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Note: This page contains sample records for the topic "futures market prices" from the National Library of EnergyBeta (NLEBeta).
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they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


1

ANALYSIS OF FUTURE PRICES AND MARKETS FOR HIGH TEMPERATURE SUPERCONDUCTORS  

E-Print Network [OSTI]

1 ANALYSIS OF FUTURE PRICES AND MARKETS FOR HIGH TEMPERATURE SUPERCONDUCTORS BY JOSEPH MULHOLLAND of Future Prices and Markets for High Temperature Superconductors 2 I . PURPOSE, SCOPE AND APPROACH analysts to make estimates about the future of high temperature superconductor (HTS) technology

2

An empirical analysis of the price discovery function of Shanghai fuel oil futures market  

Science Journals Connector (OSTI)

This paper analyzes the role of price discovery of Shanghai fuel oil futures market by using methods, such ... there exists a strong relationship between the spot price of Huangpu fuel oil spot market and the fut...

Zhen Wang; Zhenhai Liu; Chao Chen

2007-08-01T23:59:59.000Z

3

Do traders' positions predict oil futures prices? A case study of the 2008 oil market turbulence  

Science Journals Connector (OSTI)

This paper empirically tests whether traders' positions predict crude oil futures prices through a case study of the 2008 oil market turbulence. It is found that the three-week-long trend of traders' net long position significantly forecasts prices when the prices excessively rise from April to July 2008. In specific, speculator's trend forecasts price continuation, whereas the hedger's trend predicts price reversals. However, during the price-collapsing period, no significant predictability is found. These findings provide two implications. First, the hedging-pressure theory can be supported in oil futures market when the market prices excessively rise and traders' position data are used as trend concept. Second, the recent argument on 'the 2008 oil bubble' asserting that excessive rise in oil prices during the second quarter of 2008 is associated with speculator's positions can be supported.

Sunghee Choi; Seok-Joon Hwang

2012-01-01T23:59:59.000Z

4

Futures pricing in electricity markets based on stable CARMA spot models  

E-Print Network [OSTI]

Futures pricing in electricity markets based on stable CARMA spot models Gernot M¨uller Vortrag im years, electricity markets throughout the world have undergone massive changes due to deregulations risk but also against price movements. Consequently, statistical modeling and estimation of electricity

Gerkmann, Ralf

5

Application of neural networking in live cattle futures market: an approach to price-forecasting  

E-Print Network [OSTI]

-Ju Chou, B. S. , Tunghai University, Taiwan Chair of Advisory Committee Dr. John P. Walter The ability to forecast closing price changes using neural networking technique in the live cattle futures market was investigated. Futures prices and contract... volumes from 1977 through 1991 were obtained for four commodities: live cattle, feeder cattle, live hogs and corn. Twelve neural networks were constructed, one for each combination of six contract months and two uading periods. The two trading periods...

Chou, Chien-Ju

2012-06-07T23:59:59.000Z

6

Price discovery in energy markets  

Science Journals Connector (OSTI)

Abstract In this study, we empirically analyze the price discovery process in the futures and spot markets for crude oil, heating oil and natural gas using daily closing prices. We use two different information share measures that are based on the methods proposed by Gonzalo and Granger (1995) and Lien and Shrestha (2014). Both measures indicate that almost all the price discovery takes place in the futures markets for the heating oil and natural gas. However, for the crude oil, the price discovery takes place both in the futures and spot markets. As a whole, our study indicates that futures markets play an important role in the price discovery process.

Keshab Shrestha

2014-01-01T23:59:59.000Z

7

CHEMICAL MARKET PRICES  

Science Journals Connector (OSTI)

CHEMICAL MARKET PRICES ... Compiled from weekly current price listings in the Oil, Paint and Drug Reporter , with permission of the publisher under its copyright. ...

1941-11-10T23:59:59.000Z

8

CHEMICAL MARKET PRICES  

Science Journals Connector (OSTI)

CHEMICAL MARKET PRICES ... Compiled from weakly current price listings in the Oil, Paint and Drug Reporter, with permission of the publisher under its copyright. ...

1941-01-10T23:59:59.000Z

9

Chemical Market Prices  

Science Journals Connector (OSTI)

Chemical Market Prices ... Compiled from weekly current price listings in the Oil, Paint and Drug Reporter with permission of the publisher under its copyright. ...

1945-01-10T23:59:59.000Z

10

CHEMICAL MARKET PRICES  

Science Journals Connector (OSTI)

CHEMICAL MARKET PRICES ... Compiled from weekly current price listings in the Oil, Paint and Drug Reporter, with permission of the publisher under its copyright. ...

1941-10-10T23:59:59.000Z

11

CHEMICAL MARKET PRICES  

Science Journals Connector (OSTI)

CHEMICAL MARKET PRICES ... Compiled from weekly current price listings in the Oil, Paint and Drug Reporter , with permission of the publisher under its copyright. ...

1941-02-10T23:59:59.000Z

12

CHEMICAL MARKET PRICES  

Science Journals Connector (OSTI)

CHEMICAL MARKET PRICES ... Compiled from weekly current price listings in the Oil, Paint and Drug Reporter , with permission of the publisher under its copyright. ...

1941-03-10T23:59:59.000Z

13

The effect of the financial sector on the evolution of oil prices: Analysis of the contribution of the futures market to the price discovery process in the WTI spot market  

Science Journals Connector (OSTI)

The aim of this article is to empirically measure the contribution of the futures market to the price discovery process in the spot market for benchmark crude oils, specifically that for West Texas Intermediate (WTI). For this purpose, we test the hypothesis that the recent evolution of the financial markets has affected the future oil market so as to increase its contribution to the price discovery process of the spot market. We modeled the relation between WTI spot and future prices as a cointegration relation. By using the Kalman filter technique, it was possible to obtain a time-varying measure of the contribution of future markets to the price discovery mechanism. The results show that in the case of WTI, the contribution of the futures market has been increasing, especially between 2003 and 2008 and then again after the start of 2009, evidencing the growing importance of factors particular to the financial markets in determining oil prices in recent years. During 2009, the spot prices adjusted to agents' future expectations rather than to the current supply and demand conditions.

Renan Silvério; Alexandre Szklo

2012-01-01T23:59:59.000Z

14

Modelling futures price volatility in energy markets: Is there a role for financial speculation?  

Science Journals Connector (OSTI)

Abstract This paper models volatility in four energy futures markets, adopting GARCH models. The variance equation is enriched with alternative measures of speculation, based on CFTC data: the market share of non-commercial traders, the Working's T index, and the percentage of net long positions of non-commercials over total open interest in future markets. It also includes a control for market liquidity. We consider four energy commodities (light sweet crude oil, heating oil, gasoline and natural gas) over the period 2000–2014, analysed at weekly frequency. We find that speculation presents a negative and significant sign. The robustness exercise shows that: i) results remain unchanged through different model specifications (GARCH-in-mean, EGARCH, and TARCH); ii) results are robust to different specifications of the mean and variance equation.

Matteo Manera; Marcella Nicolini; Ilaria Vignati

2014-01-01T23:59:59.000Z

15

Wheat and corn prices and energy markets: spillover effects  

Science Journals Connector (OSTI)

This paper investigates volatility spillover across crude oil market and wheat and corn markets. The corn commodity is taken here to assess the impact of change in demand for biofuel on wheat market. Results of multivariate GARCH model show evidence of corn price volatility transmission to wheat market. Our results indicate that while shocks (unexpected news) in crude oil market have significant impact on volatility in wheat and corn markets, the effect of crude oil price changes on wheat and corn prices is insignificant. The impulse response analysis also indicates shocks in oil markets have permanent effect on wheat and corn price changes. This reveals the influence of future crude oil markets on global food price volatility. Also indicated that fertilisers markets influenced by own-shocks and shocks in oil markets. Thus, shocks in crude oil markets have direct and indirect effects (via fertilisers markets) on food commodity markets.

Ibrahim A. Onour; Bruno S. Sergi

2012-01-01T23:59:59.000Z

16

NYMEX Futures Prices  

U.S. Energy Information Administration (EIA) Indexed Site

NYMEX Futures Prices NYMEX Futures Prices (Crude Oil in Dollars per Barrel, All Others in Dollars per Gallon) Period: Daily Weekly Monthly Annual Download Series History Download Series History Definitions, Sources & Notes Definitions, Sources & Notes Product/ Contract 12/10/13 12/11/13 12/12/13 12/13/13 12/16/13 12/17/13 View History Crude Oil (Light-Sweet, Cushing, Oklahoma) Contract 1 98.51 97.44 97.5 96.6 97.48 97.22 1983-2013 Contract 2 98.66 97.72 97.82 96.93 97.77 97.47 1985-2013 Contract 3 98.58 97.72 97.77 96.91 97.7 97.36 1983-2013 Contract 4 98.19 97.39 97.42 96.55 97.28 96.92 1985-2013 Reformulated Regular Gasoline (New York Harbor) Contract 1 1985-2006 Contract 2 1994-2006 Contract 3 1984-2006 Contract 4 1994-2006 RBOB Regular Gasoline (New York Harbor)

17

The efficiency of the U.S. cotton futures market (1986-2006): normal backwardation, co-integration, and asset pricing  

E-Print Network [OSTI]

into seasonally-differentiated contracts has yielded strong evidence of declining prices. This result differs from previously published work in the most comprehensive study of futures prices, while updating and extending information on pricing patterns...

Chavez, Marissa Joyce

2009-06-02T23:59:59.000Z

18

Price discovery in crude oil futures  

Science Journals Connector (OSTI)

Abstract This study examines price discovery among the two most prominent price benchmarks in the market for crude oil, WTI sweet crude and Brent sweet crude. Using data on the most active futures contracts measured at the one-second frequency, we find that WTI maintains a dominant role in price discovery relative to Brent, with an estimated information share in excess of 80%, over a sample from 2007 to 2012. Our analysis is robust to different decompositions of the sample, over pit-trading sessions and non-pit trading sessions, segmentation of days associated with major economic news releases, and data measured to the millisecond. We find no evidence that the dominant role of WTI in price discovery is diminished by the price spread between Brent that emerged in 2008.

John Elder; Hong Miao; Sanjay Ramchander

2014-01-01T23:59:59.000Z

19

Data driven medium term electricity price forecasting in ontario electricity market and Nord Pool.  

E-Print Network [OSTI]

??Having accurate predictions on market price variations in the future is of great importance to participants in today’s electricity market. Many studies have been done… (more)

Torbaghan, Shahab Shariat

2010-01-01T23:59:59.000Z

20

Electricity market clearing price forecasting under a deregulated electricity market.  

E-Print Network [OSTI]

??Under deregulated electric market, electricity price is no longer set by the monopoly utility company rather it responds to the market and operating conditions. Offering… (more)

Yan, Xing

2010-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "futures market prices" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


21

Natural Gas Futures Prices (NYMEX)  

Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

Nov-14 View History Spot Price Henry Hub 4.59 4.05 3.91 3.92 3.78 4.12 1997-2014 NGPL Composite 10.17 9.94 9.69 9.86 8.75 2009-2014 Futures Prices Contract 1 4.59 4.02 3.90 3.92...

22

Introduction to Futures Markets  

E-Print Network [OSTI]

in Chicago. To reduce their risk exposure, grain dealers began selling ?To Arrive? contracts, which specified the future date (usually the month) a speci- fied quantity of grain would be delivered to a particular location at a price identified... in the contract. Fixing the price in advance of deliv- ery reduced the grain dealer?s risk and made it easier to obtain credit to finance grain purchas- es from farmers. The ?To Arrive? contracts were a forerunner of the futures contracts traded today. Although...

Mintert, James R.; Welch, Mark

2009-01-07T23:59:59.000Z

23

Edgeworth price cycles in retail gasoline markets  

E-Print Network [OSTI]

In this dissertation, I present three essays that are motivated by the interesting and dynamic price-setting behavior of firms in Canadian retail gasoline markets. In the first essay, I examine behavior at the market level ...

Noel, Michael David, 1971-

2002-01-01T23:59:59.000Z

24

Psychological barriers in oil futures markets  

Science Journals Connector (OSTI)

Abstract WTI and Brent futures are tested for the presence of psychological barriers around $10 price levels, applying a multiple hypothesis testing approach for statistical robustness. Psychological barriers are found to be present in Brent prices but not in WTI prices, which is argued to be due to the more prominent role that Brent plays as a global benchmark and, based on recent behavioural finance research, the greater complexity inherent in Brent fundamental value determination. Brent particularly displays evidence that when breaching a $10 barrier level from below with rising prices, the trend is for prices to fall on average subsequently. Similar behavioural-based patterns are evidenced at the $1 barrier level for the WTI–Brent spread. We show that psychological barriers only appear to influence prices in the pre-credit crisis period of 1990–2006, with such effects dissipating during the crisis and as markets reverted back to wider economy focused fundamentals. A range of reaction windows are applied with the main finding being that the trading potential around such psychological barrier levels is primarily in the immediate 1–5 days following a breach. The research contributes to the scant existing research on psychological influences on energy market traders, and suggests strong potential for further application of behavioural finance theories to improving understanding of energy markets price dynamics.

Michael Dowling; Mark Cummins; Brian M. Lucey

2014-01-01T23:59:59.000Z

25

Delivery and Hedging Delivery ties the futures price to the spot price.  

E-Print Network [OSTI]

Delivery and Hedging · Delivery ties the futures price to the spot price. · On the delivery date, the settlement price of the futures contract is determined by the spot price. · Hence, when the delivery period is reached, the futures price should be very close to the spot price. · Changes in futures prices usually

Lyuu, Yuh-Dauh

26

International black tea market integration and price discovery  

E-Print Network [OSTI]

(2000) considered price relationships among three milk markets in Kyrgyzstan. They used cointegration analysis to see if milk market prices of two private sector and one government sector markets are integrated. They concluded that two private sector...

Dharmasena, Kalu Arachchillage Senarath Dhananjaya Bandara

2004-09-30T23:59:59.000Z

27

Price dynamics of crude oil and the regional ethylene markets  

Science Journals Connector (OSTI)

This paper is the first attempt to investigate: (i) is the crude oil (WTI) price significantly related to the regional ethylene prices in the Naphtha intensive ethylene markets of the Far East, North West Europe, and the Mediterranean? (ii) What drives the regional ethylene prices? The paper is motivated by the recent and growing debate on the lead-lag relationship between crude oil and ethylene prices. Our findings, based on the long-run structural modelling approach of Pesaran and Shin, and subject to the limitations of the study, tend to suggest: (i) crude oil (WTI) price is cointegrated with the regional ethylene prices (ii) our within-sample error-correction model results tend to indicate that although the ethylene prices in North West Europe and the Mediterranean were weakly endogenous, the Far East ethylene price was weakly exogenous both in the short and long term. These results are consistent, during most of the period under review (2000.1–2006.4) with the surge in demand for ethylene throughout the Far East, particularly in China and South Korea. However, during the post-sample forecast period as evidenced in our variance decompositions analysis, the emergence of WTI as a leading player as well, is consistent with the recent surge in WTI price (fuelled mainly, among others, by the strong hedging activities in the WTI futures/options and refining tightness) reflecting the growing importance of input cost in determining the dynamic interactions of input and product prices.

Mansur Masih; Ibrahim Algahtani; Lurion De Mello

2010-01-01T23:59:59.000Z

28

A uniform price auction with locational price adjustments for competitive electricity markets  

E-Print Network [OSTI]

; Competitive electricity markets; Poolco Alternatively, the Market Coordinator could ask the private generatingA uniform price auction with locational price adjustments for competitive electricity markets b School of Electrical Engineering, Phillips Hall, Cornell University, Ithaca, NY 14853, USA c

29

Crude oil prices: Are our oil markets too tight?  

SciTech Connect (OSTI)

The answer to the question posed in the title is that tightness in the market will surely prevail through 1997. And as discussed herein, with worldwide demand expected to continue to grow, there will be a strong call on extra oil supply. Meeting those demands, however, will not be straightforward--as many observers wrongly believe--considering the industry`s practice of maintaining crude stocks at ``Just in time`` inventory levels. Further, impact will be felt from the growing rig shortage, particularly for deepwater units, and down-stream capacity limits. While these factors indicate 1997 should be another good year for the service industry, it is difficult to get any kind of consensus view from the oil price market. With most observers` information dominated by the rarely optimistic futures price of crude, as reflected by the NYMEX, the important fact is that oil prices have remained stable for three years and increased steadily through 1996.

Simmons, M.R. [Simmons and Co. International, Houston, TX (United States)

1997-02-01T23:59:59.000Z

30

Utility Marketing Strategies & Pricing Trends  

E-Print Network [OSTI]

Marketing seems to have come out of the utility closet once again, but it is a far sight different from that of the 1970s. While some are still on a “sell, Sell, SELL!” campaign, most are soberly looking at their customers from a different...

Gilbert, J. S.

31

Market penetration: How to predict the future  

SciTech Connect (OSTI)

One of the biggest challenges in evaluating energy efficiency programs if predicting how customers will react to future changes in incentives and technology. This is especially true within a competitive energy market. This paper presents a market penetration model based on states preference experiments that is designed to address this issue. This model can be used to predict customer purchases under alternative market conditions such as changes in technology, program rebates, and program qualifying equipment. The states preference experiments elicit ratings from residential customers on program and equipment attributes such as price, rebate, and annual energy savings. The data were collected and the model estimated using information from Florida Power and Light's Residential HVAC Program. Once the data are gathered, a logic model is estimated to determine the probability that each program and equipment option is chosen. The model is calibrated to actual customer purchases and then used to predict future equipment purchases and program participation. When values for very high efficiency equipment are included in the experiment, the model can be used to forecast future purchases even when purchases of these units are not currently widespread. This market penetration model provides a method to forecast equipment purchases, while taking into account future changes in technology, and, as a result, will be valuable to any utility seeking to continue energy efficiency programs in a competitive market.

Grover, S.; Ikenze-Bates, I.

1998-07-01T23:59:59.000Z

32

Forecasting Model for Crude Oil Price Using Artificial Neural Networks and Commodity Futures Prices  

E-Print Network [OSTI]

This paper presents a model based on multilayer feedforward neural network to forecast crude oil spot price direction in the short-term, up to three days ahead. A great deal of attention was paid on finding the optimal ANN model structure. In addition, several methods of data pre-processing were tested. Our approach is to create a benchmark based on lagged value of pre-processed spot price, then add pre-processed futures prices for 1, 2, 3,and four months to maturity, one by one and also altogether. The results on the benchmark suggest that a dynamic model of 13 lags is the optimal to forecast spot price direction for the short-term. Further, the forecast accuracy of the direction of the market was 78%, 66%, and 53% for one, two, and three days in future conclusively. For all the experiments, that include futures data as an input, the results show that on the short-term, futures prices do hold new information on the spot price direction. The results obtained will generate comprehensive understanding of the cr...

Kulkarni, Siddhivinayak

2009-01-01T23:59:59.000Z

33

Index Revision, House Price Risk, and the Market for House Price Derivatives  

E-Print Network [OSTI]

bias in repeat-sales home price indices. Freddie Mac workingpaper #05–03. Index Revision, House Price Risk, and theMarket for House Price Derivatives Calhoun, C. A. (1996).

Deng, Yongheng; Quigley, John M.

2008-01-01T23:59:59.000Z

34

Future Sustainability Forecasting by Exchange Markets: Basic Theory and an Application  

Science Journals Connector (OSTI)

Future Sustainability Forecasting by Exchange Markets: Basic Theory and an Application ... For example, there are often subtle but persistent price signals embedded in long-term investment decisions and stock price fluctuations. ...

Nataliya Malyshkina; Deb Niemeier

2010-11-08T23:59:59.000Z

35

The role of trader positions in spot and futures prices for WTI  

Science Journals Connector (OSTI)

Abstract We extend the analysis of causal relations between trader positions and oil prices and the process of price discovery by estimating a cointegrating vector autoregression (CVAR) model that expands the cash-and-carry relation between spot and futures prices to quantify long- and short-run relations among oil prices, trader positions, interest rates, and oil inventories. Results indicate that oil inventories and trader positions are needed to generate cointegration between spot and futures prices. The presence of trader positions and oil inventories suggest that both play a role in price discovery. Furthermore, the cointegrating relation for price loads into the equation for both oil prices and trader positions. This suggests a bi-directional simultaneous adjustment process between oil prices and trader positions. This expands the unidirectional causal relation from oil prices to trader positions that is generated by previous studies. Additional results suggest that price discovery occurs in the market for heavily traded near-month futures contracts, but discovery for thin far-month futures markets occurs in the spot market. Together, these results suggest mechanisms by which speculation could affect oil prices but the results presented here are moot regarding their effects.

Marek Kolodziej; Robert K. Kaufmann

2013-01-01T23:59:59.000Z

36

Forecasting the Standard & Poor's 500 stock index futures price: interest rates, dividend yields, and cointegration  

E-Print Network [OSTI]

Daily Standard & Poor's 500 stock index cash and futures prices are studies in a cointegration framework using Johansen's maximum likelihood procedure. To account for the time varying relationship(basis) between the two markets, a theoretical...

Fritsch, Roger Erwin

1997-01-01T23:59:59.000Z

37

Carbon pricing, nuclear power and electricity markets  

SciTech Connect (OSTI)

In 2010, the NEA in conjunction with the International Energy Agency produced an analysis of the Projected Costs of Electricity for almost 200 power plants, covering nuclear, fossil fuel and renewable electricity generation. That analysis used lifetime costs to consider the merits of each technology. However, the lifetime cost analysis is less applicable in liberalised markets and does not look specifically at the viewpoint of the private investor. A follow-up NEA assessment of the competitiveness of nuclear energy against coal- and gas-fired generation under carbon pricing has considered just this question. The economic competition in electricity markets is today between nuclear energy and gas-fired power generation, with coal-fired power generation not being competitive as soon as even modest carbon pricing is introduced. Whether nuclear energy or natural gas comes out ahead in their competition depends on a number of assumptions, which, while all entirely reasonable, yield very different outcomes. The analysis in this study has been developed on the basis of daily data from European power markets over the last five-year period. Three different methodologies, a Profit Analysis looking at historic returns over the past five years, an Investment Analysis projecting the conditions of the past five years over the lifetime of plants and a Carbon Tax Analysis (differentiating the Investment Analysis for different carbon prices) look at the issue of competitiveness from different angles. They show that the competitiveness of nuclear energy depends on a number of variables which in different configurations determine whether electricity produced from nuclear power or from CCGTs generates higher profits for its investors. These are overnight costs, financing costs, gas prices, carbon prices, profit margins (or mark-ups), the amount of coal with carbon capture and electricity prices. This paper will present the outcomes of the analysis in the context of a liberalised electricity market, looking at the impact of the seven key variables and provide conclusions on the portfolio that a utility would be advised to maintain, given the need to limit risks but also to move to low carbon power generation. Such portfolio diversification would not only limit financial investor risk, but also a number of non-financial risks (climate change, security of supply, accidents). (authors)

Cameron, R.; Keppler, J. H. [OECD Nuclear Energy Agency, 12, boulevard des Iles, 92130 Issy-les-Moulineaux (France)

2012-07-01T23:59:59.000Z

38

Price analysis in electronic marketing of Texas feeder cattle  

E-Print Network [OSTI]

on the impact of. electronic marketing on price in- dicate an average premium of $3. 25 per hundredweight for com- puterized marketing. CA~ may be an efficient marketing system as it appears to increase the level of prices, as well as facilitate spatial... of Cattle Feedlots by Size Group, Texas 1968-79. Page 2. Egg Price Behavior 3. Hog Price Behavior 26 27 4. A Test of Conformity of Variance of Daily Average Price During a Year. 28 5. Transportation Costs 6. CA~ Statistics 7. Auction Market...

Mahoney, Kathleen Ann

2012-06-07T23:59:59.000Z

39

Comparison of AEO 2007 Natural Gas Price Forecast to NYMEX FuturesPrices  

SciTech Connect (OSTI)

On December 5, 2006, the reference case projections from 'Annual Energy Outlook 2007' (AEO 2007) were posted on the Energy Information Administration's (EIA) web site. We at LBNL have, in the past, compared the EIA's reference case long-term natural gas price forecasts from the AEO series to contemporaneous natural gas prices that can be locked in through the forward market, with the goal of better understanding fuel price risk and the role that renewables play in mitigating such risk (see, for example, http://eetd.lbl.gov/ea/EMS/reports/53587.pdf or http://eetd.lbl.gov/ea/ems/reports/54751.pdf). As such, we were curious to see how the latest AEO gas price forecast compares to the NYMEX natural gas futures strip. This brief memo presents our findings. As a refresher, our past work in this area has found that over the past six years, forward natural gas contracts (with prices that can be locked in--e.g., gas futures, swaps, and physical supply) have traded at a premium relative to contemporaneous long-term reference case gas price forecasts from the EIA. As such, we have concluded that, over the past six years at least, levelized cost comparisons of fixed-price renewable generation with variable-price gas-fired generation that have been based on AEO natural gas price forecasts (rather than forward prices) have yielded results that are 'biased' in favor of gas-fired generation, presuming that long-term price stability is valued. In this memo we simply update our past analysis to include the latest long-term gas price forecast from the EIA, as contained in AEO 2007. For the sake of brevity, we do not rehash information (on methodology, potential explanations for the premiums, etc.) contained in our earlier reports on this topic; readers interested in such information are encouraged to download that work from http://eetd.lbl.gov/ea/EMS/reports/53587.pdf or http://eetd.lbl.gov/ea/ems/reports/54751.pdf. As was the case in the past six AEO releases (AEO 2001-AEO 2006), we once again find that the AEO 2007 reference case gas price forecast falls well below where NYMEX natural gas futures contracts were trading at the time the EIA finalized its gas price forecast. Specifically, the NYMEX-AEO 2007 premium is $0.73/MMBtu levelized over five years. In other words, on average, one would have had to pay $0.73/MMBtu more than the AEO 2007 reference case natural gas price forecast in order to lock in natural gas prices over the coming five years and thereby replicate the price stability provided intrinsically by fixed-price renewable generation (or other forms of generation whose costs are not tied to the price of natural gas). Fixed-price generation (like certain forms of renewable generation) obviously need not bear this added cost, and moreover can provide price stability for terms well in excess of five years.

Bolinger, Mark; Wiser, Ryan

2006-12-06T23:59:59.000Z

40

Comparison of AEO 2006 Natural Gas Price Forecast to NYMEX FuturesPrices  

SciTech Connect (OSTI)

On December 12, 2005, the reference case projections from ''Annual Energy Outlook 2006'' (AEO 2006) were posted on the Energy Information Administration's (EIA) web site. We at LBNL have in the past compared the EIA's reference case long-term natural gas price forecasts from the AEO series to contemporaneous natural gas prices that can be locked in through the forward market, with the goal of better understanding fuel price risk and the role that renewables play in mitigating such risk (see, for example, http://eetd.lbl.gov/ea/EMS/reports/53587.pdf or http://eetd.lbl.gov/ea/ems/reports/54751.pdf). As such, we were curious to see how the latest AEO gas price forecast compares to the NYMEX natural gas futures strip. This brief memo presents our findings. As a refresher, our past work in this area has found that over the past five years, forward natural gas contracts (with prices that can be locked in--e.g., gas futures, swaps, and physical supply) have traded at a premium relative to contemporaneous long-term reference case gas price forecasts from the EIA. As such, we have concluded that, over the past five years at least, levelized cost comparisons of fixed-price renewable generation with variable price gas-fired generation that have been based on AEO natural gas price forecasts (rather than forward prices) have yielded results that are ''biased'' in favor of gas-fired generation, presuming that long-term price stability is valued. In this memo we simply update our past analysis to include the latest long-term gas price forecast from the EIA, as contained in AEO 2006. For the sake of brevity, we do not rehash information (on methodology, potential explanations for the premiums, etc.) contained in our earlier reports on this topic; readers interested in such information are encouraged to download that work from http://eetd.lbl.gov/ea/EMS/reports/53587.pdf or http://eetd.lbl.gov/ea/ems/reports/54751.pdf. As was the case in the past five AEO releases (AEO 2001-AEO 2005), we once again find that the AEO 2006 reference case gas price forecast falls well below where NYMEX natural gas futures contracts were trading at the time the EIA finalized its gas price forecast. In fact, the NYMEX-AEO 2006 reference case comparison yields by far the largest premium--$2.3/MMBtu levelized over five years--that we have seen over the last six years. In other words, on average, one would have had to pay $2.3/MMBtu more than the AEO 2006 reference case natural gas price forecast in order to lock in natural gas prices over the coming five years and thereby replicate the price stability provided intrinsically by fixed-price renewable generation (or other forms of generation whose costs are not tied to the price of natural gas). Fixed-price generation (like certain forms of renewable generation) obviously need not bear this added cost, and moreover can provide price stability for terms well in excess of five years.

Bolinger, Mark; Wiser, Ryan

2005-12-19T23:59:59.000Z

Note: This page contains sample records for the topic "futures market prices" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


41

Comparison of AEO 2005 natural gas price forecast to NYMEX futures prices  

SciTech Connect (OSTI)

On December 9, the reference case projections from ''Annual Energy Outlook 2005 (AEO 2005)'' were posted on the Energy Information Administration's (EIA) web site. As some of you may be aware, we at LBNL have in the past compared the EIA's reference case long-term natural gas price forecasts from the AEO series to contemporaneous natural gas prices that can be locked in through the forward market, with the goal of better understanding fuel price risk and the role that renewables play in mitigating such risk. As such, we were curious to see how the latest AEO gas price forecast compares to the NYMEX natural gas futures strip. This brief memo presents our findings. As a refresher, our past work in this area has found that over the past four years, forward natural gas contracts (e.g., gas futures, swaps, and physical supply) have traded at a premium relative to contemporaneous long-term reference case gas price forecasts from the EIA. As such, we have concluded that, over the past four years at least, levelized cost comparisons of fixed-price renewable generation with variable price gas-fired generation that have been based on AEO natural gas price forecasts (rather than forward prices) have yielded results that are ''biased'' in favor of gas-fired generation (presuming that long-term price stability is valued). In this memo we simply update our past analysis to include the latest long-term gas price forecast from the EIA, as contained in AEO 2005. For the sake of brevity, we do not rehash information (on methodology, potential explanations for the premiums, etc.) contained in our earlier reports on this topic; readers interested in such information are encouraged to download that work from http://eetd.lbl.gov/ea/EMS/reports/53587.pdf or, more recently (and briefly), http://eetd.lbl.gov/ea/ems/reports/54751.pdf. As was the case in the past four AEO releases (AEO 2001-AE0 2004), we once again find that the AEO 2005 reference case gas price forecast falls well below where NYMEX natural gas futures contracts were trading at the time the EIA finalized its gas price forecast. In fact, the NYMEXAEO 2005 reference case comparison yields by far the largest premium--$1.11/MMBtu levelized over six years--that we have seen over the last five years. In other words, on average, one would have to pay $1.11/MMBtu more than the AEO 2005 reference case natural gas price forecast in order to lock in natural gas prices over the coming six years and thereby replicate the price stability provided intrinsically by fixed-price renewable generation. Fixed-price renewables obviously need not bear this added cost, and moreover can provide price stability for terms well in excess of six years.

Bolinger, Mark; Wiser, Ryan

2004-12-13T23:59:59.000Z

42

Oil futures prices in a production economy with investment constraints  

E-Print Network [OSTI]

We document a new stylized fact regarding the term structure of futures volatility. We show that the relationship between the volatility of futures prices and the slope of the term structure of prices is non-monotone and ...

Kogan, Leonid

2008-01-01T23:59:59.000Z

43

Prices in Wholesale Electricity Markets and Demand Response.  

E-Print Network [OSTI]

??Price determination for a wholesale electricity market has been a long-standing issue in energy systems modeling. From an economic perspective, the complication arises from determining… (more)

Aketi, Venkata Sesha Praneeth

2014-01-01T23:59:59.000Z

44

Price and volatility relationships in the Australian electricity market.  

E-Print Network [OSTI]

??This thesis presents a collection of papers that has been published, accepted or submitted for publication. They assess price, volatility and market relationships in the… (more)

Higgs, Helen

2006-01-01T23:59:59.000Z

45

Price Responsive Demand in New York Wholesale Electricity Market using  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Price Responsive Demand in New York Wholesale Electricity Market using Price Responsive Demand in New York Wholesale Electricity Market using OpenADR Title Price Responsive Demand in New York Wholesale Electricity Market using OpenADR Publication Type Report LBNL Report Number LBNL-5557E Year of Publication 2012 Authors Kim, Joyce Jihyun, and Sila Kiliccote Date Published 06/2012 Publisher LBNL/NYSERDA Keywords commercial, demand response, dynamic pricing, mandatory hourly pricing, open automated demand response, openadr, pilot studies & implementation, price responsive demand Abstract In New York State, the default electricity pricing for large customers is Mandatory Hourly Pricing (MHP), which is charged based on zonal day-ahead market price for energy. With MHP, retail customers can adjust their building load to an economically optimal level according to hourly electricity prices. Yet, many customers seek alternative pricing options such as fixed rates through retail access for their electricity supply. Open Automated Demand Response (OpenADR) is an XML (eXtensible Markup Language) based information exchange model that communicates price and reliability information. It allows customers to evaluate hourly prices and provide demand response in an automated fashion to minimize electricity costs. This document shows how OpenADR can support MHP and facilitate price responsive demand for large commercial customers in New York City.

46

An Empirical Study of Pricing Strategies in an Online Market with High Frequency Price Information  

E-Print Network [OSTI]

We study competition among a score of firms participating in an online market for a commodity-type memory module. Firms were able to adjust prices continuously; prices determined how the firms were ranked and listed (lowest ...

Ellison, Sara Fisher

2011-07-12T23:59:59.000Z

47

Can oil prices help estimate commodity futures prices? The cases of copper and silver  

Science Journals Connector (OSTI)

There is an extensive literature on modeling the stochastic process of commodity futures. It has been shown that models with several risk factors are able to adequately fit both the level and the volatility structure of observed transactions with reasonable low errors. One of the characteristics of commodity futures markets is the relatively short term maturity of their contracts, typically ranging for only a few years. This poses a problem for valuing long term investments that require extrapolating the observed term structure. There has been little work on how to effectively do this extrapolation and in measuring its errors. Cortazar et al. (2008b) propose a multicommodity model that jointly estimates two commodities, one with much longer maturity futures contracts than the other, showing that futures prices of one commodity may be useful information for estimating the stochastic process of another. They implement the procedure using highly correlated commodities like WTI and Brent. In this paper we analyze using prices of long term oil futures contracts to help estimate long term copper and silver future prices. We start by analyzing the performance of the Cortazar et al. (2008b) multicommodity model, now applied to oil-copper and oil-silver which have much lower correlation than the WTI–Brent contracts. We show that for these commodities with lower correlation the multicommodity model seems not to be effective. We then propose a modified multicommodity model with a much simpler structure which is easier to estimate and that uses the non-stationary long term process of oil to help estimate long term copper and silver futures prices, achieving a much better fit than using available individual or multicommodity models.

Gonzalo Cortazar; Francisco Eterovic

2010-01-01T23:59:59.000Z

48

Gasoline Prices Also Influenced by Regional Gasoline Product Markets  

Gasoline and Diesel Fuel Update (EIA)

1 1 Notes: Next we examine the wholesale market's added contribution to gasoline price variation and analyze the factors that impact the gasoline balance. There are two points to take away from this chart: The U.S. market moves with the world market, as can be seen with the high inventories in 1998, being drawn down to low levels during 1999. Crude and product markets are not independent. Crude oil and product markets move together fairly closely, with some lead/lag effects during transitions. The relationship between international crude oil markets and domestic product markets raises another issue. A subtle, but very important point, lost in recent discussions of gasoline price increases: The statement has been made that crude markets are not a factor in this past spring's high gasoline prices, since crude prices were

49

Price-Responsive Load Among Mass-Market Customers  

Science Journals Connector (OSTI)

Mass-market customers are able to respond real-time pricing and other innovative rates. In fact, the technology available to mass-market customers and suppliers make these customers a unique component of a bal...

Daniel M. Violette

2002-01-01T23:59:59.000Z

50

Pricing and Firm Conduct in California's Deregulated Electricity Market  

E-Print Network [OSTI]

sector to competitive forces by restructuring the method of procuring electricity. Private electricPWP-080 Pricing and Firm Conduct in California's Deregulated Electricity Market Steven L. Puller.ucei.berkeley.edu/ucei #12;Pricing and Firm Conduct in California's Deregulated Electricity Market Steven L. Puller August

California at Berkeley. University of

51

Economics and regulation of petroleum futures markets  

SciTech Connect (OSTI)

Because the futures market in petroleum products is a relatively recent phenomenon, the implications of public policies formulated for that market have not yet been fully explored. To provide the Office of Competition of the Department of Energy (DOE) with sufficient information to assess policy alternatives, Resource Planning Associates, Inc. (RPA) was asked to analyze the development of the futures market in No. 2 oil, assess the potential for futures markets in other petroleum products, and identify policy alternatives available to DOE. To perform this analysis, the criteria for a viable futures market was established first. Then, the experience to date with the 18-month-old futures market in No. 2 oil was examined, and the potential for viable futures markets in No. 6 oil, gasoline, jet fuel, and crude oil was assessed. Finally, how existing DOE regulations and prospective actions might affect petroleum futures market development was investigated.

Not Available

1980-08-01T23:59:59.000Z

52

Unit root properties of crude oil spot and futures prices  

Science Journals Connector (OSTI)

In this article, we examine whether WTI and Brent crude oil spot and futures prices (at 1, 3 and 6 months to maturity) contain a unit root with one and two structural breaks, employing weekly data over the period 1991–2004. To realise this objective we employ Lagrange multiplier (LM) unit root tests with one and two endogenous structural breaks proposed by Lee and Strazicich [2003. Minimum Lagrange multiplier unit root test with two structural breaks. Review of Economics and Statistics, 85, 1082–1089; 2004. Minimum LM unit root test with one structural break. Working Paper no. 04–17, Department of Economics, Appalachian State University]. We find that each of the oil price series can be characterised as a random walk process and that the endogenous structural breaks are significant and meaningful in terms of events that have impacted on world oil markets.

Svetlana Maslyuk; Russell Smyth

2008-01-01T23:59:59.000Z

53

Arbitrage free cointegrated models in gas and oil future markets  

E-Print Network [OSTI]

In this article we present a continuous time model for natural gas and crude oil future prices. Its main feature is the possibility to link both energies in the long term and in the short term. For each energy, the future returns are represented as the sum of volatility functions driven by motions. Under the risk neutral probability, the motions of both energies are correlated Brownian motions while under the historical probability, they are cointegrated by a Vectorial Error Correction Model. Our approach is equivalent to defining the market price of risk. This model is free of arbitrage: thus, it can be used for risk management as well for option pricing issues. Calibration on European market data and numerical simulations illustrate well its behavior.

Benmenzer, Grégory; Jérusalem, Céline

2007-01-01T23:59:59.000Z

54

Linear and non-linear Granger causality between oil spot and futures prices: A wavelet based test  

Science Journals Connector (OSTI)

Abstract This study is the first attempt to investigate both the linear and non-linear Granger causality between wavelet transformed spot and futures oil prices. Our findings consistently indicate bidirectional causality between the spot and futures oil markets at different time scales, under linear and non-linear causality assumptions, and also during the recent financial crisis. Our results tend to shed further light on the ongoing controversy over the relative price discovery role played by spot market as opposed to futures market in oil price fluctuations, especially during periods of high uncertainty.

Mohammed Alzahrani; Mansur Masih; Omar Al-Titi

2014-01-01T23:59:59.000Z

55

Wild oil prices, but brave stock markets! The case of GCC stock markets  

Science Journals Connector (OSTI)

Using a vector autoregression (VAR) analysis, this paper investigates the effect of the sharp increase in oil prices on stock market returns for five Gulf ... to 24 May, 2005. During this period oil price has bee...

Bashar Abu Zarour

56

Understanding Price Volatility in Electricity Markets  

Science Journals Connector (OSTI)

This paper illustrates notions of volatility associated with power systems spot prices for electricity. The paper demonstrates a frequency-domain method useful to separate out periodic price variations from random variations. It then uses actual observed ... Keywords: electricity spot pricing, risk management

Fernando L. Alvarado; Rajesh Rajaraman

2000-01-01T23:59:59.000Z

57

Energy and Financial Markets Overview: Crude Oil Price Formation  

Gasoline and Diesel Fuel Update (EIA)

Richard Newell, Administrator Richard Newell, Administrator May 5, 2011 Energy and Financial Markets Overview: Crude Oil Price Formation EIA's Energy and Financial Markets Initiative 2 Richard Newell, May 5, 2011 * Collection of critical energy information to improve market transparency - improved petroleum storage capacity data - other improvements to data quality and coverage * Analysis of energy and financial market dynamics to improve understanding of what drives energy prices - internal analysis and sponsorship of external research * Outreach with other Federal agencies, experts, and the public - expert workshops - public sessions at EIA's energy conferences - solicitation of public comment on EIA's data collections

58

Prediction of prices for oil products in the internal market  

Science Journals Connector (OSTI)

The paper considers the Russian market of oil products and provides a model of this ... of which suggests approaches to forecasting the internal prices of oil producers within one scenario of economic development...

Yu. A. Bakman

2014-01-01T23:59:59.000Z

59

Pricing Energy in a Multi-Utility Market  

Science Journals Connector (OSTI)

We present a solution to the problem of tariff design for an energy supplier (utility). The tariffs for electricity ... prices for trading electricity on a day-ahead market like the European Energy Exchange (EEX)...

Markus Franke; Andreas Kamper; Anke Eßer

2007-01-01T23:59:59.000Z

60

Causes, Magnitude and Consequences of Price Variability in Agricultural Commodity Market: An African Perspective  

E-Print Network [OSTI]

­ unbridled population growth, oil price fluctuations, importation policies, water availability and political market, hunger, undernourishment in Africa, food productivity, population growth, oil price, importation1 Causes, Magnitude and Consequences of Price Variability in Agricultural Commodity Market

Note: This page contains sample records for the topic "futures market prices" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


61

Energy & Financial Markets: What Drives Crude Oil Prices? - Energy  

U.S. Energy Information Administration (EIA) Indexed Site

& Financial Markets - U.S. Energy Information Administration (EIA) & Financial Markets - U.S. Energy Information Administration (EIA) U.S. Energy Information Administration - EIA - Independent Statistics and Analysis Sources & Uses Petroleum & Other Liquids Crude oil, gasoline, heating oil, diesel, propane, and other liquids including biofuels and natural gas liquids. Natural Gas Exploration and reserves, storage, imports and exports, production, prices, sales. Electricity Sales, revenue and prices, power plants, fuel use, stocks, generation, trade, demand & emissions. Consumption & Efficiency Energy use in homes, commercial buildings, manufacturing, and transportation. Coal Reserves, production, prices, employ- ment and productivity, distribution, stocks, imports and exports. Renewable & Alternative Fuels

62

Energy Factors, Leasing Structure and the Market Price of Office Buildings in the U.S.  

E-Print Network [OSTI]

contractual, energy and market-related characteristics. Alocal-level wholesale energy market price dynamics and localof the relationship between energy factor markets, leasing

Jaffee, Dwight M.; Stanton, Richard; Wallace, Nancy E.

2010-01-01T23:59:59.000Z

63

Energy Factors, Leasing Structure and the Market Price of Office Buildings in the U.S.  

E-Print Network [OSTI]

contractual, energy and market-related characteristics. Alocal-level wholesale energy market price dynamics and localfunction of local energy-market and weather characteristics

Jaffee, Dwight; Stanton, Richard; Wallace, Nancy

2012-01-01T23:59:59.000Z

64

Energy Factors, Leasing Structure and the Market Price of Office Buildings in the U.S.  

E-Print Network [OSTI]

contractual, energy and market-related characteristics. Afunction of local energy-market and weather characteristicslocal-level wholesale energy market price dynamics and local

Jaffee, Dwight; Stanton, Richard; Wallace, Nancy

2012-01-01T23:59:59.000Z

65

Beyond Market Prices: Improving Productivity and Profitability of Small Farmers  

E-Print Network [OSTI]

Beyond Market Prices: Improving Productivity and Profitability of Small Farmers Tapan S. Parikh of the poorest countries (WDR 2008) · Doing so more efficiently can reduce natural resource consumption - Quality Control, Certification and Marketing for Cooperatives · Avaaj Otalo - Farmer to Farmer Knowledge

Parikh, Tapan S.

66

Price relationships and market integration in the Swedish wood fuel market  

Science Journals Connector (OSTI)

Cointegration analysis is applied to the prices of three different wood fuel assortments in the Swedish market: refined wood fuels, forest chips and industrial by-products. For the latter two, the price series are separated according to two consumer categories: district heating (DH) plants and industrial consumers. Two types of analyses are performed. The first concerns whether the fuels within each consumer group can be bundled together as belonging to the same market in terms of product homogeneity. The second involves analysis of the prices of homogeneous fuels in the two consumer categories. It is found that in the DH sector, refined wood fuels should be observed as a separate market because their prices do not share a common trend with the prices of any of the other fuels. This lack of a common trend is likely due to the highly internationalized nature of the wood pellet market. The DH prices of forest chips and industrial by-products follow a common trend, as do the prices paid for industrial by-products by DH plants and industrial consumers. The prices of forest chips paid by industrial consumers and DH plants do not share a common trend. The prices paid by industrial consumers for industrial by-products and forest chips also do not share a common trend. These results highlight both the differences between the markets for unrefined and refined wood fuels and the presence of inefficiencies in the Swedish wood fuel market.

Olle Olsson; Bengt Hillring

2013-01-01T23:59:59.000Z

67

Oil price and financial markets: Multivariate dynamic frequency analysis  

Science Journals Connector (OSTI)

Abstract The aim of this paper is to study the degree of interdependence between oil price and stock market index into two groups of countries: oil-importers and oil-exporters. To this end, we propose a new empirical methodology allowing a time-varying dynamic correlation measure between the stock market index and the oil price series. We use the frequency approach proposed by Priestley and Tong (1973), that is the evolutionary co-spectral analysis. This method allows us to distinguish between short-run and medium-run dependence. In order to complete our study by analysing long-run dependence, we use the cointegration procedure developed by Engle and Granger (1987). We find that interdependence between the oil price and the stock market is stronger in exporters? markets than in the importers? ones.

Anna Creti; Zied Ftiti; Khaled Guesmi

2014-01-01T23:59:59.000Z

68

Green Pricing Program Marketing Expenditures: Finding the Right Balance  

SciTech Connect (OSTI)

In practice, it is difficult to determine the optimal amount to spend on marketing and administering a green pricing program. Budgets for marketing and administration of green pricing programs are a function of several factors: the region of the country; the size of the utility service area; the customer base and media markets encompassed within that service area; the point or stage in the lifespan of the program; and certainly, not least, the utility's commitment to and goals for the program. All of these factors vary significantly among programs. This report presents data on programs that have funded both marketing and program administration. The National Renewable Energy Laboratory (NREL) gathers the data annually from utility green pricing program managers. Programs reporting data to NREL spent a median of 18.8% of program revenues on marketing their programs in 2008 and 16.6% in 2007. The smallest utilities (those with less than 25,000 in their eligible customer base) spent 49% of revenues on marketing, significantly more than the overall median. This report addresses the role of renewable energy credit (REC) marketers and start-up costs--and the role of marketing, generally, in achieving program objectives, including expansion of renewable energy.

Friedman, B.; Miller, M.

2009-09-01T23:59:59.000Z

69

A k-factor GIGARCH process: Estimation and Application on electricity market spot prices.  

E-Print Network [OSTI]

A k-factor GIGARCH process: Estimation and Application on electricity market spot prices. Abdou Kâ time series of market data, such as electricity spot price, exhibit long-memory, in the sense of slowly this approach to electricity prices (spot prices) from the German energy market (European Energy e

Paris-Sud XI, Université de

70

PJM's Capacity Market in a Price-Spike World Steven Stoft  

E-Print Network [OSTI]

PWP-077 PJM's Capacity Market in a Price-Spike World Steven Stoft May, 2000 This paper is part, California 94720-5180 www.ucei.org #12;PJM's Capacity Market in a Price-Spike World Steven Stoft 1 May 7, 2000 Abstract PJM's market was designed to rely on a capacity market instead of price-spikes to induce

California at Berkeley. University of

71

Market Maker Inventories and Stock Prices Terrence Hendershott  

E-Print Network [OSTI]

complement past returns when predicting return reversals. A portfolio long high-inventory/low-return stocks and short low-inventory/high-return stocks yields 1.05% over the following 5 days. Order imbalancesMarket Maker Inventories and Stock Prices Terrence Hendershott U.C. Berkeley Mark S. Seasholes U

Kearns, Michael

72

Existence Advertising, Price Competition, and Asymmetric Market Structure  

E-Print Network [OSTI]

Existence Advertising, Price Competition, and Asymmetric Market Structure B. Curtis Eaton Ian Mac static properties. We then examine the two stage game in which firms advertise their existence in stage 1 to the two stage game is asymmetric, and far from the Bertrand equilibrium. Keywords: Existence advertising

Hickman, Mark

73

Analysis on various pricing scenarios in a deregulated electricity market  

E-Print Network [OSTI]

II TEXAS MARKET CONDITIONS.......................................................................25 A. Natural Gas..............................................................................25 III ELECTRICITY PRICING STRUCTURE... ....................................46 A. Texas A&M University at Corpus Christi...............................47 B. Texas A&M University at Galveston......................................55 C. Texas A&M University at Kingsville .....................................61 D. Texas A...

Afanador Delgado, Catalina

2006-10-30T23:59:59.000Z

74

Econometric analysis of Australian emissions markets and electricity prices  

Science Journals Connector (OSTI)

Abstract Emissions trading schemes aim to reduce the emissions in certain pollutants using a market based scheme where participants can buy and sell permits for these emissions. This paper analyses the efficiency of the two largest schemes in Australia, the NSW Greenhouse Gas Abatement Scheme and the Mandatory Renewable Energy Trading Scheme, through their effect on the electricity prices from 2004 to 2010. We use a long run structural modelling technique for the first time on this market. It provides a practical long-run approach to structural relationships which enable the determination of the effectiveness of the theoretical expectations of these schemes. The generalised forecast error variance decomposition analysis finds that both schemes? emissions prices have little effect on electricity prices. Generalised impulse response function analysis support this finding indicating that when shocks are applied to electricity by the two schemes it returns to equilibrium very quickly. This indicates that these schemes are not having the effect anticipated in their legislation.

Deborah Cotton; Lurion De Mello

2014-01-01T23:59:59.000Z

75

The dynamics of commodity spot and futures markets  

E-Print Network [OSTI]

I discuss the short-run dynamics of commodity prices, production, and inventories, as well as the sources and effects of market volatility. I explain how prices, rates of production, and inventory levels are interrelated, ...

Pindyck, Robert S.

2001-01-01T23:59:59.000Z

76

Price Forecasting and Optimal Operation of Wholesale Customers in a Competitive Electricity Market.  

E-Print Network [OSTI]

??This thesis addresses two main issues: first, forecasting short-term electricity market prices; and second, the application of short-term electricity market price forecasts to operation planning… (more)

Zareipour, Hamidreza

2006-01-01T23:59:59.000Z

77

Price and transaction volume in the Dutch housing market  

Science Journals Connector (OSTI)

Housing markets typically exhibit a strong positive correlation between the rate of price increase and the number of houses sold. We document this correlation on high-quality Dutch data for the period 1985–2007, and estimate a VEC-model that allows us to study the mechanism giving rise to the correlation. The data identify the flows of new houses offered for sale as well as the number of houses sold. According to the estimated model, shocks to market fundamentals (the mortgage rate) have an immediate and significant impact on the rate of sale, little impact on the rate of entry of new houses for sale, and a gradual impact on the house prices. This pattern is consistent with an economy where buyers and sellers gradually learn about changes in market conditions.

Erik R. de Wit; Peter Englund; Marc K. Francke

2013-01-01T23:59:59.000Z

78

Price Dispersion in the Housing Market: The Role of Bargaining and Search Costs  

E-Print Network [OSTI]

Price Dispersion in the Housing Market: The Role of Bargaining and Search Costs Gaetano Lisi a basic fact of housing markets: price dispersion. The variance in house prices is basically due to both the deal. Furthermore, the house price is substantially determined by bargaining between the parties

Boyer, Edmond

79

Market Design and Price Behavior in Restructured Electricity Markets: An International Comparison  

E-Print Network [OSTI]

on Workable Energy Regulation (POWER). POWER is a program of the University of California Energy Institute of California Energy Institute 2539 Channing Way Berkeley, California 94720-5180 www.ucei.berkeley.edu/ucei #12 of market- clearing prices. Using evidence on the design of electricity markets in England and Wales, Norway

California at Berkeley. University of

80

Quantitative Model of Price Diffusion and Market Friction Based on Trading as a Mechanistic Random Process  

E-Print Network [OSTI]

Quantitative Model of Price Diffusion and Market Friction Based on Trading as a Mechanistic Random 2002; published 13 March 2003) We model trading and price formation in a market under the assumption for the most basic properties of markets, such as the diffusion rate of prices (which is the standard measure

Note: This page contains sample records for the topic "futures market prices" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


81

Impact of Storage on the Efficiency and Prices in Real-Time Electricity Markets  

E-Print Network [OSTI]

Impact of Storage on the Efficiency and Prices in Real-Time Electricity Markets Nicolas Gast Jean in dynamic real-time electricity markets. We consider that demand and renewable generation are stochastic of a competitive equilibrium when players are price-takers (they do not affect market prices). We further establish

Paris-Sud XI, Université de

82

IEEE TRANSACTIONS ON POWER SYSTEMS 1 Economic Impact of Electricity Market Price  

E-Print Network [OSTI]

IEEE TRANSACTIONS ON POWER SYSTEMS 1 Economic Impact of Electricity Market Price Forecasting Errors to forecast electricity market prices and improve forecast accuracy. However, no studies have been reported, the application of electricity market price forecasts to short-term operation scheduling of two typical

Cañizares, Claudio A.

83

Energy futures prices and commodity index investment: New evidence from firm-level position data  

Science Journals Connector (OSTI)

Abstract This study brings fresh data to the highly-charged debate about the price impact of long-only index investment in energy futures markets. We use high frequency daily position data for NYMEX crude oil, heating oil, RBOB gasoline, and natural gas that are available from a representative large commodity index fund (“the Fund”) from February 13, 2007 through May 30, 2012. Simple correlation tests, difference-in-means tests, and Granger causality tests generally fail to reject the null hypothesis that changes in Fund positions are unrelated to subsequent returns in all four energy futures markets. We also fail to find any evidence that Fund positions are related to price movements in the WTI crude oil futures market using Singleton's (2014) long-horizon regression specification. Our results suggest Singleton's original finding of significant impacts and high levels of predictability may be simply an artifact of the method used to impute crude oil positions of index investors in a particular sample period. Overall, the empirical tests in this study fail to find compelling evidence of predictive links between commodity index investment and changes in energy futures prices.

Dwight R. Sanders; Scott H. Irwin

2014-01-01T23:59:59.000Z

84

Market dynamics and price stability: the case of the global energy market  

Science Journals Connector (OSTI)

In the present century, the potential for growth in the world demand for energy is enormous due to growing industrialisation, economic advancement and population growth far and wide. However, there is hardly any consensus on strategies to encourage smooth supplies and sustainable prices in the energy markets. This paper examines the current market conditions of the energy market and the mechanism used by OPEC for pricing. Lessons from past years are used to design policies aimed at creating a win-win situation for energy producers and consumers.

Quhafah Mahasneh

2003-01-01T23:59:59.000Z

85

Estimating VaR and ES of the spot price of oil using futures-varying centiles  

Science Journals Connector (OSTI)

This paper illustrates the power of modern statistical modelling in estimating measures of market risk, here applied to the Brent and WTI spot price of oil. Both Value-at-Risk (VaR) and Expected Shortfall (ES) are cast in terms of conditional centiles based upon semi-parametric regression models. Using the GAMLSS statistical framework, we stress the important aspects of selecting a highly flexible parametric distribution (skewed Student's t-distribution) and of modelling both skewness and kurtosis as non-parametric functions of the price of oil futures. Furthermore, an empirical application characterises the relationship between spot oil prices and oil futures - exploiting the futures market to explain the dynamics of the physical market. Our results suggest that NYMEX WTI has heavier tails compared with the ICE Brent. Contrary to the common platitude of the industry, we argue that 'somebody knows something' in the oil business.

Giacomo Scandroglio; Andrea Gori; Emiliano Vaccaro; Vlasios Voudouris

2013-01-01T23:59:59.000Z

86

Green Pricing Program Marketing Expenditures: Finding the Right Balance  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

449 449 September 2009 Green Pricing Program Marketing Expenditures: Finding the Right Balance Barry Friedman and Mackay Miller National Renewable Energy Laboratory 1617 Cole Boulevard, Golden, Colorado 80401-3393 303-275-3000 * www.nrel.gov NREL is a national laboratory of the U.S. Department of Energy Office of Energy Efficiency and Renewable Energy Operated by the Alliance for Sustainable Energy, LLC Contract No. DE-AC36-08-GO28308 Technical Report NREL/TP-6A2-46449 September 2009 Green Pricing Program Marketing Expenditures: Finding the Right Balance Barry Friedman and Mackay Miller Prepared under Task No. SAO9.3003 NOTICE This report was prepared as an account of work sponsored by an agency of the United States government. Neither the United States government nor any agency thereof, nor any of their employees, makes any

87

Dynamics of heating oil market prices in Europe  

Science Journals Connector (OSTI)

This paper concerns the German and French heating oil market and attempts to establish long- and short-term relationships between German and French monthly heating oil prices in dollars, the Rotterdam spot price for the same product and the DM/US$ and FF/US$ exchange rates during the period from January 1987 to December 1997. To model the market over the period under consideration, incorporating the Gulf War, we have used conventional unit root tests and sequential tests allowing structural changes. Long-term relationships, with shifts in regime detected by cointegration tests taking structural breaks into consideration, are estimated. The short-term dynamics defined by a vector error correction (VEC) mechanism is derived in a classic manner when in presence of a cointegrated VAR system. The econometric results obtained are commented on from an economic point of view. Weak exogeneity tests are performed and the conditional VEC model is deduced, enabling measurement of the instantaneous impact of variations in weakly exogenous exchange rates on variations in heating oil prices in Germany and France. Lastly, a study is made of the asymmetric reaction of domestic prices to positive and negative variations in exchange rates and the Rotterdam spot quotation.

J.P. Indjehagopian; F. Lantz; V. Simon

2000-01-01T23:59:59.000Z

88

Future market for ceramics in vehicle engines and their impacts  

SciTech Connect (OSTI)

Ceramic engine components have potential to improve vehicle fuel economy. Some recent tests have also shown their environmental benefits, particularly in reducing particulate emissions in heavy-duty diesel engines. The authors used the data from a survey of the US vehicle engine and component manufacturers relating to ceramic engine components to develop a set of market penetration models. The survey identified promising ceramic components and provided data on the timing of achieving introductory shares in light and heavy-duty markets. Some ceramic components will penetrate the market when the pilot-scale costs are reduced to one-fifth of their current values, and many more will enter the market when the costs are reduced to one-tenth of the current values. An ongoing ceramics research program sponsored by the US Department of Energy has the goal of achieving such price reductions. The size and value of the future ceramic components market and the impacts of this market in terms of fuel savings, reduction in carbon dioxide emissions, and potential reduction in other criteria pollutants are presented. The future ceramic components market will be 9 million components worth $29 million within 5 years of introduction and will expand to 692 million components worth $3,484 million within 20 years. The projected annual energy savings are 3.8 trillion Btu by 5 years, increasing to 526 trillion Btu during the twentieth year. These energy savings will reduce carbon dioxide emissions by 41 million tons during the twentieth year. Ceramic components will help reduce particulate emissions by 100 million tons in 2030 and save the nation`s urban areas $152 million. The paper presents the analytical approach and discusses other economic impacts.

Vyas, A.; Hanson, D. [Argonne National Lab., IL (United States). Center for Transportation Research; Stodolsky, F. [Argonne National Lab., IL (United States). Center for Transportation Research]|[Argonne National Lab., Washington, DC (United States)

1995-02-01T23:59:59.000Z

89

Speculative trading and oil price dynamic: A study of the WTI market  

Science Journals Connector (OSTI)

The aim of this paper is to study the oil price dynamic in West Texas Intermediate (WTI) market in the US. By using statistical and econometric tools, we first attempt to identify the long term relationship between WTI spot prices and the prices of futures contracts on the New York Mercantile Exchange (NYMEX). Subsequently we model the short term dynamic between these two prices and this analysis points up several breaks. On this basis, a short term Markov Switching Vectorial Error Correction model (MS-VECM) with two distinct states (standard state and crisis state) has been estimated. Finally we introduce the volumes of transactions observed on the NYMEX for the WTI contracts and we estimate the influence of the non-commercial players. We conclude that the hypothesis of an influence of non-commercial players on the probability for being in the crisis state cannot be rejected. In addition, we show that the rise in liquidity of the first financial contracts, as measured by the volume of open interest, is a key element to understand the dynamics in market prices.

Emmanuel Hache; Frédéric Lantz

2013-01-01T23:59:59.000Z

90

Market-oriented ethanol and corn-trade policies can reduce climate-induced US corn price volatility  

Science Journals Connector (OSTI)

Agriculture is closely affected by climate. Over the past decade, biofuels have emerged as another important factor shaping the agricultural sector. We ask whether the presence of the US ethanol sector can play a role in moderating increases in US corn price variability, projected to occur in response to near-term global warming. Our findings suggest that the answer to this question depends heavily on the underlying forces shaping the ethanol industry. If mandate-driven, there is little doubt that the presence of the corn-ethanol sector will exacerbate price volatility. However, if market-driven, then the emergence of the corn-ethanol sector can be a double-edged sword for corn price volatility, possibly cushioning the impact of increased climate driven supply volatility, but also inheriting volatility from the newly integrated energy markets via crude oil price fluctuations. We find that empirically the former effect dominates, reducing price volatility by 27%. In contrast, mandates on ethanol production increase future price volatility by 54% in under future climate after 2020. We also consider the potential for liberalized international corn trade to cushion corn price volatility in the US. Our results suggest that allowing corn to move freely internationally serves to reduce the impact of near-term climate change on US corn price volatility by 8%.

Monika Verma; Thomas Hertel; Noah Diffenbaugh

2014-01-01T23:59:59.000Z

91

Forecasting electricity spot market prices with a k-factor GIGARCH process.  

E-Print Network [OSTI]

Forecasting electricity spot market prices with a k-factor GIGARCH process. Abdou Kâ Diongue this method to the German electricity price market for the period August 15, 2000 - De- cember 31, 2002 and we; Electricity prices; Forecast; GIGARCH process. Corresponding author: Universite Gaston Berger de Saint

Paris-Sud XI, Université de

92

On the relationship between world oil prices and GCC stock markets  

E-Print Network [OSTI]

On the relationship between world oil prices and GCC stock markets Mohamed El Hedi Arouri Associate ABSTRACT We provide comprehensive evidence on the relationship between oil prices and stock mar- kets to be more sensitive to negative than to positive oil shocks. Keywords: oil prices, stock markets, GCC

Paris-Sud XI, Université de

93

Jumps and stochastic volatility in crude oil futures prices using conditional moments of integrated volatility  

Science Journals Connector (OSTI)

Abstract We evaluate alternative models of the volatility of commodity futures prices based on high-frequency intraday data from the crude oil futures markets for the October 2001–December 2012 period. These models are implemented with a simple GMM estimator that matches sample moments of the realized volatility to the corresponding population moments of the integrated volatility. Models incorporating both stochastic volatility and jumps in the returns series are compared on the basis of the overall fit of the data over the full sample period and subsamples. We also find that jumps in the returns series add to the accuracy of volatility forecasts.

Christopher F. Baum; Paola Zerilli

2014-01-01T23:59:59.000Z

94

Price dynamics in a Markovian limit order market Rama CONT & Adrien de LARRARD  

E-Print Network [OSTI]

Price dynamics in a Markovian limit order market Rama CONT & Adrien de LARRARD December 2010 expressions for various quantities of interest such as the distribution of the duration between price changes, the distribution and autocorrelation of price changes, and the probability of an upward move in the price

Paris-Sud XI, Université de

95

Price dynamics in a Markovian limit order market Rama CONT & Adrien de LARRARD  

E-Print Network [OSTI]

Price dynamics in a Markovian limit order market Rama CONT & Adrien de LARRARD IEOR Dept, Columbia expressions for various quantities of interest such as the distribution of the duration between price changes, the distribution and autocorrelation of price changes, and the probability of an upward move in the price

Paris-Sud XI, Université de

96

Participatory Sensing in Commerce: Using Mobile Camera Phones to Track Market Price Dispersion  

E-Print Network [OSTI]

-of-concept participatory mobile camera-phone sensing systems that we have built: (1) automating fuel price collectionParticipatory Sensing in Commerce: Using Mobile Camera Phones to Track Market Price Dispersion In economics, price dispersion refers to the price difference of a homogeneous good across different vendors

Bulusu, Nirupama

97

Fossil fuel prices, exchange rate, and stock market: A dynamic causality analysis on the European market  

Science Journals Connector (OSTI)

The article investigates causality between fossil fuel prices, exchange rates and the German Stock Index (DAX). The analysis is conducted dynamically with the use of rolling VAR methodology on the basis of weekly data from the period October 2001–June 2012. The results obtained show that the relationship between the variables changed over time depending on the level of volatility in financial markets.

S?awomir ?miech; Monika Papie?

2013-01-01T23:59:59.000Z

98

Essays on the workings and uses of futures markets  

E-Print Network [OSTI]

This dissertation investigates various issues of interest regarding the workings and uses of commodity futures markets. Chapter II evaluates the relative performances of various estimators of bid-ask spreads in futures markets using commonly...

Bryant, Henry L., IV

2004-09-30T23:59:59.000Z

99

2007 Wholesale Power Rate Case Final Proposal : Market Price Forecast Study.  

SciTech Connect (OSTI)

This study presents BPA's market price forecasts for the Final Proposal, which are based on AURORA modeling. AURORA calculates the variable cost of the marginal resource in a competitively priced energy market. In competitive market pricing, the marginal cost of production is equivalent to the market-clearing price. Market-clearing prices are important factors for informing BPA's power rates. AURORA was used as the primary tool for (a) estimating the forward price for the IOU REP Settlement benefits calculation for fiscal years (FY) 2008 and 2009, (b) estimating the uncertainty surrounding DSI payments and IOU REP Settlements benefits, (c) informing the secondary revenue forecast and (d) providing a price input used for the risk analysis. For information about the calculation of the secondary revenues, uncertainty regarding the IOU REP Settlement benefits and DSI payment uncertainty, and the risk run, see Risk Analysis Study WP-07-FS-BPA-04.

United States. Bonneville Power Administration.

2006-07-01T23:59:59.000Z

100

Testing the weak-form efficiency of the WTI crude oil futures market  

Science Journals Connector (OSTI)

Abstract The weak-form efficiency of energy futures markets has long been studied and empirical evidence suggests controversial conclusions. In this work, nonparametric methods are adopted to estimate the Hurst indexes of the WTI crude oil futures prices (1983–2012) and a strict statistical test in the spirit of bootstrapping is put forward to verify the weak-form market efficiency hypothesis. The results show that the crude oil futures market is efficient when the whole period is considered. When the whole series is divided into three sub-series separated by the outbreaks of the Gulf War and the Iraq War, it is found that the Gulf War reduced the efficiency of the market. If the sample is split into two sub-series based on the signing date of the North American Free Trade Agreement, the market is found to be inefficient in the sub-periods during which the Gulf War broke out. The same analysis on short-time series in moving windows shows that the market is inefficient only when some turbulent events occur, such as the oil price crash in 1985, the Gulf war, and the oil price crash in 2008.

Zhi-Qiang Jiang; Wen-Jie Xie; Wei-Xing Zhou

2014-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "futures market prices" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


101

Electricity Bill Savings from Residential Photovoltaic Systems: Sensitivities to Changes in Future Electricity Market Conditions  

E-Print Network [OSTI]

in wholesale energy markets. Progress in Photovoltaics:designs (e.g. , an energy market with a price cap, combinedmarket designs feature an energy market with a lower price

Darghouth, Naim

2014-01-01T23:59:59.000Z

102

Relationship Between Wind Generation and Balancing Energy Market Prices in ERCOT: 2007-2009  

SciTech Connect (OSTI)

This paper attempts to measure the average marginal effects of wind generation on the balancing-energy market price in ERCOT with the help of econometric analysis.

Nicholson, E.; Rogers, J.; Porter, K.

2010-11-01T23:59:59.000Z

103

Price effects of airline consolidation: evidence from a sample of transatlantic markets  

Science Journals Connector (OSTI)

We offer an analysis of price effects of airline consolidation on a sample of transatlantic markets. While joining airlines’ networks through...

Volodymyr Bilotkach

2007-11-01T23:59:59.000Z

104

Japan's Solar Photovoltaic (PV) Market: An Analysis of Residential System Prices (Presentation)  

SciTech Connect (OSTI)

This presentation summarizes market and policy factors influencing residential solar photovoltaic system prices in Japan, and compares these factors to related developments in the United States.

James, T.

2014-03-01T23:59:59.000Z

105

Optimal Futures Market Strategies for Energy Service Providers  

Science Journals Connector (OSTI)

The previous chapter focused on developing a stochastic model for the dynamics of electricity prices. Here we show how the bid-based model can be applied to help market participants optimize their decision making...

Petter L. Skantze; Marija D. Ilic

2001-01-01T23:59:59.000Z

106

Scenario Projections for Future Market Potentials of Biobased Bulk Chemicals  

Science Journals Connector (OSTI)

Product values are production costs plus profits, and they include variable costs, fixed costs, taxes, insurance fees, plant overheads, allowance for marketing, administration, and R&D, as well as a so-called capital charge representing depreciation and profits. ... Future fossil fuel prices depend on (global) political developments, developments of reserves, exploitation of different fossil resources, and demand. ... This research was partly supported by the European Commission (Research Directorate General), 5th Framework European Network (GROWTH) Program by support of the project “BREW” with the full title “Medium and long-term opportunities and risks of the biotechnological production of bulk chemicals from renewable resources” (Contract No. G5MA-CT-2002-00014). ...

Veronika Dornburg; Barbara G. Hermann; Martin K. Patel

2008-02-23T23:59:59.000Z

107

On the shortterm influence of oil price changes on stock markets in GCC countries: linear and nonlinear analyses  

E-Print Network [OSTI]

1 On the shortterm influence of oil price changes on stock markets in GCC countries the short-run relationships between oil prices and GCC stock markets. Since GCC countries are major world energy market players, their stock markets may be susceptible to oil price shocks. To account

Paris-Sud XI, Université de

108

Modelling locational price spreads in competitive electricity markets; applications for transmission rights valuation and replication  

Science Journals Connector (OSTI)

......price of fuel (oil, gas, and coal...feeds into the price of electricity...the emergence of heating and cooling degree...locational power price risk. Changes...derivatives (heating and cooling degree...supply side, the price of fuel for power...Futures contracts on oil and gas, both......

Petter Skantze; Marija Ilic; Andrej Gubina

2004-10-01T23:59:59.000Z

109

Price volatility forecasting using artificial neural networks in emerging electricity markets  

Science Journals Connector (OSTI)

In the adaptive short-term electricity price forecasting, it may be premature to rely solely on the hourly price forecast. The volatility of electricity price should also be analysed to provide additional insight on price forecasting. This paper proposes a price volatility module to analyse electricity price spikes and study the probability distribution of electricity price. Two methods are used to study the probability distribution of electricity price: the analytical method and the ANN method. Furthermore, ANN method is used to study the impact of line limits, line outages, generator outages, load pattern and bidding strategy on short term price forecasting, in addition to sensitivity analysis to determine the extent to which these factors impact price forecasting. Data used in this study are spot electricity prices from California market in the period which includes the crisis months where extreme volatility was observed.

Ahmad F. Al-Ajlouni; Hatim Y. Yamin; Ali Eyadeh

2012-01-01T23:59:59.000Z

110

An overview of global gold market and gold price forecasting Shahriar Shafiee a,n  

E-Print Network [OSTI]

into the relationship between gold price and other key influencing variables, such as oil price and global inflationAn overview of global gold market and gold price forecasting Shahriar Shafiee a,n , Erkan Topal b history: Received 6 February 2009 Received in revised form 20 April 2010 Accepted 17 May 2010 Jel

Boisvert, Jeff

111

OIL PRICE IMPACT ON FINANCIAL MARKETS: CO-SPECTRAL ANALYSIS FOR EXPORTING VERSUS IMPORTING COUNTRIES  

E-Print Network [OSTI]

OIL PRICE IMPACT ON FINANCIAL MARKETS: CO-SPECTRAL ANALYSIS FOR EXPORTING VERSUS IMPORTING://www.economie.polytechnique.edu/ mailto:chantal.poujouly@polytechnique.edu hal-00822070,version1-14May2013 #12;1 Oil price impact Khaled Guesmi3 Abstract The aim of this paper is to study the degree of interdependence between oil price

Boyer, Edmond

112

Time Series Methods for ForecastingElectricityMarket Pricing Zoran Obradovic Kevin Tomsovic  

E-Print Network [OSTI]

Time Series Methods for ForecastingElectricityMarket Pricing Zoran Obradovic Kevin Tomsovic PO Box the predictability of electricity price under new market regulations and the engineering aspects of large scale of traditional commodities, such as,oil or agricultural products. Clearly, assessing the effectiveness

Obradovic, Zoran

113

A Probability Theory Based Price Determination Framework for Utility Companies in an Oligopolistic Energy Market  

E-Print Network [OSTI]

Energy Market Tiansong Cui, Yanzhi Wang, Xue Lin, Shahin Nazarian, and Massoud Pedram University to determine the energy price for utility companies in an oligopolistic energy market. At the beginning of each non-cooperative utility companies that offer time-of-use dependent energy prices to energy consumers

Pedram, Massoud

114

Nonlinear Pricing Strategies and Market Concentration in the Airline Industry  

E-Print Network [OSTI]

with a unit mass. Further assume that the reservation utility v is su?ciently high so that the whole market is covered.9 Firmi?s, i = 1;2, decisionproblemconsistsofofieringquality-pricepairs(qiL;piL) and (qiH;piH) that maximize proflts subject... to incentive-compatibility (IC) and par- ticipation constraints, given the other flrm?s quality-price pairs. Formally, Maxp iL;piH;qiL;qiH ?i = ?[(piL ?cqiL)xiL]? q 2 iL 2 +(1??)[(piH ?cqiH)xiH]? q2iH 2 s.t. HqiH ?piH ? HqiL ?piL; (ICH) LqiL ?piL ? LqiH ?pi...

Hernandez Garcia, Manuel A.

2010-10-12T23:59:59.000Z

115

Competition and price discrimination in the market for mailing lists  

E-Print Network [OSTI]

Katz, M. L. (1984). Price discrimination and monopolistic395–416. Shepard, A. (1991). Price discrimination and retailJ. (1952). The theory of price. New York: Macmillan. Stole,

Borzekowski, Ron; Thomadsen, Raphael; Taragin, Charles

2009-01-01T23:59:59.000Z

116

Asymmetric information and list-price reductions in the housing market  

Science Journals Connector (OSTI)

Abstract In housing markets with asymmetric information list prices may signal unobserved properties of the house or the seller. Asymmetric information is the starting point for many models for the housing market. In this paper, we estimate the causal effect of list-price reductions on the time houses remain for sale on the market to test for the presence of asymmetric information. We use very rich and extensive administrative data from the Netherlands. Our empirical results show that list-price reductions significantly increase the selling rate of a house, but also the rate of withdrawal from the market increases.

Erik R. de Wit; Bas van der Klaauw

2013-01-01T23:59:59.000Z

117

Essays on price dynamics, discovery, and dynamic threshold effects among energy spot markets in North America  

E-Print Network [OSTI]

stylized facts concerning electricity prices: high volatility, mean-reversion, seasonality, and frequent extreme jumps in prices (Huisman and Mahieu, 2003). See Bunn (2004) for more studies concerning modeling electricity prices. De Vany and Walls (1999... or five trading days) convergence with respect to external shocks. Jerko, Mjelde, and Bessler (2004) using directed graphs to examine the contemporaneous causal flows 9 among spot markets suggested electricity price information flows...

Park, Haesun

2005-11-01T23:59:59.000Z

118

Volume 29, Issue 2 On the short-term influence of oil price changes on stock markets in gcc  

E-Print Network [OSTI]

Volume 29, Issue 2 On the short-term influence of oil price changes on stock markets Rouen & LEO Abstract This paper examines the short-run relationships between oil prices and GCC stock to oil price shocks. To account for the fact that stock markets may respond nonlinearly to oil price

Paris-Sud XI, Université de

119

Separation and Volatility of Locational Marginal Prices in Restructured Wholesale Power Markets  

E-Print Network [OSTI]

Test Bed I. INTRODUCTION THE wholesale power market design proposed by the U.S. Federal Energy1 Separation and Volatility of Locational Marginal Prices in Restructured Wholesale Power Markets (LMPs) in an ISO-managed restructured wholesale power market operating over an AC transmission grid

Tesfatsion, Leigh

120

Comparison of AEO 2009 Natural Gas Price Forecast to NYMEX Futures Prices  

E-Print Network [OSTI]

of better understanding fuel price risk and the role thatonly to natural gas fuel price risk (i.e. , the risk thatsuch attributes, including fuel price risk. Furthermore, our

Bolinger, Mark

2009-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "futures market prices" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


121

Comparison of AEO 2010 Natural Gas Price Forecast to NYMEX Futures Prices  

E-Print Network [OSTI]

of better understanding fuel price risk and the role thatonly to natural gas fuel price risk (i.e. , the risk thatsuch attributes, including fuel price risk. Furthermore, our

Bolinger, Mark A.

2010-01-01T23:59:59.000Z

122

Comparison of AEO 2008 Natural Gas Price Forecast to NYMEX Futures Prices  

E-Print Network [OSTI]

of better understanding fuel price risk and the role thatonly to natural gas fuel price risk (i.e. , the risk thatsuch attributes, including fuel price risk. Furthermore, our

Bolinger, Mark

2008-01-01T23:59:59.000Z

123

Comparison of AEO 2008 Natural Gas Price Forecast to NYMEX Futures Prices  

E-Print Network [OSTI]

need to consider coal and other fuel prices. This work wascoal-fired generation, for example), for several reasons: (1) price

Bolinger, Mark

2008-01-01T23:59:59.000Z

124

Definitions of Marketing Terms  

E-Print Network [OSTI]

Extension Service.. Dean McCorkle and Kevin Dhuyvetter* Cash Market Cash marketing basis ? the difference be- tween a cash price and a futures price of a par- ticular commodity on a given futures exchange. It is calculated as: Basis = cash price - futures... price. Basis can be positive or negative. Basis contract ? an agreement between a producer and a grain elevator (or feedlot) that specifi es the cash price upon future delivery as a fi xed amount in relation to the futures price (above or below...

McCorkle, Dean; Dhuyvetter, Kevin C.

2008-12-05T23:59:59.000Z

125

Embedding renewable energy pricing policies in day-ahead electricity market clearing  

Science Journals Connector (OSTI)

Abstract Since the 90s various policies have been applied for supporting the development of Renewable Energy Sources (RES), including quota or amount-based systems and price-based systems (feed-in tariffs or “FiT”). In both cases, there is a political stress when there is a need to increase the renewable uplift charge rates (out-of-market mechanism), in order to finance the RES projects. This issue is resolved by adopting a novel market framework, in which the demand entities’ clearing price entails the whole cost they are willing to pay for their participation in the energy market, including energy prices, reserve prices and the RES uplift price. A Mixed Complementarity Problem is utilized for clearing the market, in which the demand clearing prices are implicitly defined by mixing the explicit prices for energy, reserves and the RES uplift. The model retains the consistency of the supply (energy and reserves) and demand cleared quantities with the respective bids and the clearing prices, and attains a significant decrease of the payments through the relevant uplift accounts. The efficiency of the proposed model is demonstrated on a 24-h day-ahead market simulation using the IEEE RTS-96, defining endogenously the RES uplift under a system-wide FiT and a Green Certificate mechanism.

Andreas G. Vlachos; Pandelis N. Biskas

2014-01-01T23:59:59.000Z

126

The Impact of Market Clearing Time and Price Signal Delay on the Stability of Electric Power Markets  

SciTech Connect (OSTI)

We generalize a model, proposed by Alvarado, of the electric power market by including the effects of control and communication. To simulate realistic markets, our model issues control signals only at given times and those signals are delayed during transmission. These two effects transform Alvarado's continuous system into a hybrid system, with consequential effects. The stability analysis of the new system reveals two important properties. First, there is an upper limit on the market clearing time and the delay of the price signal beyond which the system becomes unstable. Second, there is a counter-intuitive relationship between the market clearing time and price signal delay: when the market clearing time is relatively long, delaying the price signal can improve the market's stability while reducing the communication delay can destabilize the market. This counter-intuitive effect shows that the full impact of information technology on power markets can be significant and difficult to anticipate. Therefore, as markets are designed and regulated, careful attention should be paid to the effects of information technology on the market's dynamic behavior.

Nutaro, James J [ORNL; Protopopescu, Vladimir A [ORNL

2009-01-01T23:59:59.000Z

127

Energy Factors, Leasing Structure and the Market Price of Office Buildings  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Energy Factors, Leasing Structure and the Market Price of Office Buildings Energy Factors, Leasing Structure and the Market Price of Office Buildings in the U.S. Speaker(s): Nancy Wallace Date: June 15, 2011 - 12:00pm Location: 90-3122 Seminar Host/Point of Contact: Paul Mathew The talk will cover the results from an empirical paper that analyzes the relationship between energy factor markets, leasing structures and the transaction prices of office buildings in the {U.S.} We employ a large sample of 15,133 office building transactions that occurred between 2001 and 2010. In addition to building characteristics, we also include information on the operating expenses, the net operating income, and the market capitalization rates at sale to estimate an asset pricing model for commercial office real estate assets. A further set of important controls

128

Modelling power spot prices in deregulated European energy markets: a dual long memory approach  

Science Journals Connector (OSTI)

In the last decade, with deregulation and introduction of competition in power markets, prices forecasting have become a real challenge for all market participants. However, forecasting is a rather complex task since electricity prices involve many features comparably with financial ones. Electricity markets have a highly volatile nature. They are indeed a more unpredictable than that of other commodities referred to as extreme volatile. In this paper, the two most emerging European electricity markets are considered. A preliminary analysis of the time series attests to the presence of a long range dependance behaviour. Therefore, prices processes are modelled using ARFIMA-FIGARCH under Gaussian and non-Gaussian distributions. Such models are sufficiently flexible to handle the long memory phenomena often encountered in both conditional mean and conditional variance in electricity spot prices. Forecasting is subsequently performed on the basis of adequate models.

Najeh Chaâbane; Foued Saâdaoui; Saloua Benammou

2012-01-01T23:59:59.000Z

129

Food price volatility  

Science Journals Connector (OSTI)

...much lower on the political agenda in the...Despite the inherent risks in agricultural...markets and crop insurance. While these...measures of price risk management (Morgan 2001). Insurance markets are well...not for price risk. Futures and...

2010-01-01T23:59:59.000Z

130

On the Stochastic Properties of Carbon Futures Prices Julien Chevallier  

E-Print Network [OSTI]

, in the wider context of the European Union Emissions Trading Scheme (EU ETS) and the price formation

131

Agent-based competitive simulation: exploring future retail energy markets  

Science Journals Connector (OSTI)

Future sustainable energy systems will need efficient, clean, low-cost, renewable energy sources, as well as market structures that motivate sustainable behaviors on the part of households and businesses. "Smart grid" components can help consumers manage ...

Carsten Block; John Collins; Wolfgang Ketter

2010-08-01T23:59:59.000Z

132

Pricing Schemes for Metropolitan Traffic Data Markets Negin Golrezaei1  

E-Print Network [OSTI]

online market such as Inter- net advertising and cloud computing, data market- places are still, but also increases air pollution. According to Texas Transportation Institute, the number of hours wasted

Shahabi, Cyrus

133

Past, present and future evolution of oil prices .  

E-Print Network [OSTI]

??This thesis reviews how oil price has evolved throughout time since it was discovered and commercially exploited in 1859 in Pennsylvania. Rather than a pure… (more)

Corsetti, Manuel

2010-01-01T23:59:59.000Z

134

Essays on oil price shocks and financial markets   

E-Print Network [OSTI]

This thesis is composed of three chapters, which can be read independently. The first chapter investigates how oil price volatility affects the investment decisions for a panel of Japanese firms. The model is estimated ...

Wang, Jiayue

2012-06-26T23:59:59.000Z

135

Impact of Exogenous Shocks on Oil Product Market Prices  

Science Journals Connector (OSTI)

The presence in Italy of a high number of vertically integrated energy companies, has given us the idea to investigate the effects that adoption of new price policies, and geopolitical events, have on the mechani...

Antonio Angelo Romano; Giuseppe Scandurra

2011-01-01T23:59:59.000Z

136

Time-varying long range dependence in energy futures markets  

Science Journals Connector (OSTI)

Abstract This study aims to investigate the presence of long-range dependence in energy futures markets. Using a daily dataset covering from 1990 to 2013 (which includes crucial events for energy markets such as invasion of Iraq and global financial crisis of 2008), we estimate time-varying generalized Hurst exponents of several energy futures contracts with different times to maturity using a rolling window approach. Results reveal that efficiency of energy futures markets is clearly time-varying and changes drastically over the sample period. For futures contracts with 1–4 months to maturities, crude oil and gasoline are found to be more efficient compared to others. On the other hand, for contracts with 5–9 months to maturities, crude oil and natural gas futures are more efficient. For almost every different month to maturity, heating oil and gas oil futures are found to be the least efficient markets. Moreover in general, the efficiency of energy futures markets is found to be decreasing dramatically when time to maturity is increasing. Several implications are discussed.

Ahmet Sensoy; Erk Hacihasanoglu

2014-01-01T23:59:59.000Z

137

The price of energy efficiency in the Spanish car market  

Science Journals Connector (OSTI)

Abstract Due to climate change, energy dependence and other energy-related issues, most developed countries are attempting to reduce fossil-fuel use in the transport sector. Accordingly, there are several instruments that have been in place for many years, such as mandatory design standards, taxes on fuels, car purchase and ownership, and energy efficiency labels. Yet it is still not clear whether consumers value energy efficiency as a characteristic of vehicles. In this paper we use the European labelling system for light vehicles, which classifies automobiles according to their relative fuel consumption levels, as a novel, alternative indicator for energy efficiency. Moreover, we use a unique database that incorporates official commercial prices along with prices obtained through ‘mystery shopping’ at a selection of Spanish car retailers. We apply the hedonic price method to this database to estimate the price functions for vehicles and thereby obtain the marginal price of vehicles rated highly in terms of energy efficiency. Our results show that vehicles labelled A and B are sold at prices 3 to 5.9 percent higher than those with similar characteristics but lower energy-efficiency labels.

Ibon Galarraga; Ana Ramos; Josu Lucas; Xavier Labandeira

2014-01-01T23:59:59.000Z

138

Average Residential Price  

U.S. Energy Information Administration (EIA) Indexed Site

Data Series: Average Residential Price Residential Price - Local Distribution Companies Residential Price - Marketers Residential % Sold by Local Distribution Companies Average...

139

Past, present and future evolution of oil prices  

E-Print Network [OSTI]

This thesis reviews how oil price has evolved throughout time since it was discovered and commercially exploited in 1859 in Pennsylvania. Rather than a pure economic study, this thesis illustrates how major historic and ...

Corsetti, Manuel

2010-01-01T23:59:59.000Z

140

The impact of oil price shocks on the stock market return and volatility relationship  

Science Journals Connector (OSTI)

Abstract This paper examines the impact of structural oil price shocks on the covariance of U.S. stock market return and stock market volatility. We construct from daily data on return and volatility the covariance of return and volatility at monthly frequency. The measures of daily volatility are realized-volatility at high frequency (normalized squared return), conditional-volatility recovered from a stochastic volatility model, and implied-volatility deduced from options prices. Positive shocks to aggregate demand and to oil-market specific demand are associated with negative effects on the covariance of return and volatility. Oil supply disruptions are associated with positive effects on the covariance of return and volatility. The spillover index between the structural oil price shocks and covariance of stock return and volatility is large and highly statistically significant.

Wensheng Kang; Ronald A. Ratti; Kyung Hwan Yoon

2015-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "futures market prices" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


141

Milk Futures, Options and Basis  

E-Print Network [OSTI]

The milk futures and options market enables producers and processors to manage price risk. This publication explains hedging, margin accounts, basis and how to track it, and other fundamentals of the futures and options market....

Haigh, Michael; Stockton, Matthew; Anderson, David P.; Schwart Jr., Robert B.

2001-10-12T23:59:59.000Z

142

Can agent-based models forecast spot prices in electricity markets? Evidence from the New Zealand electricity market  

Science Journals Connector (OSTI)

Abstract Modelling price formation in electricity markets is a notoriously difficult process, due to physical constraints on electricity generation and transmission, and the potential for market power. This difficulty has inspired the recent development of bottom-up agent-based algorithmic learning models of electricity markets. While these have proven quite successful in small models, few authors have attempted any validation of their model against real-world data in a more realistic model. In this paper we develop the SWEM model, where we take one of the most promising algorithms from the literature, a modified version of the Roth and Erev algorithm, and apply it to a 19-node simplification of the New Zealand electricity market. Once key variables such as water storage are accounted for, we show that our model can closely mimic short-run (weekly) electricity prices at these 19 nodes, given fundamental inputs such as fuel costs, network data, and demand. We show that agents in SWEM are able to manipulate market power when a line outage makes them an effective monopolist in the market. SWEM has already been applied to a wide variety of policy applications in the New Zealand market.22 This research was partly funded by a University of Auckland FDRF Grant #9554/3627082. The authors would like thank Andy Philpott, Golbon Zakeri, Anthony Downward, an anonymous referee, and participants at the EPOC Winter Workshop 2010 for their helpful comments.

David Young; Stephen Poletti; Oliver Browne

2014-01-01T23:59:59.000Z

143

Testing the arbitrage pricing theory in an emerging stock market: the case of Mauritius  

Science Journals Connector (OSTI)

This study focuses on the arbitrage pricing theory (APT) framework to analyse several macroeconomic factors likely to influence the market return (SEMDEX return) on the Stock Exchange of Mauritius (SEM). Seven variables are considered: the consumer price index, oil price, exchange rate, tourist arrival rate, electricity consumption, Lombard rate and aggregate money supply. The sample data are monthly observations from January 2002 to December 2006. Four variables that are statistically significant at the 10% level or better in explaining variation in the equity premium on the SEM are: the level of the price index, the oil price (given that Mauritius is heavily dependent on oil imports), the exchange rate and the level of economic activity as proxied by electricity consumption. The most important variable is the exchange rate. The reliability of the model is tested and found to be adequate.

Sunil K. Bundoo

2009-01-01T23:59:59.000Z

144

Exchange rate effect on carbon credit price via energy markets  

Science Journals Connector (OSTI)

Abstract This paper examines the impact of currency exchange rates on the carbon market. We scrutinize this effect through the European Union Emission Trading Scheme (EU-ETS), which primarily uses two substitutable fossil energy inputs for the generation of electricity: coal and natural gas. The European coal market is directly driven by global coal markets that are denominated in USD, whereas, natural gas is mainly imported from Russia and is denominated in Euros. The impulse response functions of a Structural Vector Autoregression (SVAR) model demonstrate that a shock in the Euro/USD exchange rate can be transmitted through the channel of energy substitution between coal and natural gas, and influence on the carbon credit market.

Jongmin Yu; Mindy L. Mallory

2014-01-01T23:59:59.000Z

145

Utility Marketing Strategies and Pricing Trends (An Overview)  

E-Print Network [OSTI]

"Industries and utilities alike find themselves today in a very competitive environment. Industry finds that it must defend against threats to its markets from both domestic and foreign competitors. Likewise, utilities are challenged by industry...

Reynolds, S.

146

Understanding for Grain Marketing  

E-Print Network [OSTI]

Understanding for Grain Marketing Commodity Futures and Options CIS1089 The Authors: L.D. MakusContracts A futures contract is a standard- ized contract that is traded on a futures market exchange. The contract. This bulletin presents some marketing tools to help producers recognize the sources of price risk

O'Laughlin, Jay

147

Oil Prices, Stock Markets and Portfolio Investment: Evidence from Sector Analysis in Europe over the Last Decade  

E-Print Network [OSTI]

Oil Prices, Stock Markets and Portfolio Investment: Evidence from Sector Analysis in Europe over This article extends the understanding of oil­stock market relationships over the last turbulent decade. Unlike returns to oil price changes differ greatly depending on the activity sector. In the out

Paris-Sud XI, Université de

148

Oil price shocks and stock market returns: New evidence from the United States and China  

Science Journals Connector (OSTI)

Abstract This study examines the time-varying correlations between oil prices shocks of different types (supply-side, aggregate demand and oil-market specific demand as per Kilian (2009) who highlighted that “Not all oil shocks are alike”) and stock market returns, using a Scalar-BEKK model. For this study we consider the aggregate stock market indices from two countries, China and the US, reflecting the most important developing and developed financial markets in the world. In addition to the whole market, we also consider correlations from key selected industrial sectors, namely Metals & Mining, Oil & Gas, Retail, Technology and Banking. The sample period runs from 1995 until 2013. We highlight several key points: (i) correlations between oil price shocks and stock returns are clearly and systematically time-varying; (ii) oil shocks of different types show substantial variation in their impact upon stock market returns; (iii) these effects differ widely across industrial sectors; and finally (iv) China is seemingly more resilient to oil price shocks than the US.

David C. Broadstock; George Filis

2014-01-01T23:59:59.000Z

149

The evolving price of household LED lamps: Recent trends and historical comparisons for the US market  

SciTech Connect (OSTI)

In recent years, household LED light bulbs (LED A lamps) have undergone a dramatic price decline. Since late 2011, we have been collecting data, on a weekly basis, for retail offerings of LED A lamps on the Internet. The resulting data set allows us to track the recent price decline in detail. LED A lamp prices declined roughly exponentially with time in 2011-2014, with decline rates of 28percent to 44percent per year depending on lumen output, and with higher-lumen lamps exhibiting more rapid price declines. By combining the Internet price data with publicly available lamp shipments indices for the US market, it is also possible to correlate LED A lamp prices against cumulative production, yielding an experience curve for LED A lamps. In 2012-2013, LED A lamp prices declined by 20-25percent for each doubling in cumulative shipments. Similar analysis of historical data for other lighting technologies reveals that LED prices have fallen significantly more rapidly with cumulative production than did their technological predecessors, which exhibited a historical decline of 14-15percent per doubling of production.

Gerke, Brian F.; Ngo, Allison T.; Alstone, Andrea L.; Fisseha, Kibret S.

2014-10-14T23:59:59.000Z

150

Customer Strategies for Responding to Day-Ahead Market HourlyElectricity Pricing  

SciTech Connect (OSTI)

Real-time pricing (RTP) has been advocated as an economically efficient means to send price signals to customers to promote demand response (DR) (Borenstein 2002, Borenstein 2005, Ruff 2002). However, limited information exists that can be used to judge how effectively RTP actually induces DR, particularly in the context of restructured electricity markets. This report describes the second phase of a study of how large, non-residential customers' adapted to default-service day-ahead hourly pricing. The customers are located in upstate New York and served under Niagara Mohawk, A National Grid Company (NMPC)'s SC-3A rate class. The SC-3A tariff is a type of RTP that provides firm, day-ahead notice of hourly varying prices indexed to New York Independent System Operator (NYISO) day-ahead market prices. The study was funded by the California Energy Commission (CEC)'s PIER program through the Demand Response Research Center (DRRC). NMPC's is the first and longest-running default-service RTP tariff implemented in the context of retail competition. The mix of NMPC's large customers exposed to day-ahead hourly prices is roughly 30% industrial, 25% commercial and 45% institutional. They have faced periods of high prices during the study period (2000-2004), thereby providing an opportunity to assess their response to volatile hourly prices. The nature of the SC-3A default service attracted competitive retailers offering a wide array of pricing and hedging options, and customers could also participate in demand response programs implemented by NYISO. The first phase of this study examined SC-3A customers' satisfaction, hedging choices and price response through in-depth customer market research and a Constant Elasticity of Substitution (CES) demand model (Goldman et al. 2004). This second phase was undertaken to answer questions that remained unresolved and to quantify price response to a higher level of granularity. We accomplished these objectives with a second customer survey and interview effort, which resulted in a higher, 76% response rate, and the adoption of the more flexible Generalized Leontief (GL) demand model, which allows us to analyze customer response under a range of conditions (e.g. at different nominal prices) and to determine the distribution of individual customers' response.

Goldman, Chuck; Hopper, Nicole; Bharvirkar, Ranjit; Neenan,Bernie; Boisvert, Dick; Cappers, Peter; Pratt, Donna; Butkins, Kim

2005-08-25T23:59:59.000Z

151

Using market-based dispatching with environmental price signals to reduce emissions  

E-Print Network [OSTI]

, University of Texas at Austin, TX 78712, USA 4 Center for International Energy and Environmental PolicyUsing market-based dispatching with environmental price signals to reduce emissions and water use for Global Change Science (CGCS) and the Center for Energy and Environmental Policy Research (CEEPR

152

A study of beef cattle marketing in Venezuela and the marketing margins between the farm and retail levels of prices  

E-Print Network [OSTI]

partial fulf i 1 lment of the recu'. rement i or rhe degree of MASTEF, OF SCIENCE December 1975 Major Subject: Agricultural Economics A STUDY OF B EF' CATTLE M. 'RKEl'lNG :N VENEZUELA AND THE MARKETING MAPGINS BETWEEN THE FVARM AND RETAIL LEVELS Ot... for the period 1960-1972 were studied from the farm through 'retail levels, the variations in price spread were large. Lack of knowledge concerning share of marketing margins has brought inadequate govern- ment policies. The structural demand equation...

Acosta, Sady Ines Borjas-Paez

2012-06-07T23:59:59.000Z

153

Energy price prediction multi-step ahead using hybrid model in the Brazilian market  

Science Journals Connector (OSTI)

Abstract This paper proposes a new hybrid approach for short-term energy price prediction. This approach combines auto-regressive integrated moving average (ARIMA) and neural network (NN) models in a cascaded structure and uses explanatory variables. A two step procedure is applied. In the first step, the selected explanatory variables are predicted. In the second one, the energy prices are forecasted by using the explanatory variables prediction. Further, the proposed model considers a multi-step ahead price prediction (12 weeks-ahead) and is applied to Brazilian market, which adopts a cost-based centralized dispatch with unique characteristics of price behavior. The results show good ability to predict spikes and satisfactory accuracy according to error measures and tail loss test when compared with traditional techniques. Thus, the model can be an attractive tool to mitigate risks in purchasing power.

José C. Reston Filho; Carolina de M. Affonso; Roberto C.L. de Oliveira

2014-01-01T23:59:59.000Z

154

Are the transport fuel retail markets regionally integrated in Spain? Evidence from price transmission  

Science Journals Connector (OSTI)

Abstract In this paper we explore whether the Spanish retail fuel markets are integrated at the regional level. We perform a comparative analysis of the transmission of international wholesale fuel prices to retail fuel prices. Our results are in favor of market segmentation, since the degree of cost pass-through differs noticeably across provinces (NUTS 3) and this outcome is clearly robust to the exclusion of the island provinces. We also found that cost pass-through is more similar for those provinces belonging to the same autonomous community (NUTS 2). It is suggested that different regulations and criteria regarding the granting of administrative authorizations from the autonomous communities could be hindering the integration of geographical markets.

Jacint Balaguer; Jordi Ripollés

2014-01-01T23:59:59.000Z

155

Energy and Financial Markets Overview: Crude Oil Price Formation  

U.S. Energy Information Administration (EIA) Indexed Site

John Maples John Maples 2011 EIA Energy Conference April 26, 2011 Transportation and the Environment Light-duty vehicle combined Corporate Average Fuel Economy Standards (CAFE) in three cases, 2005-2035 2 0 20 40 60 80 2005 2010 2015 2020 2025 2030 2035 miles per gallon Source: EIA, Annual Energy Outlook 2011 CAFE6 CAFE3 Reference John Maples, April 26, 2011 Light-duty vehicle delivered energy consumption and total transportation carbon dioxide emissions, 2005-2035 3 0 5 10 15 20 2005 2010 2015 2020 2025 2030 2035 Reference CAFE3 CAFE6 quadrillion Btu 0 500 1000 1500 2000 2500 2005 2010 2015 2020 2025 2030 2035 million metric tons carbon dioxide equivalent Source: EIA, Annual Energy Outlook 2011 John Maples, April 26, 2011 Distribution of new light-duty vehicle sales by price, 2010 and 2025 (2009$) 4 Source: EIA, Annual Energy Outlook 2011

156

A Nuclear Future? UK Government Policy and the Role of the Market?  

E-Print Network [OSTI]

their customers. In today’s liberalised electricity markets, nuclear investments would have to be undertaken by private companies taking a commercial view about the risks involved. These are considerable. The price of electricity in the forward market moves... -C) targets will not be cheap, but should be affordable. We forget that in the interwar period electricity prices were three to four times more expensive than now in real terms. Since then dramatic improvements in efficiency have allowed costs and prices...

Newbery, David

157

Chapter 8 - An Econometric Analysis of the Impact of Oil Prices on Stock Markets in Gulf Cooperation Countries  

Science Journals Connector (OSTI)

Abstract This paper implements recent bootstrap panel cointegration techniques and Seemingly Unrelated Regression (SUR) methods to investigate the existence of a long-run relationship between oil prices and Gulf Cooperation Council (GCC) Countries stock markets. Since GCC countries are major world energy market players, their stock markets are likely to be susceptible to oil price shocks. Using two different (weekly and monthly) datasets covering, respectively, the periods from June 7, 2005 to October 21, 2008, and from January 1996 to December 2007, our investigation shows that there is evidence for cointegration of oil prices and stock markets in GCC countries, while the SUR results indicate that oil price increases have a positive impact on stock prices, except in Saudi Arabia.

Mohamed El Hedi Arouri; Christophe Rault

2014-01-01T23:59:59.000Z

158

Reforming Household Energy Markets: Some Welfare Effects in the United Catherine Waddams Price  

E-Print Network [OSTI]

Reforming Household Energy Markets: Some Welfare Effects in the United Kingdom by Catherine Waddams remain vulnerable. The implications of these findings for the future of energy markets both in the UK This paper summarises some early effects of deregulating the UK energy sector, focusing on the effects

Feigon, Brooke

159

Electricity Market Module: Electricity finance and pricing submodule  

SciTech Connect (OSTI)

The purpose of this report is to document the updates to the Electricity Financial Pricing Module (EFP) to reflect the rate impacts of nuclear decommissioning. The EFP is part of the National Energy Modeling System (NEMS). The updates to the EFP related to nuclear decommissioning include both changes to the underlying data base and the methodology. Nuclear decommissioning refers to the activities performed to take a nuclear plant permanently out of service. The costs of nuclear decommissioning are substantial and uncertain. The recovery of these costs from ratepayers is to occur over the operating life of the nuclear plant. Utilities are obligated to make estimates of the nuclear decommissioning cost every few years. Given this estimate, utilities are to assess a charge upon ratepayers, such that over the operating life of the plant they collect sufficient funds to pay for the decommissioning. However, cost estimates for decommissioning have been increasing and it appears that utilities have not been collecting adequate funds to date. In addition, there is a real risk that many nuclear plants may be closed earlier than originally planned, further exacerbating the under collection problem. The updates performed in this project provide the EFP with the capability to analyze these issues. The remainder of this document is divided into two discussions: (1) Nuclear Decommissioning Data Base, and (2) Methodology. Appendix A contains the actual data base developed during the project.

NONE

1996-06-01T23:59:59.000Z

160

Cojumping: Evidence from the US Treasury Bond and Futures Market  

E-Print Network [OSTI]

asset is particularly important in managing hedging positions; Stein (1961), Lien and Tse (2002) and recently Lee (2010). Prices in both contracts are known to move with news for many di¤erent asset types, and more recently, evidence from high frequency... in the futures again higher than that in the spot returns. 4 Empirical tests 4.1 Univariate test The appropriate sample period to search for jumps is taken to be one trading day. The ?lter for days where individual series jump is the BNS univariate jump test...

Dungey, Mardi; Hvozdyk, Lyudmyla

Note: This page contains sample records for the topic "futures market prices" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


161

Mid-term electricity market clearing price forecasting: A hybrid LSSVM and ARMAX approach  

Science Journals Connector (OSTI)

Abstract A hybrid mid-term electricity market clearing price (MCP) forecasting model combining both least squares support vector machine (LSSVM) and auto-regressive moving average with external input (ARMAX) modules is presented in this paper. Mid-term electricity MCP forecasting has become essential for resources reallocation, maintenance scheduling, bilateral contracting, budgeting and planning purposes. Currently, there are many techniques available for short-term electricity market clearing price (MCP) forecasting, but very little has been done in the area of mid-term electricity MCP forecasting. PJM interconnection data have been utilized to illustrate the proposed model with numerical examples. The proposed hybrid model showed improved forecasting accuracy compared to a forecasting model using a single LSSVM.

Xing Yan; Nurul A. Chowdhury

2013-01-01T23:59:59.000Z

162

Price Differences in a Durable Products Secondary Market: A Hedonic Price Analysis  

E-Print Network [OSTI]

IrJRoFtino&GIryNiso88mmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmBB LNNN PRICE DFN NSEDAUBPENAS A Disertaonby eRoebtrOL oNiieyoJrtH FyoUrM oO soSt Ib sFLaoyFbeu eoOry eoiso FU utomiF sFurLo SS DFyoisoJrtH Fomid torseomtuD oeuyDtuJusrFuisousoFU omtuJrtaoJrtH Fo n h...DrmuFrLoitoF DUsuDrLo .m tFuy odU soDiJmrt eoFios doDrtoe rL tyh kUuL oJrsaorFFtuObF yoiSoby eoebtrOL oJrtH FyYousDLbeusNoFU oby eoDrtoJrtH FYo yFuLLo .uyFoFieraYoFU ousF ts Foy JyoFioUrM oO NbsoFioDUrsN oFU oJrtH FoLrseyDrm hooAuF yo ybDUoryodddh Brah...

Fumasi, Roland J

2013-07-22T23:59:59.000Z

163

EIA - Natural Gas Price Data & Analysis  

Gasoline and Diesel Fuel Update (EIA)

Prices Prices Prices U.S. and State prices for wellhead, imports, exports, citygate, and end-use sectors. Percentages of total volume delivered by sector. (monthly, annual). Residential and Commercial Prices by Local Distributors and Marketers Average price of natural gas delivered to residential and commercial consumers by local distribution companies and marketers, and the percent sold by local distribution companies in selected states and DC (annual). Spot and Futures Prices Henry Hub natural gas spot price and New York Mercantile Exchange futures contract prices for natural gas based on delivery at the Henry Hub in Louisiana (daily, weekly, monthly, annual). Natural Gas Weekly Update Analysis of current price, supply, and storage data; and a weather snapshot.

164

The impact of market structure on price determination : a simulation approach using multi-agent reinforcement learning in continuous state and action space  

E-Print Network [OSTI]

This thesis proposes a simulation tool to study the question of how market structure and market players' behavior affect price movements. The adaptive market simulation system consists of multiple agents and a centralized ...

Shu, Buliao

2014-01-01T23:59:59.000Z

165

Oil and stock market activity when prices go up and down: the case of the oil and gas industry  

Science Journals Connector (OSTI)

We examine the asymmetric effects of daily oil price changes on equity returns, market betas, oil betas, return variances, and trading volumes for the US oil and gas industry. The responses of stock returns assoc...

Sunil K. Mohanty; Aigbe Akhigbe…

2013-08-01T23:59:59.000Z

166

Cheese Prices  

E-Print Network [OSTI]

Cheese prices are derived from the USDA Agricultural Marketing Service Market News, the National Agricultural Statistics Service, and the Chicago Mercantile Exchange. This publication explains the process of cheese pricing. It includes information...

Schwart Jr., Robert B.; Anderson, David P.; Knutson, Ronald D.

2003-08-25T23:59:59.000Z

167

Export markets gain strength  

SciTech Connect (OSTI)

The prices for internally traded coal in the USA have reached record levels and the future market fundamentals look very good. This is mainly due to Asian demand. The article discusses recent markets for US coal and summarizes findings of a recent study by Hill & Associates entitled 'International coal trade - supply, demand and prices to 2025'. 1 ref., 2 tabs.

Fiscor, S.

2008-02-15T23:59:59.000Z

168

Markets & Finance - U.S. Energy Information Administration (EIA)  

U.S. Energy Information Administration (EIA) Indexed Site

Markets & Finance Markets & Finance Glossary › FAQS › Overview Data Market Prices and Uncertainty Charts Archive Analysis & Projections Most Requested Electricity Financial Markets Financial Reporting System Working Papers Market Prices and Uncertainty Report What Drives Crude Oil Prices All Reports Don't miss: EIA's monthly Market Prices and Uncertainty Report or What Drives Crude Oil Prices? (an analysis of 7 key factors that may influence oil prices, physical market factorsand factors related to trading and financial markets). Crude oil price volatility and uncertainty› Evolution of WTI futures Source: U.S. Energy Information Administration, Short-Term Energy Outlook, Market Prices and Uncertainty Report. Heating oil price volatility and uncertainty› RBOB and Heating oil implied volatility

169

A Model of the Oil Prices' Return Rate Threshold for the Two Stock Market Returns: An Evidence Study of the U.S. and Canada's Stock Markets  

Science Journals Connector (OSTI)

The empirical results show that the dynamic conditional correlation (DCC) and the bivariate asymmetric-IGARCH (1, 1) model is appropriate in evaluating the relationship of the U.S. and the Canada’s stock markets. The empirical result also indicates ... Keywords: Stock market returns, oil price, asymmetric effect, GJR-GARCH model, bivariate asymmetric-GARCH model

Wann-Jyi Horng; Ju-Lan Tsai; Yung-Chin Chiu

2009-11-01T23:59:59.000Z

170

A new comprehensive model to simulate the restructured power market for seasonal price signals by considering on the wind resources  

Science Journals Connector (OSTI)

Generation expansion planning requires simulating the medium term power market. This can be done based on electricity price signals in the power market. The market clearing price is one of the most important factors to determine the incremental rate of private investor's profit. When calculating this parameter the planners encounter greater uncertainties in a restructured power market than in a centralized market. This can be critical when renewable energies participate in this type of electricity market. In this study the scenario based method is used to model a wind power plant in the restructured power market. The hourly output of the wind turbine generators is simulated based on a hybrid Auto Regressive and Moving Average-Monte Carlo method. Each scenario of the wind power plant as well as its occurrence probability is determined based on a data mining technique. Then a new comprehensive model for the restructured power market is proposed to maximize the profit of investors as well as to determine the market clearing price by considering stochastic and rational uncertainties. The stochastic uncertainties include the demand and fuel price that are modelled by using the Monte-Carlo method. The Nash equilibrium in the rational uncertainty as a strategic behaviour of players in the power market is determined by using the Cournot game. The effect of the CO2 tax rate and the bilateral contract are investigated in this study. Finally the model is implemented in a test power market. According to the findings this model can be used as a robust and comprehensive model to determine the market clearing price which can be applied for capacity expansion planning.

2014-01-01T23:59:59.000Z

171

The price fluctuations of the stock market display fascinating properties. The volatility is around one order of magnitude too large than what is predicted  

E-Print Network [OSTI]

Abstract The price fluctuations of the stock market display fascinating properties. The volatility decisions. We also study the price formation and the microstructure of financial markets, at the level of the order book which organizes transactions. We explain why the price is diffusive despite the fact

Paris-Sud XI, Université de

172

The market value of variable renewables: The effect of solar wind power variability on their relative price  

Science Journals Connector (OSTI)

Abstract This paper provides a comprehensive discussion of the market value of variable renewable energy (VRE). The inherent variability of wind speeds and solar radiation affects the price that VRE generators receive on the market (market value). During windy and sunny times the additional electricity supply reduces the prices. Because the drop is larger with more installed capacity, the market value of VRE falls with higher penetration rate. This study aims to develop a better understanding on how the market value with penetration, and how policies and prices affect the market value. Quantitative evidence is derived from a review of published studies, regression analysis of market data, and the calibrated model of the European electricity market EMMA. We find the value of wind power to fall from 110% of the average power price to 50–80% as wind penetration increases from zero to 30% of total electricity consumption. For solar power, similarly low value levels are reached already at 15% penetration. Hence, competitive large-scale renewable deployment will be more difficult to accomplish than as many anticipate.

Lion Hirth

2013-01-01T23:59:59.000Z

173

On the Allocative Efficiency of Competitive Prices in Economies with Incomplete Markets  

E-Print Network [OSTI]

Radner-GEI economy (an economy with incomplete markets and sequential trade), defines Allais-Malinvaud efficiency, and shows the Allais- Malinvaud efficiency of every equilibrium in a Radner-GEI economy. Section 5 defines a 6 Radner-GEI economy in which... for commodities in that subset alone, and not for commodities in the other subset.6 Prices for commodities in one subset cannot allocate commodities in the other subset, because they cannot reflect relative value of those commodities, so a more relevant measure...

Sabarwal, Tarun

2003-09-01T23:59:59.000Z

174

Microsoft Word - Documentation - Price Forecast Uncertainty.doc  

U.S. Energy Information Administration (EIA) Indexed Site

October 2009 October 2009 1 October 2009 Short-Term Energy Outlook Supplement: Energy Price Volatility and Forecast Uncertainty 1 Summary It is often noted that energy prices are quite volatile, reflecting market participants' adjustments to new information from physical energy markets and/or markets in energy- related financial derivatives. Price volatility is an indication of the level of uncertainty, or risk, in the market. This paper describes how markets price risk and how the market- clearing process for risk transfer can be used to generate "price bands" around observed futures prices for crude oil, natural gas, and other commodities. These bands provide a quantitative measure of uncertainty regarding the range in which markets expect prices to

175

The Distributional and Environmental Effects of Time-Varying Prices in Competitive Electricity Markets  

E-Print Network [OSTI]

2 permits, and NOx permits. Coal prices are assumed constantfalling average price is stronger, and coal-?red operatinghourly supply (price > $30) Load Coal Oil Gas Panel C:

Holland, Stephen P.; MANSUR, ERIN T

2005-01-01T23:59:59.000Z

176

U.S. Residential Photovoltaic (PV) System Prices, Q4 2013 Benchmarks: Cash Purchase, Fair Market Value, and Prepaid Lease Transaction Prices  

SciTech Connect (OSTI)

The price of photovoltaic (PV) systems in the United States (i.e., the cost to the system owner) has dropped precipitously in recent years, led by substantial reductions in global PV module prices. This report provides a Q4 2013 update for residential PV systems, based on an objective methodology that closely approximates the book value of a PV system. Several cases are benchmarked to represent common variation in business models, labor rates, and module choice. We estimate a weighted-average cash purchase price of $3.29/W for modeled standard-efficiency, polycrystalline-silicon residential PV systems installed in the United States. This is a 46% decline from the 2013-dollar-adjusted price reported in the Q4 2010 benchmark report. In addition, this report frames the cash purchase price in the context of key price metrics relevant to the continually evolving landscape of third-party-owned PV systems by benchmarking the minimum sustainable lease price and the fair market value of residential PV systems.

Davidson, C.; James, T. L.; Margolis, R.; Fu, R.; Feldman, D.

2014-10-01T23:59:59.000Z

177

FT-IR spectroscopy technology, market evolution and future strategies of Bruker Optics Inc.  

E-Print Network [OSTI]

This thesis explores the technology and market evolution of FT-IR spectroscopy over its nearly forty year history to aid in determining future product design and marketing strategies for an industry-leading firm, Bruker ...

Higdon, Thomas (Thomas Charles)

2010-01-01T23:59:59.000Z

178

Volatility spillover effect of emerging markets and economic growth versus oil price volatility : the case of the Gulf Co-operation Council countries.  

E-Print Network [OSTI]

??The relationship between stock markets returns, economic growth and oil price volatility has been an issue of considerable debate. While there are many studies showing… (more)

Fayyad, Abdallah

2013-01-01T23:59:59.000Z

179

Using futures prices to filter short-term volatility and recover a latent, long-term price series for oil  

E-Print Network [OSTI]

Oil prices are very volatile. But much of this volatility seems to reflect short-term,transitory factors that may have little or no influence on the price in the long run. Many major investment decisions should be guided ...

Herce, Miguel Angel

2006-01-01T23:59:59.000Z

180

Estimating Large-Customer Demand Response Market Potential: Integrating Price and Customer Behavior  

E-Print Network [OSTI]

of price response (price elasticity of demand, substitutionprice elasticity of demand was used to characterize customer response,

Goldman, Charles; Hopper, Nicole; Bharvirkar, Ranjit; Neenan, Bernie; Cappers, Peter

2007-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "futures market prices" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


181

The application of prediction markets to business  

E-Print Network [OSTI]

According to financial theory, open markets efficiently and effectively aggregate all available information about future events into their prices. Recent empirical evidence has shown that speculative markets, from gambling ...

Schrieber, Jared M. (Jared Martin), 1976-

2004-01-01T23:59:59.000Z

182

No-Arbitrage Pricing for Dividend-Paying Securities in Discrete-Time Markets with Transaction Costs  

E-Print Network [OSTI]

We prove a version of First Fundamental Theorem of Asset Pricing under transaction costs for discrete-time markets with dividend-paying securities. Specifically, we show that the no-arbitrage condition under the efficient friction assumption is equivalent to the existence of a risk-neutral measure. We derive dual representations for the superhedging ask and subhedging bid price processes of a derivative contract. Our results are illustrated with a vanilla credit default swap contract.

Bielecki, Tomasz R; Rodriguez, Rodrigo

2012-01-01T23:59:59.000Z

183

Are unleaded gasoline and diesel price adjustments symmetric? A comparison of the four largest EU retail fuel markets  

Science Journals Connector (OSTI)

Abstract The purpose of this paper is to examine the nature of price adjustments in the gasoline markets of Germany, France, Italy and Spain. We examine whether crude oil prices are transmitted to the retail gasoline prices in the short and long run and we test the symmetry of price adjustments hypothesis. An Error Correction Model, which accounts for possible asymmetric adjustment behavior, is applied for the estimation of the international crude oil price pass-through and testing of the symmetric/asymmetric nature of the retail fuel price adjustments in these economies. Our results show that rigidities in the transmission process exist but the retail fuel speed of upward/downward price adjustment to equilibrium is considered as symmetric in all four economies analyzed. Thus, our findings on the whole do not provide firm evidence to support the “rockets and feathers” hypothesis that crude oil price increases are passed along to the retail customer more fully than the crude oil price decreases.

Stelios Karagiannis; Yannis Panagopoulos; Prodromos Vlamis

2014-01-01T23:59:59.000Z

184

Improved one day-ahead price forecasting using combined time series and artificial neural network models for the electricity market  

Science Journals Connector (OSTI)

The price forecasts embody crucial information for generators when planning bidding strategies to maximise profits. Therefore, generation companies need accurate price forecasting tools. Comparison of neural network and auto regressive integrated moving average (ARIMA) models to forecast commodity prices in previous researches showed that the artificial neural network (ANN) forecasts were considerably more accurate than traditional ARIMA models. This paper provides an accurate and efficient tool for short-term price forecasting based on the combination of ANN and ARIMA. Firstly, input variables for ANN are determined by time series analysis. This model relates the current prices to the values of past prices. Secondly, ANN is used for one day-ahead price forecasting. A three-layered feed-forward neural network algorithm is used for forecasting next-day electricity prices. The ANN model is then trained and tested using data from electricity market of Iran. According to previous studies, in the case of neural networks and ARIMA models, historical demand data do not significantly improve predictions. The results show that the combined ANNâ??ARIMA forecasts prices with high accuracy for short-term periods. Also, it is shown that policy-making strategies would be enhanced due to increased precision and reliability.

Ali Azadeh; Seyed Farid Ghaderi; Behnaz Pourvalikhan Nokhandan; Shima Nassiri

2011-01-01T23:59:59.000Z

185

The bridge across is better known as Marketing. The process of turning your ideas into products, finding the right price for the product, getting it  

E-Print Network [OSTI]

The bridge across is better known as Marketing. The process of turning your ideas into products, finding the right price for the product, getting it to the market, and communicating your product's benefits to your customers ­ that is Marketing. At its core, marketing is about giving the customer what

Habib, Ayman

186

1 18 May 2003 Ris International Energy Conference Analysis of a future liberalised Lithuanian/Baltic Electricity  

E-Print Network [OSTI]

/Baltic Electricity market Analysis of a future liberalised Lithuanian/Baltic Electricity market Risø International · Model used for the analyses · Results of analyses ­ Production patterns ­ Market prices on electricity of analyses ­ Production patterns ­ Market prices on electricity ­ Future situation for power plants ­ Welfare

187

Price regulation for waste hauling franchises in California: an examination of how regulators regulate pricing and the effects of competition on regulated markets  

E-Print Network [OSTI]

Thomadakis, Stavros. “Price Regulation Under Uncertainty in698. Bös, Dieter. Pricing and Price Regulation. Elsevier.Optimal Structure of Public Prices. ” The American Economic

Seltzer, Steven A.

2011-01-01T23:59:59.000Z

188

The Impact of Variable Market Price on Optimal Control of Wind-Hydro Storage System in Kenya  

Science Journals Connector (OSTI)

The Lake Turkana Wind Power Project (LTWP) in Northern Kenya is currently under development, scheduled to bring 300MW of wind generation online by the end of 2016. The economic issues raised by the structure of the Kenyan electricity market include a ... Keywords: Wind Power, Developing Countries, Electricity Pricing

Maureen Murage; Judith B. Cardell; June Lukuyu; C. Lindsay Anderson

2014-01-01T23:59:59.000Z

189

World Food Crisis: Imperfect Markets Starving Development, A Decomposition of Recent Food Price Increases.  

E-Print Network [OSTI]

??The recent decade has experienced two rather substantial food price spikes. This thesis sets out to provide an in-depth look at the recent food price… (more)

Costello, Christine

2011-01-01T23:59:59.000Z

190

10/02/2007 07:40 PMStock market news and prices Page 1 of 3http://markets.chron.com/chron?ChannelID=3206&GUID=3074055&Page=MediaViewer  

E-Print Network [OSTI]

10/02/2007 07:40 PMStock market news and prices Page 1 of 3http 2747.11 S&P 500 1546.63 OIL 45.50 Presence Of Essential Molecule In Space Could Support Life On Other & Public Notices #12;10/02/2007 07:40 PMStock market news and prices Page 2 of 3http

Glaser, Rainer

191

Effect of Oil Price Volatility on Tunisian Stock Market at Sector-level and Effectiveness of Hedging Strategy  

Science Journals Connector (OSTI)

Abstract In this work, our objective is to study in a first step links and interaction between oil and stock markets in Tunisia in terms of volatility at the sector-level, and then in a second step to determine the best hedging strategy for oil-stock portfolio against the risk of negative variation in stock market prices. Our methodology consist to model the data by a bivariate GARCH model to capture the effect in terms of volatility in the variation of the oil price on the different sector index, and to use the conditional variances and conditional correlation to calculate the hedging ratio and determinate the best hedging strategy. The empirical results indicate that the majority of relationships are unidirectional from the oil market to Tunisian stock market, and the conditional variance of a stock sector returns is affected not only by the volatility surprises of the stock market, but also by those of oil market. The model GARCH-BEKK is more effective than the others versions to minimize the risk of oil-stock portfolio.

Wajdi Hamma; Anis Jarboui; Ahmed Ghorbel

2014-01-01T23:59:59.000Z

192

2010 Fuel Cell Technologies Market Report, June 2011  

SciTech Connect (OSTI)

This report summarizes 2010 data on fuel cells, including market penetration and industry trends. It also covers cost, price, and performance trends, along with policy and market drivers and the future outlook for fuel cells.

Not Available

2011-06-01T23:59:59.000Z

193

10.1177/0092070304267108 ARTICLEJOURNAL OF THE ACADEMY OF MARKETING SCIENCE WINTER 2005Fibich et al. / PRICE ELASTICITY OF DEMAND The Dynamics of Price Elasticity  

E-Print Network [OSTI]

. / PRICE ELASTICITY OF DEMAND The Dynamics of Price Elasticity of Demand in the Presence of Reference Price derive an expression for the price elasticity of demand in the presence of reference price effects. The effectof reference price is most noticeable immediately after a price change, before consumers have had

Fibich, Gadi

194

Electricity price forecasting in a grid environment.  

E-Print Network [OSTI]

??Accurate electricity price forecasting is critical to market participants in wholesale electricity markets. Market participants rely on price forecasts to decide their bidding strategies, allocate… (more)

Li, Guang, 1974-

2007-01-01T23:59:59.000Z

195

OIL AND NATURAL GAS PRICES: TOGETHER AGAIN? 1 Prakash Loungani (International Monetary Fund)  

E-Print Network [OSTI]

Crude oil and natural gas are important energy sources. Their prices in the U.S. are volatile and nominal rigidity does not play an important role. In addition, the law of one price between German and the U.S. markets holds quite well in the sense that the relative price exhibits stationarity. However, the natural gas prices in the two markets have diverged recently. We show that this is due to structural changes in the U.S. natural gas market rather than long term based contract prices in Germany. Nonetheless we conjecture future recovery of the law of one price.

Akito Matsumoto (international Monetary Fund

196

Prospecting the Future for Hydrogen Fuel Cell Vehicle Markets  

E-Print Network [OSTI]

as those for hydrogen and fuel cell vehicles (FCVs). 1 Wein the market if hydrogen and fuel cells are the best energypaper we argue that hydrogen and fuel cells will effectively

Kurani, Kenneth S.; Turrentine, Thomas S.; Heffner, Reid R.; Congleton, Christopher

2003-01-01T23:59:59.000Z

197

Customer Strategies for Responding to Day-Ahead Market Hourly Electricity Pricing  

E-Print Network [OSTI]

Thus, input demands and price response elasticities can beelasticity is a very specific characterization of electricity demand and price responseprice elasticity, which measures the reduction in demand in response

2005-01-01T23:59:59.000Z

198

Competition and price asymmetries in the Greek oil sector: an empirical analysis on gasoline market  

Science Journals Connector (OSTI)

This article attempts to investigate the issue of asymmetries in the transmission of shocks to input prices and exchange rate onto the wholesale and retail price of gasoline respectively. For this purpose, we ...

Michael L. Polemis

2012-10-01T23:59:59.000Z

199

A SURVEY OF COMMODITY MARKETS AND STRUCTURAL MODELS FOR ELECTRICITY PRICES  

E-Print Network [OSTI]

focus on the important role of other energy prices and fundamental factors in setting the power price sources, the main production process remains the conversion of fossil fuels like coal, gas and oil. Since

Carmona, Rene

200

A MODEL FOR HEDGING LOAD AND PRICE RISK IN THE TEXAS ELECTRICITY MARKET  

E-Print Network [OSTI]

results. In particular, we include as state variables the key factors which drive electricity prices, such as fuel price (natural gas in particular), load itself, and a proxy for capacity available. We express stochastic factors including the load process, our power price model allows for the calculation of closed

Powell, Warren B.

Note: This page contains sample records for the topic "futures market prices" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


201

The Effect Of Technology on Energy Pricing In A Competitive Energy Market  

Science Journals Connector (OSTI)

Three types of market power threaten effective electric competition: vertical, horizontal and the cartel-like market power of a group of market participants, generators, imposed on another group, ... to a wealth ...

Chris King

2000-01-01T23:59:59.000Z

202

Research on patterns in the fluctuation of the co-movement between crude oil futures and spot prices: A complex network approach  

Science Journals Connector (OSTI)

Abstract The price of crude oil is fluctuating. Researchers focus on the fluctuation of crude oil prices or relationship between crude oil futures and spot prices. However, the relationship also presents fluctuation which draws our attention. This paper designed a complex network approach for examining the dynamics of the co-movement between crude oil futures and spot prices. We defined the co-movement modes by a coarse-graining procedure and analyzed the transformation characteristics between the modes by weighted complex network models and evolutionary models. We analyzed the parameters of these models by using the West Texas Intermediate crude oil future prices and the Daqing (China) crude oil spot prices from November 25, 2002 to March 22, 2011 as sample data. The results indicate that the co-movement modes of the crude oil futures and spot prices are clustered around a few critical modes during the evolution. The co-movement of the crude oil prices has the characteristic of grouping, and the conversion of the co-movement modes requires an average of 5–7 days. There are some important transitional phases in the evolution of prices, and the results validate the current trend of rising oil prices. This research may provide information for the oil price decision-making process, and more importantly, provides a new approach for examining the co-movement between variables.

Haizhong An; Xiangyun Gao; Wei Fang; Yinghui Ding; Weiqiong Zhong

2014-01-01T23:59:59.000Z

203

Hey, NSA: Stay Away from my Market! Future Proofing App Markets against Powerful Attackers  

Science Journals Connector (OSTI)

Mobile devices are evolving as the dominant computing platform and consequently application repositories and app markets are becoming the prevalent paradigm for deploying software. Due to their central and trusted position in the software ecosystem, ... Keywords: android, apps, market, nsa, security, transparency

Sascha Fahl, Sergej Dechand, Henning Perl, Felix Fischer, Jaromir Smrcek, Matthew Smith

2014-11-01T23:59:59.000Z

204

Estimating the effect of future oil prices on petroleum engineering project investment yardsticks.  

E-Print Network [OSTI]

did not reflect the true volatility in crude oil prices. The name posted oil price was derived from a sheet that was posted in a producing field. The WTI price data were collected from Energy Information Administration (EIA) website25. EIA... projects; we correlated historical expenses data with oil price. Figs. 3.3 and 3.4 are graphs of the production and drilling costs correlations with oil price. The historical oilfield drilling and production data was taken from EIA website and the Energy...

Mendjoge, Ashish V

2004-09-30T23:59:59.000Z

205

The level crossing analysis of German stock market index (DAX) and daily oil price time series  

E-Print Network [OSTI]

The level crossing analysis of DAX and oil price time series are given. We determine the average frequency of positive-slope crossings, $\

Shayeganfar, F; Peinke, J; Tabar, M Reza Rahimi

2010-01-01T23:59:59.000Z

206

Optimal Capacity Investment, and Pricing Across International Markets Under Exchange Rate Uncertainty and Duopoly Competition.  

E-Print Network [OSTI]

??In this dissertation we investigate joint optimal capacity investment, pricing and production decisions for a multinational manufacturer who faces exchange rate uncertainties. We consider a… (more)

Ahmed, Anas A.

2010-01-01T23:59:59.000Z

207

Testing for price response asymmetries in the Spanish fuel market. New evidence from daily data  

Science Journals Connector (OSTI)

In this work we use daily data to examine pattern asymmetries in the speed of transmission of international wholesale oil prices to Spanish retail fuel prices. Results are robust to two alternative specifications of an asymmetric error correction model, for which the presence of autoregressive conditional heteroskedasticity for disturbances is modeled by a GARCH(1,1) process. Evidence indicates that the short-term transmission of wholesale prices to retail prices is quite symmetric for both gasoline and diesel fuel. Nevertheless, in contrast to some of the results provided for an earlier period, we did not find asymmetries in the speed of retail price responses toward long-run equilibrium. Our evidence also suggests that the use of weekly (or lower frequency) data is one of the possible explanations for some of the seemingly contradictory results concerning this issue.

Jacint Balaguer; Jordi Ripollés

2012-01-01T23:59:59.000Z

208

Markets & Finance - Data - U.S. Energy Information Administration (EIA)  

Gasoline and Diesel Fuel Update (EIA)

Market Prices and Uncertainty Report Charts Market Prices and Uncertainty Report Charts Selected Charts Figure 1: Historical crude oil front month futures prices Figure 6: Probability of the November 2012 WTI contract expiring above different price levels Figure 7: Historical RBOB futures prices and crack spreads Figure 9: Probability of November 2012 retail gasoline exceeding different prices levels at expiration Figure 13: Historical front month U.S. natural gas prices Figure 15: Probability of the November 2012 Henry Hub contract expiring above price levels West Texas Intermediate (WTI) Crude Oil Price Confidence Intervals XLS West Texas Intermediate (WTI) Crude Oil Price Probabilities XLS Henry Hub Natural Gas Prices and Confidence Intervals XLS Henry Hub Natural Gas Price Probabilities XLS

209

Monthly house price indices and their applications in New Zealand : a thesis presented in fulfilment of the requirements for the degree of Doctor of Philosophy, Department of Economics and Finance, College of Business, Massey University.  

E-Print Network [OSTI]

??Developing timely and reliable house price indices is of interest worldwide, because these measures influence consumer behaviour, inflation targeting, and spot and futures markets. Several… (more)

Shi, Song

2009-01-01T23:59:59.000Z

210

Multi-objective Optimization for Pricing System Security in Electricity Markets  

E-Print Network [OSTI]

or hybrid markets, how to properly include system security is still an open question. This paper mainly focuses on hybrid markets and on the inclusion of proper security constraints through the use of a multi

Cañizares, Claudio A.

211

The relationship between oil prices and the Nigerian stock market. An analysis based on fractional integration and cointegration  

Science Journals Connector (OSTI)

Abstract We examine the relationship between oil prices and the stock market in Nigeria. We focus on the degree of persistence of the series, and based on the similarities observed between the two series, a fractionally cointegrated framework is proposed. The results indicate that the two series display a similar order of integration, which is close to, although above 1. Testing for cointegration, this is decisively rejected since the order of integration in the equilibrium relationship was similar to that of the individual series. However, testing for long memory with oil prices acting as a weakly exogenous regressor, we obtained significant evidence of a positive relationship between the two variables though with a short memory effect, this relation being significant only during the following three months.

Luis A. Gil-Alana; OlaOluwa S. Yaya

2014-01-01T23:59:59.000Z

212

Influence of oil prices on stock market indexes in Russia and Norway  

Science Journals Connector (OSTI)

The effects of oil price dynamics on share quotations are discussed in ... paper for the 2000–2012 period for two oil exporting countries—Russia and Norway. It has ... , that, in spite of intuitive expectations,

I. A. Kopytin

2014-01-01T23:59:59.000Z

213

A Linear Time Algorithm for Pricing European Sequential Barrier Peng Gao Ron van der Meyden  

E-Print Network [OSTI]

option contract states an agreed price for a crude oil transaction 3 months in the future of the date depends on the current crude oil market price and expectations concerning price movements. Although period. Option con- tracts are one simple kind of financial derivative. For example, a 3-month crude oil

van der Meyden, Ron

214

Big questions cloud Iraq's future role in world oil market  

SciTech Connect (OSTI)

This paper reports that Iraq raises questions for the world oil market beyond those frequently asked about when and under what circumstances it will resume exports. Two wars since 1981 have obscured encouraging results from a 20 year exploration program that were only beginning to come to light when Iraq invaded Kuwait in August 1990. Those results indicate the country might someday be able to produce much more than the 3.2 million b/d it was flowing before a United Nations embargo blocked exports. If exploratory potential is anywhere near what officials asserted in the late 1980s, and if Iraq eventually turns hospitable to international capital, the country could become a world class opportunity for oil companies as well as an exporter with productive capacity approaching that of Saudi Arabia. But political conditions can change quickly. Under a new, secular regime, Iraq might welcome non-Iraqi oil companies and capital as essential to economic recovery. It's a prospect that warrants a new industry look at what the country has revealed about its geology and exploration history.

Tippee, B.

1992-03-09T23:59:59.000Z

215

CONSUMER PERCEPTIONS OF GREEN CAUSE-RELATED MARKETING (CRM) PRICE FAIRNESS.  

E-Print Network [OSTI]

??Many firms employ Cause-Related Marketing (CRM) strategies that link product sales to the support of a charity to generate positive brand images. The global objective… (more)

Kim, Eun Kyoo

2011-01-01T23:59:59.000Z

216

Estimating Large-Customer Demand Response Market Potential: Integrating Price and Customer Behavior  

E-Print Network [OSTI]

Estimating Large-Customer Demand Response Market Potential:Syracuse, NY ABSTRACT Demand response (DR) is increasinglyestimated. Introduction Demand response (DR) is increasingly

Goldman, Charles; Hopper, Nicole; Bharvirkar, Ranjit; Neenan, Bernie; Cappers, Peter

2007-01-01T23:59:59.000Z

217

How psychological framing affects economic market prices in the lab and field  

Science Journals Connector (OSTI)

...Markets on political events were...association between risk taking and judgment...hypothetical insurance policies...prediction such as political polls, there...value-at-risk quantile. Deviations...experimental political stock market...distortions, and insurance decisions . J Risk Uncertain 7...

Ulrich Sonnemann; Colin F. Camerer; Craig R. Fox; Thomas Langer

2013-01-01T23:59:59.000Z

218

ZONAL PRICING AND DEMAND-SIDE BIDDING IN THE NORWEGIAN ELECTRICITY MARKET  

E-Print Network [OSTI]

of the Program on Workable Energy Regulation (POWER). POWER is a program of the University of California Energy. University of California Energy Institute 2539 Channing Way Berkeley, California 94720-5180 www-ahead electricity market in Norway. We consider the hypothesis that generators are better able to exercise market

California at Berkeley. University of

219

Microsoft Word - Price Uncertainty Supplement.doc  

Gasoline and Diesel Fuel Update (EIA)

May 2010 May 2010 Short-Term Energy Outlook Energy Price Volatility and Forecast Uncertainty 1 May 11, 2010 Release Crude Oil Prices. WTI crude oil spot prices averaged $84 per barrel in April 2010, about $3 per barrel above the prior month's average and $2 per barrel higher than forecast in last month's Outlook. EIA projects WTI prices will average about $84 per barrel over the second half of this year and rise to $87 by the end of next year, an increase of about $2 per barrel from the previous Outlook (West Texas Intermediate Crude Oil Price Chart). Energy price forecasts are highly uncertain, as history has shown. Prices for near-term futures options contracts suggest that the market attaches

220

Microsoft Word - Price Uncertainty Supplement.doc  

Gasoline and Diesel Fuel Update (EIA)

0 0 1 June 2010 Short-Term Energy Outlook Energy Price Volatility and Forecast Uncertainty 1 June 8, 2010 Release Crude Oil Prices. WTI crude oil spot prices averaged less than $74 per barrel in May 2010, almost $11 per barrel below the prior month's average and $7 per barrel lower than forecast in last month's Outlook. EIA projects WTI prices will average about $79 per barrel over the second half of this year and rise to $84 by the end of next year, a decrease of about $3 per barrel from the previous Outlook (West Texas Intermediate Crude Oil Price Chart). Energy price forecasts are highly uncertain, as history has shown. Prices for near-term futures options contracts suggest that the market attaches

Note: This page contains sample records for the topic "futures market prices" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


221

Three Essays on Price Dynamics and Causations among Energy Markets and Macroeconomic Information  

E-Print Network [OSTI]

of within-sample-fit. The result supports innovation accounting analysis based on DAGs using residuals of out-of-sample-forecast. Second, we look at the effects of the federal fund rate and/or WTI crude oil price shock on US macroeconomic and financial...

Hong, Sung Wook 1977-

2012-09-20T23:59:59.000Z

222

Using market-based dispatching with environmental price signals to reduce emissions and  

Science Journals Connector (OSTI)

The possibility of using electricity dispatching strategies to achieve a 50% nitrogen oxide (NOx) emission reduction from electricity generating units was examined using the grid of the Electricity Reliability Council of Texas as a case study. Simulations of a hypothetical policy demonstrate that imposing higher NOx prices induces a switch from some coal-fired generation to natural gas generation, lowering NOx emissions. The simulation is for a day with relatively high electricity demand and accounts for transmission constraints. In addition to the lowering of the NOx emissions, there are co-benefits of the redispatching of generation from coal to natural gas, including reductions in the emissions of sulfur oxides (24%–71%), Hg (16%–82%) and CO2 (8.8%–22%). Water consumption was also decreased, by 4.4%–8.7%. Substantial reductions of NOx emissions can be achieved for an increased generation cost of 4–13%, which is due to the higher fuel price of gas relative to coal (assuming a price of $3.87 per MMBTU (MMBTU: million British thermal units) for natural gas, and $1.89 per MMBTU for coal). However, once the system has reduced NOx emissions by approximately 50%, there is little incremental reduction in emissions due to further increases in NOx prices.

Nawaf S Alhajeri; Pearl Donohoo; Ashlynn S Stillwell; Carey W King; Mort D Webster; Michael E Webber; David T Allen

2011-01-01T23:59:59.000Z

223

Modelling locational price spreads in competitive electricity markets; applications for transmission rights valuation and replication  

Science Journals Connector (OSTI)

......to recover the fixed cost of investing in the line...Finally, the nature of the production and consumption of electricity...price of fuel (oil, gas, and coal) is a major...component in determining the cost of production, and thus naturally......

Petter Skantze; Marija Ilic; Andrej Gubina

2004-10-01T23:59:59.000Z

224

The European carbon market (2005-2007): banking, pricing and risk-hedging strategies  

E-Print Network [OSTI]

. Keywords: Climate Change Policy; Emissions Trading; EU ETS; European carbon market; Banking Borrowing2010 #12;2 1 Introduction The European Union Emissions Trading Scheme (EU ETS) has been created

Paris-Sud XI, Université de

225

An assessment of oil supply and its implications for future prices  

Science Journals Connector (OSTI)

This paper examines three issues related to both the U.S. and world oil supply: (1) the nature of the ... be the primary source of U.S. oil imports; and (3) the cyclic behavior of oil prices. it shows that U.S. p...

Danilo J. Santini

1998-06-01T23:59:59.000Z

226

Effect of Market Price Uncertainties on the Design of Optimal Biorefinery Systems—A Systematic Approach  

Science Journals Connector (OSTI)

King, D., Hagan, A., Löffler, K., Gillman, N., Weihe, U., and Oertel, S. The Future of Industrial Biorefineries; World Economic Forum: Geneva, 2010; REF: 210610. ...

Peam Cheali; Alberto Quaglia; Krist V. Gernaey; Gürkan Sin

2014-03-10T23:59:59.000Z

227

Petroleum Marketing Monthly  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Crude oil prices U.S. Energy Information Administration | Petroleum Marketing Monthly 3 December 2014...

228

Developing a Marketing Plan  

E-Print Network [OSTI]

Developing a good marketing plan will help you identify and quantify costs, set price goals, determine potential price outlook, examine production and price risk, and develop a strategy for marketing your crop. This publication describes...

Bevers, Stan; Waller, Mark L.; Amosson, Stephen H.; McCorkle, Dean

2009-03-02T23:59:59.000Z

229

Market efficiency and the long-memory of supply and demand: Is price impact variable and permanent or fixed and temporary?  

E-Print Network [OSTI]

Market efficiency and the long-memory of supply and demand: Is price impact variable and permanent vs. seller initiated transactions. For example, during a period where there is an excess of buyer initiated transactions, there is also more liquidity for buy orders than sell orders, so that buy orders

230

Finite utility on financial markets with asymmetric information and structure properties of the price  

E-Print Network [OSTI]

Finite utility on financial markets with asymmetric information and structure properties utility. We show that whenever an agent's expected utility is finite, S is a semimartingale with a Doob­Meyer de­ composition featuring a martingale part and an information drift. The expected utility gain

Imkeller, Peter

231

Finite utility on financial markets with asymmetric information and structure properties of the price  

E-Print Network [OSTI]

Finite utility on financial markets with asymmetric information and structure properties utility. We show that whenever an agent's expected utility is finite, S is a semimartingale with a Doob-Meyer de- composition featuring a martingale part and an information drift. The expected utility gain

Imkeller, Peter

232

Forecast Prices  

Gasoline and Diesel Fuel Update (EIA)

Notes: Notes: Prices have already recovered from the spike, but are expected to remain elevated over year-ago levels because of the higher crude oil prices. There is a lot of uncertainty in the market as to where crude oil prices will be next winter, but our current forecast has them declining about $2.50 per barrel (6 cents per gallon) from today's levels by next October. U.S. average residential heating oil prices peaked at almost $1.50 as a result of the problems in the Northeast this past winter. The current forecast has them peaking at $1.08 next winter, but we will be revisiting the outlook in more detail next fall and presenting our findings at the annual Winter Fuels Conference. Similarly, diesel prices are also expected to fall. The current outlook projects retail diesel prices dropping about 14 cents per gallon

233

Comparing Price Forecast Accuracy of Natural Gas Models and Futures Markets  

E-Print Network [OSTI]

Hale of the Energy Information Administration for supporting and reviewing this work. Keywords: Natural Gas

Wong-Parodi, Gabrielle; Dale, Larry; Lekov, Alex

2005-01-01T23:59:59.000Z

234

Electricity Bill Savings from Residential Photovoltaic Systems: Sensitivities to Changes in Future Electricity Market Conditions  

E-Print Network [OSTI]

SolarAnywhere. CPUC, 2004. Capacity Markets White Paper (market with no parallel capacity markets. Under this kind ofcombined with a parallel capacity market). Finally, in order

Darghouth, Naim

2014-01-01T23:59:59.000Z

235

Cotton hedging strategies using prices for Texas High Plains and Rio Grande Valley areas  

E-Print Network [OSTI]

as futures prices fall). The technical strategies were designed to be dynamic in nature i. e. , entering and leaving the futures market as conditions dictated. These strategies consisted of different combinations of short and lory moving averages of daily... prices. A four day weighted average in . " 'or was used in conjunction with selected average systems. The results of each hedging strategy were compared with the re- sults of the cash-market-only strategies. The cash strategies were (a) to sell...

Howard, John V

2012-06-07T23:59:59.000Z

236

Stock, Energy and Currency Effects on the Asymmetric Wheat Market  

Science Journals Connector (OSTI)

The purpose of this paper is to explore the effects of financial and currency indicators on wheat futures prices. The results suggest that the stock market, and particularly the S&P 500, positively influence the ...

Nikolaos Sariannidis

2011-05-01T23:59:59.000Z

237

What Is Price Volatility  

Gasoline and Diesel Fuel Update (EIA)

What Is Price Volatility? What Is Price Volatility? The term "price volatility" is used to describe price fluctuations of a commodity. Volatility is measured by the day-to-day percentage difference in the price of the commodity. The degree of variation, not the level of prices, defines a volatile market. Since price is a function of supply and demand, it follows that volatility is a result of the underlying supply and demand characteristics of the market. Therefore, high levels of volatility reflect extraordinary characteristics of supply and/or demand. Prices of basic energy (natural gas, electricity, heating oil) are generally more volatile than prices of other commodities. One reason that energy prices are so volatile is that many consumers are extremely limited in their ability to substitute other fuels when the price, of natural gas

238

Integrating Small Scale Distributed Generation into a Deregulated Market: Control Strategies and Price Feedback  

E-Print Network [OSTI]

Small scale power generating technologies, such as gas turbines, small hydro turbines, photovoltaics, wind turbines and fuel cells, are gradually replacing conventional generating technologies, for various applications, in the electric power system. The industry restructuring process in the United States is exposing the power sector to market forces, which is creating competitive structures for generation and alternative regulatory structures for the transmission and distribution systems. The potentially conflicting economic and technical demands of the new, independent generators introduce a set of significant uncertainties. What balance between market forces and centralized control will be found to coordinate distribution system operations? How will the siting of numerous small scale generators in distribution feeders impact the technical operations and control of the distribution system? Who will provide ancillary services (such as voltage support and spinning reserves) in the new competitive environment? This project investigates both the engineering and market integration of distributed generators into the distribution system. On the technical side, this project investigates the frequency performance of a distribution system that has multiple small scale generators. Using IEEE sample distribution systems and new dynamic generator models, this project develops general methods for

Judith Cardell; Marija Ili?; Richard D. Tabors

1997-01-01T23:59:59.000Z

239

Price Discovery in the Natural Gas Markets of the United States and Canada  

E-Print Network [OSTI]

of stored natural gas. Weather variations have an obvious effect on natural gas prices. According to U.S. Department of Energy (U.S. Department of Energy (U.S.DOE), 2003), natural gas demand during winter months is more than 1.5 times daily winter... Deviation Minimum (Date) Maximum (Date) Henry Huba 4.54 2.71 1.03 (12/04/1998) 19.38 (02/25/2003) Chicago 4.55 2.64 1.23 (12/04/1998) 23.00 (02/02/1996) New York 5.36 3.61 1.34 (12/04/1998) 55.00 (01/14/2004) Malin 4.22 2.97 0.93 (02...

Olsen, Kyle

2011-02-22T23:59:59.000Z

240

Consumer Demand under Price Uncertainty: Empirical Evidence from the Market for Cigarettes  

E-Print Network [OSTI]

NY,t#5;1 #1; di#15;pChi,t#5;1 #1; ei#15;pLA,t#5;1 #1; eit. (9) 13 We observe prices in the BLS data set for a much longer time period than we observe smoking choices in the NELS. Thus our analysis of smoking behavior reported in section IV of this paper...-test for the null hypothesis that ci #2; di #2; ei #2; 0 for the 24 cities that are not New York, Chicago, or Los Angeles. We find that the null hypothesis is rejected for 15 out the 24 cities at 5%. But we can only reject the null at 1% three times. We then pick...

Coppejans, Mark; Gilleskie, Donna; Sieg, Holger; Strumpf, Koleman

2007-08-01T23:59:59.000Z

Note: This page contains sample records for the topic "futures market prices" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


241

A model for hedging load and price risk in the Texas electricity market Michael Coulon , Warren B. Powell, Ronnie Sircar  

E-Print Network [OSTI]

drive electricity prices, such as fuel price (natural gas in particular), load itself, and a proxy by three stochastic factors including the load process, our power price model allows for the calculation for capacity available. We express power spot price as a parametric function of underlying factors, including

Powell, Warren B.

242

The Minimum Price Contract  

E-Print Network [OSTI]

A minimum price contract is one of many tools a marketer may use to better manage price and production risk while trying to achieve financial goals and objectives. This publication discusses the advantages and disadvantages involved...

Waller, Mark L.; Amosson, Stephen H.; Welch, Mark; Dhuyvetter, Kevin C.

2008-10-17T23:59:59.000Z

243

Livestock Seasonal Price Variation  

E-Print Network [OSTI]

Seasonal price movements can be measured and used to help in marketing livestock. This publication includes 10-year seasonal price indexes for several livestock categories, and explains how to interpret and use the information....

Davis, Ernest E.; Sartwelle III, James D.; Mintert, James R.

1999-09-21T23:59:59.000Z

244

Forecasting Using Time Varying Meta-Elliptical Distributions with a Study of Commodity Futures Prices  

E-Print Network [OSTI]

.g. Iraq war), changes in weather conditions (e.g. global warming), the behaviour of commodity prices can be expected to be nonstationary. 2 There has been some statistical study in this area (e.g. Deb et al., 1996, Taylor, 1980), though, research... returns of gas oil, coffee and rice. Figure I 16 Figure I. Time Series Plot. Gas Oil 0 500 1000 1500 2000 2500 3000 -20 -10 0 10 Ga s Oi l Coffee 0 500 1000 1500 2000 2500 3000 -30 -20 -10 0 10 20 Co ffe e 17 Rice 0 500 1000 1500 2000 2500 3000 -20 -10 0...

Sancetta, Alessio; Nikanrova, Arina

2006-03-14T23:59:59.000Z

245

Electricity Bill Savings from Residential Photovoltaic Systems: Sensitivities to Changes in Future Electricity Market Conditions  

E-Print Network [OSTI]

demand response scenario—includes a simulated system- wide price elasticityPrice Elasticity ($/ton) Notes: C = carbon; NG = natural gas; RE = renewable energy; DR = demand response.

Darghouth, Naim

2014-01-01T23:59:59.000Z

246

Four decades of Groningen production and pricing policies and a view to the future  

Science Journals Connector (OSTI)

The 1959-discovered Groningen gasfield's size and low-cost production are unique in Europe. As the monopolistic supplier to Europe's gas markets from 1965, it earned supernormal profits for the Dutch state, Shell and Exxon. A decade later, when alternative suppliers broke the monopoly and Dutch energy policy — anticipating gas scarcity — stimulated the exploitation of smaller fields, Groningen production was constrained. Yet, it remained highly profitable and its large remaining reserves still offered long-term production potential. Now, impending European gasmarket liberalisation is threatening the traditional role of Groningen in the gas supply system. New marketing arrangements are required that secure and enhance the balancing role of the field and its profitable exploitation within the wider European context.

Aad F Correljé; Peter R Odell

2000-01-01T23:59:59.000Z

247

Crude Oil Prices  

Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

Information AdministrationPetroleum Marketing Annual 2001 41 Table 21. Domestic Crude Oil First Purchase Prices (Dollars per Barrel) - Continued Year Month PAD District II...

248

Crude Oil Prices  

U.S. Energy Information Administration (EIA) Indexed Site

Information AdministrationPetroleum Marketing Annual 2002 41 Table 21. Domestic Crude Oil First Purchase Prices (Dollars per Barrel) - Continued Year Month PAD District II...

249

Crude Oil Prices  

Gasoline and Diesel Fuel Update (EIA)

Information AdministrationPetroleum Marketing Annual 2000 41 Table 21. Domestic Crude Oil First Purchase Prices (Dollars per Barrel) - Continued Year Month PAD District II...

250

Crude Oil Prices  

Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

Information AdministrationPetroleum Marketing Annual 1999 41 Table 21. Domestic Crude Oil First Purchase Prices (Dollars per Barrel) - Continued Year Month PAD District II...

251

Crude Oil Prices  

U.S. Energy Information Administration (EIA) Indexed Site

Information AdministrationPetroleum Marketing Annual 1998 41 Table 21. Domestic Crude Oil First Purchase Prices (Dollars per Barrel) - Continued Year Month PAD District II...

252

The future of oil: Geology versus technology  

Science Journals Connector (OSTI)

Abstract We discuss and reconcile the geological and economic/technological views concerning the future of world oil production and prices, and present a nonlinear econometric model of the world oil market that encompasses both views. The model performs far better than existing empirical models in forecasting oil prices and oil output out-of-sample. Its point forecast is for a near doubling of the real price of oil over the coming decade, though the error bands are wide, reflecting sharply differing judgments on the ultimately recoverable reserves, and on future price elasticities of oil demand and supply.

Jaromir Benes; Marcelle Chauvet; Ondra Kamenik; Michael Kumhof; Douglas Laxton; Susanna Mursula; Jack Selody

2015-01-01T23:59:59.000Z

253

Chapter 7. Derivatives markets. Manual for SOA Exam FM/CAS Exam 2.  

E-Print Network [OSTI]

barrels. The current price is $70/barrel. Hence, the current value of a future contract on crude oil. Derivatives markets. Section 7.3. Futures. Let us consider some common futures. Crude oil futures trade parties agree in a future contact for crude oil for delivery in 18 months. The contract is worth $70000

Arcones, Miguel A.

254

Current and future costs for parabolic trough and power tower systems in the US market.  

SciTech Connect (OSTI)

NREL's Solar Advisor Model (SAM) is employed to estimate the current and future costs for parabolic trough and molten salt power towers in the US market. Future troughs are assumed to achieve higher field temperatures via the successful deployment of low melting-point, molten-salt heat transfer fluids by 2015-2020. Similarly, it is assumed that molten salt power towers are successfully deployed at 100MW scale over the same time period, increasing to 200MW by 2025. The levelized cost of electricity for both technologies is predicted to drop below 11 cents/kWh (assuming a 10% investment tax credit and other financial inputs outlined in the paper), making the technologies competitive in the marketplace as benchmarked by the California MPR. Both technologies can be deployed with large amounts of thermal energy storage, yielding capacity factors as high as 65% while maintaining an optimum LCOE.

Turchi, Craig (National Renewable Energy Laboratory, Golden, CO); Kolb, Gregory J.; Mehos, Mark Steven (National Renewable Energy Laboratory, Golden, CO); Ho, Clifford Kuofei

2010-08-01T23:59:59.000Z

255

Fact #859 February 9, 2015 Excess Supply is the Most Recent Event to Affect Crude Oil Prices  

Broader source: Energy.gov [DOE]

Crude oil prices have been extremely volatile over the past few decades. World events can disrupt the flow of oil to the market or cause uncertainty about future supply or demand for oil, leading...

256

Customer reponse to day-ahead wholesale market electricity prices: Case study of RTP program experience in New York  

E-Print Network [OSTI]

Price ($/MWh) Conservation Adjusted Demand Response (MW) The elasticitiesDemand Response (MW) To estimate the peak-period price response of SC-3A customers as a group, the elasticitiesresponse capability, and quantitatively through the estimation of price elasticity using demand

2004-01-01T23:59:59.000Z

257

9th AIAA Aviation Technology, Integration, and Operations Conference (ATIO) Effects of Fuel Prices on Air Transportation Market  

E-Print Network [OSTI]

of fluctuations in terms of fuel prices, seasonality, distance flown, competition, and other economic impacts, La Guardia. I. Introduction Fuel prices have increased 131% over the past four years as shown by the average air carrier cost factors shown in figure 1. This fluctuation of fuel prices, followed

258

Reduction in subsidy for solar power as distributed electricity generation in Indian future competitive power market  

Science Journals Connector (OSTI)

Developed countries have seen renewable energy as a key tool for emission reduction as well as reducing reliance on oil gas and coal.Renewable energy sources (RESs) and technologies have potential to provide solutions to the longstanding energy problems being faced by the developing countries. In the future competitive electricity market for India it becomes very much important to give special consideration for development of RESs due to economic environmental and other social problems related with conventional generations.Solar energy can be an important part of India's plan not only to add new capacity but also to increase energy security and lead the massive market for renewable energy. The major problem with solar powergeneration (SPG) is high cost of renewable generation. The Indian government is providing a lot of subsidy in order to encourage renewable energygenerations. This paper presents an approach for reduction in subsidy of SPG used as distributed generator in competitive power market. The proposed approach has been validated with IEEE 14-bus and IEEE 30-bus systems.

Naveen Kumar Sharma; Yog Raj Sood

2012-01-01T23:59:59.000Z

259

Are there really bubbles in oil prices?  

Science Journals Connector (OSTI)

Abstract The aim of this paper is to identify bubbles in oil prices by using the “exponential fitting” methodology proposed by Watanabe et al. (2007)  [28,29]. We use the daily US dollar closing crude oil prices of West Texas Intermediate (WTI) covering the 1986:01:02–2013:07:09 and the Brent for the 1987:05:20–2013:07:09 periods. The distinguishing feature of this study from the previous studies is that this is the first study in the literature showing the existence of bubbles in crude oil prices. We found that there are four distinct periods of persistent bubbles in the crude oil prices since 1986. Two of these persistent bubbles are before 2000 and two of them are after 2000. We conclude that further research is needed to understand better how futures markets may impact the oil price formation.

Mehmet Balcilar; Zeynel Abidin Ozdemir; Hakan Yetkiner

2014-01-01T23:59:59.000Z

260

Prices & Trends  

Broader source: Energy.gov [DOE]

The U.S. Energy Information Administration (EIA) collects, analyzes, and disseminates independent and impartial energy information to promote sound policymaking, efficient markets, and public understanding of energy and its interaction with the economy and the environment. Learn about EIA and Energy Department organizations that track energy prices and trends.

Note: This page contains sample records for the topic "futures market prices" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


261

Energy & Financial Markets - U.S. Energy Information Administration (EIA) -  

Gasoline and Diesel Fuel Update (EIA)

Financial Markets Financial Markets Market participants not only buy and sell physical quantities of oil, but also trade contracts for the future delivery of oil and other energy derivatives. One of the roles of futures markets is price discovery, and as such, these markets play a role in influencing oil prices. Oil market trading activity involves a range of participants with varying motivations, even within individual participants. Some, such as oil producers and airlines, have a significant commercial exposure to changes in the price of oil and petroleum-based fuels, and may seek to hedge their risk by buying and selling energy derivatives. For example, an airline may want to buy futures or options in order to avoid the possibility that its future fuel costs will rise above a certain level, while an oil producer

262

PRICE LEVELS AND DISPERSION WITH ASYMMETRIC INFORMATION.  

E-Print Network [OSTI]

??In the extensive literature on price dispersions that exists to date, there is a gap in the analysis of how market structure affects prices as… (more)

Bhattacharya, Tanmoy

2011-01-01T23:59:59.000Z

263

Retail Price Changes Lag Spot Prices  

Gasoline and Diesel Fuel Update (EIA)

1 1 Notes: While EIA cannot claim to explain all of the factors that drive retail gasoline prices, we have had a fair amount of success in exploring the relationship between wholesale and retail prices. In particular, we have looked closely at the "pass-through" of changes in spot prices to the retail market. This graph shows a weighted national average of spot prices for regular gasoline -both conventional and reformulated (shown in red), and EIA's weekly survey price for retail regular (again both conventional and reformulated). As you can see, spot prices tend to be more volatile (and would be even more so on a daily basis), while these changes are smoother by the time they reach the retail pump. Furthermore, by looking at the peaks, you can see the retail prices seem to lag the spot price changes

264

Electricity Bill Savings from Residential Photovoltaic Systems: Sensitivities to Changes in Future Electricity Market Conditions  

E-Print Network [OSTI]

schemes on power prices: The case of wind electricity inand Wind Penetration. IEEE Transactions on Power Systems 27,of wind (50%), PV (35%), and concentrating solar power (CSP,

Darghouth, Naim

2014-01-01T23:59:59.000Z

265

Electricity Bill Savings from Residential Photovoltaic Systems: Sensitivities to Changes in Future Electricity Market Conditions  

E-Print Network [OSTI]

price scenarios); a 33% renewable energy mix scenario; andthree 33% renewable energy mix scenarios that include,the standard 33% renewable energy mix scenario, the value of

Darghouth, Naim

2014-01-01T23:59:59.000Z

266

Pilot-scale manufacture and marketing of Quarg cheese: implications for future U.S. market potential  

E-Print Network [OSTI]

Marketing Research Questionnaire design and testing Product introduction 26 28 Page RESULTS AND DISCUSSION 41 Manufacture and Production Bacterial cultures used in Quarg manufacture Rennet addition Whey removal 41 42 42 Marketing Research... that the milk fat would rise to the top. After the fat wss skimmed and the whey wss drained the remalnlng soft curd was ready for use (6). Such crude fermentations are believed to have orlglnated ss early as 6000-7000 B. C. (7). As a "fresh" (unripened...

Battaglia, Ann Christine

2012-06-07T23:59:59.000Z

267

A study of Shanghai fuel oil futures price volatility based on high frequency data: Long-range dependence, modeling and forecasting  

Science Journals Connector (OSTI)

In existing researches, the investigations of oil price volatility are always performed based on daily data and squared daily return is always taken as the proxy of actual volatility. However, it is widely accepted that the popular realized volatility (RV) based on high frequency data is a more robust measure of actual volatility than squared return. Due to this motivation, we investigate dynamics of daily volatility of Shanghai fuel oil futures prices employing 5-minute high frequency data. First, using a nonparametric method, we find that RV displays strong long-range dependence and recent financial crisis can cause a lower degree of long-range dependence. Second, we model daily volatility using RV models and GARCH-class models. Our results indicate that RV models for intraday data overwhelmingly outperform GARCH-class models for daily data in forecasting fuel oil price volatility, regardless the proxy of actual volatility. Finally, we investigate the major source of such volatile prices and found that trader activity has major contribution to fierce variations of fuel oil prices.

Li Liu; Jieqiu Wan

2012-01-01T23:59:59.000Z

268

Gas Prices: Frequently Asked Questions  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Prices: Frequently Asked Questions Prices: Frequently Asked Questions What determines the price of gasoline? Energy Information Administration What's going on with gasoline prices? Factors Affecting Gasoline Prices This Week in Petroleum (updated weekly) Gasoline Price Pass-through Oil Market Basics Primer on Gasoline Sources and Markets What's up (and down) with gasoline prices? Illustration showing component costs of gasoline What are the average national and regional gasoline prices? Energy Information Administration Gasoline and Diesel Fuel Update (updated weekly) This Week in Petroleum (updated weekly) California Energy Commission California Gasoline & Gasoline Prices What is the outlook for gasoline prices? Energy Information Administration Short-Term Energy Outlook Why are gasoline prices so different from one state (or region) to another?

269

Modeling the U.S. Rooftop Photovoltaics Market  

SciTech Connect (OSTI)

Global rooftop PV markets are growing rapidly, fueled by a combination of declining PV prices and several policy-based incentives. The future growth, and size, of the rooftop market is highly dependent on continued PV cost reductions, financing options, net metering policy, carbon prices and future incentives. Several PV market penetration models, sharing a similar structure and methodology, have been developed over the last decade to quantify the impacts of these factors on market growth. This study uses a geospatially rich, bottom-up, PV market penetration model--the Solar Deployment Systems (SolarDS) model developed by the National Renewable Energy Laboratory--to explore key market and policy-based drivers for residential and commercial rooftop PV markets. The identified drivers include a range of options from traditional incentives, to attractive customer financing options, to net metering and carbon policy.

Drury, E.; Denholm, P.; Margolis, R.

2010-09-01T23:59:59.000Z

270

Prices and Price Setting.  

E-Print Network [OSTI]

??abstractThis thesis studies price data and tries to unravel the underlying economic processes of why firms have chosen these prices. It focuses on three aspects… (more)

R.P. Faber (Riemer)

2010-01-01T23:59:59.000Z

271

International Energy Outlook 1999 - World Oil Markets  

Gasoline and Diesel Fuel Update (EIA)

oil.gif (4669 bytes) oil.gif (4669 bytes) A moderate view of future oil market developments is reflected in IEO99. Sustained high levels of oil prices are not expected, whereas continued expansion of the oil resource base is anticipated. The crude oil market was wracked with turbulence during 1998, as prices fell by one-third on average from 1997 levels. Even without adjusting for inflation, the world oil price in 1998 was the lowest since 1973. The declining oil prices were influenced by an unexpected slowdown in the growth of energy demand worldwide—less than any year since 1990—and by increases in oil supply, particularly in 1997. Although the increase in world oil production in 1998 was smaller than in any year since 1993, efforts to bolster prices by imposing further limits on production were

272

Loss-Free Pricing Rules  

Science Journals Connector (OSTI)

This chapter provides an application of the pricing rule approach to the analysis of unregulated market economies with non-convex production sets. Loss-free pricing rules provide a natural framework for this a...

Prof. Dr. Antonio Villar

2000-01-01T23:59:59.000Z

273

Oil Price Trackers Inspired by Immune Memory  

E-Print Network [OSTI]

We outline initial concepts for an immune inspired algorithm to evaluate and predict oil price time series data. The proposed solution evolves a short term pool of trackers dynamically, with each member attempting to map trends and anticipate future price movements. Successful trackers feed into a long term memory pool that can generalise across repeating trend patterns. The resulting sequence of trackers, ordered in time, can be used as a forecasting tool. Examination of the pool of evolving trackers also provides valuable insight into the properties of the crude oil market.

Wilson, WIlliam; Aickelin, Uwe

2010-01-01T23:59:59.000Z

274

The Allocative Cost of Price Ceilings: Lessons to be Learned from the U.S. Residential Market for Natural Gas,” Unpublished paper  

E-Print Network [OSTI]

Following a Supreme Court decision in 1954, natural gas markets in the U.S. were subject to 35 years of intensive federal regulation. Several studies have measured the deadweight loss from the price ceilings that were imposed during this period. This paper concentrates on an additional component of welfare loss that is rarely discussed. In particular, when there is excess demand for a good such as natural gas for which secondary markets do not exist, an additional welfare loss occurs when the good is not allocated to the buyers who value it the most. We quantify the overall size of this allocative cost, its evolution during the post-war period, and its geographical distribution across states, and we highlight implications of our analysis for the regulation of other markets. Using a household-level, discrete-continuous model of natural gas demand we estimate that the allocative cost averaged $8.1 billion annually in the U.S. residential market for natural gas during 1950-2000, effectively doubling previous estimates of the total welfare losses from natural gas regulation. We find that these allocative costs were borne disproportionately by households in the Northeast, Midwest, and South Atlantic states.

Lucas W. Davis; Lutz Kilian; Jel D; Comments William; James Adams; James R. Hines

2007-01-01T23:59:59.000Z

275

NYMEX Coal Futures - Energy Information Administration  

U.S. Energy Information Administration (EIA) Indexed Site

NYMEX Coal Futures Near-Month Contract Final Settlement Price 2013 NYMEX Coal Futures Near-Month Contract Final Settlement Price 2013 Data as of: December 13, 2013 | Release Date: December 16, 2013 | Next Release Date: December 30, 2013 U.S. coal exports, chiefly Central Appalachian bituminous, make up a significant percentage of the world export market and are a relevant factor in world coal prices. Because coal is a bulk commodity, transportation is an important aspect of its price and availability. In response to dramatic changes in both electric and coal industry practices, the New York Mercantile Exchange (NYMEX) after conferring with coal producers and consumers, sought and received regulatory approval to offer coal futures and options contracts. On July 12, 2001, NYMEX began trading Central Appalachian Coal futures under the QL symbol.

276

Investor Flows and the 2008 Boom/Bust in Oil Prices  

Gasoline and Diesel Fuel Update (EIA)

Investor Investor Flows and Speculation New Evidence on Investor Flows and Oil Prices References Investor Flows and the 2008 Boom/Bust in Oil Prices Kenneth J. Singleton Graduate School of Business Stanford University August, 2011 Introduction Investor Flows and Speculation New Evidence on Investor Flows and Oil Prices References Investor Flows, Speculation, and Oil Prices The role of speculation (broadly construed) in the dramatic rise and subsequent sharp decline in oil prices during 2008? Many attribute these swings to changes in fundamentals of supply and demand, within representative agent models. At the same time there is mounting evidence of the "financialization" of commodity markets. Objective: investigate the impact of investor flows and financial market conditions on crude-oil futures prices. Introduction Investor Flows and Speculation New Evidence on

277

Gasoline Price Pass-through  

Gasoline and Diesel Fuel Update (EIA)

Gasoline Price Pass-through Gasoline Price Pass-through January 2003 by Michael Burdette and John Zyren* The single most visible energy statistic to American consumers is the retail price of gasoline. While the average consumer probably has a general notion that gasoline prices are related to those for crude oil, he or she likely has little idea that gasoline, like most other goods, is priced at many different levels in the marketing chain, and that changes ripple through the system as prices rise and fall. When substantial price changes occur, especially upward, there are often allegations of impropriety, even price gouging, on the part of petroleum refiners and/or marketers. In order to understand the movement of gasoline prices over time, it is necessary to examine the relationship between prices at retail and various wholesale levels.

278

Open Automated Demand Response Technologies for Dynamic Pricing and Smart Grid  

E-Print Network [OSTI]

6/16/2010. OASIS SDO. “Energy Market Information Exchange (of Prices CAISO’s Wholesale Energy Market Prices PG&E’s PDPWe used the CAISO wholesale energy market prices for the RTP

Ghatikar, Girish

2010-01-01T23:59:59.000Z

279

Worldwide outlook clouded by market slump of late 1993  

SciTech Connect (OSTI)

Excess production and production capacity reasserted their influence in worldwide petroleum markets last year, pushing crude oil prices to their lowest levels since before the Persian Gulf crisis. The development ended the relative price stability that has characterized the period since the crisis ended in January 1991. One of the major questions now being asked is whether there has been a downward shift in the seasonal range of crude prices. In the near future, OPEC's degree of success in balancing the market will be a key to prices. Another is politics in the Middle East. If it were not for a United Nations embargo, the market would have another 2--3 million b/d of oil supply--from Iraq. The paper discusses worldwide demand, economic trends, the supply in 1993, the supply outlook, prices, and international drilling activities.

Beck, R.J.

1994-01-31T23:59:59.000Z

280

MARKETING  

Science Journals Connector (OSTI)

MARKETING ... New Directory to Index Government Data CMRA and BDSA team up to bring out a new index to government statistics on chemical commodities Industry market researchers are teaming up with two government agencies in a joint project to catalog government data on chemicals. ...

1962-02-26T23:59:59.000Z

Note: This page contains sample records for the topic "futures market prices" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


281

Average Commercial Price  

U.S. Energy Information Administration (EIA) Indexed Site

Citygate Price Residential Price Commercial Price Industrial Price Electric Power Price Gross Withdrawals Gross Withdrawals From Gas Wells Gross Withdrawals From Oil Wells Gross Withdrawals From Shale Gas Wells Gross Withdrawals From Coalbed Wells Repressuring Nonhydrocarbon Gases Removed Vented and Flared Marketed Production NGPL Production, Gaseous Equivalent Dry Production Imports By Pipeline LNG Imports Exports Exports By Pipeline LNG Exports Underground Storage Capacity Gas in Underground Storage Base Gas in Underground Storage Working Gas in Underground Storage Underground Storage Injections Underground Storage Withdrawals Underground Storage Net Withdrawals Total Consumption Lease and Plant Fuel Consumption Pipeline & Distribution Use Delivered to Consumers Residential Commercial Industrial Vehicle Fuel Electric Power Period: Monthly Annual

282

Average Commercial Price  

Gasoline and Diesel Fuel Update (EIA)

Citygate Price Residential Price Commercial Price Industrial Price Electric Power Price Gross Withdrawals Gross Withdrawals From Gas Wells Gross Withdrawals From Oil Wells Gross Withdrawals From Shale Gas Wells Gross Withdrawals From Coalbed Wells Repressuring Nonhydrocarbon Gases Removed Vented and Flared Marketed Production NGPL Production, Gaseous Equivalent Dry Production Imports By Pipeline LNG Imports Exports Exports By Pipeline LNG Exports Underground Storage Capacity Gas in Underground Storage Base Gas in Underground Storage Working Gas in Underground Storage Underground Storage Injections Underground Storage Withdrawals Underground Storage Net Withdrawals Total Consumption Lease and Plant Fuel Consumption Pipeline & Distribution Use Delivered to Consumers Residential Commercial Industrial Vehicle Fuel Electric Power Period: Monthly Annual

283

Natural Gas Industrial Price  

Gasoline and Diesel Fuel Update (EIA)

Citygate Price Residential Price Commercial Price Industrial Price Electric Power Price Gross Withdrawals Gross Withdrawals From Gas Wells Gross Withdrawals From Oil Wells Gross Withdrawals From Shale Gas Wells Gross Withdrawals From Coalbed Wells Repressuring Nonhydrocarbon Gases Removed Vented and Flared Marketed Production NGPL Production, Gaseous Equivalent Dry Production Imports By Pipeline LNG Imports Exports Exports By Pipeline LNG Exports Underground Storage Capacity Gas in Underground Storage Base Gas in Underground Storage Working Gas in Underground Storage Underground Storage Injections Underground Storage Withdrawals Underground Storage Net Withdrawals Total Consumption Lease and Plant Fuel Consumption Pipeline & Distribution Use Delivered to Consumers Residential Commercial Industrial Vehicle Fuel Electric Power Period: Monthly Annual

284

Average Residential Price  

Gasoline and Diesel Fuel Update (EIA)

Citygate Price Residential Price Commercial Price Industrial Price Electric Power Price Gross Withdrawals Gross Withdrawals From Gas Wells Gross Withdrawals From Oil Wells Gross Withdrawals From Shale Gas Wells Gross Withdrawals From Coalbed Wells Repressuring Nonhydrocarbon Gases Removed Vented and Flared Marketed Production NGPL Production, Gaseous Equivalent Dry Production Imports By Pipeline LNG Imports Exports Exports By Pipeline LNG Exports Underground Storage Capacity Gas in Underground Storage Base Gas in Underground Storage Working Gas in Underground Storage Underground Storage Injections Underground Storage Withdrawals Underground Storage Net Withdrawals Total Consumption Lease and Plant Fuel Consumption Pipeline & Distribution Use Delivered to Consumers Residential Commercial Industrial Vehicle Fuel Electric Power Period: Monthly Annual

285

Average Residential Price  

U.S. Energy Information Administration (EIA) Indexed Site

Citygate Price Residential Price Commercial Price Industrial Price Electric Power Price Gross Withdrawals Gross Withdrawals From Gas Wells Gross Withdrawals From Oil Wells Gross Withdrawals From Shale Gas Wells Gross Withdrawals From Coalbed Wells Repressuring Nonhydrocarbon Gases Removed Vented and Flared Marketed Production NGPL Production, Gaseous Equivalent Dry Production Imports By Pipeline LNG Imports Exports Exports By Pipeline LNG Exports Underground Storage Capacity Gas in Underground Storage Base Gas in Underground Storage Working Gas in Underground Storage Underground Storage Injections Underground Storage Withdrawals Underground Storage Net Withdrawals Total Consumption Lease and Plant Fuel Consumption Pipeline & Distribution Use Delivered to Consumers Residential Commercial Industrial Vehicle Fuel Electric Power Period: Monthly Annual

286

An empirical investigation of the price linkages between wholesale beef and slaughter cattle prices  

E-Print Network [OSTI]

carcass values to determine If slaughter cattle prices by grade can be infered. The average price response indicates that the dressing percentage of the imputed carcass value is the best Indicator of slaughter cattle prices. The results also Indicate.... Marketing Margins. Price Transmission. Economic Models of Temporal Relationships. Price Differentials. 6 7 7 8 10 13 EMPIRICAL APPROACH 15 Data. -No-Trade" Days Imputed Carcass Value. Price Differentials Vertical Price Linkages. Average Price...

Owen, Cynthia Jane

2012-06-07T23:59:59.000Z

287

Transportation Energy Futures Series: Projected Biomass Utilization for Fuels and Power in a Mature MarketProjected Biomass Utilization for Fuels and Power in a Mature Market  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

FUELS Projected Biomass Utilization for Fuels and Power in a Mature Market TRANSPORTATION ENERGY FUTURES SERIES: Projected Biomass Utilization for Fuels and Power in a Mature Market A Study Sponsored by U.S. Department of Energy Office of Energy Efficiency and Renewable Energy 2013 Prepared by NATIONAL RENEWABLE ENERGY LABORATORY Golden, Colorado 80401-3305 managed by Alliance for Sustainable Energy, LLC for the U.S. DEPARTMENT OF ENERGY under contract DC-A36-08GO28308 This report was prepared as an account of work sponsored by an agency of the United States Government. Neither the United States Government nor any agency thereof, nor any of their employees, makes any warranty, expressed or implied, or assumes any legal liability or

288

select h.*, p.Price as Price, NestXML(p.PricingConditions,  

E-Print Network [OSTI]

select h.*, p.Price as Price, NestXML(p.PricingConditions, p.PNGImage) as AdditionalData from Hyper Passau, Germany New Supplier Market Place select p.ProductDescription, c.Supplier, c.AdditionalData, c.Price by p.ProductDescription, c.Price expires Friday, March 29, 2002 5:00:00 PM CET Register Products XML

Kemper, Alfons

289

Oil Price Volatility  

U.S. Energy Information Administration (EIA) Indexed Site

Speculation and Oil Price Volatility Speculation and Oil Price Volatility Robert J. Weiner Robert J. Weiner Professor of International Business, Public Policy & Professor of International Business, Public Policy & Public Administration, and International Affairs Public Administration, and International Affairs George Washington University; George Washington University; Membre Associ Membre Associ é é , GREEN, Universit , GREEN, Universit é é Laval Laval EIA Annual Conference Washington Washington 7 April 2009 7 April 2009 1 FACTORS DRIVNG OIL PRICE VOLATILITY FACTORS DRIVNG OIL PRICE VOLATILITY ► ► Market fundamentals Market fundamentals . . Fluctuations in supply, Fluctuations in supply, demand, and market power demand, and market power Some fundamentals related to expectations of Some fundamentals related to expectations of

290

Crude Oil Prices  

Gasoline and Diesel Fuel Update (EIA)

20.86 20.67 20.47 20.24 20.32 19.57 See footnotes at end of table. 21. Domestic Crude Oil First Purchase Prices Energy Information Administration Petroleum Marketing Annual...

291

Crude Oil Prices  

Gasoline and Diesel Fuel Update (EIA)

19.11 18.73 18.63 17.97 18.75 18.10 See footnotes at end of table. 21. Domestic Crude Oil First Purchase Prices Energy Information Administration Petroleum Marketing Annual...

292

Customer Risk from Real-Time Retail Electricity Pricing: Bill Volatility and Hedgability  

E-Print Network [OSTI]

Implementing Real- Time Retail Electricity Pricing,” CenterMarkets With Time-Invariant Retail Prices,” RAND Journal of155 Customer Risk from Real-Time Retail Electricity Pricing:

Borenstein, Severin

2007-01-01T23:59:59.000Z

293

CANNED FISH .RETAIL PRICES  

E-Print Network [OSTI]

CANNED FISH .RETAIL PRICES MA.Y 1959 UNITED STATES DEPARTMENT OF THE INTERIOR FISH AND WILDLIFE, Commissioner CANNED FISH RETAIL PRICES MAY 1959 Prepared in the Bureau of Commercial Fisheries Branch of Market a population of 30, 500 or over, and pric s w r obtain d by P rson 1 visit of ag nts to th retail stores in th

294

Marketing Case Inventory --1 Marketing Curriculum Case Inventory  

E-Print Network [OSTI]

Marketing Case Inventory -- 1 Marketing Curriculum Case Inventory AY 13-14 Case / Publisher / Case# Marketing Management ConsumerResearch MarketingStrategy MarketingResearch B2BMarketing Entrepreneurial Marketing BehavioralDecision Making SocialMedia&Digital Marketing Competitive Pricing AdvancedMarketing

von der Heydt, Rüdiger

295

Gasoline Prices: What is Happening?  

Gasoline and Diesel Fuel Update (EIA)

Gasoline Prices: What is Happening? Gasoline Prices: What is Happening? 5/10/01 Click here to start Table of Contents Gasoline Prices: What is Happening? Retail Motor Gasoline Price* Forecast Doesn't Reflect Potential Volatility Midwest Looking Like Last Year RFG Responding More Strongly Gasoline Prices Vary Among Locations.Retail Regular Gasoline Price, Cents per Gallon May 8, 2001 Crude Oil Affects Gasoline Prices WTI Crude Oil Prices Are Expected To Remain Relatively High Through At Least 2001 Low Total OECD Oil Stocks* Keep Market Balance Tight Low U.S. Stocks Indicate Tight U.S. Market Regional Inventories Tight Product Balance Pushes Up Product Spread (Spot Product - Crude Price) "New Factor" Contributing to Volatility: Excess Capacity is Gone Regional Refinery Utilization Shows Gulf Coast Pressure

296

Sensitivity of Rooftop PV Projections in the SunShot Vision Study to Market Assumptions  

SciTech Connect (OSTI)

The SunShot Vision Study explored the potential growth of solar markets if solar prices decreased by about 75% from 2010 to 2020. The SolarDS model was used to simulate rooftop PV demand for this study, based on several PV market assumptions--future electricity rates, customer access to financing, and others--in addition to the SunShot PV price projections. This paper finds that modeled PV demand is highly sensitive to several non-price market assumptions, particularly PV financing parameters.

Drury, E.; Denholm, P.; Margolis, R.

2013-01-01T23:59:59.000Z

297

Revealing asymmetries in the loss function of WTI oil futures market  

Science Journals Connector (OSTI)

This paper examines behavioural aspects of the West Texas Intermediate (WTI) oil 1-month futures from 1995 to ... regarding preferences. Even without observing fundamentals of WTI oil futures we can assess whethe...

E. C. Mamatzakis

2014-09-01T23:59:59.000Z

298

Multi-Factor Energy Price Models Exotic Derivatives Pricing  

E-Print Network [OSTI]

of Statistics University of Toronto c Copyright by Samuel Hikspoors 2008 #12;Multi-Factor Energy Price Models of Toronto, May 2008 Abstract The high pace at which many of the world's energy markets have gradually beenMulti-Factor Energy Price Models and Exotic Derivatives Pricing by Samuel Hikspoors A thesis

Jaimungal, Sebastian

299

Average Residential Price  

U.S. Energy Information Administration (EIA) Indexed Site

Pipeline and Distribution Use Price Citygate Price Residential Price Commercial Price Industrial Price Vehicle Fuel Price Electric Power Price Proved Reserves as of 12/31 Reserves Adjustments Reserves Revision Increases Reserves Revision Decreases Reserves Sales Reserves Acquisitions Reserves Extensions Reserves New Field Discoveries New Reservoir Discoveries in Old Fields Estimated Production Number of Producing Gas Wells Gross Withdrawals Gross Withdrawals From Gas Wells Gross Withdrawals From Oil Wells Gross Withdrawals From Shale Gas Wells Gross Withdrawals From Coalbed Wells Repressuring Nonhydrocarbon Gases Removed Vented and Flared Marketed Production Natural Gas Processed NGPL Production, Gaseous Equivalent Dry Production Imports By Pipeline LNG Imports Exports Exports By Pipeline LNG Exports Underground Storage Capacity Underground Storage Injections Underground Storage Withdrawals Underground Storage Net Withdrawals LNG Storage Additions LNG Storage Withdrawals LNG Storage Net Withdrawals Total Consumption Lease and Plant Fuel Consumption Lease Fuel Plant Fuel Pipeline & Distribution Use Delivered to Consumers Residential Commercial Industrial Vehicle Fuel Electric Power Period: Monthly Annual

300

Average Residential Price  

Gasoline and Diesel Fuel Update (EIA)

Pipeline and Distribution Use Price Citygate Price Residential Price Commercial Price Industrial Price Vehicle Fuel Price Electric Power Price Proved Reserves as of 12/31 Reserves Adjustments Reserves Revision Increases Reserves Revision Decreases Reserves Sales Reserves Acquisitions Reserves Extensions Reserves New Field Discoveries New Reservoir Discoveries in Old Fields Estimated Production Number of Producing Gas Wells Gross Withdrawals Gross Withdrawals From Gas Wells Gross Withdrawals From Oil Wells Gross Withdrawals From Shale Gas Wells Gross Withdrawals From Coalbed Wells Repressuring Nonhydrocarbon Gases Removed Vented and Flared Marketed Production Natural Gas Processed NGPL Production, Gaseous Equivalent Dry Production Imports By Pipeline LNG Imports Exports Exports By Pipeline LNG Exports Underground Storage Capacity Underground Storage Injections Underground Storage Withdrawals Underground Storage Net Withdrawals LNG Storage Additions LNG Storage Withdrawals LNG Storage Net Withdrawals Total Consumption Lease and Plant Fuel Consumption Lease Fuel Plant Fuel Pipeline & Distribution Use Delivered to Consumers Residential Commercial Industrial Vehicle Fuel Electric Power Period: Monthly Annual

Note: This page contains sample records for the topic "futures market prices" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


301

Average Commercial Price  

Gasoline and Diesel Fuel Update (EIA)

Pipeline and Distribution Use Price Citygate Price Residential Price Commercial Price Industrial Price Vehicle Fuel Price Electric Power Price Proved Reserves as of 12/31 Reserves Adjustments Reserves Revision Increases Reserves Revision Decreases Reserves Sales Reserves Acquisitions Reserves Extensions Reserves New Field Discoveries New Reservoir Discoveries in Old Fields Estimated Production Number of Producing Gas Wells Gross Withdrawals Gross Withdrawals From Gas Wells Gross Withdrawals From Oil Wells Gross Withdrawals From Shale Gas Wells Gross Withdrawals From Coalbed Wells Repressuring Nonhydrocarbon Gases Removed Vented and Flared Marketed Production Natural Gas Processed NGPL Production, Gaseous Equivalent Dry Production Imports By Pipeline LNG Imports Exports Exports By Pipeline LNG Exports Underground Storage Capacity Underground Storage Injections Underground Storage Withdrawals Underground Storage Net Withdrawals LNG Storage Additions LNG Storage Withdrawals LNG Storage Net Withdrawals Total Consumption Lease and Plant Fuel Consumption Lease Fuel Plant Fuel Pipeline & Distribution Use Delivered to Consumers Residential Commercial Industrial Vehicle Fuel Electric Power Period: Monthly Annual

302

Causality and volatility spillovers among petroleum prices of WTI, gasoline and heating oil in different locations  

Science Journals Connector (OSTI)

This paper examines the time series properties of daily spot and futures prices for three petroleum types traded at five commodity centers within and outside the United States. Examining five combinations of the spot and futures prices by petroleum type and trading center, the cointegration tests of each of these five groups suggest that spot and futures contracts offer little room for long-run commodity portfolio diversification. In the West Texas Intermediate (WTI) crude-oil group, the VEC model indicates that the New York Mercantile Exchange (NYMEX) 1-month futures price has the upper hand in terms of directional causality and volatility spillovers. In the NYMEX gasoline system, there are bi-directional causality relationships among all the gasoline spot and futures prices, but the spot price produces the greatest spillover. In the NYMEX heating oil system, information transmission and predictability among the spot, 1- and 3-month futures are found to be particularly strong and significant. In the international gasoline spot market, contrary to the world crude-oil market, there is no apparent world gasoline spot leader for the gasoline spot prices.

Shawkat Hammoudeh; Huimin Li; Bang Jeon

2003-01-01T23:59:59.000Z

303

Table 19. U.S. Refiner Residual Fuel Oil Prices  

U.S. Energy Information Administration (EIA) Indexed Site

Prices," source for backcast estimates prior to January 1983. 19. U.S. Refiner Residual Fuel Oil Prices 36 Energy Information Administration Petroleum Marketing Annual 1996...

304

Table 19. U.S. Refiner Residual Fuel Oil Prices  

U.S. Energy Information Administration (EIA) Indexed Site

Prices," source for backcast estimates prior to January 1983. 19. U.S. Refiner Residual Fuel Oil Prices 36 Energy Information Administration Petroleum Marketing Annual 1997...

305

EEL 4930/5934 Smart Grid for Sustainable Energy Spring 2014 Control, modeling, and markets for the grid of the future  

E-Print Network [OSTI]

EEL 4930/5934 Smart Grid for Sustainable Energy Spring 2014 Control, modeling, and markets markets. In A. Chakrabortty and M. Illic, eds., Control and Optimization Methods for Electric Smart Grids of the future make use of newly available online measurements, and new resources such as a vast arsenal

Fang, Yuguang "Michael"

306

First Factor Impacting Distillate Prices: Crude Oil Prices  

Gasoline and Diesel Fuel Update (EIA)

8 8 Notes: World oil prices have tripled from their low point in December 1998 to August this year, pulling product prices up as well. But crude prices are expected to show a gradual decline as increased oil production from OPEC and others enters the world oil market. We won't likely see much decline this year, however, as prices are expected to end the year at about $30 per barrel. The average price of WTI was almost $30 per barrel in March, but dropped to $26 in April as the market responded to the additional OPEC production. However, prices strengthened again, averaging almost $32 in June, $30 in July, and $31 in August. The continued increases in crude oil prices indicate buyers are having trouble finding crude oil, bidding higher prices to obtain the barrels available.

307

Food price volatility  

Science Journals Connector (OSTI)

...of commodity price changes in energy and metals as well as for foods...commodities, in particular corn, sugar and vegetable oils...smaller in food markets than in energy and metals markets, reflecting...insignificant fall grains (%) maize (corn) 19.3 19.4 19.2 1.02...

2010-01-01T23:59:59.000Z

308

Regional Residential Heating Oil Prices  

Gasoline and Diesel Fuel Update (EIA)

One of the first places where consumers are feeling the impact of One of the first places where consumers are feeling the impact of this winter's market pressures is in home heating oil prices. This chart shows prices through February 28, the most recent EIA data available. The general level of heating oil prices each year is largely a function of crude oil prices, and the price range over the course of the heating season is typically about 10 cents per gallon. Exceptions occur in unusual circumstances, such as very cold weather, large changes in crude oil prices, or supply problems. Heating oil prices for East Coast consumers started this winter at just over $1 per gallon, but rising crude oil prices drove them up nearly 21 cents through mid-January. With the continuing upward pressure from crude oil markets, magnified by a regional shortfall of heating oil

309

Regional Residential Heating Oil Prices  

Gasoline and Diesel Fuel Update (EIA)

Slide 2 of 11 Notes: One of the first places where consumers are feeling the impact of this winterÂ’s market pressures is in home heating oil prices. This chart shows prices through February 7, the most recent EIA data available. The general level of heating oil prices each year is largely a function of crude oil prices, and the price range over the course of the heating season is typically about 10 cents per gallon. Exceptions occur in unusual circumstances, such as very cold weather, large changes in crude oil prices, or supply problems. Heating oil prices for East Coast consumers started this winter at just over $1 per gallon, but rising crude oil prices drove them up nearly 21 cents per gallon through mid-January. With the continuing upward pressure from crude oil markets, magnified by a regional shortfall of

310

Fairness and dynamic pricing: comments  

SciTech Connect (OSTI)

In ''The Ethics of Dynamic Pricing,'' Ahmad Faruqui lays out a case for improved efficiency in using dynamic prices for retail electricity tariffs and addresses various issues about the distributional effects of alternative pricing mechanisms. The principal contrast is between flat or nearly constant energy prices and time-varying prices that reflect more closely the marginal costs of energy and capacity. The related issues of fairness criteria, contracts, risk allocation, cost allocation, means testing, real-time pricing, and ethical policies of electricity market design also must be considered. (author)

Hogan, William W.

2010-07-15T23:59:59.000Z

311

Utility Goals for the Efficiency Resource: Impact of PUC Rulemaking Project No. 39674 on Future Programs  

E-Print Network [OSTI]

Utility Goals for the Efficiency Resource: Impact of PUC Rulemaking Project No. 39674 on Future Programs Amy Martin CATEE Conference October 10, 2012 Overview ? Frontier Associates ? EUMMOT ? Utility Program Overview and Results to Date... Pricing & Resource Planning ? Energy Efficiency & Renewable Energy Programs ? Market Research ? Regulatory Assistance ? Database Solutions ? EUMMOT Administrator Who is EUMMOT? Electric Utility Marketing Managers of Texas (EUMMOT...

Martin, A.

2012-01-01T23:59:59.000Z

312

Charts and graphs: NUKEM Uranium price ange data; NUKEM Uranium historical price graph; U.S. DOE & euratom average contract prices for natural uranium; NUKEM SWU historical price graph; NUKEM SWU spot/secondary price range; U.S. DOE separative work prices data  

SciTech Connect (OSTI)

This article is the uranium market data summary. It contains data for the following subjects: (1) March 1996 transactions, (2) Uranium price range data, (3) Historical uranium price range data, (4) DOE and Euratom average contract prices for natural uranium, (5) SWU historical price data, (6) SWU/spot/secondary price range data, and (7) DOE SWU prices data.

NONE

1996-04-01T23:59:59.000Z

313

Residential Heating Oil Prices  

Gasoline and Diesel Fuel Update (EIA)

This chart highlights residential heating oil prices for the current and This chart highlights residential heating oil prices for the current and past heating season. As you can see, prices have started the heating season, about 40 to 50 cents per gallon higher than last year at this time. The data presented are from EIA's State Heating Oil and Propane Program. We normally collect and publish this data twice a month, but given the low stocks and high prices, we started tracking the prices weekly. These data will also be used to determine the price trigger mechanism for the Northeast Heating Oil Reserve. The data are published at a State and regional level on our web site. The slide is to give you some perspective of what is happening in these markets, since you probably will get a number of calls from local residents about their heating fuels bills

314

Average Commercial Price  

Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

Pipeline and Distribution Use Price Citygate Price Residential Price Commercial Price Industrial Price Vehicle Fuel Price Electric Power Price Proved Reserves as of 1231 Reserves...

315

Electricity price forecasting: A review of the state-of-the-art with a look into the future  

Science Journals Connector (OSTI)

Abstract A variety of methods and ideas have been tried for electricity price forecasting (EPF) over the last 15 years, with varying degrees of success. This review article aims to explain the complexity of available solutions, their strengths and weaknesses, and the opportunities and threats that the forecasting tools offer or that may be encountered. The paper also looks ahead and speculates on the directions EPF will or should take in the next decade or so. In particular, it postulates the need for objective comparative EPF studies involving (i) the same datasets, (ii) the same robust error evaluation procedures, and (iii) statistical testing of the significance of one model’s outperformance of another.

Rafa? Weron

2014-01-01T23:59:59.000Z

316

Energy Information Administration / Petroleum Marketing Annual...  

U.S. Energy Information Administration (EIA) Indexed Site

55 Energy Information Administration Petroleum Marketing Annual 1997 Prices of Petroleum Products Table 31. Motor Gasoline Prices by Grade, Sales Type, PAD District, and State...

317

Future Potential of Hybrid and Diesel Powertrains in the U.S. Light-duty Vehicle Market  

SciTech Connect (OSTI)

Diesel and hybrid technologies each have the potential to increase light-duty vehicle fuel economy by a third or more without loss of performance, yet these technologies have typically been excluded from technical assessments of fuel economy potential on the grounds that hybrids are too expensive and diesels cannot meet Tier 2 emissions standards. Recently, hybrid costs have come down and the few hybrid makes available are selling well. Diesels have made great strides in reducing particulate and nitrogen oxide emissions, and are likely though not certain to meet future standards. In light of these developments, this study takes a detailed look at the market potential of these two powertrain technologies and their possible impacts on light-duty vehicle fuel economy. A nested multinomial logit model of vehicle choice was calibrated to 2002 model year sales of 930 makes, models and engine-transmission configurations. Based on an assessment of the status and outlook for the two technologies, market shares were predicted for 2008, 2012 and beyond, assuming no additional increase in fuel economy standards or other new policy initiatives. Current tax incentives for hybrids are assumed to be phased out by 2008. Given announced and likely introductions by 2008, hybrids could capture 4-7% and diesels 2-4% of the light-duty market. Based on our best guesses for further introductions, these shares could increase to 10-15% for hybrids and 4-7% for diesels by 2012. The resulting impacts on fleet average fuel economy would be about +2% in 2008 and +4% in 2012. If diesels and hybrids were widely available across vehicle classes, makes, and models, they could capture 40% or more of the light-duty vehicle market.

Greene, D.L.

2004-08-23T23:59:59.000Z

318

Oil prices — Brownian motion or mean reversion? A study using a one year ahead density forecast criterion  

Science Journals Connector (OSTI)

For oil related investment appraisal, an accurate description of the evolving uncertainty in the oil price is essential. For example, when using real option theory to value an investment, a density function for the future price of oil is central to the option valuation. The literature on oil pricing offers two views. The arbitrage pricing theory literature for oil suggests geometric Brownian motion and mean reversion models. Empirically driven literature suggests ARMA–GARCH models. In addition to reflecting the volatility of the market, the density function of future prices should also incorporate the uncertainty due to price jumps, a common occurrence in the oil market. In this study, the accuracy of density forecasts for up to a year ahead is the major criterion for a comparison of a range of models of oil price behaviour, both those proposed in the literature and following from data analysis. The Kullbach Leibler information criterion is used to measure the accuracy of density forecasts. Using two crude oil price series, Brent and West Texas Intermediate (WTI) representing the US market, we demonstrate that accurate density forecasts are achievable for up to nearly two years ahead using a mixture of two Gaussians innovation processes with GARCH and no mean reversion.

Nigel Meade

2010-01-01T23:59:59.000Z

319

Robust management and pricing of LNG contracts with cancellation ...  

E-Print Network [OSTI]

account that price-risk is driven by international markets, while volume-risk depends .... In Europe and North America energy derivatives and physical markets ...

2012-12-18T23:59:59.000Z

320

Petroleum Marketing Monthly  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

U.S. Refi ner retail petroleum product prices U.S. Energy Information Administration | Petroleum Marketing Monthly 7 December 2014...

Note: This page contains sample records for the topic "futures market prices" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


321

Estimating Demand Response Market Potential Among Large Commercial and Industrial Customers: A Scoping Study  

E-Print Network [OSTI]

of price response (price elasticity of demand, substitutionprice elasticities, for estimating the market potential of demand responsedemand response market potential that account for customer behavior and prices through the use of price elasticities (

Goldman, Charles; Hopper, Nicole; Bharvirkar, Ranjit; Neenan, Bernie; Cappers, Peter

2007-01-01T23:59:59.000Z

322

Essays on trades and security prices  

E-Print Network [OSTI]

This thesis consists of three chapters that investigate the complex relation between security prices and trades of market participants. In the first chapter, I study the evolution of stock prices after trades with different ...

Obizhaeva, Anna

2007-01-01T23:59:59.000Z

323

Today in Energy - Daily Prices - Prices - U.S. Energy Information  

Gasoline and Diesel Fuel Update (EIA)

December 20, 2013Daily Prices December 20, 2013Daily Prices Daily wholesale and retail prices for various energy products are shown below, including spot prices and select futures prices at national or regional levels. Prices are updated each weekday (excluding federal holidays), typically between 7:30 and 8:30 a.m. This page is meant to provide a snapshot of selected daily prices only. Prices are republished by EIA with permission as follows: Wholesale Spot Petroleum Prices from Thomson Reuters, Retail Petroleum Prices from AAA Fuel Gauge Report, Prompt-Month Energy Futures from CME Group, and Select Spot Prices from SNL Energy. Daily Prices Wholesale Spot Petroleum Prices, 12/19/13 Close Product Area Price Percent Change* Crude Oil ($/barrel) WTI 98.40 +0.8 Brent 110.78 +1.1 Louisiana Light 108.27 +4.9

324

Residential implementation of critical-peak pricing of electricity  

E-Print Network [OSTI]

B. , Kollman E. , Price S. Avoided cost estimation and post-and marketing costs. The costs avoided by CPP implementation

Herter, Karen

2006-01-01T23:59:59.000Z

325

Coming Soon! 2011 Wind Technologies Market Report (Postcard)  

SciTech Connect (OSTI)

This valuable report will be available this summer! Prepared by the Energy Department's Lawrence Berkeley National Laboratory, the report is a must read, providing a comprehensive overview of United States wind industry: Installation Trends, Industry Trends, Price, Cost, and Performance Trends, Policy and Market Drivers, Future Outlook.

Not Available

2012-06-01T23:59:59.000Z

326

Summary Statistics Table 1. Crude Oil Prices  

Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

Cost Report." Figure Energy Information Administration Petroleum Marketing Annual 1996 3 Table 2. U.S. Refiner Prices of Petroleum Products to End Users (Cents per Gallon...

327

Financial and Physical Oil Market Linkages  

Gasoline and Diesel Fuel Update (EIA)

August 24, 2011 Department of Energy Washington, DC 8:30 a.m. Check-in and coffee break 9:00 a.m. Opening remarks by EIA Deputy Administrator and introductions of the participants 9:30 a.m. Morning session 1: Changes in oil futures market participation and cross- market linkage: Do speculators affect oil prices? Paper Title: Does "Paper Oil" Matter? * Presenter: Michel Robe, American University * Discussant: by: James Smith, SMU * Questions, answers and discussions by all participants 11:00 a.m. Coffee break 11:15 a.m. Morning session 2: Index investment, the financialization of commodities and oil price bubbles Paper Title: Investor Flows and the 2008 Boom/Burst in Oil Prices * Presenter: Kenneth Singleton, Stanford University

328

Status of the U.S. Market for Green Power Glenn Reed, XENERGYInc.  

E-Print Network [OSTI]

by the price differential between the default service price relative to wholesale market prices. Introduction power markets is the default service price relative to the wholesale market prices. The differenceStatus of the U.S. Market for Green Power Glenn Reed, XENERGYInc. Ashley H. Houston, XENERGY Inc

329

Factors Impacting Gasoline Prices and Areas for Further Study  

Gasoline and Diesel Fuel Update (EIA)

Factors Impacting Gasoline Prices and Areas for Further Study Factors Impacting Gasoline Prices and Areas for Further Study 8/10/01 Click here to start Table of Contents Factors Impacting Gasoline Prices and Areas for Further Study Different Factors Impact Different Aspects of Gasoline Price Correlation of Price to Inventory Levels Crude Prices Strongly Related to OECD.Crude & Product Inventories Gasoline Prices Also Influenced by Regional Gasoline Product Markets Tight Product Balance Pushes Up Product Spread (Spot Product - Crude Price) Retail Price Changes Lag Spot Prices Cumulative Gasoline Price Pass-through Illustration of How Lag Effect Dampens and Slows Retail Price Changes from Wholesale Recent Weekly Retail Price Changes Have Been as Expected Summary: Most Gasoline Price Movement Can Be Explained As Rational Market Behavior Author: Joanne Shore

330

Reactive Power Support Services in Electricity Markets  

E-Print Network [OSTI]

Reactive Power Support Services in Electricity Markets Costing and Pricing of Ancillary Services Final Project Report Power Systems Engineering Research Center A National Science Foundation Industry Reactive Power Support Services in Electricity Markets Costing and Pricing of Ancillary Services Project

331

NIH drops reasonable pricing clause  

Science Journals Connector (OSTI)

... instigated the clause, was not developed under a formal cooperative research and development agreement (CRADA). Varmus himself says that the price at which a drug is marketed should not ...

Helen Gavaghan

1995-04-20T23:59:59.000Z

332

Cross hedging jet-fuel price exposure  

Science Journals Connector (OSTI)

This paper investigates the cross hedging performance of several oil forwards contracts using WTI, Brent, gasoil and heating oil to manage jet-fuel spot price exposure. We apply three econometric techniques that have been widely tested and applied in the cross hedging literature on foreign exchange and stock index futures markets. Using quotes from the financial industry on forward contracts, we can show that the optimal cross hedging instrument depends on the maturity of the instrument's forwards contract. The results highlight that the standard approach in the literature to use crude oil as a cross hedge is not optimal for time horizons of three months or less. By contrast, for short hedging horizons our results indicate that gasoil forwards contracts represent the highest cross hedging efficiency for jet-fuel spot price exposure, while for maturities of more than three months, the predominance of gasoil diminishes in comparison to WTI and Brent.

Zeno Adams; Mathias Gerner

2012-01-01T23:59:59.000Z

333

Visualizations for Real-time Pricing Demonstration  

SciTech Connect (OSTI)

In this paper, the visualization tools created for monitoring the operations of a real-time pricing demonstration system that runs at a distribution feeder level are presented. The information these tools provide gives insights into demand behavior from automated price responsive devices, distribution feeder characteristics, impact of weather on system’s development, and other significant dynamics. Given the large number of devices that bid into a feeder-level real-time electricity market, new techniques are explored to summarize the present state of the system and contrast that with previous trends as well as future projections. To better understand the system behavior and correctly inform decision-making procedures, effective visualization of the data is imperative.

Marinovici, Maria C.; Hammerstrom, Janelle L.; Widergren, Steven E.; Dayley, Greg K.

2014-10-13T23:59:59.000Z

334

Financial and Physical Oil Market Linkages II  

Gasoline and Diesel Fuel Update (EIA)

II II September 27, 2012 Department of Energy 1000 Independence Avenue, SW Washington, D.C. 20585 8:00 a.m. Check-in and coffee break 8:45 a.m. Opening remarks by Administrator and introductions of the participants 9:15 a.m. Morning session 1: Price behavior, benchmark spreads, oil futures market participation and trading activities of commodity index traders and physical traders Paper Title: Physical Market Conditions, Paper Market Activity, and the Brent- WTI Spread * Presenter: Michel Robe, American University and CFTC * Discussant: Lutz Kilian, University of Michigan * Questions, answers and discussions by all participants 10:45 a.m. Coffee break 11:00 a.m. Morning session 2: Speculative components and premium in crude oil prices:

335

What's happening in Midwest ISO market?  

E-Print Network [OSTI]

attributable to significantly decreased natural gas, oil and coal prices. (fuel costs represent the vast of Presentation Introduction Energy prices in 2006 Day-Ahead Market Performance Real-Time Market Performance;Introduction 2006 is the first full year of market operations in Midwest ISO. Electricity prices in MISO

Tesfatsion, Leigh

336

Quantifying the value that energy efficiency and renewable energy provide as a hedge against volatile natural gas prices  

SciTech Connect (OSTI)

Advocates of energy efficiency and renewable energy have long argued that such technologies can mitigate fuel price risk within a resource portfolio. Such arguments--made with renewed vigor in the wake of unprecedented natural gas price volatility during the winter of 2000/2001--have mostly been qualitative in nature, however, with few attempts to actually quantify the price stability benefit that these sources provide. In evaluating this benefit, it is important to recognize that alternative price hedging instruments are available--in particular, gas-based financial derivatives (futures and swaps) and physical, fixed-price gas contracts. Whether energy efficiency and renewable energy can provide price stability at lower cost than these alternative means is therefore a key question for resource acquisition planners. In this paper we evaluate the cost of hedging gas price risk through financial hedging instruments. To do this, we compare the price of a 10-year natural gas swap (i.e., what it costs to lock in prices over the next 10 years) to a 10-year natural gas price forecast (i.e., what the market is expecting spot natural gas prices to be over the next 10 years). We find that over the past two years natural gas users have had to pay a premium as high as $0.76/mmBtu (0.53/242/kWh at an aggressive 7,000 Btu/kWh heat rate) over expected spot prices to lock in natural gas prices for the next 10 years. This incremental cost to hedge gas price risk exposure is potentially large enough - particularly if incorporated by policymakers and regulators into decision-making practices - to tip the scales away from new investments in variable-price, natural gas-fired generation and in favor of fixed-price investments in energy efficiency and renewable energy.

Bolinger, Mark; Wiser, Ryan; Bachrach, Devra; Golove, William

2002-05-15T23:59:59.000Z

337

Open Automated Demand Response Dynamic Pricing Technologies and Demonstration  

E-Print Network [OSTI]

Center for the Study of Energy Markets Paper CSEMWP-105.OASIS SDO. 2010b. “Energy Market Information Exchange (eMIX)charges. • Wholesale energy market prices are volatile, and

Ghatikar, Girish

2010-01-01T23:59:59.000Z

338

E-Print Network 3.0 - auto market takes Sample Search Results  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

of Calgary Collection: Computer Technologies and Information Sciences 32 European Bioenergy Markets: Integration and Price Convergence Summary: European Bioenergy Markets:...

339

E-Print Network 3.0 - assessment market model Sample Search Results  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Mathematics and Statistics, University of Canterbury Collection: Mathematics 94 European Bioenergy Markets: Integration and Price Convergence Summary: market integration is...

340

E-Print Network 3.0 - awareness market potential Sample Search...  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

of Mechanical Engineering, Carnegie Mellon University Collection: Engineering 59 European Bioenergy Markets: Integration and Price Convergence Summary: European Bioenergy Markets:...

Note: This page contains sample records for the topic "futures market prices" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


341

Pricing statistics sourcebook. 5. edition  

SciTech Connect (OSTI)

Thousands of historical and current prices for crude oil, NGL, petroleum products, natural gas and electric power are presented in easy to read tables. The book includes spot, posted and future prices; prices by state and by country; and monthly and annual prices. Most monthly price series go back 25 years. This comprehensive source for energy industry prices is a must for anyone involved in planning and budgeting. The Pricing Statistics Sourcebook has all of the essential key energy price statistics needed for analysis of the US and international oil and gas industries. Also include: an appendix of IEA, OECD and OPEC member lists, conversion factors heat content of fuels; and major events affecting the oil and gas industry since 1859. The book includes a summary analysis of significant changes in key data series written by Bob Beck, Economics Editor of the Oil and Gas Journal.

NONE

1999-11-01T23:59:59.000Z

342

Revisiting the Long-Term Hedge Value of Wind Power in an Era of Low Natural Gas Prices  

E-Print Network [OSTI]

Gas Exports on Domestic Energy Markets. Produced by the EIAexports on domestic energy markets (EIA 2012c). These twentyeditions). Short-Term Energy Outlook, Market Prices and

Bolinger, Mark

2014-01-01T23:59:59.000Z

343

El Paso Gasoline Prices  

Gasoline and Diesel Fuel Update (EIA)

0 0 Notes: Good morning. IÂ’m glad to be here in El Paso to share some of my agencyÂ’s insights on crude oil and gasoline prices. I represent the Energy Information Administration, the independent statistical and analytical agency within the Department of Energy. My division has the responsibility to monitor petroleum supplies and prices in the United States. As part of that work, we operate a number of surveys on a weekly, monthly, and annual basis. One of these is a weekly survey of retail gasoline prices at about 800 stations nationwide. This survey in particular allows us to observe the differences between local gasoline markets in the United States. While we track relatively few stations in the El Paso area, we have compared our price data with that collected by the El Paso City-County Health and Environmental District and

344

Statewide Pricing Pilot (SPP) Overview and Results  

E-Print Network [OSTI]

Demand response systems which automatically reduce load based on price · Test new forms of information Features #12;Customer Demand Elasticity's Customer Load Impacts Market Research Participant Response Market Objectives Authors Econometrically measure customer price elasticity and model customer response to critical

345

1986 Cogeneration Market Assessment  

E-Print Network [OSTI]

implementation path such as changing energy general direction. prices, tax laws, FERC decisions, avoided costs, permitting etc., the cogeneration industry is What's missing is usually the meaning of th still strong. market assessment to the end user... increases and paper production which is basically a solid fuel fired steam turbine market will increase, thus increasing the application of steam turbines. Lastly, in the refuse market probably the least effect of lower oil prices will occur. Energy...

Wallace, D. G.

346

EIA - AEO2010 - World oil prices and production trends in AEO2010  

Gasoline and Diesel Fuel Update (EIA)

World oil prices and production trends in AEO2010 World oil prices and production trends in AEO2010 Annual Energy Outlook 2010 with Projections to 2035 World oil prices and production trends in AEO2010 In AEO2010, the price of light, low-sulfur (or “sweet”) crude oil delivered at Cushing, Oklahoma, is tracked to represent movements in world oil prices. EIA makes projections of future supply and demand for “total liquids,” which includes conventional petroleum liquids—such as conventional crude oil, natural gas plant liquids, and refinery gain—in addition to unconventional liquids, which include biofuels, bitumen, coal-to-liquids (CTL), gas-to-liquids (GTL), extra-heavy oils, and shale oil. World oil prices can be influenced by a multitude of factors. Some tend to be short term, such as movements in exchange rates, financial markets, and weather, and some are longer term, such as expectations concerning future demand and production decisions by the Organization of the Petroleum Exporting Countries (OPEC). In 2009, the interaction of market factors led prompt month contracts (contracts for the nearest traded month) for crude oil to rise relatively steadily from a January average of $41.68 per barrel to a December average of $74.47 per barrel [38].

347

Flexible procurement strategies smooth price spikes  

SciTech Connect (OSTI)

Pace Global Energy Services has been predicting for some time that the recent peaks in spot coal prices were not sustainable and this has been borne out. The latest available data on coal supply and demand fundamental suggest that spot coal prices may decline even more rapidly than previously forecast. Price volatility over the last five years suggests that a flexible procurement strategy that is well adapted to volatile market conditions may be just as important as knowledge of market fundamentals. 3 figs.

Gaalaas, T. [Pace Global Energy Services LLC (United States)

2006-12-15T23:59:59.000Z

348

Definition: Variable Peak Pricing | Open Energy Information  

Open Energy Info (EERE)

Variable Peak Pricing Variable Peak Pricing Jump to: navigation, search Dictionary.png Variable Peak Pricing Variable Peak Pricing (VPP) is a hybrid of time-of-use and real-time pricing where the different periods for pricing are defined in advance (e.g., on-peak=6 hours for summer weekday afternoon; off-peak= all other hours in the summer months), but the price established for the on-peak period varies by utility and market conditions.[1] Related Terms real-time pricing References ↑ https://www.smartgrid.gov/category/technology/variable_peak_pricing [[C LikeLike UnlikeLike You like this.Sign Up to see what your friends like. ategory: Smart Grid Definitionssmart grid,off-peak,on-peak,smart grid, |Template:BASEPAGENAME]]smart grid,off-peak,on-peak,smart grid, Retrieved from "http://en.openei.org/w/index.php?title=Definition:Variable_Peak_Pricing&oldid=50262

349

Regular price  

E-Print Network [OSTI]

D-LINK DWL-1000AP 802.11B Wireless LAN Access Point 11Mbps Best Deal On Earth! Regular price: $399.00. Sale price: $234.00. DWL-120> D-LINK ...

350

Emissions trading under market imperfections.  

E-Print Network [OSTI]

??In this thesis we consider emissions trading under various market imperfections such as uncertainty over permit price, imperfect competition and noncompliance. First, we study the… (more)

Lappi, Pauli

2013-01-01T23:59:59.000Z

351

Class Pricing  

E-Print Network [OSTI]

A contract with K-class pricing divides a large set of goods or services into K classes and assigns a single price to any element of a class. Class pricing can be efficient when several different versions may be traded and ...

Wernerfelt, Birger

2008-01-15T23:59:59.000Z

352

Towards Optimal Capacity Segmentation with Hybrid Cloud Pricing  

E-Print Network [OSTI]

between periodic auctions and EC2 spot market. Furthermore, we formulate the optimal capacity segmentationTowards Optimal Capacity Segmentation with Hybrid Cloud Pricing Wei Wang, Baochun Li, and Ben Liang priced in multiple markets with different service guarantees. For example, Amazon EC2 prices virtual

Li, Baochun

353

OPEC agrees to lower oil prices, production  

Science Journals Connector (OSTI)

OPEC agrees to lower oil prices, production ... The attempt to stabilize prices and salvage some of OPEC's eroding control of the world oil market forced the cartel to make the first price cut in its history. ... U.S. government officials, predicting that the price ultimately would fall to between $25 and $27 per barrel from the new benchmark level of $29, said the new price would increase domestic production of goods and services 0.4% and cut consumer prices in the U.S. nearly 1.0%. ...

1983-03-21T23:59:59.000Z

354

The Relationship between Bulk Commodity and Chinese Steel Prices  

E-Print Network [OSTI]

Iron ore and coking coal are complementary inputs for steelmaking and therefore their prices are closely related to steel prices. Historically, trade in iron ore and coking coal was based on long-term contracts, but in recent years there has been a shift towards shorter-term pricing, including on the spot market, and consequently prices reflect market developments more quickly. This article analyses the relationship between the spot prices for iron ore, coking coal and Chinese steel products, and finds that in the short run the spot price for iron ore has tended to overshoot its long-run equilibrium following an unexpected change in Chinese steel prices.

Mark Caputo; Tim Robinson; Hao Wang

355

A NONGAUSSIAN ORNSTEINUHLENBECK PROCESS FOR ELECTRICITY SPOT PRICE MODELING AND  

E-Print Network [OSTI]

A NON­GAUSSIAN ORNSTEIN­UHLENBECK PROCESS FOR ELECTRICITY SPOT PRICE MODELING AND DERIVATIVES for analytical pricing of electricity forward and futures contracts. Electricity forward and futures contracts to capture the observed dynamics of electricity spot prices. We also discuss the pricing of European call

Kallsen, Jan

356

An economical and market analysis of Canadian wood pellets.  

SciTech Connect (OSTI)

This study systematically examined the current and future wood pellet market, estimated the cost of Canadian torrefied pellets, and compared the torrefied pellets with the conventional pellets based on literature and industrial data. The results showed that the wood pellet industry has been gaining significant momentum due to the European bioenergy incentives and the rising oil and natural gas prices. With the new bioenergy incentives in USA, the future pellets market may shift to North America, and Canada can potentially become the largest pellet production centre, supported by the abundant wood residues and mountain pine beetle (MPB) infested trees.

Peng, J. [University of British Columbia, Vancouver

2010-08-01T23:59:59.000Z

357

Profit Split, the Future of Transfer Pricing? Arm’s Length Principle and Formulary Apportionment Revisited from a Theoretical and a Practical Perspective  

Science Journals Connector (OSTI)

This article compares the Profit Split Method (“PSM”), one of the transfer pricing methods for the application of the arm’s length principle, with Formulary Apportionment (“FA”) which is discusse...

Heinz-Klaus Kroppen; Roman Dawid…

2012-01-01T23:59:59.000Z

358

Charting patterns on price history  

Science Journals Connector (OSTI)

It is an established notion among financial analysts that price moves in patterns and these patterns can be used to forecast future price. As the definitions of these patterns are often subjective, every analyst has a need to define and search meaningful ...

Saswat Anand; Wei-Ngan Chin; Siau-Cheng Khoo

2001-10-01T23:59:59.000Z

359

Appliance Efficiency Standards and Price Discrimination  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Appliance Efficiency Standards and Price Discrimination Appliance Efficiency Standards and Price Discrimination Title Appliance Efficiency Standards and Price Discrimination Publication Type Report LBNL Report Number LBNL-6283E Year of Publication 2013 Authors Spurlock, Anna C. Date Published 05/2013 Keywords EES-EG Abstract I explore the effects of two simultaneous changes in minimum energy efficiency and ENERGY STAR standards for clothes washers. Adapting the Mussa and Rosen (1978) and Ronnen (1991) second-degree price discrimination model, I demonstrate that clothes washer prices and menus adjusted to the new standards in patterns consistent with a market in which firms had been price discriminating. In particular, I show evidence of discontinuous price drops at the time the standards were imposed, driven largely by mid-low efficiency segments of the market. The price discrimination model predicts this result. On the other hand, in a perfectly competition market, prices should increase for these market segments. Additionally, new models proliferated in the highest efficiency market segment following the standard changes. Finally, I show that firms appeared to use different adaptation strategies at the two instances of the standards

360

Wealth Transfers Among Large Customers from Implementing Real-Time Retail Electricity Pricing  

E-Print Network [OSTI]

Severin. “Time-Varying Retail Electricity Prices: Theory andCustomer Risk from Real-Time Retail Electricity Pricing:Markets With Time-Invariant Retail Prices,” RAND Journal of

Borenstein, Severin

2007-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "futures market prices" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


361

price | OpenEI  

Open Energy Info (EERE)

price price Dataset Summary Description Global PV grid parity and market potential. Data is courtesy of Sean Ong. Source National Renewable Energy Laboratory Date Released Unknown Date Updated Unknown Keywords grid Parity Payback photovoltaic price PV Residential Data text/csv icon globalgridparity.csv (csv, 4.8 KiB) Quality Metrics Level of Review Some Review Comment Temporal and Spatial Coverage Frequency Time Period License License Creative Commons CCZero Comment Rate this dataset Usefulness of the metadata Average vote Your vote Usefulness of the dataset Average vote Your vote Ease of access Average vote Your vote Overall rating Average vote Your vote Comments Login or register to post comments If you rate this dataset, your published comment will include your rating. Dataset Summary

362

Commodity Price Interaction: CO2 Allowances, Fuel Sources and Electricity  

Science Journals Connector (OSTI)

This work anlyses the relationship between the returns for carbon, electricity and fossil fuel price (coal, oil and natural gas), ... in carbon are not strongly reflected in electricity prices. Also, market power...

Mara Madaleno; Carlos Pinho; Cláudia Ribeiro

2014-01-01T23:59:59.000Z

363

Fact #742: August 27, 2012 Oil Price and Economic Growth  

Broader source: Energy.gov [DOE]

Major oil price shocks have disrupted world energy markets five times in the past 30 years (1973-74, 1979-80, 1990-91, 1999-2000, and 2008). Most of the oil price shocks were followed by an...

364

An agent-based approach to modeling electricity spot markets  

E-Print Network [OSTI]

(cont.) The model could also be used to analyze market factors (such as new market rules) and their effects on market price dynamics and market participants' behaviors, as well as to identify the "best" response action of ...

Visudhiphan, Poonsaeng, 1973-

2003-01-01T23:59:59.000Z

365

Spot Distillate & Crude Oil Prices  

Gasoline and Diesel Fuel Update (EIA)

5 5 Notes: Retail distillate prices follow the spot distillate markets, and crude oil prices have been the main driver behind distillate spot price increases until recently. Crude oil rose about 36 cents per gallon from its low point in mid February 1999 to the middle of January 2000. Over this same time period, New York Harbor spot heating oil had risen about 42 cents per gallon, reflecting both the crude price rise and a return to a more usual seasonal spread over the price of crude oil. The week ending January 21, heating oil spot prices in the Northeast spiked dramatically to record levels, closing on Friday at $1.26 per gallon -- up 50 cents from the prior week. Gulf Coast prices were not spiking, but were probably pulled slightly higher as the New York Harbor market began to

366

Global market integration increases likelihood that a future African Green Revolution could increase crop land use and CO2 emissions  

Science Journals Connector (OSTI)

...short/1403543111 3 of 9 ordinary demand elasticity. Indeed, even if global demand is wholly inelastic, the excess demand response can be elastic if producers in the rest of the world are sufficiently responsive to a price change induced by developments...

Thomas W. Hertel; Navin Ramankutty; Uris Lantz C. Baldos

2014-01-01T23:59:59.000Z

367

Lynn Price  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Lynn Price Lynn Price China Energy Group Lawrence Berkeley National Laboratory 1 Cyclotron Road MS 90R2002 Berkeley CA 94720 Office Location: 90-2108 (510) 486-6519 LKPrice@lbl.gov Lynn Price is a Staff Scientist and Leader of the China Energy Group of the Energy Analysis and Environmental Impacts Department, Environmental Energy Technologies Division, of Lawrence Berkeley National Laboratory. Ms. Price has a MS in Environmental Science from the University of Wisconsin-Madison and has worked at LBNL since 1990. Ms. Price has been a member of the Intergovernmental Panel on Climate Change, which won the Nobel Peace Prize in 2007, since 1994 and was an author on the industrial sector chapter of IPCC's Fourth Assessment Report on Mitigation of Climate Change. Since 1999, Ms. Price has provided technical assistance to the Energy

368

Impact of farm policy on cotton prices in the United States: a study of cointegrated textile prices  

E-Print Network [OSTI]

, and numerous other individuals to get involved in the expectation of an associated price change. New agricultural policy, therefore, is a federal government interruption in "business as usual" cycles and serves to create fluctuations in market price...

Cook, Katherine Renee'

2012-06-07T23:59:59.000Z

369

Accounting for fuel price risk: Using forward natural gas prices instead of gas price forecasts to compare renewable to natural gas-fired generation  

SciTech Connect (OSTI)

Against the backdrop of increasingly volatile natural gas prices, renewable energy resources, which by their nature are immune to natural gas fuel price risk, provide a real economic benefit. Unlike many contracts for natural gas-fired generation, renewable generation is typically sold under fixed-price contracts. Assuming that electricity consumers value long-term price stability, a utility or other retail electricity supplier that is looking to expand its resource portfolio (or a policymaker interested in evaluating different resource options) should therefore compare the cost of fixed-price renewable generation to the hedged or guaranteed cost of new natural gas-fired generation, rather than to projected costs based on uncertain gas price forecasts. To do otherwise would be to compare apples to oranges: by their nature, renewable resources carry no natural gas fuel price risk, and if the market values that attribute, then the most appropriate comparison is to the hedged cost of natural gas-fired generation. Nonetheless, utilities and others often compare the costs of renewable to gas-fired generation using as their fuel price input long-term gas price forecasts that are inherently uncertain, rather than long-term natural gas forward prices that can actually be locked in. This practice raises the critical question of how these two price streams compare. If they are similar, then one might conclude that forecast-based modeling and planning exercises are in fact approximating an apples-to-apples comparison, and no further consideration is necessary. If, however, natural gas forward prices systematically differ from price forecasts, then the use of such forecasts in planning and modeling exercises will yield results that are biased in favor of either renewable (if forwards < forecasts) or natural gas-fired generation (if forwards > forecasts). In this report we compare the cost of hedging natural gas price risk through traditional gas-based hedging instruments (e.g., futures, swaps, and fixed-price physical supply contracts) to contemporaneous forecasts of spot natural gas prices, with the purpose of identifying any systematic differences between the two. Although our data set is quite limited, we find that over the past three years, forward gas prices for durations of 2-10 years have been considerably higher than most natural gas spot price forecasts, including the reference case forecasts developed by the Energy Information Administration (EIA). This difference is striking, and implies that resource planning and modeling exercises based on these forecasts over the past three years have yielded results that are biased in favor of gas-fired generation (again, presuming that long-term stability is desirable). As discussed later, these findings have important ramifications for resource planners, energy modelers, and policy-makers.

Bolinger, Mark; Wiser, Ryan; Golove, William

2003-08-13T23:59:59.000Z

370

Essays on Price Dynamics  

E-Print Network [OSTI]

Small Regular Price Changes . . . . . . . . . . . . . . .4 The Cyclicality of Effective Prices2.3 Wholesale Price vs. Retail

Hong, Gee Hee

2012-01-01T23:59:59.000Z

371

World oil prices expected to fall  

Science Journals Connector (OSTI)

World oil prices expected to fall ... The good news is that world oil prices probably will fall somewhat in the near future. ... The bad news is that oil prices probably will begin rising again in the mid-1980s, and even the optimists suspect that they will continue to do so thereafter. ...

1983-10-10T23:59:59.000Z

372

Voltage Stability Constrained OPF Market Models Considering N-1 Contingency Criteria  

E-Print Network [OSTI]

, standard auction markets, and spot-pricing or hybrid markets. Although several stud- ies have been prices has not been properly addressed. This paper focuses on hybrid markets and proposes two methods

Cañizares, Claudio A.

373

Addressing an Uncertain Future Using Scenario Analysis  

E-Print Network [OSTI]

a scenario may be an oil price hike in a future year, whichon the impact of high oil prices on the global economy (seethe scenario of a high oil price (of US$35/barrel, which is

Siddiqui, Afzal S.; Marnay, Chris

2008-01-01T23:59:59.000Z

374

Market review: Market values summary July market review/current market data  

SciTech Connect (OSTI)

A summary of financial data for the uranium spot market is provided. Recent transactions are tabulated, including uranium sales, natural uranium loans, conversion sales, and enrichment sales. A market values summary and long-term price indicators are also provided. The July 1996 market review data includes summaries of near-term uranium sales, near-term supply/demand, NUEXCO values, USEC prices, and calculated worth of enriched uranium. Active projects in uranium, conversion, and separative work supply and demand are listed. International market values are tabulated for 22 selected currencies.

NONE

1996-08-01T23:59:59.000Z

375

Petroleum Marketing Annual 2007  

U.S. Energy Information Administration (EIA) Indexed Site

7 Released: August 29, 2008 Petroleum Marketing Annual --- Full report in PDF (1.2 MB) Summary Statistics Summary Statistics Tables PDF 1 Crude Oil Prices PDF TXT 1A Refiner...

376

Petroleum Marketing Annual 2008  

U.S. Energy Information Administration (EIA) Indexed Site

8 Released: August 27, 2009 Petroleum Marketing Annual --- Full report in PDF (1.2 MB) Summary Statistics Summary Statistics Tables PDF 1 Crude Oil Prices PDF TXT 1A Refiner...

377

Petroleum Marketing Monthly  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

See footnotes at end of table. U.S. Energy Information Administration | Petroleum Marketing Monthly 14 December 2014 Table 6. U.S. refi ner motor gasoline prices by grade and...

378

Essays on Three Price Judgments: Price Fairness, Price Magnitude, and Price Expectation.  

E-Print Network [OSTI]

??This dissertation addresses three important price judgments: price fairness, price magnitude, and price expectation. Developed over three chapters, the main objective of this research is… (more)

Bhowmick, Sandeep

2010-01-01T23:59:59.000Z

379

World Oil: Market or Mayhem?  

E-Print Network [OSTI]

The world oil market is regarded by many as a puzzle. Why are oil prices so volatile? What is OPEC and what does OPEC do? Where are oil prices headed in the long run? Is “peak oil” a genuine concern? Why did oil prices ...

Smith, James L.

2008-01-01T23:59:59.000Z

380

Microsoft Word - Price Probabilities Supplement.doc  

Gasoline and Diesel Fuel Update (EIA)

0 0 1 April 2010 Short-Term Energy Outlook Supplement: Probabilities of Possible Future Prices 1 EIA introduced a monthly analysis of energy price volatility and forecast uncertainty in the October 2009 Short-Term Energy Outlook (STEO). Included in the analysis were charts portraying confidence intervals around the New York Mercantile Exchange (NYMEX) futures prices of West Texas Intermediate (equivalent to light sweet crude oil) and Henry Hub natural gas contracts. The March 2010 STEO added another set of charts listing the probability of the future realized price exceeding or falling below given price levels (see Figures 1A and 1B for West Texas Intermediate crude oil price probabilities). These charts are also available as spreadsheets allowing users to input their own prices to

Note: This page contains sample records for the topic "futures market prices" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


381

Petroleum Products Table 31. Motor Gasoline Prices by Grade...  

Gasoline and Diesel Fuel Update (EIA)

by Grade, Sales Type, PAD District, and State 56 Energy Information Administration Petroleum Marketing Annual 1996 Table 31. Motor Gasoline Prices by Grade, Sales Type, PAD...

382

Table 21. Domestic Crude Oil First Purchase Prices  

U.S. Energy Information Administration (EIA) Indexed Site

Information Administration Petroleum Marketing Annual 1995 41 Table 21. Domestic Crude Oil First Purchase Prices (Dollars per Barrel) - Continued Year Month PAD District II...

383

Table 21. Domestic Crude Oil First Purchase Prices  

U.S. Energy Information Administration (EIA) Indexed Site

Information AdministrationPetroleum Marketing Annual 1999 41 Table 21. Domestic Crude Oil First Purchase Prices (Dollars per Barrel) - Continued Year Month PAD District II...

384

Table 21. Domestic Crude Oil First Purchase Prices  

U.S. Energy Information Administration (EIA) Indexed Site

Information AdministrationPetroleum Marketing Annual 1998 41 Table 21. Domestic Crude Oil First Purchase Prices (Dollars per Barrel) - Continued Year Month PAD District II...

385

Stochastic Modeling and Analysis of Energy Commodity Spot Price Processes.  

E-Print Network [OSTI]

??Supply and demand in the World oil market are balanced through responses to price movement with considerable complexity in the evolution of underlying supply-demand expectation… (more)

Otunuga, Olusegun Michael

2014-01-01T23:59:59.000Z

386

The Role of Demand Response in Default Service Pricing  

E-Print Network [OSTI]

THE ROLE OF DEMAND RESPONSE IN DEFAULT SERVICE PRICING Galenfor providing much-needed demand response in electricitycompetitive retail markets, demand response often appears to

Barbose, Galen; Goldman, Chuck; Neenan, Bernie

2006-01-01T23:59:59.000Z

387

Real-Time Pricing of Electricity: An Assessment  

E-Print Network [OSTI]

. This paper reviews one of these new rate design proposals, "spot market" or "real-time" pricing, and discusses some recent implementations in Texas....

Baughman, M. L.; Zarnikau, J.

388

Residential implementation of critical-peak pricing of electricity  

E-Print Network [OSTI]

to time-of-day electricity pricing: first empirical results.S. The trouble with electricity markets: understandingresidential peak-load electricity rate structures. Journal

Herter, Karen

2006-01-01T23:59:59.000Z

389

Factors Influencing Oil Prices: A Survey of the Current State...  

Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

Hamilton (2009a) points out, as have numerous other authors surveying the oil market (Smith, 2009; Fattouh, 2007), that to understand short run oil price behavior one must...

390

Table 35. Refiner Motor Gasoline Prices by Grade, Sales Type...  

Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

Information Administration Petroleum Marketing Annual 1995 Table 35. Refiner Motor Gasoline Prices by Grade, Sales Type, PAD District, and State (Cents per Gallon Excluding...

391

Table 32. Conventional Motor Gasoline Prices by Grade, Sales...  

Gasoline and Diesel Fuel Update (EIA)

Administration Petroleum Marketing Annual 1995 Table 32. Conventional Motor Gasoline Prices by Grade, Sales Type, PAD District, and State (Cents per Gallon Excluding...

392

Table 32. Conventional Motor Gasoline Prices by Grade, Sales...  

Gasoline and Diesel Fuel Update (EIA)

AdministrationPetroleum Marketing Annual 1998 Table 32. Conventional Motor Gasoline Prices by Grade, Sales Type, PAD District, and State (Cents per Gallon Excluding...

393

Table 33. Oxygenated Motor Gasoline Prices by Grade, Sales Type...  

Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

Administration Petroleum Marketing Annual 1995 Table 33. Oxygenated Motor Gasoline Prices by Grade, Sales Type, PAD District, and State (Cents per Gallon Excluding...

394

Table 34. Reformulated Motor Gasoline Prices by Grade, Sales...  

Gasoline and Diesel Fuel Update (EIA)

Administration Petroleum Marketing Annual 1995 Table 34. Reformulated Motor Gasoline Prices by Grade, Sales Type, PAD District, and State (Cents per Gallon Excluding...

395

Table 35. Refiner Motor Gasoline Prices by Grade, Sales Type...  

Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

Information AdministrationPetroleum Marketing Annual 1999 Table 35. Refiner Motor Gasoline Prices by Grade, Sales Type, PAD District, and State (Cents per Gallon Excluding...

396

Table 35. Refiner Motor Gasoline Prices by Grade, Sales Type...  

Gasoline and Diesel Fuel Update (EIA)

Information AdministrationPetroleum Marketing Annual 1998 Table 35. Refiner Motor Gasoline Prices by Grade, Sales Type, PAD District, and State (Cents per Gallon Excluding...

397

Crude Oil Prices Table 21. Domestic Crude Oil First Purchase...  

Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

Information Administration Petroleum Marketing Annual 1995 41 Table 21. Domestic Crude Oil First Purchase Prices (Dollars per Barrel) - Continued Year Month PAD District II...

398

U.S. Residential Heating Oil Prices  

Gasoline and Diesel Fuel Update (EIA)

5 5 Notes: One of the first places where consumers are feeling the impact of this winterÂ’s market pressures is in home heating oil prices. This chart shows prices for the last four winters, with this yearÂ’s prices shown through January 24, the most recent EIA data available. The general level of heating oil prices each year is largely a function of crude oil prices, and the price range over the course of the heating season is typically about 10 cents per gallon. Exceptions occur in unusual circumstances, such as very cold weather, large changes in crude oil prices, or supply problems. Although heating oil prices for consumers started this winter at similar levels to those in 1997, they already rose nearly 20 cents per gallon through mid-January. With the continuing upward pressure from crude

399

Correlation of Price to Inventory Levels  

Gasoline and Diesel Fuel Update (EIA)

1 1 Notes: Gasoline prices move with changes in crude oil prices, and crude prices have varied significantly over the past decade, as illustrated above with the monthly average spot prices for West Texas Intermediate crude oil. Gasoline prices were as low as 91 cents per gallon in early 1999 when crude prices were very low, and were around $1.56 per gallon mid to late September 2000 when crude prices were high, even though the peak gasoline demand season was over at that point. We have observed that crude oil., like other commodities, responds to basic market fundamentals of supply and demand. Inventories are a good means of measuring the balance between demand and supply in the marketplace, and thus are a good barometer of price pressure. For example, when demand exceeds supply over and above the typical situation,

400

Definition: Critical Peak Pricing | Open Energy Information  

Open Energy Info (EERE)

Pricing Pricing Jump to: navigation, search Dictionary.png Critical Peak Pricing When utilities observe or anticipate high wholesale market prices or power system emergency conditions, they may call critical events during a specified time period (e.g., 3 p.m.-6 p.m. on a hot summer weekday), the price for electricity during these time periods is substantially raised. Two variants of this type of rate design exist: one where the time and duration of the price increase are predetermined when events are called and another where the time and duration of the price increase may vary based on the electric grid's need to have loads reduced;[1] Related Terms electricity generation References ↑ https://www.smartgrid.gov/category/technology/critical_peak_pricing Ret LikeLike UnlikeLike

Note: This page contains sample records for the topic "futures market prices" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


401

Diesel Fuel Price Pass-through  

Gasoline and Diesel Fuel Update (EIA)

Diesel Fuel Price Pass-through Diesel Fuel Price Pass-through EIA Home > Petroleum > Petroleum Feature Articles Diesel Fuel Price Pass-through Printer-Friendly PDF Diesel Fuel Price Pass-through by Michael Burdette and John Zyren* Over the past several years, the Energy Information Administration (EIA) has extensively studied the relationships between wholesale and retail markets for petroleum products. Beginning with gasoline, we looked at the two ends of the pricing structure in the U.S. market: daily spot prices, which capture sales of large quantities of product between refiners, importers/exporters, and traders; and weekly retail prices, measured at local gasoline outlets nationwide. In the course of this analysis, EIA has found that the relationships between spot and retail prices are consistent and predictable, to the extent that changes in spot prices can be used to forecast subsequent changes in retail prices for the appropriate regions. This article represents the extension of this type of analysis and modeling into the diesel fuel markets.

402

NREL: Energy Analysis - Technology and Program Market Data  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Technology and Program Market Data Technology and Program Market Data This Web page provides market data for renewable energy technologies and programs. The data, presented in individual reports for each area, include data regarding market penetration; industry trends; cost, price, and performance trends; and policy and market drivers. Most of the reports include an outlook for the future. NREL led an effort that was initiated by the Strategic Planning and Analysis group of the Office of Energy Efficiency and Renewable Energy (EERE) to produce these reports for each of the energy areas managed by EERE. The last report was published in June 2011. Biomass/Ethanol Current State of the U.S. Ethanol Industry 2007 Year in Review: U.S. Ethanol Industry, the Next Inflection Point Building Technologies

403

Notes from Financial and Physical Oil Market Linkages  

Gasoline and Diesel Fuel Update (EIA)

Notes from Financial and Physical Oil Market Linkages Notes from Financial and Physical Oil Market Linkages August 24, 2011 Session 1: 9:30 a.m. - 11:00 a.m. Paper Title: Does 'Paper Oil' Matter? Presenter: Michel Robe, American University Discussant: James Smith, Southern Methodist University Paper Abstract We construct a uniquely detailed, comprehensive dataset of trader positions in U.S. energy futures markets. We find considerable changes in the make-up of the open interest between 2000 and 2010 and show that these changes impact asset pricing. Specifically, dynamic conditional correlations between the rates of return on investable energy and stock market indices increase significantly amid greater activity by speculators in general and hedge funds in particular (especially funds active in both equity and energy markets). The impact of hedge fund activity is

404

2013 Distributed Wind Market Report  

Broader source: Energy.gov [DOE]

This report describes the status of the U.S. distributed wind market in 2013; its trends, performance, market drivers and future outlook.

405

Electricity Market Module  

U.S. Energy Information Administration (EIA) Indexed Site

Market Module Market Module This page inTenTionally lefT blank 101 U.S. Energy Information Administration | Assumptions to the Annual Energy Outlook 2013 Electricity Market Module The NEMS Electricity Market Module (EMM) represents the capacity planning, dispatching, and pricing of electricity. It is composed of four submodules-electricity capacity planning, electricity fuel dispatching, electricity load and demand, and electricity finance and pricing. It includes nonutility capacity and generation, and electricity transmission and trade. A detailed description of the EMM is provided in the EIA publication, Electricity Market Module of the National Energy Modeling System 2013, DOE/EIA-M068(2013). Based on fuel prices and electricity demands provided by the other modules of the NEMS, the EMM determines the most

406

Market Data for Renewable Energy Projects and Programs at NREL | Open  

Open Energy Info (EERE)

for Renewable Energy Projects and Programs at NREL for Renewable Energy Projects and Programs at NREL Jump to: navigation, search Logo: Market Data for Renewable Energy Projects and Programs at NREL Name Market Data for Renewable Energy Projects and Programs at NREL Agency/Company /Organization National Renewable Energy Laboratory Sector Energy Topics Market analysis Resource Type Dataset, Guide/manual Website http://www.nrel.gov/analysis/r References Market Data for Renewable Energy Projects and Programs at NREL[1] Abstract This Web page includes market data for renewable energy technologies and programs, presented in individual reports for each area. Data includes market penetration; industry trends; cost, price, and performance trends; policy and market drivers; as well as future outlook. Overview

407

Buying Hedge with Futures  

E-Print Network [OSTI]

Agricultural Economist, Kansas State University Agricultural Experiment Station and Cooperative Extension Service. Many bulk purchasers of agricultural com- modities need price risk management tools to help stabilize input prices. Livestock feeders... anticipating future feed needs or grain export- ers making commitments to sell grain are two users of agricultural commodities who could benefit from input price management strate- gies. A common tool is a buying, or long, hedge using futures. Producers...

Welch, Mark; Kastens, Terry L.

2009-01-07T23:59:59.000Z

408

Oil Prices, Volatility, and Shocks: A Survey  

Science Journals Connector (OSTI)

This paper surveys the literature on the economic effects of oil market developments. It assesses the economic theory behind oil price impacts and presents how the existing literature has analysed the link betwee...

Ulrich Oberndorfer

2014-01-01T23:59:59.000Z

409

Carbon auctions, energy markets & market power: An experimental analysis  

Science Journals Connector (OSTI)

Abstract This paper provides an experimental analysis of a simultaneous energy-emissions market under conditions of market power. The experimental design employs real-world institutional features; including stochastic demand, permit banking, inter-temporal (multi-round) dynamics, a tightening cap, and resale. The results suggest that dominant firms can utilize energy-emissions market linkages to simultaneously inflate the price of energy and suppress the price of emissions allowances. Whereas under prior market designs, regulators were concerned with dominant firms exercising their market power over the emissions market to exclude rivals and manipulate the permit market by hoarding permits; the results of this paper suggest that this strategy is less profitable to dominant firms in contemporary auction-based markets than strategic capacity withholding in the energy market and associated demand reduction in the emissions market.

Noah C. Dormady

2014-01-01T23:59:59.000Z

410

Agricultural intensification escalates future conservation costs  

Science Journals Connector (OSTI)

...intensification, local labor markets, and deforestation in the Philippines...State of the Forest Carbon Markets 2011: From Canopy to Currency...price inflation; context 2, market flooding; and context...10 km/h (2). Price of diesel, $1.2/L. { Estimated...

Jacob Phelps; Luis Roman Carrasco; Edward L. Webb; Lian Pin Koh; Unai Pascual

2013-01-01T23:59:59.000Z

411

Petroleum Marketing Annual 1997  

Gasoline and Diesel Fuel Update (EIA)

7 7 Entire . The entire report as a single file. PDF 1.2MB . . Front Matter . Petroleum Marketing Annual Cover Page, Contacts, Preface, and Table of Contents PDF . . Highlights . Petroleum Marketing Annual Highlights PDF . . Summary Statistics . Summary Statistics Tables PDF 1 Crude Oil Prices PDF TXT 2 U.S. Refiner Prices of Petroleum Products to End Users PDF TXT 3 U.S. Refiner Volumes of Petroleum Products to End Users PDF TXT 4 U.S. Refiner Prices of Petroleum Products for Resale PDF TXT 5 U.S. Refiner Volumes of Petroleum Products for Resale PDF TXT 6 U.S. Refiner Motor Gasoline Prices by Grade and Sales Type PDF TXT 7 U.S. Refiner Motor Gasoline Volumes by Grade and Sales Type PDF TXT 8 U.S. Refiner Conventional Motor Gasoline Prices by Grade and Sales Type PDF TXT

412

Petroleum Marketing Annual  

Gasoline and Diesel Fuel Update (EIA)

9 9 Entire . The entire report as a single file. PDF 1.2MB . Front Matter . Petroleum Marketing Annual Cover Page, Preface, and Table of Contents PDF . Highlights . Petroleum Marketing Annual Highlights PDF . . Summary Statistics . Summary Statistics Tables PDF 1 Crude Oil Prices PDF TXT 2 U.S. Refiner Prices of Petroleum Products to End Users PDF TXT 3 U.S. Refiner Volumes of Petroleum Products to End Users PDF TXT 4 U.S. Refiner Prices of Petroleum Products for Resale PDF TXT 5 U.S. Refiner Volumes of Petroleum Products for Resale PDF TXT 6 U.S. Refiner Motor Gasoline Prices by Grade and Sales Type PDF TXT 7 U.S. Refiner Motor Gasoline Volumes by Grade and Sales Type PDF TXT 8 U.S. Refiner Conventional Motor Gasoline Prices by Grade and Sales Type PDF TXT

413

Petroleum Marketing Annual  

Gasoline and Diesel Fuel Update (EIA)

5 5 Entire . The entire report as a single file. PDF 2.9MB . . Front Matter . Petroleum Marketing Annual Cover Page, Contacts, Preface, and Table of Contents PDF . . Highlights . Petroleum Marketing Annual Highlights PDF . . Summary Statistics . Summary Statistics Tables PDF 1 Crude Oil Prices PDF 2 U.S. Refiner Prices of Petroleum Products to End Users PDF 3 U.S. Refiner Volumes of Petroleum Products to End Users PDF 4 U.S. Refiner Prices of Petroleum Products for Resale PDF 5 U.S. Refiner Volumes of Petroleum Products for Resale PDF 6 U.S. Refiner Motor Gasoline Prices by Grade and Sales Type PDF 7 U.S. Refiner Motor Gasoline Volumes by Grade and Sales Type PDF 8 U.S. Refiner Conventional Motor Gasoline Prices by Grade and Sales Type PDF 9 U.S. Refiner Conventional Motor Gasoline Volumes by Grade and Sales Type PDF

414

Petroleum Marketing Annual  

Gasoline and Diesel Fuel Update (EIA)

6 6 Entire . The entire report as a single file. PDF 2.9MB . . Front Matter . Petroleum Marketing Annual Cover Page, Contacts, Preface, and Table of Contents PDF . . Highlights . Petroleum Marketing Annual Highlights PDF . . Summary Statistics . Summary Statistics Tables PDF 1 Crude Oil Prices PDF 2 U.S. Refiner Prices of Petroleum Products to End Users PDF 3 U.S. Refiner Volumes of Petroleum Products to End Users PDF 4 U.S. Refiner Prices of Petroleum Products for Resale PDF 5 U.S. Refiner Volumes of Petroleum Products for Resale PDF 6 U.S. Refiner Motor Gasoline Prices by Grade and Sales Type PDF 7 U.S. Refiner Motor Gasoline Volumes by Grade and Sales Type PDF 8 U.S. Refiner Conventional Motor Gasoline Prices by Grade and Sales Type PDF 9 U.S. Refiner Conventional Motor Gasoline Volumes by Grade and Sales Type PDF

415

Imperfect price-reversibility of US gasoline demand: Asymmetric responses to price increases and declines  

SciTech Connect (OSTI)

This paper describes a framework for analyzing the imperfect price-reversibility (hysteresis) of oil demand. The oil demand reductions following the oil price increases of the 1970s will not be completely reversed by the price cuts of the 1980s, nor is it necessarily true that these partial demand reversals themselves will be reversed exactly by future price increases. The author decomposes price into three monotonic series: price increases to maximum historic levels, price cuts, and price recoveries (increases below historic highs). He would expect that the response to price cuts would be no greater than to price recoveries, which in turn would be no greater than for increases in maximum historic price. For evidence of imperfect price-reversibility, he tests econometrically the following US data: vehicle miles per driver, the fuel efficiency of the automobile fleet, and gasoline demand per driver. In each case, the econometric results allow him to reject the hypothesis of perfect price-reversibility. The data show smaller response to price cuts than to price increases. This has dramatic implications for projections of gasoline and oil demand, especially under low-price assumptions. 26 refs., 13 figs., 3 tabs.

Gately, D. (New York Univ., NY (United States))

1992-01-01T23:59:59.000Z

416

Automatic stock market trading based on Technical Analysis.  

E-Print Network [OSTI]

?? The theory of technical analysis suggests that future stock price developement can be foretold by analyzing historical price fluctuations and identifying repetitive patterns. A… (more)

Larsen, Fredrik

2007-01-01T23:59:59.000Z

417

Market making and risk management in options markets  

Science Journals Connector (OSTI)

This article examines the personal trading strategies of member proprietary traders in the natural gas futures options market. Trading activity is found to mirror previous findings in futures markets, specific...

Naomi E. Boyd

2014-11-01T23:59:59.000Z

418

Retail Heating Oil and Diesel Fuel Prices  

Gasoline and Diesel Fuel Update (EIA)

Because of the higher projected crude oil prices and because of Because of the higher projected crude oil prices and because of increased tightening in the Northeast heating oil market since the last Outlook, we now expect prices this winter for residential heating oil deliveries to peak at $1.52 per gallon in January. This is significantly above the monthly peak reached last winter. Because these figures are monthly averages, we expect some price movements for a few days to be above the values shown on the graph. This winter's expected peak price would be the highest on record in nominal terms, eclipsing the high set in February 2000. However, in real (constant dollar) terms, both of these prices remain well below the peak reached in March 1981, when the average residential heating oil price was $1.29 per gallon, equivalent to over $2.50 per gallon today.

419

Comfort-Aware Home Energy Management Under Market-Based Demand-Response  

E-Print Network [OSTI]

Comfort-Aware Home Energy Management Under Market-Based Demand-Response Jin Xiao, Jian Li, Raouf-based pricing. In peak capping, each home is allocated an energy quota. In market-based pricing, the price of energy varies based on market supply-demand. Market-based This research was supported by World Class

Boutaba, Raouf

420

Testing residential energy pricing in the Krakow, Poland, municipal district heat system  

SciTech Connect (OSTI)

While understanding of the operation of the price and rebate mechanism may be imperfect in the United States, in Poland most of the necessary infrastructure simply does not exist. Of all the former Soviet-bloc countries, Poland has moved the quickest to a market economy; however, the stresses have been and continue to be significant, particularly on the pensioned. The energy sector of the economy is still centrally planned while the legal framework for a transition to a regulated market is created. Some utilities have made more rapid progress than others in the transition. This paper describes the first year of an experiment involving design, implementation, and analysis of a pilot pricing, conservation, and heating system control experiment in 264 apartments in four buildings. The results--and experience in the United States--will be used to guide the pricing decisions of the municipal district heat utility and the conservation and air quality strategies of the Krakow development authority. Development of a price incentive strategy involved considerations of public policy toward fixed-income occupants and ownership of energy metering. Thermostats were installed to permit occupant control, and building-level conservation and control techniques were implemented. Physical constraints required the use of German ``cost allocator`` metering technology at the apartment level. Final subsidy or ``pseudo-pricing`` design included-building-level incentives as well as apartment performance inducements. Results include insights on communication and cultural impacts and guidance for future testing as well as energy conservation effectiveness values.

Wisnewski, R.; Reeves, G. [George Reeves Associates, Inc., Lake Hopatcong, NJ (United States); Markiewicz, J. [Fundacja na Rzecz Efektywnego Wykorzystania Energii w Krakowie, Krakow (Poland)

1995-08-01T23:59:59.000Z

Note: This page contains sample records for the topic "futures market prices" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


421

Competition in a spatial retail petroleum market.  

E-Print Network [OSTI]

??This thesis examines the behaviour of retail petroleum markets, with a case study examining prices in Perth, Australia. The aim of the thesis is two-fold.… (more)

Wills-Johnson, Nick

2010-01-01T23:59:59.000Z

422

Advertising in Markets with Consumption Externalities.  

E-Print Network [OSTI]

??This paper extends the entry deterrence literature by examining coordinating advertising in markets with consumption externalities using a stochastic success function. Optimal advertising and pricing… (more)

Whelan, Adele

2014-01-01T23:59:59.000Z

423

Solar Energy Market Forecast | Open Energy Information  

Open Energy Info (EERE)

Solar Energy Market Forecast Solar Energy Market Forecast Jump to: navigation, search Tool Summary LAUNCH TOOL Name: Solar Energy Market Forecast Agency/Company /Organization: United States Department of Energy Sector: Energy Focus Area: Solar Topics: Market analysis, Technology characterizations Resource Type: Publications Website: giffords.house.gov/DOE%20Perspective%20on%20Solar%20Market%20Evolution References: Solar Energy Market Forecast[1] Summary " Energy markets / forecasts DOE Solar America Initiative overview Capital market investments in solar Solar photovoltaic (PV) sector overview PV prices and costs PV market evolution Market evolution considerations Balance of system costs Silicon 'normalization' Solar system value drivers Solar market forecast Additional resources"

424

47 Natural Gas Market Trends NATURAL GAS MARKET TRENDS  

E-Print Network [OSTI]

47 Natural Gas Market Trends Chapter 5 NATURAL GAS MARKET TRENDS INTRODUCTION Natural gas discusses current natural gas market conditions in California and the rest of North America, followed on the outlook for demand, supply, and price of natural gas for the forecasted 20-year horizon. It also addresses

425

Green Power Network: Green Pricing  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Table of Utility Programs by State Table of Utility Programs by State List of Utilities Offering Green Power Top Ten Utility Green Power Programs Green Power Marketing Green Certificates Carbon Offsets State Policies Green Pricing Green pricing is an optional utility service that allows customers an opportunity to support a greater level of utility company investment in renewable energy technologies. Participating customers pay a premium on their electric bills to cover the incremental cost of the additional renewable energy. To date, more than 860 utilities, including investor-owned, municipal utilities, and cooperatives, offer a green pricing option. Table of Utility Programs by State List of Utilities Offering Green Power Top Ten Utility Green Power Programs National Green Pricing Map

426

Winter Fuels Market Assessment 2000  

Gasoline and Diesel Fuel Update (EIA)

September 13, 2000 September 13, 2000 Winter Fuels Market Assessment 2000 09/14/2000 Click here to start Table of Contents Winter Fuels Market Assessment 2000 West Texas Intermediate Crude Oil Prices Perspective on Real Monthly World Oil Prices, 1976 - 2000 U.S. Crude Oil Stocks Total OECD Oil Stocks Distillate and Spot Crude Oil Prices Distillate Stocks Expected to Remain Low Distillate Stocks Are Important Part of East Coast Winter Supply Consumer Winter Heating Oil Costs Natural Gas Prices: Well Above Recent Averages Annual Real Natural Gas Prices by Sector End-of-Month Working Gas in .Underground Storage Residential Prices Do Not Reflect the Volatility Seen in Wellhead Prices Consumer Natural Gas Heating Costs Winter Weather Uncertainty Author: John Cook Email: jcook@eia.doe.gov

427

Charges, Costs and Market Power: the Deregulated UK Electricity Retail Market  

E-Print Network [OSTI]

of this paper, entitled Pricing Structures in the Deregulated UK Electricity Market. We are particularly for electricity, one of the basic utilities, on the date when the final price constraints were removed from1 Charges, Costs and Market Power: the Deregulated UK Electricity Retail Market Evens Salies

Boyer, Edmond

428

Dynamic Pricing of Perishable Assets under Competition Guillermo Gallego  

E-Print Network [OSTI]

other: equilibrium prices are resolved from a one-shot competitive game with the current-time demand challenges for airlines to profitably maintain pricing responsiveness to competitors' strategies. The real-time competitive pricing problem is further complicated by the fact that the aggregate market demands

Gallego, Guillermo

429

Optimal Time-of-Use Pricing For Residential Load Control  

E-Print Network [OSTI]

a novel algorithm for finding an optimum time-of-use electricity pricing in monopoly utility markets implementing a demand response strategy. Finally, the effect of demand response in electricity prices to changes in the price of electricity over time via incentive payments designed to induce lower electricity

Kumar, Sunil

430

Addressing the Level of Florida's Electricity Prices Theodore Kury1  

E-Print Network [OSTI]

Addressing the Level of Florida's Electricity Prices Theodore Kury1 Public of electricity prices by state changes over time due to a number of factors: · Investment decisions ratepayers; · Electric utilities also buy on the spot market and prices can fluctuate quickly when

Jawitz, James W.

431

POWER '99 Conference 1 Stochastic Models of Electricity Spot Price  

E-Print Network [OSTI]

spread call options. power spot price delivery at PV gas spot price SoCal system 8000 heat rate When power. When the spot market implied heat rate is below the unit operating heat rate, generator should1 POWER '99 Conference 1 Stochastic Models of Electricity Spot Price and their Applications Shijie

California at Berkeley. University of

432

Modelling spot and forward prices for energy companies  

E-Print Network [OSTI]

Modelling spot and forward prices for energy companies Dafydd Steele MSc Stochastics and Financial forward and spot prices for energy com- panies. The two main ways of modelling power prices are stochastic markets (coal, gas and power). The fundamental model is a mixed-integer programming stack model

Bhulai, Sandjai

433

Empirical Regularities of Asymmetric Pricing in the Gasoline Industry  

E-Print Network [OSTI]

Empirical Regularities of Asymmetric Pricing in the Gasoline Industry Marc Remer August 2, 2010 pricing in the retail gasoline industry, and also documents empirical regularities in the market. I find of asymmetric price movements in the retail gasoline industry. Yet, there is no general agreement as to whether

Niebur, Ernst

434

Towards Optimal Capacity Segmentation with Hybrid Cloud Pricing  

E-Print Network [OSTI]

and EC2 spot market. Furthermore, we formulate the optimal capacity segmentation strategy as a MarkovTowards Optimal Capacity Segmentation with Hybrid Cloud Pricing Wei Wang, Baochun Li, and Ben Liang markets with different service guarantees. For example, Amazon EC2 prices virtual instances under three

Li, Baochun

435

Mechanism Design for Capacity Allocation with Price Competition  

E-Print Network [OSTI]

. This paper examines the problem of mechanism design for capacity allocation in two connected markets whereMechanism Design for Capacity Allocation with Price Competition Masabumi Furuhata Intelligent-users in price competition. We consider the problems of how allocation mechanisms in the upstream market de

Zhang, Dongmo

436

MARKETING AND POLICY BRIEFING PAPER  

E-Print Network [OSTI]

MARKETING AND POLICY BRIEFING PAPER Department of Agricultural and Applied Economics, College recently been focused on retail fluid milk prices, especially in Northeastern markets. Based on alleged the "fairness" of marketing margins is a difficult task. There are unavoidable costs in selling milk. Some, like

Radeloff, Volker C.

437

Motor fuel prices in Turkey  

Science Journals Connector (OSTI)

Abstract The world?s most expensive motor fuel (gasoline, diesel and LPG) is sold most likely in the Republic of Turkey. This paper investigates the key issues related to the motor fuel prices in Turkey. First of all, the paper analyses the main reason behind high prices, namely motor fuel taxes in Turkey. Then, it estimates the elasticity of motor fuel demand in Turkey using an econometric analysis. The findings indicate that motor fuel demand in Turkey is quite inelastic and, therefore, not responsive to price increases caused by an increase in either pre-tax prices or taxes. Therefore, fuel market in Turkey is open to opportunistic behavior by firms (through excessive profits) and the government (through excessive taxes). Besides, the paper focuses on the impact of high motor fuel prices on road transport associated activities, including the pattern of passenger transportation, motorization rate, fuel use, total kilometers traveled and CO2 emissions from road transportation. The impact of motor fuel prices on income distribution in Turkey and Turkish public opinion about high motor fuel prices are also among the subjects investigated in the course of the study.

Erkan Erdogdu

2014-01-01T23:59:59.000Z

438

Charges, Costs and Market Power in the Deregulated UK Electricity Retail Market  

E-Print Network [OSTI]

by competitive forces in unregulated residential energy markets. We assess the competitiveness of the market: Energy: Pricing, Market Power Acknowledgements: We are grateful for financial support from the EconomicCharges, Costs and Market Power in the Deregulated UK Electricity Retail Market by Evens Salies

Feigon, Brooke

439

Role of nuclear fusion in future energy systems and the environment under future uncertainties  

Science Journals Connector (OSTI)

Debates about whether or not to invest heavily in nuclear fusion as a future innovative energy option have been made within the context of energy technology development strategies. This is because the prospects for nuclear fusion are quite uncertain and the investments therefore carry the risk of quite large regrets, even though investment is needed in order to develop the technology. The timeframe by which nuclear fusion could become competitive in the energy market has not been adequately studied, nor has roles of the nuclear fusion in energy systems and the environment. The present study has two objectives. One is to reveal the conditions under which nuclear fusion could be introduced economically (hereafter, we refer to such introductory conditions as breakeven prices) in future energy systems. The other objective is to evaluate the future roles of nuclear fusion in energy systems and in the environment. Here we identify three roles that nuclear fusion will take on when breakeven prices are achieved: (i) a portion of the electricity market in 2100, (ii) reduction of annual global total energy systems cost, and (iii) mitigation of carbon tax (shadow price of carbon) under CO2 constraints. Future uncertainties are key issues in evaluating nuclear fusion. Here we treated the following uncertainties: energy demand scenarios, introduction timeframe for nuclear fusion, capacity projections of nuclear fusion, CO2 target in 2100, capacity utilization ratio of options in energy/environment technologies, and utility discount rates. From our investigations, we conclude that the presently designed nuclear fusion reactors may be ready for economical introduction into energy systems beginning around 2050–2060, and we can confirm that the favorable introduction of the reactors would reduce both the annual energy systems cost and the carbon tax (the shadow price of carbon) under a CO2 concentration constraint.

Koji Tokimatsu; Jun’ichi Fujino; Satoshi Konishi; Yuichi Ogawa; Kenji Yamaji

2003-01-01T23:59:59.000Z

440

Bilateral Negotiation in a Multi-Agent Energy Market  

Science Journals Connector (OSTI)

Energy markets are systems for effecting the purchase and ... demand to set the price. A typical energy market involves a wholesale market for electricity generation, when competing generators offer ... electrici...

Fernando Lopes; A. Q. Novais; Helder Coelho

2009-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "futures market prices" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


441

Factors Affecting Cotton Producers' Choice of Marketing Outlet  

E-Print Network [OSTI]

In recent years, changes in government policies, supply and demand fundamentals and price patterns in the cotton market have led to several shifts in how producers market their cotton. This thesis examined producer cash marketing choices, including...

Pace, Jason 1979-

2012-08-16T23:59:59.000Z

442

Private and public discrepancy : the anatomy of valuation in market  

E-Print Network [OSTI]

The popular explanations of market bubbles, based on the classical economic assumption that market prices incorporate market participants' private valuations, argue that bubbles are caused by the collective delusion of ...

Zhang, Jiayin

2014-01-01T23:59:59.000Z

443

Energy Efficiency in Regulated and Deregulated Markets  

E-Print Network [OSTI]

at 274. 10. Id. 11. Id. ENERGY EFFICIENCY relative to market2002). 19. See id. at 204-205. ENERGY EFFICIENCY prices,it renders energy efficiency less attractive. In a market

Rotenberg, Edan

2005-01-01T23:59:59.000Z

444

Impact of Natural Gas Price Decontrol on Gas Supply, Demand and Prices  

E-Print Network [OSTI]

is increasingly supplemented by supplies from coal gasification, Alaska, unconventional sources, LNG, Canada, and Mexico. At the same time, however, gas demand is characterized by price-induced conservation in all markets, together with continuing gas demand...

Schlesinger, B.

1982-01-01T23:59:59.000Z

445

The Northeast heating fuel market: Assessment and options  

SciTech Connect (OSTI)

In response to a Presidential request, this study examines how the distillate fuel oil market (and related energy markets) in the Northeast behaved in the winter of 1999-2000, explains the role played by residential, commercial, industrial, and electricity generation sector consumers in distillate fuel oil markets and describes how that role is influenced by the structure of tie energy markets in the Northeast. In addition, this report explores the potential for nonresidential users to move away from distillate fuel oil and how this might impact future prices, and discusses conversion of distillate fuel oil users to other fuels over the next 5 years. Because the President's and Secretary's request focused on converting factories and other large-volume users of mostly high-sulfur distillate fuel oil to other fuels, transportation sector use of low-sulfur distillate fuel oil is not examined here.

None

2000-07-01T23:59:59.000Z

446

Public Comment re Price-Anderson Act | Department of Energy  

Broader source: Energy.gov (indexed) [DOE]

Comment re Price-Anderson Act Comment re Price-Anderson Act Public Comment re Price-Anderson Act Preparation of Report to Congress on Price-Anderson Act. The Price Anderson Act should be eliminated. The Price Anderson Act assumes that the encouragement and growth of the commercial nuclear industry is in the public interest. It is not. Rational evaluation of the commercial nuclear industry forces the conclusion that the Price Anderson Act simply shields the commercial nuclear industry from costs that it would otherwise, in a fair market setting, be forced to internalize and pay. Price Anderson amounts to corporate welfare that has already caused a massive disruption of energy markets, and the abusiveness enabled by this welfare system threatens to dislodge society from its ecological as

447

Trends in Utility Green Pricing Programs (2005)  

Broader source: Energy.gov [DOE]

This report presents year-end 2005 data on utility green pricing programs, and examines trends in consumer response and program implementation over time. The data in this report, which were obtained via a questionnaire distributed to utility green pricing program managers, can be used by utilities to benchmark the success of their green power programs. It is important to note that this report covers only a portion of voluntary markets for renewable energy. It does not cover green power sold by independent marketers except for cases in which the marketers work in conjunction with utilities or default electricity suppliers.

448

Economics of Plant Energy Savings Projects in a Changing Market  

E-Print Network [OSTI]

Energy prices have exhibited significant volatility in recent years. For example, natural gas prices ranged from $4 to $15 per MM BTU's in calendar years 2005 through 2011. Future prices are uncertain but are likely to retain a high level...

White, D. C.

2011-01-01T23:59:59.000Z

449

Energy Spot Price Models and Spread Options Pricing Samuel Hikspoors and Sebastian Jaimungal a  

E-Print Network [OSTI]

). The world wide energy commodities markets have created a need for a deeper quan- titative understandingEnergy Spot Price Models and Spread Options Pricing Samuel Hikspoors and Sebastian Jaimungal a a Department of Statistics and Mathematical Finance Program, University of Toronto, 100 St. George Street

Jaimungal, Sebastian

450

DOCUMENTS DE TRAVAIL -WORKING PAPERS Testing Optimal Punishment Mechanisms under Price  

E-Print Network [OSTI]

of market studies indicating that "major Canadian oil companies were going to use price wars, new creditDOCUMENTS DE TRAVAIL - WORKING PAPERS W.P. 06-11 Testing Optimal Punishment Mechanisms under Price under Price Regulation: the Case of the Retail Market for Gasoline By Robert Gagné* , HEC Montréal, CRT

Paris-Sud XI, Université de

451

Retrospective Evaluation of Appliance Price Trends  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Evaluation of Appliance Price Trends Evaluation of Appliance Price Trends Title Retrospective Evaluation of Appliance Price Trends Publication Type Journal Article Year of Publication 2009 Authors Dale, Larry L., Camille Antinori, Michael A. McNeil, James E. McMahon, and Sydny K. Fujita Journal Energy Policy Volume 37 Issue 2 Pagination 597-605 Date Published November 20 Keywords appliance efficiency standards, price forecasts, EES-EG Abstract Real prices of major appliances (refrigerators, dishwashers, heating and cooling equipment) have been falling since the late 1970s despite increases in appliance efficiency and other quality variables. This paper demonstrates that historic increases in efficiency over time, including those resulting from minimum efficiency standards, incur smaller price increases than were expected by the Department of Energy (DOE) forecasts made in conjunction with standards. This effect can be explained by technological innovation, which lowers the cost of efficiency, and by market changes contributing to lower markups and economies of scale in production of higher efficiency units. We reach four principal conclusions about appliance trends and retail price setting:1. For the past several decades, the retail price of appliances has been steadily falling while efficiency has been increasing.2. Past retail price predictions made by the DOE analyses of efficiency standards, assuming constant prices over time, have tended to overestimate retail prices.3. The average incremental price to increase appliance efficiency has declined over time. DOE technical support documents have typically overestimated this incremental price and retail prices.4. Changes in retail markups and economies of scale in production of more efficient appliances may have contributed to declines in prices of efficient appliances.

452

Understanding Crude Oil Prices  

E-Print Network [OSTI]

2004. “OPEC’s Optimal Crude Oil Price,” Energy Policy 32(2),percent change in real oil price. Figure 3. Price of crude023 Understanding Crude Oil Prices James D. Hamilton June

Hamilton, James Douglas

2008-01-01T23:59:59.000Z

453

Understanding Crude Oil Prices  

E-Print Network [OSTI]

2004. “OPEC’s Optimal Crude Oil Price,” Energy Policy 32(2),percent change in real oil price. Figure 3. Price of crudein predicting quarterly real oil price change. variable real

Hamilton, James Douglas

2008-01-01T23:59:59.000Z

454

Natural Gas Wellhead Price  

U.S. Energy Information Administration (EIA) Indexed Site

Quantity of Production Imputed Wellhead Value Wellhead Price Marketed Production Period: Monthly Annual Quantity of Production Imputed Wellhead Value Wellhead Price Marketed Production Period: Monthly Annual Download Series History Download Series History Definitions, Sources & Notes Definitions, Sources & Notes Show Data By: Data Series Area 2007 2008 2009 2010 2011 2012 View History U.S. 6.25 7.97 3.67 4.48 3.95 2.66 1922-2012 Alabama 7.44 9.65 4.32 4.46 1967-2010 Alaska 5.63 7.39 2.93 3.17 1967-2010 Arizona 5.98 7.09 3.19 4.11 1967-2010 Arkansas 6.61 8.72 3.43 3.84 1967-2010 California 6.62 8.38 3.96 4.87 1967-2010 Colorado 4.57 6.94 3.21 3.96 1967-2010 Florida NA NA NA NA 1967-2010 Illinois NA NA NA NA 1967-2010 Indiana 5.78 7.58 4.05 4.13 1967-2010

455

A NON-GAUSSIAN ORNSTEIN-UHLENBECK PROCESS FOR ELECTRICITY SPOT PRICE MODELING AND  

E-Print Network [OSTI]

A NON-GAUSSIAN ORNSTEIN-UHLENBECK PROCESS FOR ELECTRICITY SPOT PRICE MODELING AND DERIVATIVES for analytical pricing of electricity forward and futures contracts. Electricity forward and futures contracts to capture the observed dynamics of electricity spot prices. We also discuss the pricing of European call

Kallsen, Jan

456

Microsoft Word - Price Uncertainty Supplement.doc  

Gasoline and Diesel Fuel Update (EIA)

0 0 1 September 2010 Short-Term Energy Outlook Energy Price Volatility and Forecast Uncertainty 1 September 8, 2010 Release Crude Oil Prices. West Texas Intermediate (WTI) crude oil spot prices averaged about $77 per barrel in August 2010, very close to the July average, but $3 per barrel lower than projected in last month's Outlook. WTI spot prices averaged almost $82 per barrel over the first 10 days of August but then fell by $9 per barrel over the next 2 weeks as the market reacted to a series of reports of a stumbling economic recovery. EIA has lowered its average fourth quarter 2010 WTI spot price forecast to $77 per barrel, compared with $81 in last month's Outlook. WTI spot prices are projected to

457

Short-Term World Oil Price Forecast  

Gasoline and Diesel Fuel Update (EIA)

4 4 Notes: This graph shows monthly average spot West Texas Intermediate crude oil prices. Spot WTI crude oil prices peaked last fall as anticipated boosts to world supply from OPEC and other sources did not show up in actual stocks data. So where do we see crude oil prices going from here? Crude oil prices are expected to be about $28-$30 per barrel for the rest of this year, but note the uncertainty bands on this projection. They give an indication of how difficult it is to know what these prices are going to do. Also, EIA does not forecast volatility. This relatively flat forecast could be correct on average, with wide swings around the base line. Let's explore why we think prices will likely remain high, by looking at an important market barometer - inventories - which measures the

458

Retail Heating Oil and Diesel Fuel Prices  

Gasoline and Diesel Fuel Update (EIA)

9 9 Notes: Because of the higher projected crude oil prices and because of increased tightening in the Northeast heating oil market since the last Outlook, we now expect prices this winter for residential heating oil deliveries to peak at about $1.52 per gallon in January. This is significantly above the monthly peak reached last winter. Because these figures are monthly averages, we expect some price movements for a few days to be above the values shown on the graph. This winter's expected peak price would be the highest on record in nominal terms, eclipsing the high set in February 2000. However, in real (constant dollar) terms, both of these prices remain well below the peak reached in March 1981, when the average residential heating oil price was $1.29 per gallon, equivalent to over $2.50 per gallon today.

459

Microsoft Word - Price Uncertainty Supplement.doc  

Gasoline and Diesel Fuel Update (EIA)

November 2010 November 2010 Short-Term Energy Outlook Energy Price Volatility and Forecast Uncertainty 1 November 9, 2010 Release Crude Oil Prices. WTI crude oil spot prices averaged almost $82 per barrel in October, about $7 per barrel higher than the September average, as expectations of higher oil demand pushed up prices. EIA has raised the average fourth quarter 2010 WTI spot price forecast to about $83 per barrel compared with $79 per barrel in last monthʹs Outlook. WTI spot prices rise to $87 per barrel by the fourth quarter of next year. Projected WTI prices average $79 per barrel in 2010 and $85 per barrel in 2011. WTI futures for January 2011 delivery (for the 5-day period ending November 4)

460

Microsoft Word - Price Uncertainty Supplement.doc  

Gasoline and Diesel Fuel Update (EIA)

0 0 1 July 2010 Short-Term Energy Outlook Energy Price Volatility and Forecast Uncertainty 1 July 7, 2010 Release Crude Oil Prices. WTI crude oil spot prices averaged $75.34 per barrel in June 2010 ($1.60 per barrel above the prior month's average), close to the $76 per barrel projected in the forecast in last month's Outlook. EIA projects WTI prices will average about $79 per barrel over the second half of this year and rise to $84 by the end of next year (West Texas Intermediate Crude Oil Price Chart). Energy price forecasts are highly uncertain, as history has shown (Energy Price Volatility and Forecast Uncertainty). WTI futures for September 2010 delivery for the

Note: This page contains sample records for the topic "futures market prices" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


461

Performance, Market and Manufacturing Constraints relevant to the Industrialization of Thermoelectric Devices  

Broader source: Energy.gov [DOE]

Market pricing of thermoelectric raw materials and processing, cost of manufacture of devices and systems constraints on the viability of a mass market thermoelectric product are discussed

462

Electricity Market Module  

Gasoline and Diesel Fuel Update (EIA)

This page inTenTionally lefT blank 91 U.S. Energy Information Administration | Assumptions to the Annual Energy Outlook 2012 Electricity Market Module The NEMS Electricity Market Module (EMM) represents the capacity planning, dispatching, and pricing of electricity. It is composed of four submodules-electricity capacity planning, electricity fuel dispatching, electricity load and demand, and electricity finance and pricing. It includes nonutility capacity and generation, and electricity transmission and trade. A detailed description of the EMM is provided in the EIA publication, Electricity Market Module of the National Energy Modeling System 2012, DOE/EIA-M068(2012). Based on fuel prices and electricity demands provided by the other modules of the NEMS, the EMM determines the most

463

Petroleum Marketing Annual 2009  

Gasoline and Diesel Fuel Update (EIA)

Petroleum Marketing Annual 2009 Petroleum Marketing Annual 2009 Released: August 6, 2010 Monthly price and volume statistics on crude oil and petroleum products at a national, regional and state level. Notice: Changes to EIA Petroleum Data Program Petroleum Marketing Annual --- Full report in PDF (1.2 MB) Previous Issues --- Previous reports are available on the historical page. Summary Statistics Summary Statistics Tables PDF 1 Crude Oil Prices PDF TXT 1A Refiner Acquisition Cost of Crude Oil by PAD Districts HTML PDF TXT 2 U.S. Refiner Prices of Petroleum Products to End Users HTML PDF TXT 3 U.S. Refiner Volumes of Petroleum Products to End Users PDF TXT Motor Gasoline to End Users HTML Residual Fuel Oil and No. 4 Fuel to End Users HTML Other Petroleum Products to End Users HTML

464

Electricity Market Module  

Gasoline and Diesel Fuel Update (EIA)

This page intentionally left blank This page intentionally left blank 95 U.S. Energy Information Administration | Assumptions to the Annual Energy Outlook 2011 Electricity Market Module The NEMS Electricity Market Module (EMM) represents the capacity planning, dispatching, and pricing of electricity. It is composed of four submodules-electricity capacity planning, electricity fuel dispatching, electricity load and demand, and electricity finance and pricing. It includes nonutility capacity and generation, and electricity transmission and trade. A detailed description of the EMM is provided in the EIA publication, Electricity Market Module of the National Energy Modeling System 2011, DOE/EIA-M068(2011). Based on fuel prices and electricity demands provided by the other modules of the NEMS, the EMM determines the most

465

A STRUCTURAL MODEL FOR ELECTRICITY PRICES RENE CARMONA, MICHAEL COULON, AND DANIEL SCHWARZ  

E-Print Network [OSTI]

A STRUCTURAL MODEL FOR ELECTRICITY PRICES RENE CARMONA, MICHAEL COULON, AND DANIEL SCHWARZ Abstract pricing in electricity markets, thus extending the growing branch of liter- ature which describes power prices for electricity. We capture both the heavy-tailed nature of spot prices and the complex dependence

Carmona, Rene

466

Pricing mechanisms for offshore wind electricity in EU member states  

Science Journals Connector (OSTI)

The aim of the study was to evaluate the pricing mechanisms for offshore wind electricity in those EU Member States (MS) possessing an important offshore wind resource and, on this basis, to determine the economic scenario faced by potential investors in the sector. The economic and energy policy framework of each MS was reviewed to establish the main factors determining the final price accorded to electricity generated from offshore wind, including feed-in tariffs, green certificates, subsidies, tax incentives and taking into consideration other factors such as costs and obligations related to grid connection and transmission. On the basis of the information collected, an economic analysis was conducted to compare offshore wind electricity prices across the EU, for a 20-year project duration, based on a year 2001 ''snapshot'' for a typical ''first generation'' offshore wind project. The policy review showed a variety of economic frameworks in existence across the EU, with some countries choosing fixed tariff schemes as the primary instrument and others using market-based systems such as green certificates. However, it was clear that several MS are moving away from the system based solely on fixed tariffs to incorporate more market-based schemes. The economic analysis showed that, on the basis of fixed tariffs and assuming uniform investment costs across EU waters, conditions are most favourable in Belgium (proposed legislation) and Germany. It is thought that, in future, market-oriented schemes and predictability tools will play an increasingly important role in determining the economic conditions faced by offshore wind electricity producers. It should be noted that the analyses presented in this paper are based on the economic and legislatory situations in existence at the time of writing, that is, December, 2001.

Geert Palmers; Suzanne Shaw

2002-01-01T23:59:59.000Z

467

Market power analysis in electricity markets using supply function equilibrium model  

Science Journals Connector (OSTI)

......market operator aggregates the supply and demand bid curves to determine market clearing prices as well as the corresponding supply and demand schedules. In our model, we do not consider the demand side bidding because the load is almost inelastic......

Tao Li; Mohammad Shahidehpour; Ali Keyhani

2004-10-01T23:59:59.000Z

468

Marketing Milk Under Federal Orders in Texas.  

E-Print Network [OSTI]

, but not excessive, supply to meet the demands of the market-including the necessary reserve supply -that is, at economic values. Milk marketing history has shown that supply or demand char- acteristics, or the general level of prices can !3 - TABLE 4. PERCENT... specifies that milk prices are e i reported paid or to be paid for milk oil based on 4 percent butterfat, it to convert the price announced cent butterfat milk to a value per huna? weight for 4.0 percent milk. The art:] price reported to the market...

Stelly, Randall

1960-01-01T23:59:59.000Z

469

Gasoline Price Differences Caused by:  

Gasoline and Diesel Fuel Update (EIA)

0 0 Notes: While my agency cannot be expert in every local gasoline market in the United States, we are familiar with a number of factors that can account for significant differences in prices between markets: Proximity of supply - distance from the refineries supplying the local market. Additionally, the proximity of those refineries to crude oil supplies can be a factor, as well as shipping logistics, including pipeline or waterborne, from refinery to market. Cost of supply - including crude oil, refinery operating, and transportation costs. Supply/demand balance - some regions are typically in excess or short supply, while others may vary seasonally, or when supply interruptions (such as refinery shutdowns) occur. Competitive environment - including the number of suppliers, and the

470

Communication impacting financial markets  

E-Print Network [OSTI]

Behavioral finance has become an increasingly important subfield of finance. However the main parts of behavioral finance, prospect theory included, understand financial markets through individual investment behavior. Behavioral finance thereby ignores any interaction between participants. We introduce a socio-financial model that studies the impact of communication on the pricing in financial markets. Considering the simplest possible case where each market participant has either a positive (bullish) or negative (bearish) sentiment with respect to the market, we model the evolution of the sentiment in the population due to communication in subgroups of different sizes. Nonlinear feedback effects between the market performance and changes in sentiments are taking into account by assuming that the market performance is dependent on changes in sentiments (e.g. a large sudden positive change in bullishness would lead to more buying). The market performance in turn has an impact on the sentiment through the trans...

Andersen, Jorgen Vitting; Dellaportas, Petros; Galam, Serge

2014-01-01T23:59:59.000Z

471

Volatility regimes, asymmetric basis effects and forecasting performance: An empirical investigation of the WTI crude oil futures market  

Science Journals Connector (OSTI)

This study employs a flexible regime-switching EGARCH model with Student-t distributed error terms to investigate whether volatility regimes and basis affect the behavior of crude oil futures returns, including the conditional mean, variance, skewness, kurtosis as well as the extent of heavy-tailedness. The study also examines whether volatility regimes and asymmetric basis effects can improve the forecasting accuracy. The main merit of the empirical model is that the basis effect is allowed to be asymmetric and to vary across volatility regimes. Empirical results suggest that the conditional mean and variance respond to the basis asymmetrically and nonlinearly, and that the responses of transition probabilities to the basis are symmetric. Furthermore, the conditional higher moments are sensitive to the absolute value of basis, and the heavy tailed characteristic can be greatly alleviated by taking into account the asymmetric basis effects and regime switches. Finally, the regime switches and asymmetric basis effects play decisive roles in forecasting return, volatility and tail distribution.

Kuang-Liang Chang

2012-01-01T23:59:59.000Z

473

EIA - Special Report 8/29/05 - Hurricane Katrina's Impact on Oil Markets  

U.S. Energy Information Administration (EIA) Indexed Site

the U.S. Oil Market the U.S. Oil Market Hurricane Katrina's Impact on the U.S. Oil Market As of 3:00 pm, Monday, August 29 --SEE MOST RECENT-- According to the Minerals Management Service (MMS), Gulf of Mexico oil production was reduced by about 1.4 million barrels per day as a result of Hurricane Katrina. The MMS also reported that 8.3 billion cubic feet per day of natural gas production was shut in. The Louisiana Offshore Oil Port (LOOP) stopped making shipments to onshore facilities as of Saturday, and was supplying its customers with oil stored onshore. However, even these operations were stopped on Sunday in order to give employees time to evacuate. Typically, about 1 million barrels per day goes through the LOOP. As of the close of trading on Monday, the WTI futures price was $67.20, up $1.07 per barrel from Friday's closing price, while gasoline and heating oil futures prices were up 14.4 and 7.2 cents respectively from Friday's closing prices.

474

Modelling spikes and pricing swing options in electricity Ben Hambly Sam Howison Tino Kluge  

E-Print Network [OSTI]

Modelling spikes and pricing swing options in electricity markets Ben Hambly Sam Howison Tino Kluge of electricity markets is the formation of price spikes which are caused when the maximum supply and current April 24, 2007 Abstract Most electricity markets exhibit high volatilities and occasional distinctive

Howison, Sam

475

Petroleum Marketing Annual 2009  

Gasoline and Diesel Fuel Update (EIA)

Released: August 6, 2010 Released: August 6, 2010 Notice: Price data for petroleum products will be changed from cents per gallon to dollars per gallon later this year for the 2010 data. Petroleum Marketing Annual --- Full report in PDF (1.2 MB) Summary Statistics Summary Statistics Tables PDF 1 Crude Oil Prices PDF TXT 1A Refiner Acquisition Cost of Crude Oil by PAD Districts PDF TXT 2 U.S. Refiner Prices of Petroleum Products to End Users PDF TXT 3 U.S. Refiner Volumes of Petroleum Products to End Users PDF TXT 4 U.S. Refiner Prices of Petroleum Products for Resale PDF TXT 5 U.S. Refiner Volumes of Petroleum Products for Resale PDF TXT 6 U.S. Refiner Motor Gasoline Prices by Grade and Sales Type PDF TXT 7 U.S. Refiner Motor Gasoline Volumes by Grade and Sales Type PDF TXT

476

Petroleum Marketing Annual 2007  

Gasoline and Diesel Fuel Update (EIA)

7 7 Released: August 29, 2008 Petroleum Marketing Annual --- Full report in PDF (1.2 MB) Summary Statistics Summary Statistics Tables PDF 1 Crude Oil Prices PDF TXT 1A Refiner Acquisition Cost of Crude Oil by PAD Districts PDF TXT 2 U.S. Refiner Prices of Petroleum Products to End Users PDF TXT 3 U.S. Refiner Volumes of Petroleum Products to End Users PDF TXT 4 U.S. Refiner Prices of Petroleum Products for Resale PDF TXT 5 U.S. Refiner Volumes of Petroleum Products for Resale PDF TXT 6 U.S. Refiner Motor Gasoline Prices by Grade and Sales Type PDF TXT 7 U.S. Refiner Motor Gasoline Volumes by Grade and Sales Type PDF TXT 8 U.S. Refiner Conventional Motor Gasoline Prices by Grade and Sales Type PDF TXT 9 U.S. Refiner Conventional Motor Gasoline Volumes by Grade and Sales Type PDF TXT

477

Petroleum Marketing Annual 2008  

Gasoline and Diesel Fuel Update (EIA)

8 8 Released: August 27, 2009 Petroleum Marketing Annual --- Full report in PDF (1.2 MB) Summary Statistics Summary Statistics Tables PDF 1 Crude Oil Prices PDF TXT 1A Refiner Acquisition Cost of Crude Oil by PAD Districts PDF TXT 2 U.S. Refiner Prices of Petroleum Products to End Users PDF TXT 3 U.S. Refiner Volumes of Petroleum Products to End Users PDF TXT 4 U.S. Refiner Prices of Petroleum Products for Resale PDF TXT 5 U.S. Refiner Volumes of Petroleum Products for Resale PDF TXT 6 U.S. Refiner Motor Gasoline Prices by Grade and Sales Type PDF TXT 7 U.S. Refiner Motor Gasoline Volumes by Grade and Sales Type PDF TXT 8 U.S. Refiner Conventional Motor Gasoline Prices by Grade and Sales Type PDF TXT 9 U.S. Refiner Conventional Motor Gasoline Volumes by Grade and Sales Type PDF TXT

478

Are oil prices going to remain volatile?  

Science Journals Connector (OSTI)

For numerous planning problems in industrial but also in private management the expectation of future energy prices remains a crucial parameter. On the basis ... a comprehensive demand/supply model for the world

Dr. F. Wirl

1985-04-01T23:59:59.000Z

479

Automobile Prices, Gasoline Prices, and Consumer Demand for Fuel Economy  

E-Print Network [OSTI]

Automobile Prices, Gasoline Prices, and Consumer Demand for Fuel Economy Ashley Langer University evidence that automobile manufacturers set vehicle prices as if consumers respond to gasoline prices. We consumer preferences for fuel efficiency. Keywords: automobile prices, gasoline prices, environmental

Sadoulet, Elisabeth

480

Abstract--This doctoral thesis presents a methodological framework which integrates, in a uniform way, a number of important parameters that influence the prices of telecommunications  

E-Print Network [OSTI]

way, a number of important parameters that influence the prices of telecommunications products and services. Given the above methodological framework, significant problems of telecommunication market to the construction of price indices in the telecommunications market. The design of networks together

Kouroupetroglou, Georgios

Note: This page contains sample records for the topic "futures market prices" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


481

Natural Gas Spot Price Outlook  

Gasoline and Diesel Fuel Update (EIA)

7 of 17 7 of 17 Notes: Despite signs that domestic natural gas production has begun to turn around (the Texas Railroad Commission now reports year-to-date (through Sep.) gains in Texas gas production of 1.2 percent, compared to a 4.7-percent decline for the same months in 1999 versus 1998) the reality of the U.S. gas market is that supply responses have been too little, too late to prevent record-high spot prices and prospects for very high average prices this winter. We now expect to see peak monthly spot wellhead prices this winter of over $6.00 per thousand cubic feet (mcf) (December). Last month we maintained confidence that conditions would improve enough to keep the $5.10 per mcf recorded in October as the peak for this heating season. With partial data available, a monthly average value of about $5.60 per mcf looks likely for

482

Volatility in natural gas and oil markets  

E-Print Network [OSTI]

Using daily futures price data, I examine the behavior of natural gas and crude oil price volatility since 1990. I test whether there has been a significant trend in volatility, whether there was a short-term increase in ...

Pindyck, Robert S.

2003-01-01T23:59:59.000Z

483

Electricity price modeling and asset valuation: a multi-fuel structural approach  

Science Journals Connector (OSTI)

We introduce a new and highly tractable structural model for spot and derivative prices in electricity markets. Using a stochastic model ... we translate the demand for power and the prices of generating fuels in...

René Carmona; Michael Coulon; Daniel Schwarz

2013-03-01T23:59:59.000Z

484

Different Factors Impact Different Aspects of Gasoline Price  

Gasoline and Diesel Fuel Update (EIA)

1 1 Notes: In order to illustrate and quantify, to a large extent, the various market forces driving gasoline prices, we begin by decomposing those factors according to their location within the supply chain, i.e., the international crude market, U.S. wholesale gasoline markets, and the retail segment. Historically, variation in gasoline prices usually stems from changes in crude oil prices. As the major feedstock in the production of gasoline, shifts in the balance between supply and demand in crude markets explain a large portion of observed movements at the retail level. But shifts in the wholesale gasoline supply/demand balance also contribute to price pressure or movements at both the wholesale and retail levels beyond that stemming from crude oil markets.

485

An evaluation of product formulas as an alternative to the Minnesota-Wisconsin price series  

E-Print Network [OSTI]

price used is known as the Minaesota-Wisconsin (M-W) price serieL The M-W price is the estimated average price paid for grade B milk by plants in Minnesota and Wisconsin. The M-W price is intended to reflect a market-determined price for milk used... is the estimated average plant cost to process a cwt of milk into various manufactured dairy products. As of December 1956, 84 percent of the orders used a product price formula as a factor for pricing migt in excess of fluid needs, and 25 percent used a product...

Keough, Mary J

2012-06-07T23:59:59.000Z

486

U.S. Distillate Market  

Gasoline and Diesel Fuel Update (EIA)

diesel and heating fuel prices diesel and heating fuel prices surged. The largest increases occurred in the distillate-based fuels (heating oil and diesel) in the Northeast. The main factors driving up these prices were low stocks leading into January, followed by a bout of severe weather that impacted both supply and demand. Warmer weather and the arrival of new supply, mainly imports, relieved the supply/demand imbalance and brought prices back down. The spike is now behind us, but high crude prices are keeping prices above year-ago levels. The low stock situation that set the stage for the distillate price spike was not unique to the United States, Low stocks exist worldwide and are not limited to distillate. The low stock situation stems from what is happening in the crude oil markets. A crude oil supply shortage drove crude

487

Chapter 4. Participating in Markets for Electrical Energy  

E-Print Network [OSTI]

Chapter 4. Participating in Markets for Electrical Energy 1 #12;Previously: we have discussed on the wholesale market and sell it a fixed price at the retail level. The quantity-weighted average price at which the basic principles of electricity markets. Now: we discuss the decisions that generators, consumers

Ernst, Damien

488

Page 1 of 1 Price list for the NORTEM facilities  

E-Print Network [OSTI]

Page 1 of 1 Price list for the NORTEM facilities 1. April 2013 ­ 31. March 2014 The following prices apply to all activities from April 1st 2013, and should be used as a basis for applications for future funding. The price list is preliminary, changes should be expected when the full NORTEM running

Johansen, Tom Henning

489

Natural Gas Wellhead Price  

U.S. Energy Information Administration (EIA) Indexed Site

Pipeline and Distribution Use Price City Gate Price Residential Price Percentage of Total Residential Deliveries included in Prices Commercial Price Percentage of Total Commercial Deliveries included in Prices Industrial Price Percentage of Total Industrial Deliveries included in Prices Vehicle Fuel Price Electric Power Price Period: Monthly Annual Pipeline and Distribution Use Price City Gate Price Residential Price Percentage of Total Residential Deliveries included in Prices Commercial Price Percentage of Total Commercial Deliveries included in Prices Industrial Price Percentage of Total Industrial Deliveries included in Prices Vehicle Fuel Price Electric Power Price Period: Monthly Annual Download Series History Download Series History Definitions, Sources & Notes Definitions, Sources & Notes Show Data By: Data Series Area 2007 2008 2009 2010 2011 2012 View History U.S. 6.25 7.97 3.67 4.48 3.95 2.66 1922-2012 Alabama 7.44 9.65 4.32 4.46 1967-2010 Alaska 5.63 7.39 2.93 3.17 1967-2010 Arizona 5.98 7.09 3.19 4.11 1967-2010 Arkansas

490

Eric S. Schubert is a Senior Market Economist at the Wholesale Market Oversight of the Public  

E-Print Network [OSTI]

establishes an Energy-Only resource adequacy mechanism in the ERCOT electricity market, relaxes the $1,000 per and Shmuel Oren I. Introduction The energy market posts a real- time clearing price of $1,000 per MWhEric S. Schubert is a Senior Market Economist at the Wholesale Market Oversight of the Public

Oren, Shmuel S.

491

PRICE GOUGING | Department of Energy  

Broader source: Energy.gov (indexed) [DOE]

PRICE GOUGING PRICE GOUGING PRICE GOUGING More Documents & Publications PRICE GOUGING Department of Energy Response to Hurricane Katrina Fact Sheet Department of Energy Response to...

492

Markets & Finance - Analysis & Projections - U.S. Energy Information  

Gasoline and Diesel Fuel Update (EIA)

Most Requested Most Requested Change category... Most Requested Electricity Financial Markets Financial Reporting System All Reports Filter by: All Data Analysis Projections Weekly Reports Today in Energy - Markets & Finance Short, timely articles with graphs about recent issues and trends in financial markets Monthly Reports Market Prices and Uncertainty Report Released: January 7, 2014 This is a regular monthly supplement to the EIA Short-Term Energy Outlook. (archived versions) Archived Versions Market Prices and Uncertainty Report - Archive Energy & Financial Markets: What Drives Crude Oil Prices? Released: December 14, 2011 An assessment of the various factors that may influence oil prices - physical market factors as well as those related to trading and financial

493

Microsoft Word - Price Uncertainty Supplement.doc  

Gasoline and Diesel Fuel Update (EIA)

October 2010 October 2010 Short-Term Energy Outlook Energy Price Volatility and Forecast Uncertainty 1 October 13, 2010 Release Crude Oil Prices. WTI oil prices averaged $75 per barrel in September but rose above $80 at the end of the month and into early October. EIA has raised the average fourth- quarter 2010 forecasted WTI spot price to $79 per barrel compared with $77 per barrel in last monthʹs Outlook. WTI spot prices are projected to rise to $85 per barrel by the fourth quarter of next year. As has been the case for most of 2010, WTI futures traded with a notable lack of volatility during the third quarter of 2010 (Figure 1). However, prices did bounce in

494

Microsoft Word - Price Uncertainty Supplement.doc  

Gasoline and Diesel Fuel Update (EIA)

December 2010 Short-Term Energy Outlook Energy Price Volatility and Forecast Uncertainty 1 December 7, 2010 Release Crude Oil Prices. West Texas Intermediate (WTI) crude oil spot prices averaged over $84 per barrel in November, more than $2 per barrel higher than the October average. EIA has raised the average winter 2010-2011 period WTI spot price forecast by $1 per barrel from the last monthʹs Outlook to $84 per barrel. WTI spot prices rise to $89 per barrel by the end of next year, $2 per barrel higher than in the last Outlook. Projected WTI prices average $79 per barrel in 2010 and $86 per barrel in 2011. WTI futures for February 2011 delivery during the 5-day period ending December 2

495

EIA - Analysis of Natural Gas Prices  

Gasoline and Diesel Fuel Update (EIA)

Prices Prices 2010 Peaks, Plans and (Persnickety) Prices This presentation provides information about EIA's estimates of working gas peak storage capacity, and the development of the natural gas storage industry. Natural gas shale and the need for high deliverability storage are identified as key drivers in natural gas storage capacity development. The presentation also provides estimates of planned storage facilities through 2012. Categories: Prices, Storage (Released, 10/28/2010, ppt format) Natural Gas Year-In-Review 2009 This is a special report that provides an overview of the natural gas industry and markets in 2009 with special focus on the first complete set of supply and disposition data for 2009 from the Energy Information Administration. Topics discussed include natural gas end-use consumption trends, offshore and onshore production, imports and exports of pipeline and liquefied natural gas, and above-average storage inventories. Categories: Prices, Production, Consumption, Imports/Exports & Pipelines, Storage (Released, 7/9/2010, Html format)

496

M&PBP #81 Page 1 of 11 MARKETING AND POLICY  

E-Print Network [OSTI]

.8100 Instant 0.9625 Source: Dairy Market News. Historical data on price support levels and CCC purchase prices, University of Wisconsin-Extension Paper No, 81 March 2003 Flooring the Support Price for Milk Ed Jesse1 Price Support Background The Dairy Price Support Program has operated continuously since 1949 to maintain

Radeloff, Volker C.

497

Transportation Energy Futures Series: Projected Biomass Utilization...  

Office of Scientific and Technical Information (OSTI)

Projected Biomass Utilization for Fuels and Power in a Mature Market TRANSPORTATION ENERGY FUTURES SERIES: Projected Biomass Utilization for Fuels and Power in a Mature Market A...

498

Coal - prices tumble as the glut continues  

SciTech Connect (OSTI)

The oil price collapse was the major event affecting coal markets around the world in 1986. The 8% expansion in international coal trade in 1985 was halted, and prices fell considerably. World coking coal trade declined and import and export prices fell due to a decrease in steel production and the use of oil, rather than pulverized coal, in blast furnaces. However steam coal trade increased by about 5 million mt because of various institutional constraints to utilities switching from coal burning to oil burning. The article covers coal trade and production in the following countries: Australia; Canada; China; Colombia; Western Europe; Japan; Poland; South Africa; and the USSR.

Lee, H.M.

1987-03-01T23:59:59.000Z

499

Table 41. No. 2 Diesel Fuel Prices by Sulfur Content, Sales...  

Gasoline and Diesel Fuel Update (EIA)

200 Energy Information AdministrationPetroleum Marketing Annual 1998 Table 41. No. 2 Diesel Fuel Prices by Sulfur Content, Sales Type, and PAD District (Cents per Gallon...

500

Table 41. No. 2 Diesel Fuel Prices by Sulfur Content, Sales...  

Gasoline and Diesel Fuel Update (EIA)

200 Energy Information AdministrationPetroleum Marketing Annual 1999 Table 41. No. 2 Diesel Fuel Prices by Sulfur Content, Sales Type, and PAD District (Cents per Gallon...