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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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We encourage you to perform a real-time search of NLEBeta
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1

Comparing Price Forecast Accuracy of Natural Gas Models and Futures Markets  

E-Print Network (OSTI)

Energy futures markets are ‘hubs’ that price and marketenergy price fluctuations. In theory, futures market pricesenergy prices, including most prominently, energy futures markets.

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

2005-01-01T23:59:59.000Z

2

Price distortions in the commodity futures markets  

E-Print Network (OSTI)

Speculation is not monolithic; it comes in many forms. A certain level of speculation is required for commodity futures markets to function. On the other hand, certain types of trading activities by speculators may damage ...

Helfrich, Devin B

2012-01-01T23:59:59.000Z

3

Noise Traders, Market Sentiment, and Futures Price Behavior by  

E-Print Network (OSTI)

The noise trader sentiment model of De Long, Shleifer, Summers, and Waldmann (1990a) is applied to futures markets. The theoretical results predict that overly optimistic (pessimistic) noise traders result in market prices that are greater (less) than fundamental value. Thus, returns can be predicted using the level of noise trader sentiment. The null rational expectations hypothesis is tested against the noise trader alternative using a commercial market sentiment index as a proxy for noise trader sentiment. Fama-MacBeth cross-sectional regressions test if noise traders create a systematic bias in futures prices. The time-series predictability of futures returns using known sentiment levels is tested in a Cumby-Modest market timing framework and a more general causality specification. The empirical results lead to the following conclusions. First, there is no evidence that noise trader sentiment creates a systematic bias in futures prices. Second, predictable market returns using noise trader sentiment is not characteristic of futures markets in general. Third, futures market returns at weekly intervals are characterized by low-order positive autocorrelation with relatively small autoregressive parameters. In those instances where there is evidence of noise trader effects, it is at best limited to isolated markets and particular specifications. Noise Traders, Market Sentiment, and Futures Price Behavior

Dwight R. S; Scott H. Irwin; Raymond M. Leuthold; Dwight R. S; Ers Is Manager

1997-01-01T23:59:59.000Z

4

Comparing Price Forecast Accuracy of Natural Gas Models and Futures Markets  

E-Print Network (OSTI)

energy price fluctuations. In theory, futures market prices summarize privately available informationEnergy; Brookhaven National Laboratory Canadian Energy Research Institute U.S. Energy Information Administration Energy Marketsinformation about future energy prices, including most prominently, energy futures markets.

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

2005-01-01T23:59:59.000Z

5

Comparing Price Forecast Accuracy of Natural Gas Models and Futures Markets  

E-Print Network (OSTI)

Appendix A.1 Natural Gas Price Data for Futures Market andSTEO Error A.1 Natural Gas Price Data for Futures Market andforecasts for natural gas prices as reported by the Energy

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

2005-01-01T23:59:59.000Z

6

Futures Markets and the Reservation Price of Stumpage  

E-Print Network (OSTI)

are out of date. lumber and plywood prices to adjust theselength 2x4 full of random lumber (or 1/2 1• COX plywood forthe plywood contract) delivered in a specific place,

Berck, Peter; Bible, Thomas

1982-01-01T23:59:59.000Z

7

Comparing Price Forecast Accuracy of Natural Gas Models and Futures Markets  

E-Print Network (OSTI)

against the risk of energy price fluctuations. In theory,The poor track record of energy price forecasting models hasof information about future energy prices, including most

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

2005-01-01T23:59:59.000Z

8

Comparing Price Forecast Accuracy of Natural Gas Models andFutures Markets  

SciTech Connect

The purpose of this article is to compare the accuracy of forecasts for natural gas prices as reported by the Energy Information Administration's Short-Term Energy Outlook (STEO) and the futures market for the period from 1998 to 2003. The analysis tabulates the existing data and develops a statistical comparison of the error between STEO and U.S. wellhead natural gas prices and between Henry Hub and U.S. wellhead spot prices. The results indicate that, on average, Henry Hub is a better predictor of natural gas prices with an average error of 0.23 and a standard deviation of 1.22 than STEO with an average error of -0.52 and a standard deviation of 1.36. This analysis suggests that as the futures market continues to report longer forward prices (currently out to five years), it may be of interest to economic modelers to compare the accuracy of their models to the futures market. The authors would especially like to thank Doug Hale of the Energy Information Administration for supporting and reviewing this work.

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

2005-06-30T23:59:59.000Z

9

Comparing Price Forecast Accuracy of Natural Gas Models and Futures Markets  

E-Print Network (OSTI)

index.html. Appendix A.1 Natural Gas Price Data for FuturesError STEO Error A.1 Natural Gas Price Data for Futuresof forecasts for natural gas prices as reported by the

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

2005-01-01T23:59:59.000Z

10

A statistical analysis of the natural gas futures market : the interplay of sentiment, volatility and prices  

E-Print Network (OSTI)

This paper attempts to understand the price dynamics of the North American natural gas market through a statistical survey that includes an analysis of the variables influencing the price and volatility of this energy ...

Fazzio, Thomas J. (Thomas Joseph)

2010-01-01T23:59:59.000Z

11

A statistical analysis of the natural gas futures market : the interplay of sentiment, volatility and prices.  

E-Print Network (OSTI)

??This paper attempts to understand the price dynamics of the North American natural gas market through a statistical survey that includes an analysis of the… (more)

Fazzio, Thomas J. (Thomas Joseph)

2010-01-01T23:59:59.000Z

12

WORKING PAPER SERIESFEDERAL RESERVE BANK of ATLANTA WORKING PAPER SERIES Trading Institutions and Price Discovery: The Cash and Futures Markets for Crude Oil  

E-Print Network (OSTI)

Abstract: We provide substantial evidence that the futures market for West Texas Intermediate crude oil increased the short-term volatility of the cash price of crude oil. We show that the variability of prices increased using both published posted prices and transaction prices for producers. This increased volatility in the price of crude oil may reflect information aggregated into the price, an increase the variance of shocks to the price of crude oil, or noise in the futures price that affects the cash price. We present evidence from experiments consistent with the interpretation that information aggregation not feasible in a posted-price market can explain at least part of the increase in variance. This evidence supports the proposition that information not previously aggregated into the cash price for crude oil is at least part of the reason for the greater variability of the cash price after the opening of the futures market and provides at least one example in which a futures market increased the volatility of the cash market, and prices became more efficient. JEL classification: G130, G140 Key words: crude oil, futures, posted price, experiments, experimental finance, price discovery, information aggregation

Albert Ballinger; Gerald P. Dwyer; Ann B. Gillette; Albert Ballinger; Gerald P. Dwyer; Ann B. Gillette

2004-01-01T23:59:59.000Z

13

Comparing Price Forecast Accuracy of Natural Gas Models and Futures Markets  

E-Print Network (OSTI)

Market and STEO Error Forecast Error from 1998 to 2003 (2 Futures Market and STEO Error Forecast Error from 1998to 2003 (Months 13- Forecast from 1998 to 2003 (Months 1-12)

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

2005-01-01T23:59:59.000Z

14

LNG price parity with oil clouds future of European gas market  

Science Conference Proceedings (OSTI)

Europe's international gas trade may have to mark time while the gas industry determines whether the fuel can remain competitive in the wake of Algeria's recent political victory - a high price for its LNG exports to France. Potential gas buyers will face sellers seeking to emulate the $5.10/million Btu price level. The latest conflict, between Algeria and Italy, is preventing start-up of the completed trans-Mediterranean pipeline. Large gas-price increases across Europe would prompt bulk steam-raisers to move to other fuels; the premium household and commercial markets would not be able to absorb the surplus. If the trend of LNG price parity with crude continues, gas could lose a substantial share of its European market and LNG projects will continue to be abandoned.

Vielvoye, R.

1982-04-19T23:59:59.000Z

15

Residential Price - Marketers  

U.S. Energy Information Administration (EIA)

Average Price of Natural Gas Delivered to Residential and Commercial Consumers by Local Distribution and Marketers in Selected States (Dollars per Thousand Cubic Feet ...

16

Comparing Price Forecast Accuracy of Natural Gas Models and Futures Markets  

E-Print Network (OSTI)

Update on Petroleum, Natural Gas, Heating Oil and Gasoline.of the Market for Natural Gas Futures. Energy Journal 16 (Modeling Forum. 2003. Natural Gas, Fuel Diversity and North

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

2005-01-01T23:59:59.000Z

17

Comparing Price Forecast Accuracy of Natural Gas Models and Futures Markets  

E-Print Network (OSTI)

the forecast. In 1978 the Natural Gas Policy Act was passedof Other Natural Gas Price Forecasts Researchers and policyresearchers and policy makers who utilize natural gas prices

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

2005-01-01T23:59:59.000Z

18

Comparing Price Forecast Accuracy of Natural Gas Models and Futures Markets  

E-Print Network (OSTI)

All U.S. energy markets including exports and imports U.S.Energy Markets All U.S. energy markets including imports andenergy markets All U.S. energy markets including imports and

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

2005-01-01T23:59:59.000Z

19

Noncommercial Trading in the Energy Futures Market  

Reports and Publications (EIA)

How do futures markets affect spot market prices? This is one of the most pervasive questions surrounding futures markets, and it has been analyzed in numerous ways for many commodities.

Information Center

1996-05-01T23:59:59.000Z

20

Comparing Price Forecast Accuracy of Natural Gas Models and Futures Markets  

E-Print Network (OSTI)

National Laboratory Canadian Energy Research Institute U.S.Administration Energy Markets All U.S. energy marketsAll Canadian and U.S. energy markets All U.S. energy markets

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

2005-01-01T23:59:59.000Z

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

Finding the market price  

SciTech Connect

The short-term power exchange offers a glimpse of the deregulated power market. As the electric power industry goes the way of other formerly regulated monopolicies in the United States, incentives will continue to grow for novel ways to trade electricity in hitherto uncharted markets. The emergence of open power markets. The emergence of open power markets thus far has been a patchwork affair. Federally mandated competition in wholesale markets has only recently taken place and all jurisdictional transmission owners must file open access transmission tariffs with the Federal Energy Regulatory Commission. The national agenda has been spotted here and there by state or even utility-specific efforts to unlock retail markets but most of these will take years to implement. Thus, the most common complaint of power market professions is a basic one: It is difficult to determine the market price of electricity. The basic building blocks of an efficient market are missing, e.g. no multitudes of willing buyers and sellers, few arms-length purchases, no price transparency.

Huetteman, T.J.; Stasiak, S.

1996-09-01T23:59:59.000Z

22

Forecasting future volatility from option prices, Working  

E-Print Network (OSTI)

Weisbach are gratefully acknowledged. I bear full responsibility for all remaining errors. Forecasting Future Volatility from Option Prices Evidence exists that option prices produce biased forecasts of future volatility across a wide variety of options markets. This paper presents two main results. First, approximately half of the forecasting bias in the S&P 500 index (SPX) options market is eliminated by constructing measures of realized volatility from five minute observations on SPX futures rather than from daily closing SPX levels. Second, much of the remaining forecasting bias is eliminated by employing an option pricing model that permits a non-zero market price of volatility risk. It is widely believed that option prices provide the best forecasts of the future volatility of the assets which underlie them. One reason for this belief is that option prices have the ability to impound all publicly available information – including all information contained in the history of past prices – about the future volatility of the underlying assets. A second related reason is that option pricing theory maintains that if an option prices fails to embody optimal forecasts of the future volatility of the underlying asset, a profitable trading strategy should be available whose implementation would push the option price to the level that reflects the best possible forecast of future volatility.

Allen M. Poteshman

2000-01-01T23:59:59.000Z

23

Time series analysis of the lead-lag relationship of freight futures and spot market prices  

E-Print Network (OSTI)

This thesis analyzes the relationship between the physical and paper shipping markets. The main objective is to find if one market leads the other by a specific time period so that market players can take advantage from ...

Gavriilidis, Nikolaos

2008-01-01T23:59:59.000Z

24

Comparing Price Forecast Accuracy of Natural Gas Models and Futures Markets  

E-Print Network (OSTI)

and imports U.S. electricity and gas markets includingrepresentation of electricity and natural gas markets,initially to conduct electricity restructuring analysis in

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

2005-01-01T23:59:59.000Z

25

Energy and Financial Markets Overview: Crude Oil Price Formation  

U.S. Energy Information Administration (EIA)

• E&P costs • E&P investments • E&P innovations Physical balancing • Inventories Markets & market behavior • Energy prices ? spot ? futures ? options

26

Effects of futures market manipulation on crude oil prices: An empirical examination.  

E-Print Network (OSTI)

??Crude oil prices moved irregularly in the period leading to the financial meltdown in the beginning of 2008. This research paper deals with the explaining… (more)

Elhelou, Rami

2011-01-01T23:59:59.000Z

27

Comparing Price Forecast Accuracy of Natural Gas Models and Futures Markets  

E-Print Network (OSTI)

information about natural gas supply and demand. As amarket Calibrating natural gas supply and demand conditionsnation-wide natural gas market, equalizing supply with

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

2005-01-01T23:59:59.000Z

28

Comparing Price Forecast Accuracy of Natural Gas Models and Futures Markets  

E-Print Network (OSTI)

about natural gas supply and demand. As a result, someCalibrating natural gas supply and demand conditions withelectricity and natural gas markets, demand-side management

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

2005-01-01T23:59:59.000Z

29

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)

30

Do OPEC Members Know Something the Market Doesn’t? “Fair Price ” Pronouncements and the Market Price of Crude Oil  

E-Print Network (OSTI)

OPEC producers, individually or collectively, often make statements regarding the “fair price ” of crude oil. In some cases, the officials commenting are merely affirming the price prevailing in the crude oil market at the time. In many cases, however, we document that they explicitly disagree with the contemporaneous futures price. A natural question is whether these “fair price ” pronouncements contain information not already reflected in market prices. To find the answer, we collect “fair price ” statements made between 2000 and 2009 by officials from OPEC or OPEC member countries. Visually, the “fair price ” series looks like a sampling discretely drawn (with a lag) from the daily futures market price series. Formally, we use several methodologies to establish that “fair price ” pronouncements have little influence on the market price of crude oil and that they supply little or no new news to oil futures market participants.

Celso Brunetti; Bahattin Büyük?ahin; Michel A. Robe; Kirsten R. Soneson; David Reiffen; Bob Buckley; Rasmus Fatum; Robert L. Losey; Jim Moser; Adam Sieminski; Phil Verlegger; Joe Konizeski

2010-01-01T23:59:59.000Z

31

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

E-Print Network (OSTI)

longer-term market-based forecasts that can be used to more-AEO 2008 Natural Gas Price Forecast to NYMEX Futures Priceslong-term natural gas price forecasts from the AEO series to

Bolinger, Mark

2008-01-01T23:59:59.000Z

32

Assessment of Prices of Natural Gas Futures Contracts As A Predictor of Realized Spot Prices, An  

Reports and Publications (EIA)

This article compares realized Henry Hub spot market prices for natural gas during the three most recent winters with futures prices as they evolve from April through the following February, when trading for the March contract ends.

Lejla Alic

2005-10-28T23:59:59.000Z

33

Retail Market Based Pricing: Retail Market Based Pricing - Three Cases  

Science Conference Proceedings (OSTI)

Customers are not provided with incentives for efficient conservation and substitution of electricity away from peak periods if they do not face prices that reflect the real-time cost of purchasing wholesale electricity that is experienced by their retail energy provider. Recent events in California's restructured electricity market underscore the importance of developing products and structures that enable demand response to changes in prices in these markets. This report assembles three studies of cust...

2001-10-25T23:59:59.000Z

34

Natural Gas Futures Prices (NYMEX)  

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

120313 View History Spot Price Henry Hub 3.871 3.871 3.871 3.853 1997-2013 Futures Prices Contract 1 3.818 3.895 3.895 3.954 3.988 3.976 1994-2013 Contract 2 3.864 3.899 3.899...

35

Trading and Prices in Commodity Markets  

U.S. Energy Information Administration (EIA)

Trading and Prices in Commodity Markets EIA 2013 Workshop on Financial and Physical Oil Market Linkages ... Director of Energy Markets and Financial Analysis

36

The Information Efficiency of Market Prices  

E-Print Network (OSTI)

aggregation of information in competitive markets, Journalstock markets where trades have diverse information, JournalTHE INFORMATION EFFICIENCY OF MARKET PRICES July 1985 by

Bossaerts, Peter

1985-01-01T23:59:59.000Z

37

Edgeworth Price Cycles, Cost-based Pricing and Sticky Pricing in Retail Gasoline Markets  

E-Print Network (OSTI)

Asymmetrically to Crude Oil Price Changes? ”, QuarterlyS. , A. Shepard. “Sticky Prices, Inventories, and MarketGas Wars: Retail Gasoline Price Fluctua- tions”, Review of

Noel, Michael

2004-01-01T23:59:59.000Z

38

Price Changes in the Gasoline Market  

Annual Energy Outlook 2012 (EIA)

1999 Price Changes in the Gasoline Market Are Midwestern Gasoline Prices Downward Sticky? Energy Information Administration Washington, DC 20585 This report was prepared by the...

39

Natural Gas Futures Prices (NYMEX)  

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

13 View History Spot Price Henry Hub 3.69 3.55 3.47 3.62 3.68 3.87 1997-2013 Futures Prices Contract 1 3.64 3.56 3.50 3.60 3.66 3.87 1994-2013 Contract 2 3.76 3.65 3.57 3.65 3.71...

40

Limit order markets, liquidity, and price impact  

E-Print Network (OSTI)

In this thesis, I explore various aspects of market liquidity and analyze its effect on asset prices. First, in a model of a limit order market I explain how to define liquidity and derive a price impact function. Second, ...

Rosu, Ioanid, 1970-

2004-01-01T23:59:59.000Z

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.


41

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

42

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

2009-01-01T23:59:59.000Z

43

Natural Gas Futures Prices (NYMEX)  

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

4.0 2.75 1997-2012 NGL Composite 12.91 15.20 8.99 11.83 15.12 10.98 2007-2012 Futures Prices Contract 1 7.114 8.899 4.159 4.382 4.03 2.83 1994-2012 Contract 2 7.359 9.014 4.428...

44

Natural Gas Futures Prices (NYMEX)  

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

3.62 3.43 3.62 3.68 1997-2013 NGL Composite 9.48 9.06 9.57 10.21 2009-2013 Futures Prices Contract 1 4.07 3.81 3.64 3.41 3.62 3.65 1994-2013 Contract 2 4.11 3.82 3.64 3.45 3.70...

45

Dynamic Pricing and Learning in Electricity Markets  

Science Conference Proceedings (OSTI)

We analyze the price-formation process in an infinite-horizon oligopoly model where hydroelectric generators engage in dynamic price-based competition. The analysis focuses on the role of "indifference" prices, i.e., prices that equate the gains from ... Keywords: Dynamic auctions, Economics, Games: stochastic, Natural resources: energy, Noncooperative, Restructured electricity markets, Water resources

Alfredo Garcia; Enrique Campos-Nañez; James Reitzes

2005-03-01T23:59:59.000Z

46

Electricity Market Design and Price Manipulation  

E-Print Network (OSTI)

Integration of physical transactions and financial contracts is central to successful electricity market design. Virtually every energy transaction has some impact on prices. The mere fact that a physical transaction can affect prices to some degree, and thereby influence the prices of related financial contracts, cannot be a per se definition of price manipulation. A principled policy for characterizing price manipulation in organized electricity markets includes a stand-alone profitability test. Multiple market-clearing prices arise from degenerate pricing conditions that can occur in electricity markets under economic dispatch. In some instances, small changes in bilateral schedules can produce large changes in prices. These prices affect the value of associated financial transmission rights. A stand-alone profitability test distinguishes transactions that are consistent with workably competitive markets from transactions that serve no economic purpose other than to manipulate prices and profit from other financial contracts. Generalizing this standard to the degenerate conditions that give rise to multiple market-clearing prices provides a principled solution without undermining the market-design foundations that integrate economic dispatch, locational prices and financial transmission rights.

William W. Hogan; William W. Hogan I

2012-01-01T23:59:59.000Z

47

An Analysis of Price Volatility in Natural Gas Markets  

U.S. Energy Information Administration (EIA)

Market prices respond to shifts in supply and demand, and the degree of price response relates to the price elasticity of both. Natural gas prices have been particularly

48

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 perspective. They are concerned about losing them to other service territories or seeing them vanish to domestic and foreign competition. There is a sense of a “strategic alliance” being sought by the most proactive of utilities in which they become allies of their customers. In this sense, the issue of how much these customers purchased from them vanishes into the shadows of the more important elements of the relationships. Oh sure, there still are some pushing technology as the customer’s answer. And there are others using incentive and other rate gambits to develop strategic load building. But there is a definite trend emerging toward building the relationship for the long haul and putting short range profit or number game objectives on the back burner. This paper investigates the most successful current utility marketing postures, how they are changing, where pricing fits in and what we are likely to see within the next few years. We will also illustrate the potential traps in competitive marketing and customer service that still lie in wait. We still see a major number of current marketing efforts that are unbalanced, unfairly reward luck, are wasteful and counterproductive. As many of you know, we strongly believe marketing must move from technology-based, “silver bullet” competition, frenetic non-competitive load retention dissipation and load claiming to relational-based marketing in which absolute integrity and service and their consequent trust become paramount. We believe utilities must build honest relationships with all their customers, not merely their energy purchasers. These include their fuel suppliers and regulators. When a utility is not trusted, the competitive situation is reduced to that of a commodity supplier in which price and terms constitute the whole of the relationship. Utilities reduced to this level of inadequate customer service ultimately will lose to those that recognize the alternative of adding value. As the nature and consequences of competition increase, so does the importance of breaking from the methods of the past.

Gilbert, J. S.

1989-09-01T23:59:59.000Z

49

Commerical Price - Marketers - Energy Information Administration  

U.S. Energy Information Administration (EIA)

Average Price of Natural Gas Delivered to Residential and Commercial Consumers by Local Distribution and Marketers in Selected States (Dollars per Thousand Cubic Feet ...

50

Auction market simulator for price based operation  

Science Conference Proceedings (OSTI)

Through the passage of new public utility regulatory policies, the Federal Energy Regulatory Commission (FERC) encourages an open market system for price based operation. A previous paper describes a framework for price based operation and the associated technical issues in an auction market structure. This paper presents an auction market simulator to experimentally study the aspects of power system operation in price-based environment. The proposed simulator can also be used as a tool to train the system operators how to perform electric power transaction in the deregulated environment. This paper presents the simulation results of auction market for price based operation in the 24-bus, 10-generator IEEE Reliability Test System.

Kumar, J.; Sheble, G. [Iowa State Univ., Ames, IA (United States). Dept. of Electrical and Computer Engineering

1998-02-01T23:59:59.000Z

51

September 2000Forecasting Future Variance from Option Prices  

E-Print Network (OSTI)

Although it is widely believed that option prices provide the best possible forecasts of the future variance of the assets which underlie them, a large body of empirical evidence concludes that option prices consistently yield biased forecasts of future variance. The prevailing interpretation of these findings is that option investors may be forming unbiased forecasts of the future variance of underlying assets but that these unbiased forecasts fail to get impounded into option prices because of either (1) the difficulty of carrying out the necessary arbitrage strategies that would force the prices to their proper levels, or (2) the availability to market makers of lucrative alternative strategies in which they simply profit from the large bid-ask spreads in the options markets. This interpretation has significant consequences for nearly the entire range of option pricing research, since it implies that non-continuous trading, bid-ask spreads, and other market imperfections substantially influence option prices. This implication is important, both because incorporating these types of market imperfections into option pricing models is much more difficult than, for example, altering the dynamics of the underlying asset and also because it suggests that researchers cannot learn about option investor expectations by filtering option

Allen M. Poteshman; Mark R. Manfredo; Allen M. Poteshman; Allen M. Poteshman; Champaign Helpful; Jegadeesh Narasimhan

2000-01-01T23:59:59.000Z

52

Futures oil market outlook  

Science Conference Proceedings (OSTI)

We expect the broader expansion of global economic activity in 1995 to more than offset the anticipated slowdown in the US economic growth. This should result in worldwide oil demand growth in excess of 1 million barrels per day and firmer oil prices. This comes on the heels of nearly identical growth in 1994 and should be followed by an even larger increase in 1996. This year`s demand growth comes against a backdrop of flat OPEC production and an increase in non-OPEC supplies that will fall short of the expected increase in consumption. Some degree of political upheaval in at least a half dozen important oil exporting nations could also have implication for crude supplies. One major wildcard that remains for global oil markets is the status of the United Nations` sanctions on Iraqi exports and the timing of when these sanctions are to be eased or lifted completely.

Saucer, J. [Smith Barney, Houston, TX (United States)

1995-06-01T23:59:59.000Z

53

MATHEMATICS Price dynamics in political prediction markets  

E-Print Network (OSTI)

- gate the price dynamics of prediction markets with the goal of developing methods to identify the trulyAPPLIED MATHEMATICS POLITICAL SCIENCES Price dynamics in political prediction markets Saikat Ray City, IA 52242; and d Department Chemical and Biological Engineering, Northwestern University, Evanston

Amaral, Luis A.N.

54

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

SciTech Connect

On December 14, 2009, the reference-case projections from Annual Energy Outlook 2010 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 can play in itigating such risk. As such, we were curious to see how the latest AEO reference-case gas price forecast compares to the NYMEX natural gas futures strip. This brief memo presents our findings.

Bolinger, Mark A.; Wiser, Ryan H.

2010-01-04T23:59:59.000Z

55

System dynamics, market microstructure and asset pricing  

E-Print Network (OSTI)

Traditional asset pricing approaches are not able to explain extreme volatility and tail events that characterized financial markets in the past decade. System Dynamics theory, which is still underutilized in financial ...

Leika, Mindaugas

2013-01-01T23:59:59.000Z

56

Comparison of AEO 2006 Natural Gas Price Forecast to NYMEX Futures Prices  

E-Print Network (OSTI)

Daily price history of 1st-nearby NYMEX natural gas futuresNatural Gas Futures Prices F igure 1 focuses on the historynatural gas prices. Figure 1 shows the daily price history

Bolinger, Mark; Wiser, Ryan

2005-01-01T23:59:59.000Z

57

Oil futures price curve has steepened over the past six months ...  

U.S. Energy Information Administration (EIA)

Crude oil futures contracts allow crude to be bought and sold for delivery at specific dates in the future, meaning market participants can lock in a price today for ...

58

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

E-Print Network (OSTI)

range of different plausible price projections, using eitherthat renewables can provide price certainty over even longerof AEO 2009 Natural Gas Price Forecast to NYMEX Futures

Bolinger, Mark

2009-01-01T23:59:59.000Z

59

Price supports and demand in commodity market modeling  

E-Print Network (OSTI)

Gerdner, B. L. "Futures Prices in Supply Analysis." Amer. J.Service. Spot and Futures Prices." Limited Dcpenden{avec Leuthold, R. ~1. "The Price Performance on the Futures

Riboud, Chris; Rausser, Gordon C.

1981-01-01T23:59:59.000Z

60

Bank Security Prices and Market Discipline  

E-Print Network (OSTI)

In recent years, policymakers and bank regulators have been warming up to the idea of leveraging market forces to enhance banking supervision.This is partly motivated by the growing complexity of large banking organizations and by concerns about limiting the cost of bank supervision as well as avoiding unduly extending the bank safety net (see Kwan 2002). In order for market discipline to work, the market prices of banking securities must contain accurate and timely information about bank risk. Researchers in banking have been studying this issue for quite some time.This Economic Letter reviews the empirical evidence on the informativeness of bank security prices, focusing on the two most obvious sources of market information—stock and

unknown authors

2002-01-01T23:59:59.000Z

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.


61

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

62

From: Mark Bolinger and Ryan Wiser, Berkeley Lab (LBNL) Subject: Comparison of AEO 2010 Natural Gas Price Forecast to NYMEX Futures Prices  

E-Print Network (OSTI)

of AEO 2010 Natural Gas Price Forecast to NYMEX Futures Prices Date: January 4, 2010 1. Introduction, 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

63

Forecasting market prices in a supply chain game q Christopher Kiekintveld a,*, Jason Miller b  

E-Print Network (OSTI)

), the simulation day, and the linear trend of selling prices from the previous ten days. For predicting future prices, we used the same set of features with the addition of the estimated customer demand trend (s). 4Forecasting market prices in a supply chain game q Christopher Kiekintveld a,*, Jason Miller b

Wellman, Michael P.

64

Free: The Future of a Radical Price  

Science Conference Proceedings (OSTI)

The New York Times bestselling author heralds the future of business in Free. In his revolutionary bestseller, The Long Tail, Chris Anderson demonstrated how the online marketplace creates niche markets, allowing products and consumers to connect in ...

Chris Anderson

2009-07-01T23:59:59.000Z

65

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

E-Print Network (OSTI)

local-level wholesale energy market price dynamics and localare included. Energy factor market prices, the shape of theare included. Energy factor market prices, the shape of the

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

2010-01-01T23:59:59.000Z

66

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

E-Print Network (OSTI)

local-level wholesale energy market price dynamics and localare included. Energy factor market prices, the shape of theare included. Energy factor market prices, the shape of the

Jaffee, Dwight; Stanton, Richard; Wallace, Nancy

2012-01-01T23:59:59.000Z

67

Energy & Financial Markets: What Drives Crude Oil Prices ...  

U.S. Energy Information Administration (EIA)

Overview. As part of its Energy and Financial Markets Initiative, EIA is assessing the various factors that may influence oil prices — physical market factors as ...

68

Expected Future Value Decomposition Based Bid Price Generation ...  

E-Print Network (OSTI)

Dec 21, 2009 ... Expected Future Value Decomposition Based Bid Price Generation for ... The EFV curves are used to define bid prices on bundles of resources ...

69

Using Neural Networks to Forecast Stock Market Prices Ramon Lawrence  

E-Print Network (OSTI)

Using Neural Networks to Forecast Stock Market Prices Ramon Lawrence Department of Computer Science on the application of neural networks in forecasting stock market prices. With their ability to discover patterns. Section 3 covers current analytical and computer methods used to forecast stock market prices

Lawrence, Ramon

70

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

71

Comparison of AEO 2007 Natural Gas Price Forecast to NYMEX Futures Prices  

E-Print Network (OSTI)

Daily price history of 1st-nearby NYMEX natural gas futuresNatural Gas Futures Prices Figure 1 focuses on the historythe daily history of the average 5-year natural gas futures

Bolinger, Mark; Wiser, Ryan

2006-01-01T23:59:59.000Z

72

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

Science Conference Proceedings (OSTI)

On December 12, 2007, the reference-case projections from Annual Energy Outlook 2008 (AEO 2008) 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 can play in mitigating such risk. As such, we were curious to see how the latest AEO reference-case gas price forecast compares to the NYMEX natural gas futures strip. This brief memo presents our findings. Note that this memo pertains only to natural gas fuel price risk (i.e., the risk that natural gas prices might differ over the life of a gas-fired generation asset from what was expected when the decision to build the gas-fired unit was made). We do not take into consideration any of the other distinct attributes of gas-fired and renewable generation, such as dispatchability (or lack thereof) or environmental externalities. A comprehensive comparison of different resource types--which is well beyond the scope of this memo--would need to account for differences in all such attributes, including fuel price risk. Furthermore, our analysis focuses solely on natural-gas-fired generation (as opposed to coal-fired generation, for example), for several reasons: (1) price volatility has been more of a concern for natural gas than for other fuels used to generate power; (2) for environmental and other reasons, natural gas has, in recent years, been the fuel of choice among power plant developers (though its appeal has diminished somewhat as prices have increased); and (3) natural gas-fired generators often set the market clearing price in competitive wholesale power markets throughout the United States. That said, a more-complete analysis of how renewables mitigate fuel price risk would also need to consider coal and other fuel prices. Finally, we caution readers about drawing inferences or conclusions based solely on this memo in isolation: to place the information contained herein within its proper context, we strongly encourage readers interested in this issue to read through our previous, more-detailed studies, available at http://eetd.lbl.gov/ea/EMS/reports/53587.pdf or http://eetd.lbl.gov/ea/ems/reports/54751.pdf.

Bolinger, Mark A; Bolinger, Mark; Wiser, Ryan

2008-01-07T23:59:59.000Z

73

Electricity Market Price Forecasting in a Price-responsive Smart Grid Environment  

E-Print Network (OSTI)

of this load is to use electricity market price forecasts to op- timally schedule a combination of the gas of Electricity Market Price Forecasting Errors: A Demand-Side Analysis Hamidreza Zareipour, Member, IEEE, Claudio--Several techniques have been proposed in the liter- ature to forecast electricity market prices and improve forecast

74

Comparison of AEO 2006 Natural Gas Price Forecast to NYMEX FuturesPrices  

SciTech Connect

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

75

Comparison of AEO 2006 Natural Gas Price Forecast to NYMEX FuturesPrices  

DOE Green Energy (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

76

Comparison of AEO 2007 Natural Gas Price Forecast to NYMEX FuturesPrices  

Science Conference Proceedings (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

77

Managing electricity reliability risk through the futures markets  

SciTech Connect

In competitive electricity markets, the vertically integrated utilities that were responsible for ensuring system reliability in their own service territories, or groups of territories, often cease to exist. Typically, the burden falls to an independent system operator (ISO) to insure that enough ancillary services (AS) are available for safe, stable, and reliable operation of the grid, typically defined, in part, as compliance with officially approved engineering specifications for minimum levels of AS. In order to characterize the behavior of market participants (generators, retailers, and an ISO) in a competitive electricity market with reliability requirements, we model a spot market for electricity and futures markets for both electricity and AS. By assuming that each participant seeks to maximize its expected utility of wealth and that all markets clear, we solve for the optional quantities of electricity and AS traded in each market by all participants, as well as the corresponding market-clearing prices. We show that future prices for both electricity and AS depend on expectations of the spot price, statistical aspects of system demand, and production cost parameters. More important, our model captures the fact that electricity and AS are substitute products for the generators, implying that anticipated changes in the spot market will affect the equilibrium futures positions of both electricity and AS. We apply our model to the California electricity and AS markets to test its viability.

Siddiqui, Afzal S.

2000-10-01T23:59:59.000Z

78

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

SciTech Connect

On December 17, 2008, the reference-case projections from Annual Energy Outlook 2009 (AEO 2009) 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 can play in mitigating such risk. As such, we were curious to see how the latest AEO reference-case gas price forecast compares to the NYMEX natural gas futures strip. This brief memo presents our findings. Note that this memo pertains only to natural gas fuel price risk (i.e., the risk that natural gas prices might differ over the life of a gas-fired generation asset from what was expected when the decision to build the gas-fired unit was made). We do not take into consideration any of the other distinct attributes of gas-fired and renewable generation, such as dispatchability (or lack thereof), differences in capital costs and O&M expenses, or environmental externalities. A comprehensive comparison of different resource types--which is well beyond the scope of this memo--would need to account for differences in all such attributes, including fuel price risk. Furthermore, our analysis focuses solely on natural-gas-fired generation (as opposed to coal-fired or nuclear generation, for example), for several reasons: (1) price volatility has been more of a concern for natural gas than for other fuels used to generate power; (2) for environmental and other reasons, natural gas has, in recent years, been the fuel of choice among power plant developers; and (3) natural gas-fired generators often set the market clearing price in competitive wholesale power markets throughout the United States. That said, a more-complete analysis of how renewables mitigate fuel price risk would also need to consider coal, uranium, and other fuel prices. Finally, we caution readers about drawing inferences or conclusions based solely on this memo in isolation: to place the information contained herein within its proper context, we strongly encourage readers interested in this issue to read through our previous, more-detailed studies, available at http://eetd.lbl.gov/ea/EMS/reports/53587.pdf or http://eetd.lbl.gov/ea/ems/reports/54751.pdf.

Bolinger, Mark; Wiser, Ryan

2009-01-28T23:59:59.000Z

79

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

E-Print Network (OSTI)

AEO 2005 reference case oil price forecast and NYMEX oi lthan the reference case oil price forecast for that year. Inoil futures case” where oil prices are based on the NYMEX

Bolinger, Mark; Wiser, Ryan

2004-01-01T23:59:59.000Z

80

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

E-Print Network (OSTI)

forecasts (or any other forecast, for that matter) in makingcase natural gas price forecast, but to also examine a wideAEO 2010 Natural Gas Price Forecast to NYMEX Futures Prices

Bolinger, Mark A.

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.


81

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

E-Print Network (OSTI)

AEO 2009 Natural Gas Price Forecast to NYMEX Futures Priceslong-term natural gas price forecasts from the AEO series toAEO reference-case gas price forecast compares to the NYMEX

Bolinger, Mark

2009-01-01T23:59:59.000Z

82

Comparison of AEO 2006 Natural Gas Price Forecast to NYMEX Futures Prices  

E-Print Network (OSTI)

a portion of the gas price forecast – through 2010 – can beAEO 2006 reference case forecast to conduct a 25-yearAEO 2006 Natural Gas Price Forecast to NYMEX Futures Prices

Bolinger, Mark; Wiser, Ryan

2005-01-01T23:59:59.000Z

83

Comparison of AEO 2007 Natural Gas Price Forecast to NYMEX Futures Prices  

E-Print Network (OSTI)

9: Two Alternative Price Forecasts (denoted by open circlesAEO 2007 Natural Gas Price Forecast to NYMEX Futures Priceslong-term natural gas price forecasts from the AEO series to

Bolinger, Mark; Wiser, Ryan

2006-01-01T23:59:59.000Z

84

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

E-Print Network (OSTI)

to the EIA’s natural gas price forecasts in AEO 2004 and AEOon the AEO 2005 natural gas price forecasts will likely onceof AEO 2005 Natural Gas Price Forecast to NYMEX Futures

Bolinger, Mark; Wiser, Ryan

2004-01-01T23:59:59.000Z

85

Comparison of AEO 2006 Natural Gas Price Forecast to NYMEX Futures Prices  

E-Print Network (OSTI)

this “hybrid” NYMEX-EIA gas price projection still does notonly a portion of the gas price forecast – through 2010 –of AEO 2006 Natural Gas Price Forecast to NYMEX Futures

Bolinger, Mark; Wiser, Ryan

2005-01-01T23:59:59.000Z

86

Comparison of AEO 2007 Natural Gas Price Forecast to NYMEX Futures Prices  

E-Print Network (OSTI)

Figure 9: Two Alternative Price Forecasts (denoted by openComparison of AEO 2007 Natural Gas Price Forecast toNYMEX Futures Prices Date: December 6, 2006 Introduction On

Bolinger, Mark; Wiser, Ryan

2006-01-01T23:59:59.000Z

87

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

88

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

SciTech Connect

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

89

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

DOE Green Energy (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

90

Customer Response to Electricity Prices: Information to Support Wholesale Price Forecasting and Market Analysis  

Science Conference Proceedings (OSTI)

Understanding customer response to electricity price changes is critical to profitably managing a retail business, designing efficient wholesale power markets, and forecasting power prices for valuation of long-lived generating assets. This report packages the collective results of dozens of price response studies for use by forward price forecasters and power market analysts in forecasting loads, revenues, and the benefits of time-varying prices more accurately. In specific, the report describes key mea...

2001-11-30T23:59:59.000Z

91

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

E-Print Network (OSTI)

ahead Wholesale Market Electricity Prices: Case Study of RTPahead Wholesale Market Electricity Prices: Case Study of RTPElectricity Prices

2004-01-01T23:59:59.000Z

92

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

E-Print Network (OSTI)

Daily price history of 1st-nearby NYMEX natural gas futuresthe daily history of the average 5-year natural gas futuresNatural Gas Futures Prices F igure 1 focuses on the history

Bolinger, Mark

2008-01-01T23:59:59.000Z

93

Nonlinear Pricing in Energy and Environmental Markets  

E-Print Network (OSTI)

2009. “To What Electricity Price Do Consumers Respond?faced with nonlinear electricity price schedules. Nonlinearrates and multi-tier electricity prices, complicate economic

Ito, Koichiro

2011-01-01T23:59:59.000Z

94

Demand Pricing & Resource Allocation in Market- based ...  

Science Conference Proceedings (OSTI)

... While pricing operates on a comparatively slow ... and tracking the optimal price, admission control ... the time lag in varying and disseminating prices. ...

2013-02-25T23:59:59.000Z

95

Brand and Price Advertising in Online Markets  

E-Print Network (OSTI)

P. , "Electronic Commerce: Prices and Consumer Issues forFriedman, "Buyer Search and Price Dispersion: A Laboratory808. Chen, J. and P. Scholten, "Price Dispersion, Product

Baye, Michael; Morgan, John

2004-01-01T23:59:59.000Z

96

Energy & Financial Markets: What Drives Crude Oil Prices?  

Reports and Publications (EIA)

An assessment of the various factors that may influence oil prices - physical market factors as well as those related to trading and financial markets. The analysis describes 7 key factors that could influence oil markets and explores possible linkages between each factor and oil prices, and includes regularly-updated graphs that depict aspects of those relationships.

2011-12-14T23:59:59.000Z

97

Capacity-constrained multiple-market price discrimination  

Science Conference Proceedings (OSTI)

This paper studies a multiple-market price discrimination problem with different markets' demand elasticity and supply constraints, whereas the markets share a common capacity. We model the problem as a continuous nonlinear knapsack problem, and propose ... Keywords: Knapsack problem, Nonlinear programming, Price discrimination

Bin Zhang

2012-01-01T23:59:59.000Z

98

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

E-Print Network (OSTI)

A uniform price auction with locational price adjustments for competitive electricity markets in an electricity context requires that the offers used in the auction reflect the appropriate locational price necessary to adapt the Uniform Price auction to an electricity transmission system which takes into account

99

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

100

Analysis of Price Volatility in Natural Gas Markets  

Reports and Publications (EIA)

This article presents an analysis of price volatility in the spot natural gas market, with particular emphasis on the Henry Hub in Louisiana.

Erin Mastrangelo

2007-08-17T23:59:59.000Z

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

Natural Gas Marketer Prices and Sales To Residential and ...  

U.S. Energy Information Administration (EIA)

Pennsylvania natural gas choice market. The supplier must furnish a bond or other security in an amount ... natural gas prices were derived solely from LDCs who

102

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

103

Price Responsive Demand in New York Wholesale Electricity Market using  

NLE Websites -- All DOE Office Websites (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.

104

Economics and regulation of petroleum futures markets  

SciTech Connect

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

105

Future world oil prices: modeling methodologies and summary of recent forecasts  

SciTech Connect

This paper has three main objectives. First, the various methodologies that have been developed to explain historical oil price changes and forecast future price trends are reviewed and summarized. Second, the paper summarizes recent world oil price forecasts, and, then possible, discusses the methodologies used in formulating those forecasts. Third, utilizing conclusions from the reviews of the modeling methodologies and the recent price forecasts, in combination with an assessment of recent and projected oil market trends, oil price projections are given for the time period 1987 to 2022. The paper argues that modeling methodologies have undergone significant evolution during the past decade as modelers increasingly recognize the complex and constantly changing structure of the world oil market. Unfortunately, at this point in time a consensus about the appropriate methodology to use in formulating oil price forecasts is yet to be reached. There is, however, a general movement toward the opinion that both economic and political factors should be considered when making price projections. Likewise, there is no consensus about future oil price trends. Forecasts differ widely. However, in general, forecasts have been adjusted downwardly in recent years. Further, an overall assessment of the forecasts and recent oil market trends suggests that oil prices will remain constant in real terms for the remainder of the 1980s. Real oil prices are expected to increase by between 2 and 3% during the 1990s and beyond. Forecasters are quick to point out, however, that all forecasts are subject to significant uncertainty. 69 references, 3 figures, 10 tables.

Curlee, T.R.

1985-04-01T23:59:59.000Z

106

The Stock Market Reaction to Oil Price Changes  

E-Print Network (OSTI)

I explore the reaction of the stock market as a whole and of different industries to daily oil price changes. I find that the direction and magnitude of the market?s reaction to oil price changes depend on the magnitude of the price changes. Oil price changes most likely caused by supply shocks have a negative impact while oil price changes most likely caused by shifts in aggregate demand have a positive impact on the same day market returns. In addition to the returns of oil-intensive industries, returns of industries that do not use oil to any significant extent are also sensitive to oil price changes. Finally, I show that both the cost-side dependence and demand-side dependence on oil are important in explaining the sensitivity of industry returns to oil price changes. I am indebted to Louis Ederington. I am grateful for the helpful comments received from Chitru Fernando,

Sridhar Gogineni

2008-01-01T23:59:59.000Z

107

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

108

Price-elastic demand in deregulated electricity markets  

SciTech Connect

The degree to which any deregulated market functions efficiently often depends on the ability of market agents to respond quickly to fluctuating conditions. Many restructured electricity markets, however, experience high prices caused by supply shortages and little demand-side response. We examine the implications for market operations when a risk-averse retailer's end-use consumers are allowed to perceive real-time variations in the electricity spot price. Using a market-equilibrium model, we find that price elasticity both increases the retailers revenue risk exposure and decreases the spot price. Since the latter induces the retailer to reduce forward electricity purchases, while the former has the opposite effect, the overall impact of price responsive demand on the relative magnitudes of its risk exposure and end-user price elasticity. Nevertheless, price elasticity decreases cumulative electricity consumption. By extending the analysis to allow for early settlement of demand, we find that forward stage end-user price responsiveness decreases the electricity forward price relative to the case with price-elastic demand only in real time. Moreover, we find that only if forward stage end-user demand is price elastic will the equilibrium electricity forward price be reduced.

Siddiqui, Afzal S.

2003-05-01T23:59:59.000Z

109

Price-elastic demand in deregulated electricity markets  

SciTech Connect

The degree to which any deregulated market functions efficiently often depends on the ability of market agents to respond quickly to fluctuating conditions. Many restructured electricity markets, however, experience high prices caused by supply shortages and little demand-side response. We examine the implications for market operations when a risk-averse retailer's end-use consumers are allowed to perceive real-time variations in the electricity spot price. Using a market-equilibrium model, we find that price elasticity both increases the retailers revenue risk exposure and decreases the spot price. Since the latter induces the retailer to reduce forward electricity purchases, while the former has the opposite effect, the overall impact of price responsive demand on the relative magnitudes of its risk exposure and end-user price elasticity. Nevertheless, price elasticity decreases cumulative electricity consumption. By extending the analysis to allow for early settlement of demand, we find that forward stage end-user price responsiveness decreases the electricity forward price relative to the case with price-elastic demand only in real time. Moreover, we find that only if forward stage end-user demand is price elastic will the equilibrium electricity forward price be reduced.

Siddiqui, Afzal S.

2003-05-01T23:59:59.000Z

110

What are the different coal prices published by EIA? - FAQ - U ...  

U.S. Energy Information Administration (EIA)

What are the different coal prices published by EIA? EIA publishes various coal prices including futures prices, mine prices, captive and open market sales prices ...

111

What are the different coal prices published by EIA? - FAQ - U.S ...  

U.S. Energy Information Administration (EIA)

What are the different coal prices published by EIA? EIA publishes various coal prices including futures prices, mine prices, captive and open market sales prices ...

112

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

E-Print Network (OSTI)

This paper argues that the market rules governing the operation of a re-structured electricity market in combination with its market structure can have a substantial impact on behavior of marketclearing prices. Using evidence on the design of electricity markets in England and Wales, Norway, the state of Victoria in Australia and New Zealand, this paper illustrates that market structure and market rules are important drivers of the behavior of prices in a competitive electricity market. The paper first summarizes the important features of the market structure and market rules in each country. One conclusion to emerge from this comparison is that there are many differences in how these markets in each country are organized. I then provide an assessment of the relationship between market rules and market structure and the behavior of prices in each market. The paper closes with a discussion of the available evidence that the behavior of prices in each country is the result of the exercis...

Frank A. Wolak

1997-01-01T23:59:59.000Z

113

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

114

Composition of Electricity Generation Portfolios, Pivotal Dynamics, and Market Prices  

Science Conference Proceedings (OSTI)

We use simulations to study how the diversification of electricity generation portfolios influences wholesale prices. We find that the relationship between technological diversification and market prices is mediated by the supply-to-demand ratio. In ... Keywords: electricity, market power, simulations, technology diversification

Albert Banal-Estaòol; Augusto Rupérez Micola

2009-11-01T23:59:59.000Z

115

Falling House Prices and Rising Time on the Market  

E-Print Network (OSTI)

Much of the current trouble in the housing market has been attributed to the fact that house price appreciation—strong for many years—is finally slowing; indeed, in many markets now, house prices are falling.The mere fact that falling house prices are considered newsworthy is interesting in its own right. In other asset markets, such as the stock and bond markets, prices routinely fluctuate up and down every day. In this Economic Letter I argue that the main reason for this difference reflects differences in the liquidity of houses and financial assets as investments. I review the ways in which residential real estate prices and liquidity vary over time and over different states of the economy, discuss the implications of this price and liquidity behavior

unknown authors

2008-01-01T23:59:59.000Z

116

The Market Price of Risk: Implications for Electricity Price Forecasting, Asset Valuation and Portfolio Risk Management  

Science Conference Proceedings (OSTI)

Forward Price Forecasting for Power Market Valuation (TR-111860, 1998) presented the basic theory on the market price of risk. However, continued development of the power market has led to additional complexities when applying the concept to electric power. This current report updates that earlier report based on subsequent development of the theory by EPRI and others and reflects two additional years of market data.

2000-12-07T23:59:59.000Z

117

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

E-Print Network (OSTI)

late January 2008, extend its natural gas futures strip anComparison of AEO 2008 Natural Gas Price Forecast to NYMEXs reference-case long-term natural gas price forecasts from

Bolinger, Mark

2008-01-01T23:59:59.000Z

118

What Do We Learn from the Price of Crude Oil Futures?” working paper  

E-Print Network (OSTI)

Abstract: Based on a two-country, multi-period general equilibrium model of the spot and futures markets for crude oil, we show that there is no theoretical support for the common view that oil futures prices are accurate predictors of the spot price in the mean-squared prediction error (MSPE) sense; yet under certain conditions there is support for the view that oil futures prices are unbiased predictors. Our empirical analysis documents that futures-based forecasts typically are less accurate than the no-change forecast and biased, although the bias is small. Much of the MSPE is driven by the variability of the futures price about the expected spot price, as captured by the basis. Empirically, the fluctuations in the oil futures basis are larger and more persistent than fluctuations in the basis of foreign exchange futures. Within the context of our theoretical model, this anomaly can be explained by the marginal convenience yield of oil inventories. We show that increased uncertainty about future oil supply shortfalls under plausible assumptions causes the basis to decline and precautionary demand for crude oil to increase, resulting in an immediate increase in the real spot price that is not necessarily associated with an accumulation of oil inventories. Our main result is that the negative of the basis may be viewed as an index of fluctuations in the price of crude oil driven by precautionary demand for oil. An empirical analysis of this index provides independent evidence of how shifts in market expectations about future oil supply shortfalls affect the spot price of crude oil. Such expectation shifts have been difficult to quantify, yet have been shown to play an important role in explaining oil price fluctuations. Our empirical results are consistent with related evidence in the literature obtained by alternative methodologies.

Ron Alquist; Lutz Kilian

2007-01-01T23:59:59.000Z

119

The Impact of Varying Natural Gas Prices on the Potential Distributed Resources Market  

Science Conference Proceedings (OSTI)

Studies of the potential market for distributed resources (DR) have typically assumed that long-term gas rates will increase in a gradual and uniform fashion; however, natural gas rates can peak at very high rates as they did in late 2000 and early 2001. This project studied the response of the DR market to changes in future gas prices in a range of plausible scenarios. It suggests that relatively high natural gas prices and non-uniform annual price fluctuations may strongly affect the size and character...

2002-11-14T23:59:59.000Z

120

U.S. Natural Gas Markets: Recent Trends and Prospects for the Future  

Reports and Publications (EIA)

The purpose of this study is to examine recent trends and prospects for the future of the U.S. natural gas market. Natural gas prices rose dramatically in 2000 and remained high through the first part of 2001, raising concerns about the future of natural gas prices and potential for natural gas to fuel the growth of the U.S. economy. Pages

Andy S. Kydes

2001-05-01T23:59:59.000Z

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

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

E-Print Network (OSTI)

next day’s hourly electricity prices? ( CHECK ONLY ONE ) 1.to Real Time Electricity Prices, Unpublished Manuscript atahead Wholesale Market Electricity Prices: Case Study of RTP

2005-01-01T23:59:59.000Z

122

Empirical analysis of the spot market implications of price-elastic demand  

E-Print Network (OSTI)

are exposed to real-time electricity prices, then they cansustained increases in the electricity price. Greater pricethe market-clearing electricity price. Indeed, the remaining

Siddiqui, Afzal S.; Bartholomew, Emily S.; Marnay, Chris

2004-01-01T23:59:59.000Z

123

Stock market volatility and price discovery : three essays on the effect of macroeconomic information  

E-Print Network (OSTI)

Simple Microstructure Model of Price Determination . . 3.11Stock Market Volatility and Price Discovery: Three Essays onConstruction Spending PRICES CPI MONETARY POLICY FFR Source:

Rangel, Jose Gonzalo

2006-01-01T23:59:59.000Z

124

Market behavior under partial price controls: the case of the retail gasoline market  

SciTech Connect

The use of firm-specific controls on the price of gasoline during 1979 and 1980, at both the wholesale and the retail level, dramatically affected the retail market for gasoline. The most visible effect was a diversity of monetary prices across service stations within particular retail market areas. Price could no longer play its usual role in clearing the retail market for gasoline. Queues and other changes in quality of service at stations arose to maintain the balance of market demand and supply. This report examines the behavior of an otherwise competitive market in the presence of such regulation-induced nonprice phenomena. In such a market, consumers consider both monetary prices and costs imposed by queues in deciding where to buy gasoline and how much to buy. Using a price-theoretic model of behavior, this paper predicts how various changes in effective price regulation affect consumers. 14 references, 7 figures, 2 tables.

Camm, F.

1983-03-01T23:59:59.000Z

125

Competition and Prices on the Emerging Nordic Electricity Market  

E-Print Network (OSTI)

The purpose of this paper is to quantitatively evaluate the impact on electricity prices of deregulation and free trade in the Nordic countries. The analysis is focused on the impact of increased competition on market power and the degree of monopolistic pricing. The major tool for our analysis of electricity trade and prices is a numerical multicountry electricity market model in which losses and bottlenecks in the transmission system are taken into account. Moreover both Cournot and perfect competition equilibria with and without free trade in electricity can be simulated. According to the simulation results there are significant differences between the Cournot and perfect competition equilibrium prices under autarky. When inter-country trade is allowed, however, the Cournot equilibrium prices are quite close to the equilibrium prices under perfect competition. Yet the net inter-country physical flows of electricity are small and well within existing transmission capacities.

Eirik S. Amundsen; Lars Bergman; Bo Andersson; Jel-classification D

1998-01-01T23:59:59.000Z

126

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

NLE Websites -- All DOE Office Websites (Extended Search)

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 HostPoint...

127

Financial market imperfections and their asset pricing implications  

E-Print Network (OSTI)

This thesis consists of two studies on financial market imperfections. The first study (Chapters 2 and 3) investigates illiquidity, which is a reflection of different imperfections, and its pricing implications in the ...

Rayanakorn, Surapap

2012-01-01T23:59:59.000Z

128

Estimating Welfare In Insurance Markets Using Variation in Prices  

E-Print Network (OSTI)

We provide a graphical illustration of how standard consumer and producer theory can be used to quantify the welfare loss associated with inefficient pricing in insurance markets with selection. We then show how this welfare ...

Finkelstein, Amy

129

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

130

Nonlinear Pricing in Energy and Environmental Markets  

E-Print Network (OSTI)

of the Southern California Edison Company. Glendale Calif. :Southern California Edison (SCE) and San Diego Gas &using Southern California Edison’s price schedule in 2007.

Ito, Koichiro

2011-01-01T23:59:59.000Z

131

Nonlinear Pricing in Energy and Environmental Markets  

E-Print Network (OSTI)

on their summer electricity bills if they could reduce theira fixed credit on electricity bills. The rationale behindaverage price of their electricity bills, the fixed credit

Ito, Koichiro

2011-01-01T23:59:59.000Z

132

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

133

Reviewing progress in PJM's capacity market structure via the new reliability pricing model  

Science Conference Proceedings (OSTI)

The Reliability Pricing Model introduces significant changes to the capacity market structure of PJM. The main feature of the RPM design is a downward-sloping demand curve, which replaces the highly volatile vertical demand curve. The authors review the latest RPM structure, results of the auctions, and the future course of the implementation process. (author)

Sener, Adil Caner; Kimball, Stefan

2007-12-15T23:59:59.000Z

134

Bilevel optimization applied to strategic pricing in competitive electricity markets  

Science Conference Proceedings (OSTI)

In this paper, we present a bilevel programming formulation for the problem of strategic bidding under uncertainty in a wholesale energy market (WEM), where the economic remuneration of each generator depends on the ability of its own management to ... Keywords: Bilevel programming, Electricity pool market, Mathematical program with equilibrium constraints, Strategic pricing

M. Fampa; L. A. Barroso; D. Candal; L. Simonetti

2008-03-01T23:59:59.000Z

135

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

136

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 localexpenses, and energy factor market inputs. In a companion

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

2010-01-01T23:59:59.000Z

137

Price changes in the gasoline market: Are Midwestern gasoline prices downward sticky?  

SciTech Connect

This report examines a recurring question about gasoline markets: why, especially in times of high price volatility, do retail gasoline prices seem to rise quickly but fall back more slowly? Do gasoline prices actually rise faster than they fall, or does this just appear to be the case because people tend to pay more attention to prices when they`re rising? This question is more complex than it might appear to be initially, and it has been addressed by numerous analysts in government, academia and industry. The question is very important, because perceived problems with retail gasoline pricing have been used in arguments for government regulation of prices. The phenomenon of prices at different market levels tending to move differently relative to each other depending on direction is known as price asymmetry. This report summarizes the previous work on gasoline price asymmetry and provides a method for testing for asymmetry in a wide variety of situations. The major finding of this paper is that there is some amount of asymmetry and pattern asymmetry, especially at the retail level, in the Midwestern states that are the focus of the analysis. Nevertheless, both the amount asymmetry and pattern asymmetry are relatively small. In addition, much of the pattern asymmetry detected in this and previous studies could be a statistical artifact caused by the time lags between price changes at different points in the gasoline distribution system. In other words, retail gasoline prices do sometimes rise faster than they fall, but this is largely a lagged market response to an upward shock in the underlying wholesale gasoline or crude oil prices, followed by a return toward the previous baseline. After consistent time lags are factored out, most apparent asymmetry disappears.

NONE

1999-03-01T23:59:59.000Z

138

Prices  

Gasoline and Diesel Fuel Update (EIA)

Information AdministrationPetroleum Marketing Annual 1998 Table 31. Motor Gasoline Prices by Grade, Sales Type, PAD District, and State (Cents per Gallon Excluding Taxes) -...

139

Prices  

Gasoline and Diesel Fuel Update (EIA)

Information AdministrationPetroleum Marketing Annual 2001 Table 31. Motor Gasoline Prices by Grade, Sales Type, PAD District, and State (Cents per Gallon Excluding Taxes) -...

140

Prices  

Annual Energy Outlook 2012 (EIA)

Information AdministrationPetroleum Marketing Annual 1999 Table 31. Motor Gasoline Prices by Grade, Sales Type, PAD District, and State (Cents per Gallon Excluding Taxes) -...

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

Structural Estimation of Price Adjustment Costs in the European Car Market  

E-Print Network (OSTI)

Sys- tem: the European Car Market”. C.E.P.R. DiscussionPrice Dispersion in the European Car Market”. The Review ofPrice: Evidence from the European Car Market”. Journal of

Noton, Carlos

2009-01-01T23:59:59.000Z

142

Green Pricing Program Marketing Expenditures: Finding the Right Balance  

SciTech Connect

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

143

Price and Load Forecasting in Volatile Energy Markets  

Science Conference Proceedings (OSTI)

With daily news stories about wildly fluctuating electricity prices and soaring natural gas prices, forecasters' responsibilities are expanding, visibility is increasing, and pressure exists to produce more frequent forecasts and more kinds of forecasts. The proceedings of EPRI's 13th Forecasting Symposium, held November 13-15 in Nashville, Tennessee, address current forecasting issues and developments, as well as explain the role that forecasters have played in recent events in energy markets.

2001-12-05T23:59:59.000Z

144

Future Contracts and Options Commodity markets  

E-Print Network (OSTI)

the concurrent use of both cash and futures markets · Consider the case of a flour mill which has made heavy forward sales of flour, that requires more uncommitted wheat that the mill owns. ­ to hedge these flour sales, the mill needs to secure more wheat contracts in future when there is enough resources from

Boisvert, Jeff

145

Scenario Generation for Price Forecasting in Restructured Wholesale Power Markets  

E-Print Network (OSTI)

In current restructured wholesale power markets, the short length of time series for prices makes it difficult to use empirical price data to test existing price forecasting tools and to develop new price forecasting tools. This study therefore proposes a two-stage approach for generating simulated price scenarios based on the available price data. The first stage consists of an Autoregressive Moving Average (ARMA) model for determining scenarios of cleared demands and scheduled generator outages (D&O), and a moment-matching method for reducing the number of D&O scenarios to a practical scale. In the second stage, polynomials are fitted between D&O and wholesale power prices in order to obtain price scenarios for a specified time frame. Time series data from the Midwest ISO (MISO) are used as a test system to validate the proposed approach. The simulation results indicate that the proposed approach is able to generate price scenarios for distinct seasons with empirically realistic characteristics.

Qun Zhou; Leigh Tesfatsion; Chen-Ching Liu

2009-01-01T23:59:59.000Z

146

Price Changes in the Gasoline Market - U.S. Energy Information ...  

U.S. Energy Information Administration (EIA)

DOE/EIA-0626 February 1999 Price Changes in the Gasoline Market Are Midwestern Gasoline Prices Downward Sticky? Energy Information Administration Washington, DC 20585

147

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

148

Examination of the rationality of real estate market pricing : focusing on the US office property market  

E-Print Network (OSTI)

This study examines whether or not investors behave rationally when they price the U.S. office properties. After reviewing several previous studies on the market efficiency, this paper makes three new attempts: first, we ...

Jeong, Jinbae

2009-01-01T23:59:59.000Z

149

EFFICIENT PRICING IN ELECTRICITY MARKETS: WHO IS ON REAL-TIME PRICING  

E-Print Network (OSTI)

When prices are set properly, they serve as important signals to guide customers to consume the efficient quantity of a good. However, in electricity markets many consumers do not pay prices that reflect the scarcity of power. The true social cost of power varies throughout a typical day; power is usually low cost during off-peak periods in the night but it is high cost during a hot July afternoon. Economists have argued for several decades that consumers should pay a price that varies with the true social cost of power. However, the vast majority of consumers pay a fixed price whether they use power at midnight or noon. This can create a host of economic inefficiencies. Fortunately, this is beginning to change. In many states, including Texas, large commercial and industrial users of electricity pay prices that reflect the social cost of power at the time of consumption. This pricing mechanism is called “real-time pricing” (RTP) in electricity markets. I have access to a unique, new dataset of virtually all 8000 commercial and industrial users in Texas that includes information on both whether they pay real-time prices and their hourly consumption for one year. First, I econometrically iv estimate the types of commercial and industrial firms that are likely to “sign up” for time-varying prices. Second, I test whether the customers on real-time prices reduce demand substantially in response to higher prices. I find that customers with greater total hourly consumption are more likely to be on real-time pricing. Customers with more „peaky? load profiles are less likely to be on real-time pricing. Customers in south and west Texas have a greater probability of being on RTP than customers in Houston. I also study whether customers on RTP decrease consumption on hot summer days when electricity is scare. These results have important implications for the design of both deregulated electricity markets and policies that seek to increase the amount of electricity generated with renewable sources of energy.

Fontana, Michelle

2011-05-01T23:59:59.000Z

150

Energy & Financial Markets: What Drives Crude Oil Prices ...  

U.S. Energy Information Administration (EIA)

Search EIA.gov. A-Z Index; A-Z Index A B C D E F G H I J K L M N O P Q R S T U V W XYZ. Energy & Financial Markets What Drives Crude Oil Prices? ...

151

The Impact of Market Rules and Market Structure on the Price Determination Process in the England and Wales Electricity Market  

E-Print Network (OSTI)

This paper argues that the market rules governing the operation of the England and Wales electricity market in combination with the structure of this market presents the two major generators---National Power and PowerGen---with opportunities to earn revenues substantially in excess of their costs of production for short periods of time. Generators competing to serve this market have two strategic weapons at their disposal: (1) the price bid for each generation set and (2) the capacity of each generation set made available to supply the market each half-hour period during the day. We argue that because of the rules governing the price determination process in this market, by the strategic use of capacity availability declarations, when conditions exogenous to the behavior of the two major generators favor it, these two generators are able to obtain prices for their output substantially in excess of their marginal costs of generation. The paper establishes these points in the following manner. First, we provide a description of the market structure and rules governing the operation of the England and Wales electricity market, emphasizing those aspects that are important to the success of the strategy we believe the two generators use to exercise market power. We then summarize the time series properties of the price of electricity emerging from this market structure and price-setting process. By analyzing four fiscal years of actual market prices, quantities and generator bids into the market, we provide various pieces of evidence in favor of the strategic use of the market rules by the two major participants. The paper closes with a discussion of the lessons that the England and Wales experience can provide for the design of competitive power markets in the US, particula...

Frank A. Wolak; Robert H. Patrick

1997-01-01T23:59:59.000Z

152

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

E-Print Network (OSTI)

and 2006) ISO-NE Real-Time Price Response (RTPR) ProgramResponse to Real Time Electricity Prices”, December,real-time energy market) Short-notice emergency program Price-

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

2007-01-01T23:59:59.000Z

153

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

154

Electricity Market Price Forecasting: Neural Networks versus Weighted-Distance Nearest Neighbours  

E-Print Network (OSTI)

In today's deregulated markets, forecasting energy prices is becoming more and more important. In the short term, expected price pro les help market participants to determine their bidding strategies.

A. Troncoso; J.M. Riquelme; Alicia Troncoso Lora; J.L. Martínez; A. Gómez; Jose Riquelme Santos; Jesus Riquelme Santos

2001-01-01T23:59:59.000Z

155

Impact of Changing Fuel and Power Market Structures on Price Behavior  

Science Conference Proceedings (OSTI)

Managing electricity and fuel price risks is a daily task in today's competitive markets. It is tempting to try to extract insights from past price behavior. This report analyzes short-term price relationships for electricity and natural gas (for example, price volatilities and correlations) but goes farther, examining overarching price regimes that provide context for observed prices and required risk management. Spanning electricity, natural gas, oil, coal, and emission allowances markets, the interpre...

2001-09-04T23:59:59.000Z

156

Hedonic study on mobile telephony market in France: pricing---quality strategies  

Science Conference Proceedings (OSTI)

This paper provides a hedonic price analysis of mobile telephony services for the French market. We adopt the hedonic price theory to examine the relationship between changes in price levels and the evolution of the market for mobile telecommunications ... Keywords: Hedonic indexes, Mobile telephony, Pricing, Quality-adjustment

Chiraz Karamti; Lukasz Grzybowski

2010-10-01T23:59:59.000Z

157

Excessive Speculation and Market Manipulation The Guar Futures Trading Fiasco  

E-Print Network (OSTI)

The recent guar trading scandal gives a peek into the murky world of Indian commodity futures markets and reveals how commodity exchanges are acting like casinos for speculators, moving away from their avowed objectives of price discovery and price risk management in an efficient and orderly manner. Guar (Cyamopsis tetragonoloba) is a drought resistant crop grown mainly in Rajasthan and parts of Haryana and Punjab. The sowing season for guar seed begins in July and the crop is ready for harvesting in October. Most guar farmers sell their produce to traders at the farm gate and nearby markets. A part of produce is also kept by farmers for seed, animal feed and fodder purposes. India is the largest producer of guar seed in the world and accounts for 80 percent of the world’s total guar seed production. Guar gum, extracted from guar seed, is used as a thickening agent and additive in food products such as soups and ice-creams. Of late, the global demand for guar gum is growing rapidly because of its use in “hydraulic fracking ” process to extract oil and gas from shale. Almost 80 percent of country’s total production is exported to US, China and Europe. Considered as a narrow commodity due to its limited potential for cultivation in peculiar agroclimatic conditions, the total area under guar seed production was 2.9 million hectares in 2011. The prices of guar seed and guar gum vary from year to year depending on the monsoon conditions. Since 2004, guar seed and guar gum contracts are being traded in the Indian commodity futures markets.

Strong Export

2012-01-01T23:59:59.000Z

158

Analysis on various pricing scenarios in a deregulated electricity market  

E-Print Network (OSTI)

The electricity pricing structure in Texas has changed after deregulation (January 2002). The Energy Systems Laboratory has served as a technical consultant on electricity purchases to several universities in the Texas A&M University System since 2001. In the fiscal year of 2006 Stephen F. Austin State University joined with the TAMU campuses and agencies, and there are now 183 accounts in the Electric Reliability Council of Texas (ERCOT) North, Northeast, South, West, and Houston areas of Texas. From the 183 accounts, 9 Interval Data Recorder (IDR) accounts consume 92% of the total load. The objective of this research is to find the most economic price structure to purchase electricity for the Texas A&M System and Stephen F. Austin University by analyzing various pricing scenarios: the spot market, forward contracts, take or pay contracts and on/off season (tiered) contracts. The analysis was based on the 9 IDR accounts. The prices for the spot market were given by ERCOT and the other prices by Sempra. The energy charges were calculated every 15 minute using the real historical consumption of each facility and the aggregated load of all facilities. The result for the analysis was given for each institution separately, as well as for the aggregated load of all facilities. The results of the analysis showed that the tiered price was the most economical structure to purchase electricity for each individual university and for the total aggregated load of all 9 IDR accounts. From March 1, 2005 to February 28, 2006, purchasing electricity on the tiered price would have cost $13,810,560. The forward contract, that is, purchasing electricity on a fixed rate, was the next cheapest with an energy cost of $14,266,870 from March 1, 2005 to February 28, 2006, 3% higher than purchasing electricity at the tiered price. The most expensive method to purchase electricity would have been the spot market. Its energy costs would have been approximately $18,171,610, 36% and 31% higher, respectively, than purchasing electricity at the tiered price and the fixed rate.

Afanador Delgado, Catalina

2006-08-01T23:59:59.000Z

159

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 and by neighboring utility companies to achieve new levels in customer service, reliability, and pricing. The two, industry and utility, are not antagonists, but are actually partners in the same venture--the industrial customer's costs are oftentimes tied closely to the price of electric power, and the utility's economic health depends upon the continued success of its customers. To work, a utility's marketing strategy and pricing arrangements must form a cohesive whole. Electric 'power rates must be able to recover a utility's costs and provide a sound fiscal footing for the utility, and yet still be attractive to industry and encourage the economic development of the region. However, lower rates are simply not the only answer in a sound marketing strategy. Rather than merely developing plans in accordance with the lowest feasible rates, it is reasonable for the utility to promote electrical efficiency and industrial productivity to ensure that electricity becomes a decreasing economic burden on industry. The utility and its industrial customers must work together as partners for the success of any marketing strategy. In this way, new arrangements may evolve which pave the way for industrial growth. I chair this tutorial having firsthand experience of the value to a utility of fostering trusting relationships with the industrial customers it serves. Through such relationships, TVA has been able to learn at an early date the needs of the customers it serves, and to do what it can as a utility to meet those needs. This tutorial panel consists of national experts from industry, utility, and consulting firms, each having direct experience in the important area of utility marketing, pricing, and customer relations. "

Reynolds, S.

1989-09-01T23:59:59.000Z

160

Using Environmental Emissions Permit Prices to Raise Electricity Prices: Evidence from the California Electricity Market  

E-Print Network (OSTI)

Permit Prices to Raise Electricity Prices: Evidence from thePermit Prices to Raise Electricity Prices: Evidence from thehigher wholesale electricity prices, during the third and

Kolstad, Jonathan; Wolak, Frank

2003-01-01T23:59:59.000Z

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.


161

Future market for ceramics in vehicle engines and their impacts  

DOE Green Energy (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

162

Green Pricing Program Marketing Expenditures: Finding the Right Balance  

NLE Websites -- All DOE Office Websites (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

163

Transmission access and pricing with multiple separate energy forward markets  

Science Conference Proceedings (OSTI)

California`s congestion management protocols provide comparable access and prices to all users of the transmission system (power exchange and bilateral contract parties). The users implicitly bid for capacity on major transmission paths between zones. The Independent System Operator (ISO) allocates the available transmission capacity on these paths so that it maximizes the value of this capacity as measured by the users` bids. Everyone scheduling flow on a congested path is charged the marginal-cost-based price for using the path. The ISO keeps each party`s portfolio of generation and load individually in balance when adjusting schedules to relieve congestion on interzonal paths. By keeping the portfolios of the different parties separate, the ISO clears its transmission market without arranging energy trades between parties. Parties are responsible for arranging their own trades. The ISO does not become involved in the energy forward markets.

Gribik, P.R. [Perot Systems Corp., Los Angeles, CA (United States); Angelidis, G.A. [Pacific Gas and Electric Co., San Francisco, CA (United States); Kovacs, R.R. [Southern California Edison, Rosemead, CA (United States)

1999-08-01T23:59:59.000Z

164

Wind Generation in the Future Competitive California Power Market  

DOE Green Energy (OSTI)

The goal of this work is to develop improved methods for assessing the viability of wind generation in competitive electricity markets. The viability of a limited number of possible wind sites is assessed using a geographic information system (GIS) to determine the cost of development, and Elfin, an electric utility production costing and capacity expansion model, to estimate the possible revenues and profits of wind farms at the sites. This approach improves on a simple profitability calculation by using a site-specific development cost calculation and by taking the effect of time varying market prices on revenues into account. The first component of the work is to develop data characterizing wind resources suitable for use in production costing and capacity expansion models, such as Elfin, that are capable of simulating competitive electricity markets. An improved representation of California wind resources is built, using information collected by the California Energy Commission (CE C) in previous site evaluations, and by using a GIS approach to estimating development costs at 36 specific sites. These sites, which have been identified as favorable for wind development, are placed on Digital Elevation Maps (DEMs) and development costs are calculated based on distances to roads and transmission lines. GIS is also used to develop the potential capacity at each site by making use of the physical characteristics of the terrain, such as ridge lengths. In the second part of the effort, using a previously developed algorithm for simulating competitive entry to the California electricity market, the Elfin model is used to gauge the viability of wind farms at the 36 sites. The results of this exercise are forecasts of profitable development levels at each site and the effects of these developments on the electricity system as a whole. Under best guess assumptions, including prohibition of new nuclear and coal capacity, moderate increase in gas prices and some decline in renewable capital costs, about 7.35 GW of the 10 GW potential capacity at the 36 specific sites is profitably developed and 62 TWh of electricity produced per annum by the year 2030. Most of the development happens during the earlier years of the forecast. Sensitivity of these results to future gas price scenarios is also presented. This study also demonstrates that an analysis based on a simple levelized profitability calculation approach does not sufficiently capture the implications of time varying prices in a competitive market.

Sezgen, O.; Marnay, C.; Bretz, S.

1998-03-01T23:59:59.000Z

165

Kinetic market models with single commodity having price fluctuations  

E-Print Network (OSTI)

We study here numerically the behavior of an ideal gas like model of markets having only one non-consumable commodity. We investigate the behavior of the steady-state distributions of money, commodity and total wealth, as the dynamics of trading or exchange of money and commodity proceeds, with local (in time) fluctuations in the price of the commodity. These distributions are studied in markets with agents having uniform and random saving factors. The self-organizing features in money distribution are similar to the cases without any commodity (or with consumable commodities), the commodity distribution shows an exponential decay. The wealth distribution shows interesting behavior: Gamma like distribution for uniform saving propensity and has the same power-law tail, as that of the money distribution for a market with agents having random saving propensity.

Chatterjee, A; Chakrabarti, Bikas K.; Chatterjee, Arnab

2006-01-01T23:59:59.000Z

166

Document Number 2000-18, October, 2000 1 Study of Western Power Market Prices  

E-Print Network (OSTI)

Power Pool - US Systems for June 28, the peak price day of June, indicates a peak net hourly load levels. Prices in the spot market at Henry Hub in Louisiana have been over $5 recently and are expectedDocument Number 2000-18, October, 2000 1 Study of Western Power Market Prices Summer 2000 Final

167

Analyzing Multiple-Product Power Markets: Simulation of Energy and Ancillary Services Prices and System Adequacy  

Science Conference Proceedings (OSTI)

The interpretation of price signals is a primary business task of power market participants, made more challenging by the shift from cost-based to bid-based pricing. This report outlines a novel pricing framework that accounts for the behavior and interaction of forward and real-time energy markets and the ancillary services required to maintain system reliability.

2000-12-01T23:59:59.000Z

168

FUTURE POWER GRID INITIATIVE Market Design Analysis Tool  

E-Print Network (OSTI)

FUTURE POWER GRID INITIATIVE Market Design Analysis Tool OBJECTIVE Power market design plays a critical role in the outcomes related to power system reliability and market efficiency. However, translation of market rules/designs into the complex mathematical market clearing mechanism is not a trivial

169

The role of content regulation on pricing and market power in regional retail and wholesale gasoline markets  

E-Print Network (OSTI)

Since 1999, regional retail and wholesale gasoline markets in the United States have experienced significant price volatility, both intertemporally and across geographic markets. This paper focuses on one potential explanation ...

Muehlegger, Erich J.

2002-01-01T23:59:59.000Z

170

Price-elastic demand in deregulated electricity markets  

E-Print Network (OSTI)

is unable to reduce electricity prices. The unstorability ofhourly variability in electricity prices while maintainingboth forward and spot electricity prices a ect demand. Our

Siddiqui, Afzal S.

2003-01-01T23:59:59.000Z

171

Edgeworth Price Cycles: Evidence from the Toronto Retail Gasoline Market  

E-Print Network (OSTI)

Asymmetrically to Crude Oil Price Changes? ” QuarterlyGas Wars: Retail Gasoline Price Fluctua- tions”, Review of7] Eckert, A. “Retail Price Cycles and Response Asymmetry”,

Noel, Michael

2004-01-01T23:59:59.000Z

172

Support vector regression with chaos-based firefly algorithm for stock market price forecasting  

Science Conference Proceedings (OSTI)

Due to the inherent non-linearity and non-stationary characteristics of financial stock market price time series, conventional modeling techniques such as the Box-Jenkins autoregressive integrated moving average (ARIMA) are not adequate for stock market ... Keywords: Chaotic mapping, Firefly algorithm, Stock market price forecasting, Support vector regression

Ahmad Kazem; Ebrahim Sharifi; Farookh Khadeer Hussain; Morteza Saberi; Omar Khadeer Hussain

2013-02-01T23:59:59.000Z

173

St[r]ategic offers in an oligopolistic electricity market under pay-as-bid pricing.  

E-Print Network (OSTI)

??Marginal pricing is the traditional pricing method in pool based electricity markets, however pay-as-bid is an alternative that has been the focus of recent studies.… (more)

Ganjbakhsh, Omid.

2008-01-01T23:59:59.000Z

174

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

SciTech Connect

This chapter presents BPA's market price forecasts, 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 rates. AURORA is used as the primary tool for (a) calculation of the demand rate, (b) shaping the PF rate, (c) estimating the forward price for the IOU REP settlement benefits calculation for fiscal years 2008 and 2009, (d) estimating the uncertainty surrounding DSI payments, (e) informing the secondary revenue forecast and (f) providing a price input used for the risk analysis.

United States. Bonneville Power Administration.

2005-11-01T23:59:59.000Z

175

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

Science Conference Proceedings (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

176

Comparison of AEO 2006 Natural Gas Price Forecast to NYMEX Futures Prices  

E-Print Network (OSTI)

Comparison of AEO 2006 Natural Gas Price Forecast to NYMEXcase long-term natural gas price forecasts from theto contemporaneous natural gas prices that can be locked in

Bolinger, Mark; Wiser, Ryan

2005-01-01T23:59:59.000Z

177

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

E-Print Network (OSTI)

Comparison of AEO 2008 Natural Gas Price Forecast to NYMEXcase long-term natural gas price forecasts from theto contemporaneous natural gas prices that can be locked in

Bolinger, Mark

2008-01-01T23:59:59.000Z

178

Comparison of AEO 2007 Natural Gas Price Forecast to NYMEX Futures Prices  

E-Print Network (OSTI)

Comparison of AEO 2007 Natural Gas Price Forecast to NYMEXcase long-term natural gas price forecasts from theto contemporaneous natural gas prices that can be locked in

Bolinger, Mark; Wiser, Ryan

2006-01-01T23:59:59.000Z

179

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

E-Print Network (OSTI)

Comparison of AEO 2009 Natural Gas Price Forecast to NYMEXcase long-term natural gas price forecasts from theto contemporaneous natural gas prices that can be locked in

Bolinger, Mark

2009-01-01T23:59:59.000Z

180

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

E-Print Network (OSTI)

approach to evaluating price risk would be to use suchthe base-case natural gas price forecast, but to alsorange of different plausible price projections, using either

Bolinger, Mark A.

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.


181

Comparison of AEO 2006 Natural Gas Price Forecast to NYMEX Futures Prices  

E-Print Network (OSTI)

this “hybrid” NYMEX-EIA gas price projection still does notcomparison with fixed- price renewable generation (becauseonly a portion of the gas price forecast – through 2010 –

Bolinger, Mark; Wiser, Ryan

2005-01-01T23:59:59.000Z

182

Ethanol and Its Effect on the U.S. Corn Market: How the Price of E-85 Influences Equilibrium Corn Prices and Equilibrium Quantity.  

E-Print Network (OSTI)

??This study analyzes the impact the market price of E-85 has on equilibrium price and quantity exchanged of corn in the U.S. market. After presenting… (more)

PINCIN, JARED

2007-01-01T23:59:59.000Z

183

Price movements in the Japanese online home electronics market  

Science Conference Proceedings (OSTI)

This article investigates the price movements of home electronics products listed on a Japanese price comparison site. Our findings are as follows. (1) Price dispersion increases at earlier stages of the product life cycle and decreases at later stages. ... Keywords: Asymmetric pricing, Comparison sites, D4, D8, Economics, Empirical research, Internet, L13, Law of one price, M3, Price dispersion

Tomonari Akimoto; Fumiko Takeda

2009-01-01T23:59:59.000Z

184

Price discovery and information diffusion in the Perth housing market 1988-2000.  

E-Print Network (OSTI)

??[Truncated abstract] This thesis examines informational efficiency and price discovery processes within the Perth housing market for the period 1988-2000 by utilising a rich source… (more)

Costello, Greg

2004-01-01T23:59:59.000Z

185

Empirical Analysis of the Spot Market Implications of Price-Elastic...  

NLE Websites -- All DOE Office Websites (Extended Search)

absence of any significant, rapid demand-side response to the wholesale (or, spot market) price. For a variety of reasons, electricity industries continue to charge most consumers...

186

Stochastic models of electricity prices and risk premia in the PJM market.  

E-Print Network (OSTI)

??With a main focus on risk premia in a US electricity market, we propose three stochastic models for electricity spot prices. Based on the proposed… (more)

Xiao, Yuewen

2012-01-01T23:59:59.000Z

187

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

DOE Green Energy (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

188

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

E-Print Network (OSTI)

The dynamics of the U.S. and Canada natural gas spot markets are evolving through deregulation policies and technological advances. Economic theory suggests that these markets will be integrated. The key question is the extent of integration among the markets. This thesis characterizes the degree of dynamic integration among 11 major natural gas markets, six from the U.S. and five from Canada, and determines each individual markets’ role in price discovery. This is the first study to include numerous Canadian markets in a North American natural gas market study. Causal flows modeling using directed acyclic graphs in conjunction with time series analysis are used to explain the relationships among the markets. Daily gas price data from 1994 to 2009 are used. The 11 natural gas market prices are tied together with nine long-run co-integrating relationships. All markets are included in the co-integration space, providing evidence the markets are integrated. Results show the degree of integration varies by region. Further results indicate no clear price leader exists among the 11 markets. Dawn market is exogenous in contemporaneous time, while Sumas market is an information sink. Henry Hub plays a significant role in the price discovery of markets in the U.S. Midwest and Northeast, but little to markets in the west. The uncertainty of a marketsprice depends primarily on markets located in nearby regions. Policy makers may use information on market integration for important policy matters in efforts of attaining efficiency. Gas traders benefit from knowing the price discovery relationships.

Olsen, Kyle

2010-12-01T23:59:59.000Z

189

Canadian Canola: Effects of the Respecification of the Futures Contract on Market Efficiency  

E-Print Network (OSTI)

Canada’s canola market is not efficient, i.e., future and spot prices do not converge as the delivery date approaches. The Winnipeg Commodity Exchange recognized the inefficiency, and moved the reference point on July 1, 1996 from Vancouver, where about 60 percent of Canada’s canola is exported, to Saskatoon and other inland cities where canola is grown. Canola and soybeans are close substitutes, and the movement of the reference point should have made canola prices mirror soybean prices closer because of an improved futures market. This result did not occur, largely because (1) the Canadian government does not permit canola to move to Vancouver by rail until it has been sold to an exporter and (2) these government restrictions have discouraged the private sector from improving upon the storage and transportation system. This paper shows that the 1995 reforms simply moved the futures market ahead of the bottleneck in the delivery process and failed to make the canola market efficient. It concludes that Canadian government attempts to regulate the transportation of canola prevent the achievement of market efficiency; such efficiency could be realized by

Darren M. Field

1998-01-01T23:59:59.000Z

190

Market structure and the price of electricity: An ex ante analysis of the deregulated Swedish electricity market  

Science Conference Proceedings (OSTI)

Following new legislation the Swedish electricity market is about to be deregulated. The new system is designed to ensure competition in production and supply. The main motive for deregulation is to increase competition and thus achieve lower market prices. A possible threat to this outcome is the high degree of concentration on the seller side that characterizes the Swedish electricity market. In this paper we show that given the current structure of firms on the supply side, deregulation is not a sufficient condition for lower equilibrium prices in the electricity market. We use a numerical model to explore the quantitative relation between the Cournot-equilibrium price, the number of firms, and the size distribution of firms in the Swedish electricity market. We compute equilibrium electricity prices and a welfare measure in order to quantify the effect of asymmetric market concentration on competition. 3 refs., 1 fig., 6 tabs.

Andersson, B.; Bergman, L. [Stockholm School of Economics (Sweden)

1995-12-31T23:59:59.000Z

191

Economics of EV Market/Future of EV Industry | Department of...  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Economics of EV MarketFuture of EV Industry Economics of EV MarketFuture of EV Industry Economics of EV MarketFuture of EV Industry Economics of EV MarketFuture of EV Industry...

192

Natural Gas Futures Prices (NYMEX) - Energy Information Administration  

U.S. Energy Information Administration (EIA)

The natural gas liquids (NGL) composite price is derived from daily Bloomberg spot price data for natural gas liquids at Mont Belvieu, Texas, ...

193

Expected Future Value Decomposition Based Bid Price Generation ...  

E-Print Network (OSTI)

EFV curves are used to define bid prices on bundles of resources directly, ... bid price is generated for each bundle, and a request to purchase the bundle is ...

194

HOUSES!an independent view of the property market Prices and Affordability Lending Activity Supply The Economy  

E-Print Network (OSTI)

term trends for house prices and asks where prices will go from here. I would like to say Halifax price Nationwide price Chart 1: Halifax and Nationwide House Price Trends SourcesHOUSES!an independent view of the property market Prices and Affordability Lending Activity Supply

Evans, Paul

195

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

196

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

Paris-Sud XI, Université de

197

Dynamic Pricing, Advanced Metering, and Demand Response in Electricity Markets  

E-Print Network (OSTI)

as Large Comm. Interval metering system with monthly dataDynamic Pricing, Advanced Metering and Demand Response inE Dynamic Pricing, Advanced Metering, and Demand Response in

Borenstein, Severin; Jaske, Michael; Rosenfeld, Arthur

2002-01-01T23:59:59.000Z

198

Central Appalachian (CAPP) coal spot prices affect markets for ...  

U.S. Energy Information Administration (EIA)

Note: Bloomberg prices for the prompt month have been shifted forward by one month to show the spot versus delivered price for the same month.

199

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

E-Print Network (OSTI)

Daily price history of 1st-nearby NYMEX natural gas futuresthe daily history of the average 5-year natural gas futuresnatural gas prices. Figure 1 shows the daily price history

Bolinger, Mark A.

2010-01-01T23:59:59.000Z

200

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

E-Print Network (OSTI)

Daily price history of 1st-nearby NYMEX natural gas futuresthe daily history of the average 5-year natural gas futuresnatural gas prices. Figure 1 shows the daily price history

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.


201

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

E-Print Network (OSTI)

revisions to the EIA’s natural gas price forecasts in AEOon the AEO 2005 natural gas price forecasts will likely onceComparison of AEO 2005 Natural Gas Price Forecast to NYMEX

Bolinger, Mark; Wiser, Ryan

2004-01-01T23:59:59.000Z

202

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

E-Print Network (OSTI)

to estimate the base-case natural gas price forecast, but toComparison of AEO 2010 Natural Gas Price Forecast to NYMEXcase long-term natural gas price forecasts from the AEO

Bolinger, Mark A.

2010-01-01T23:59:59.000Z

203

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

E-Print Network (OSTI)

of AEO 2008 Natural Gas Price Forecast to NYMEX Futurescase long-term natural gas price forecasts from the AEOto contemporaneous natural gas prices that can be locked in

Bolinger, Mark

2008-01-01T23:59:59.000Z

204

Comparison of AEO 2007 Natural Gas Price Forecast to NYMEX Futures Prices  

E-Print Network (OSTI)

of AEO 2007 Natural Gas Price Forecast to NYMEX Futurescase long-term natural gas price forecasts from the AEOto contemporaneous natural gas prices that can be locked in

Bolinger, Mark; Wiser, Ryan

2006-01-01T23:59:59.000Z

205

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

E-Print Network (OSTI)

of AEO 2009 Natural Gas Price Forecast to NYMEX Futurescase long-term natural gas price forecasts from the AEOto contemporaneous natural gas prices that can be locked in

Bolinger, Mark

2009-01-01T23:59:59.000Z

206

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

E-Print Network (OSTI)

the base-case natural gas price forecast, but to alsoof AEO 2010 Natural Gas Price Forecast to NYMEX Futurescase long-term natural gas price forecasts from the AEO

Bolinger, Mark A.

2010-01-01T23:59:59.000Z

207

Comparison of AEO 2006 Natural Gas Price Forecast to NYMEX Futures Prices  

E-Print Network (OSTI)

Comparison of AEO 2006 Natural Gas Price Forecast to NYMEXs reference case long-term natural gas price forecasts fromAEO series to contemporaneous natural gas prices that can be

Bolinger, Mark; Wiser, Ryan

2005-01-01T23:59:59.000Z

208

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

E-Print Network (OSTI)

Comparison of AEO 2009 Natural Gas Price Forecast to NYMEXs reference-case long-term natural gas price forecasts fromAEO series to contemporaneous natural gas prices that can be

Bolinger, Mark

2009-01-01T23:59:59.000Z

209

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

E-Print Network (OSTI)

revisions to the EIA’s natural gas price forecasts in AEOsolely on the AEO 2005 natural gas price forecasts willComparison of AEO 2005 Natural Gas Price Forecast to NYMEX

Bolinger, Mark; Wiser, Ryan

2004-01-01T23:59:59.000Z

210

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

E-Print Network (OSTI)

to estimate the base-case natural gas price forecast, but toComparison of AEO 2010 Natural Gas Price Forecast to NYMEXs reference-case long-term natural gas price forecasts from

Bolinger, Mark A.

2010-01-01T23:59:59.000Z

211

Comparison of AEO 2007 Natural Gas Price Forecast to NYMEX Futures Prices  

E-Print Network (OSTI)

Comparison of AEO 2007 Natural Gas Price Forecast to NYMEXs reference case long-term natural gas price forecasts fromAEO series to contemporaneous natural gas prices that can be

Bolinger, Mark; Wiser, Ryan

2006-01-01T23:59:59.000Z

212

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

E-Print Network (OSTI)

renewables can provide price certainty over longer terms. In6 This additiona l level of price discovery in longer-datedreplicate the long-term price stability that renewables can

Bolinger, Mark

2008-01-01T23:59:59.000Z

213

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

E-Print Network (OSTI)

to the EIA’s natural gas price forecasts in AEO 2004 and AEOcost comparisons of fixed-price renewable generationwith variable price gas-fired generation that are based

Bolinger, Mark; Wiser, Ryan

2004-01-01T23:59:59.000Z

214

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

215

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

E-Print Network (OSTI)

to consider coal, uranium, and other fuel prices. This workcoal-fired or nuclear generation, for example), for several reasons: (1) price

Bolinger, Mark

2009-01-01T23:59:59.000Z

216

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

E-Print Network (OSTI)

to consider coal, uranium, and other fuel prices. Finally,coal-fired or nuclear generation, for example), for several reasons: (1) price

Bolinger, Mark A.

2010-01-01T23:59:59.000Z

217

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

E-Print Network (OSTI)

Given the role electricity and natural gas sectors play in the North American economy, an understanding of how markets for these commodities interact is important. This dissertation independently characterizes the price dynamics of major electricity and natural gas spot markets in North America by combining directed acyclic graphs with time series analyses. Furthermore, the dissertation explores a generalization of price difference bands associated with the law of one price. Interdependencies among 11 major electricity spot markets are examined in Chapter II using a vector autoregression model. Results suggest that the relationships between the markets vary by time. Western markets are separated from the eastern markets and the Electricity Reliability Council of Texas. At longer time horizons these separations disappear. Palo Verde is the important spot market in the west for price discovery. Southwest Power Pool is the dominant market in Eastern Interconnected System for price discovery. Interdependencies among eight major natural gas spot markets are investigated using a vector error correction model and the Greedy Equivalence Search Algorithm in Chapter III. Findings suggest that the eight price series are tied together through sixlong-run cointegration relationships, supporting the argument that the natural gas market has developed into a single integrated market in North America since deregulation. Results indicate that price discovery tends to occur in the excess consuming regions and move to the excess producing regions. Across North America, the U.S. Midwest region, represented by the Chicago spot market, is the most important for price discovery. The Ellisburg-Leidy Hub in Pennsylvania and Malin Hub in Oregon are important for eastern and western markets. In Chapter IV, a threshold vector error correction model is applied to the natural gas markets to examine nonlinearities in adjustments to the law of one price. Results show that there are nonlinear adjustments to the law of one price in seven pair-wise markets. Four alternative cases for the law of one price are presented as a theoretical background. A methodology is developed for finding a threshold cointegration model that accounts for seasonality in the threshold levels. Results indicate that dynamic threshold effects vary depending on geographical location and whether the markets are excess producing or excess consuming markets.

Park, Haesun

2005-08-01T23:59:59.000Z

218

How many people actually see the price signal? Quantifying market failures in the end use of energy  

E-Print Network (OSTI)

the tenant. If energy prices rise (from market fluctuationsenergy consumption that is “affected” by a market failure and “insulated” from pricemarket barriers, principal agent problem, energy efficiency, investment, behaviour, energy price,

Meier, Alan; Eide, Anita

2007-01-01T23:59:59.000Z

219

Refinery Investments and Future Market Incentives  

Reports and Publications (EIA)

Presentation given at the Platts 2nd Annual Refining Marktets Conference that explored three major factors affecting incentives for refiners to invest in bottoms upgrading or expansion capacity and demand, light-heavy price differentials, and margins.

Information Center

2008-10-07T23:59:59.000Z

220

Understanding Crude Oil Prices  

E-Print Network (OSTI)

1991. “A Comparison of Petroleum Futures versus Spot PricesFutures: An Update on Petroleum, Natural Gas, Heating Oiland Its Impact on U.S. Petroleum Markets. ” Dahl, Carol and

Hamilton, James Douglas

2008-01-01T23:59:59.000Z

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.


221

Linear Clearing Prices in Non-Convex European Day-Ahead Electricity Markets  

E-Print Network (OSTI)

The European power grid can be divided into several market areas where the price of electricity is determined in a day-ahead auction. Market participants can provide continuous hourly bid curves and combinatorial bids with associated quantities given the prices. The goal of our auction is to maximize the economic surplus of all participants subject to transmission constraints and the existence of linear prices. In general strict linear prices do not exist in non-convex markets. Therefore we enforce the existence of linear prices where no one incurs a loss and only combinatorial bids might see a not realized gain. The resulting optimization problem is an MPEC that can not be solved efficiently by a standard solver. We present an exact algorithm and a fast heuristic for this type of problem. Both algorithms decompose the MPEC into a master MIP and price subproblems (LPs). The modeling technique and the algorithms are applicable to all MIP based combinatorial auctions.

Martin, Alexander; Pokutta, Sebastian

2012-01-01T23:59:59.000Z

222

Forecasting Market Prices in a Supply Chain Game Christopher Kiekintveld, Jason Miller, Patrick R. Jordan, and Michael P. Wellman  

E-Print Network (OSTI)

Forecasting Market Prices in a Supply Chain Game Christopher Kiekintveld, Jason Miller, Patrick R, to forecast market prices in the Trading Agent Com- petition Supply Chain Management Game. As a guiding, Experimentation, Measurement Keywords Forecasting, Markets, Price prediction, Trading agent competition, Supply

Wellman, Michael P.

223

Solar future: 1978. [Market forecast to 1992  

SciTech Connect

The growth in sales of solar heating equipment is discussed. Some forecasts are made for the continued market growth of collectors, pool systems, and photovoltaics. (MOW)

Butt, S.H.

1978-03-01T23:59:59.000Z

224

Natural Gas Prices Forecast Comparison--AEO vs. Natural Gas Markets  

Science Conference Proceedings (OSTI)

This paper evaluates the accuracy of two methods to forecast natural gas prices: using the Energy Information Administration's ''Annual Energy Outlook'' forecasted price (AEO) and the ''Henry Hub'' compared to U.S. Wellhead futures price. A statistical analysis is performed to determine the relative accuracy of the two measures in the recent past. A statistical analysis suggests that the Henry Hub futures price provides a more accurate average forecast of natural gas prices than the AEO. For example, the Henry Hub futures price underestimated the natural gas price by 35 cents per thousand cubic feet (11.5 percent) between 1996 and 2003 and the AEO underestimated by 71 cents per thousand cubic feet (23.4 percent). Upon closer inspection, a liner regression analysis reveals that two distinct time periods exist, the period between 1996 to 1999 and the period between 2000 to 2003. For the time period between 1996 to 1999, AEO showed a weak negative correlation (R-square = 0.19) between forecast price by actual U.S. Wellhead natural gas price versus the Henry Hub with a weak positive correlation (R-square = 0.20) between forecasted price and U.S. Wellhead natural gas price. During the time period between 2000 to 2003, AEO shows a moderate positive correlation (R-square = 0.37) between forecasted natural gas price and U.S. Wellhead natural gas price versus the Henry Hub that show a moderate positive correlation (R-square = 0.36) between forecast price and U.S. Wellhead natural gas price. These results suggest that agencies forecasting natural gas prices should consider incorporating the Henry Hub natural gas futures price into their forecasting models along with the AEO forecast. Our analysis is very preliminary and is based on a very small data set. Naturally the results of the analysis may change, as more data is made available.

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

2005-02-09T23:59:59.000Z

225

Impact of storage on the efficiency and prices in real-time electricity markets  

Science Conference Proceedings (OSTI)

We study the effect of energy-storage systems in dynamic real-time electricity markets. We consider that demand and renewable generation are stochastic, that real-time production is affected by ramping constraints, and that market players seek to selfishly ... Keywords: electricity pricing, energy economics, energy storage system, market efficiency

Nicolas Gast, Jean-Yves Le Boudec, Alexandre Proutière, Dan-Cristian Tomozei

2013-01-01T23:59:59.000Z

226

Effects of Price Signal Choices on Market Stability Hideyuki Mizuta  

E-Print Network (OSTI)

their estimates of price trend. The agents then send bids to sell or buy according to their food inventory of trend traders. In section 3 we describe the effects of using other price signals, specifically, the introduction of trend traders can produce price bubbles, as illustrated in Fig. 6. Until now we have described

Steiglitz, Kenneth

227

Price forecasting and optimal operation of wholesale customers in a competitive electricity market  

E-Print Network (OSTI)

c ? Hamidreza Zareipour 2006I hereby declare that I am the sole author of this thesis. This is a true copy of the thesis, including any required final revisions, as accepted by my examiners. I understand that my thesis may be made electronically available to the public. 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 of demand-side Bulk Electricity Market Customers (BEMCs). The Ontario electricity market is selected as the primary case market and its structure is studied in detail. A set of explanatory variable candidates is then selected accordingly, which may explain price behavior in this market. In the process of selecting the explanatory variable candidates, some important issues, such as direct or indirect effects of the variables on price behavior, availability of the variables before real-time, choice of appropriate forecasting horizon and market time-line, are taken into account. Price and demand in three neighboring electricity markets, namely, the New York, New England, and PJM electricity markets, are also considered among the explanatory variable candidates.

Hamidreza Zareipour

2006-01-01T23:59:59.000Z

228

Natural Gas Futures Prices (NYMEX) - Energy Information Administration  

U.S. Energy Information Administration (EIA)

-No Data Reported; --= Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Notes: Prices are based on ...

229

Natural Gas Futures Prices (NYMEX) - U.S. Energy Information ...  

U.S. Energy Information Administration (EIA)

-No Data Reported; --= Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Notes: Prices are based on ...

230

An Assessment of Prices of Natural Gas Futures Contracts As  

U.S. Energy Information Administration (EIA)

generally used as a financial risk management and ... explicitly encourage this view. ... The diamond-shaped points represent the average monthly spot prices at the ...

231

Hedging Future Gas Price Risk with Wind Power  

E-Print Network (OSTI)

Prices: By displacing gas-fired generation, incremental wind generation reduces demand for natural gas Department Increased Renewables Penetration Displaces Natural Gas Demand Projected Gas Displacement in 2020 Energy Technologies Division · Energy Analysis Department Natural Gas Prices Are High and Volatile 0 2 4

232

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

NLE Websites -- All DOE Office Websites (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

233

Empirical Analysis of the Spot Market Implications of Price-Responsive Demand  

E-Print Network (OSTI)

CA, USA. Siddiqui, AS (2004), “Price-Elastic Demand inand Demand Response in Electricity Markets,” CSEM Working Paper CSEM-WP-105, University of California Energy Institute, Berkeley, CA, USA.

Siddiqui, Afzal S.; Bartholomew, Emily S.; Marnay, Chris

2008-01-01T23:59:59.000Z

234

Natural Gas Marketer Prices and Sales To Residential and Commercial Customers: 2002-2005  

Reports and Publications (EIA)

This report compares residential and commercial prices collected from natural gas marketers and local distribution companies in MD, NY, OH and PA from 2002-2005 and gives the history and status of natural gas choice programs in those States.

Amy Sweeney

2007-06-29T23:59:59.000Z

235

Investment Efficiency in Competitive Electricity Markets With and Without Time-Varying Retail Prices  

E-Print Network (OSTI)

The standard economic model of efficient competitive markets relies on the ability of sellers to charge prices that vary as their costs change. Yet, there is no restructured electricity market in which most retail customers can be charged realtime prices (RTP), prices that can change as frequently as wholesale costs. We analyze the impact of having some share of customers on time-invariant pricing in competitive electricity markets. Not only does time-invariant pricing in competitive markets lead to outcomes (prices and investment) that are not first-best, it even fails to achieve the second-best optimum given the constraint of time-invariant pricing. We then study a number of policy interventions that have been proposed to address the perceived inadequacy of capacity investment. We show that attempts to correct the level of investment through taxes or subsidies on electricity or capacity are unlikely to succeed, because these interventions create new inefficiencies. We demonstrate that the most common proposal, a subsidy to capacity ownership financed by a tax on retail electricity, is particularly problematic. An alternative approach to improving efficiency, increasing the share of customers on RTP, has some surprising effects. We show that such a change lowers the equilibrium price to flat rate customers

Severin Borenstein; Stephen P. Holland

2003-01-01T23:59:59.000Z

236

Central Appalachian (CAPP) coal spot prices affect markets for ...  

U.S. Energy Information Administration (EIA)

View All Tags › View Tag Cloud › ... The FOB price is quoted at the rail or barge point of origin. ... and influence other risk management mechanisms.

237

Essays on pricing electricity and electricity derivatives in deregulated markets.  

E-Print Network (OSTI)

??This dissertation is composed of four essays on the behavior of wholesale electricity prices and their derivatives. The first essay provides an empirical model that… (more)

Popova, Julia.

2008-01-01T23:59:59.000Z

238

Agent-based competitive simulation: exploring future retail energy markets  

Science Conference Proceedings (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

239

Distributed Resources Strategic Review: Market Drivers Impacting Future Business Prospects  

Science Conference Proceedings (OSTI)

This strategic review analyzes and interprets the impact of utility industry restructuring and regulatory reform on the future market for distributed generation (DG) and, more broadly, distributed resources (DR).

1998-05-21T23:59:59.000Z

240

Managing Electricity Reliability Risk Through the Futures Markets  

E-Print Network (OSTI)

LBNL-47645 Managing Electricity Reliability Risk Through the Futures Markets Afzal S. Siddiqui Environmental Energy Technologies Division Ernest Orlando Lawrence Berkeley National Laboratory Berkeley for Operations Research and the Management Sciences INFORMS Annual Meeting in San Antonio, TX, November 2000

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

Buying Beauty: On Prices and Returns in the Art Market  

Science Conference Proceedings (OSTI)

This paper investigates the price determinants and investment performance of art. We apply a hedonic regression analysis to a new data set of more than one million auction transactions of paintings and works on paper. Based on the resulting price index, ... Keywords: art, auctions, hedonic regressions, investments, repeat-sales regressions, sentiment

Luc Renneboog; Christophe Spaenjers

2013-01-01T23:59:59.000Z

242

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

E-Print Network (OSTI)

This paper presents an empirical analysis of 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 in our analysis is the one-to-twelve month forward contract prices and the shape of the forward contract price curve, using auction data for the regional electricity trading hubs in which the building is located and auction data from the Henry Hub for natural gas. We also include weather metrics in the form of the variance in the last twelve months of minimum and maximum temperature and precipitation for each building’s location and sale date. Our final set of controls includes information on the dominant contractual leasing structure of the buildings. Our empirical results suggest that Energy Star labels do not explain additional variance in property prices once the key asset pricing factors of expenses, income and market capitalization rates are included. Energy factor market prices, the shape of the energy forward price curves, and weather metrics are consistently shown to be statistically significant determinants of office building transaction prices, suggesting that commercial office building prices are likely to be exposed to shocks in these markets.

Dwight Jaffee; Richard Stanton; Nancy Wallace

2011-01-01T23:59:59.000Z

243

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

244

Internet Advertising: Market Structure and New Pricing Methods  

Science Conference Proceedings (OSTI)

In this paper the Internet advertising market is analyzed. Data and estimates confirm that the Web represents a real threat to television and newspapers. Therefore, the main characteristics of the advertising market are described in order to point out ...

Andrea Mangàni

2000-09-01T23:59:59.000Z

245

Efficient Retail Pricing in Electricity and Natural Gas Markets: A Familiar Problem with New Challenges  

E-Print Network (OSTI)

A long line of research investigates whether the retail prices of electricity and natural gas send proper signals about scarcity in order to induce efficient consumption. Historically, regulated utilities have not designed tariffs that set marginal prices equal to marginal costs. Currently, some jurisdictions are opening the retail sectors of the gas and electricity industry to competition via “retail choice”. These new regimes replace imperfect regulation with imperfect competition as the process by which retail tariffs are formed. We discuss the challenges in evaluating the efficiency of these new pricing regimes and present descriptive evidence of how pricing has changed in markets with retail choice.

Steven L. Puller; Jeremy West

2013-01-01T23:59:59.000Z

246

Coal market fundamentals changed, yet spot prices remained stable ...  

U.S. Energy Information Administration (EIA)

Financial market analysis and financial data for major energy companies. ... Source: U.S. Energy Information Administration, Weekly Coal Production, ...

247

Credit Market Distortions, Asset Prices and Monetary Policy  

E-Print Network (OSTI)

decisions. In our framework, ?rms are committed to pay 3the wage bill before production takes place and pro?ts are realized. Although ?rms could alternatively issue new equity, this possibility is a priori excluded. In fact, due to adverse selection... prices is always bene?cial, from a welfare point of view, 4when the central bank considers a term re?ecting stock price volatility in the loss function. Our results point out that responding to asset prices misalignments might be bene?cial when strong...

Pfajfar, D; Santoro, E

248

Forecasting next-day price of electricity in the Spanish energy market using artificial neural networks  

Science Conference Proceedings (OSTI)

In this paper, next-day hourly forecasts are calculated for the energy price in the electricity production market of Spain. The methodology used to achieve these forecasts is based on artificial neural networks, which have been used successfully in recent ... Keywords: ART network, Backpropagation network, Box-Jenkins, Electricity market, Neural networks, Time series forecasting

Raúl Pino; José Parreno; Alberto Gomez; Paolo Priore

2008-02-01T23:59:59.000Z

249

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

E-Print Network (OSTI)

This paper examines 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 for the fact that stock markets may respond nonlinearly to oil price shocks, we have examined both linear and nonlinear relationships. Our findings show that there are significant links between the two variables in Qatar, Oman, and UAE. Thus, stock markets in these countries react positively to oil price

Mohamed El; Hedi Arouri; Julien Fouquau

2009-01-01T23:59:59.000Z

250

An Analysis About Market Efficiency in International Petroleum Markets: Evidence from Three Oil Commodities  

Science Conference Proceedings (OSTI)

A modified model for testing market efficiency is presented, with introducing convenience yield and using lagged spot prices to adjust risk premium. Subsequently, an examination about market efficiency in international petroleum markets is given using ... Keywords: Cointegration analysis, Convenience yield, Futures price spot price, International petroleum markets, Market efficiency, Risk premium

Wang Shuping; Li Jianping; Zhang Shulin

2007-05-01T23:59:59.000Z

251

Probabilities of Possible Future Prices (Released in the STEO April 2010)  

Reports and Publications (EIA)

EIA introduced a monthly analysis of energy price volatility and forecast uncertainty inthe October 2009 Short-Term Energy Outlook (STEO). Included in the analysis werecharts 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.

Information Center

2010-04-01T23:59:59.000Z

252

Analysis of price diffusion in financial markets using PUCK model  

E-Print Network (OSTI)

Based on the new type of random walk process called the Potentials of Unbalanced Complex Kinetics (PUCK) model, we theoretically show that the price diffusion in large scales is amplified 2/(2 + b) times, where b is the coefficient of quadratic term of the potential. In short time scales the price diffusion depends on the size M of the super moving average. Both numerical simulations and real data analysis of Yen-Dollar rates are consistent with theoretical analysis.

Mizuno, T; Takayasu, M; Mizuno, Takayuki; Takayasu, Hideki; Takayasu, Misako

2006-01-01T23:59:59.000Z

253

Unstable Price Dynamics as a Result of Information Absorption in Speculative Markets  

E-Print Network (OSTI)

In speculative markets, risk-free profit opportunities are eliminated by traders exploiting them. Markets are therefore often described as "informationally efficient", rapidly removing predictable price changes, and leaving only residual unpredictable fluctuations. This classical view of markets absorbing information and otherwise operating close to an equilibrium is challenged by extreme price fluctuations, in particular since they occur far more frequently than can be accounted for by external news. Here we show that speculative markets which absorb mainly self-generated information can exhibit both: evolution towards efficient equilibrium states as well as their subsequent destabilization. This peculiar dynamics, a generic instability arising from an adaptive control which annihilates predictable information, is realized in a minimal agent-based market model where the impacts of agents' strategies adapt according to their trading success. This adaptation implements a learning rule for the market as a whole...

Patzelt, Felix

2012-01-01T23:59:59.000Z

254

Oil futures price curve has steepened over the past six months ...  

U.S. Energy Information Administration (EIA)

... the future can be used as an indicator of longer term supply and demand expectations. Costs to store oil, opportunity costs associated with long-term market ...

255

Want to Put an End to Capacity Markets? Think Real-Time Pricing  

Science Conference Proceedings (OSTI)

The amount of generation capacity that must be installed to meet resource adequacy requirements often causes the energy market to be suppressed to the point that it fails to produce sufficient revenues to attract new entry. A significant expansion in the use of real-time pricing can, over time, cause the energy market to become a more bountiful source of revenues for generators, allowing the elimination of the capacity market. (author)

Reeder, Mark

2006-07-15T23:59:59.000Z

256

Price discovery in auction markets: A look inside the black box  

E-Print Network (OSTI)

This paper examines the process of price discovery at the New York Stock Exchange (NYSE) single price opening auction. Interest in this topic is motivated by the crucial role played by opening mechanisms in information aggregation following the overnight non-trading period. In addition, the operation of auction markets is an issue of considerable importance for new, automated trading systems as well as extant exchanges. We show empirically that specialists significantly facilitate price discovery. Specifically, the opening price set by the specialist is more efficient than the price that would prevail in a pure auction with only public orders. This is consistent with a model where specialists learn from observing the evolution of the limit order book. The specialist’s opening trade reflects private information and non-informational factors such as inventory control and price continuity. We discuss the empirical and policy implications of these results.

Ananth Madhavan; Venkatesh Panchapagesan; Frank Hatheway; Patrik S; George Sofianos

2000-01-01T23:59:59.000Z

257

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

E-Print Network (OSTI)

March. Neenan, B. (1992) “Electricity A La Carte” ElectricPrice Responsive? ” The Electricity Journal 15(3): 52-59.ahead Wholesale Market Electricity Prices: Case Study of RTP

2004-01-01T23:59:59.000Z

258

Controlling Market Power and Price Spikes in Electricity Networks: Demand-side Bidding  

E-Print Network (OSTI)

Simona Lup, Jia Jing Liu and Stephen Sosnicki for help with running the experiments and testing the software. This paper has benefited from comments from Kevin McCabe, Mark Olson, Dave Porter, and Stan Reynolds, but all errors are our own. The data are available upon request from the authors. Controlling Market Power and Price Spikes in Electricity Networks: Demand-Side Bidding In this paper we report experiments that examine how two structural features of electricity networks contribute to the exercise of market power in deregulated markets. The first feature is the distribution of ownership of a given set of generating assets. In the market power treatment, two large firms are allocated baseload and intermediate cost generators such that either firm might unilaterally withhold the capacity of its intermediate cost generators from the market to benefit from the supracompetitive prices that would result from only selling its baseload units. In the converse treatment, ownership of some of the intermediate cost generators is transferred from each of these firms to two other firms, so that no one firm could unilaterally restrict output to spawn supra-competitive prices. The second feature explores how the presence of line constraints in a radial network may segment the market and promote supra-competitive pricing in the isolated market segments. We also consider the interaction effect when both of these structural features are present. Having established a wellcontrolled data set with price spikes paralleling those observed in the naturally occurring economy, we also extend the design to include demand-side bidding. We find that demand-side bidding completely neutralizes the exercise of market power and eliminates price spikes.

Stephen J. Rassenti; Vernon L. Smith; Bart J. Wilson

2003-01-01T23:59:59.000Z

259

Geothermal Energy Market Study on the Atlantic Coastal Plain. A Review of Recent Energy Price Projections for Traditional Space Heating Fuel 1985-2000  

DOE Green Energy (OSTI)

In order to develop an initial estimate of the potential competitiveness of low temperature (45 degrees C to 100 degrees C) geothermal resources on the Eastern Coastal Plain, the Center for Metropolitant Planning and Research of The Johns Hopkins University reviewed and compared available energy price projections. Series of projections covering the post-1985 period have been made by the Energy Information Administration, Brookhaven National Laboratory, and by private research firms. Since low temperature geothermal energy will compete primarily for the space and process heating markets currently held by petroleum, natural gas, and electricity, projected trends in the real prices for these fuels were examined. The spread in the current and in projected future prices for these fuels, which often serve identical end uses, underscores the influence of specific attributes for each type of fuel, such as cleanliness, security of supply, and governmental regulation. Geothermal energy possesses several important attributes in common with electricity (e.g., ease of maintenance and perceived security of supply), and thus the price of electric space heating is likely to be an upper bound on a competitive price for geothermal energy. Competitiveness would, of course, be increased if geothermal heat could be delivered for prices closer to those for oil and natural gas. The projections reviewed suggest that oil and gas prices will rise significantly in real terms over the next few decades, while electricity prices are projected to be more stable. Electricity prices will, however, remain above those for the other two fuels. The significance of this work rests on the fact that, in market economies, prices provide the fundamental signals needed for efficient resource allocation. Although market prices often fail to fully account for factors such as environmental impacts and long-term scarcity value, they nevertheless embody a considerable amount of information and are the primary guideposts for suppliers and consumers.

Weissbrod, Richard; Barron, William

1979-03-01T23:59:59.000Z

260

Advanced fuel cells and their future market  

Science Conference Proceedings (OSTI)

The advantages of fuel cells over competing technologies are outlined. These include higher fuel-efficiency (and thus lower fuel costs) and financial credits that may help reduce the effective introductory capital costs and thus help broaden the market. The credits for fuel cells result from their modularity, relative independence of efficiency on size and load, dispersibility, and rapid installation time. The fuel cell of primary interest in the United States and Japan is the PAFC (whose operation is limited by materials problems to ca. 200{degrees}C), because it is the most highly developed for use with natural gas or clean light distillate fuels. Competing fuel cell (FC) technologies are the alkaline fuel cell (AFC, limited to 80{degrees}C if inexpensive construction materials are used), the molten carbonate fuel cell (MCFC, 650{degrees}C), and the solid oxide fuel cell (SOFC, 1000{degrees}C). The author focuses on the MCFC in this paper.

Appleby, A.J. (Electric Power Research Inst., Palo Alto, CA (US))

1988-01-01T23:59:59.000Z

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.


261

Biofuel policy and stock price in imperfectly competitive markets.  

E-Print Network (OSTI)

??The increase in demand for corn as a biofuel feedstock has had a significant impact on the agricultural markets in the United States. These include… (more)

Tepe, Fatma Sine

2010-01-01T23:59:59.000Z

262

Model documentation: Electricity market module, electricity finance and pricing submodule  

SciTech Connect

The purpose of this report is to define the objectives of the model, describe its basic approach, and provide detail on how it works. The EFP is a regulatory accounting model that projects electricity prices. The model first solves for revenue requirements by building up a rate base, calculating a return on rate base, and adding the allowed expenses. Average revenues (prices) are calculated based on assumptions regarding regulator lag and customer cost allocation methods. The model then solves for the internal cash flow and analyzes the need for external financing to meet necessary capital expenditures. Finally, the EFP builds up the financial statements. The EFP is used in conjunction with the National Energy Modeling System (NEMS). Inputs to the EFP include the forecast generating capacity expansion plans, operating costs, regulator environment, and financial data. The outputs include forecasts of income statements, balance sheets, revenue requirements, and electricity prices.

1994-04-07T23:59:59.000Z

263

Credit Supply and House Prices: Evidence from Mortgage Market Segmentation ?  

E-Print Network (OSTI)

We show that easier access to mortgage credit significantly increases house prices by using exogenous changes in the conforming loan limit as an instrument for easier credit supply and cheaper cost of credit. We find that houses that become eligible for financing with a conforming loan show an increase in house value of 1.1 dollars per square foot (for an average price per square foot of 224 dollars) and higher overall house prices controlling for a rich set of house characteristics. These coefficients are consistent with a local elasticity of house prices to interest rates below 6. In addition, loan to value ratios around the conforming loan limit deviate significantly from the common 80 percent norm, which confirms that it is an important factor in the financing choices of home buyers. In line with our interpretation, the results are stronger in the first half of our sample (1998-2001) when the conforming loan limit was more important, given that other forms of financing were less common and substantially more expensive.

Manuel Adelino; Antoinette Schoar; Felipe Severino; We Thank Viral Acharya; Gustavo Manso; Atif Mian; Sendhil Mullainathan; Chris Mayer; David Scharfstein; Mathew Slaughter; Jeremy Stein; Bill Wheaton

2011-01-01T23:59:59.000Z

264

Winter (November-March) natural gas futures prices at lowest ...  

U.S. Energy Information Administration (EIA)

The Henry Hub, in Erath, Louisiana, is the physical delivery location for the NYMEX natural gas futures contract. Sabine Pipeline is the operator of the Henry Hub.

265

Information, Alternative Markets, and Security Price Processes: A Survey of Literature  

E-Print Network (OSTI)

In this paper, we survey a wide range of theoretical and empirical papers on derivatives markets to address the information contents of trading activities in derivatives markets. Both theoretical and empirical research on options market and futures market indicate that the presence of alternative markets may be a factor for informed traders ’ presence in one of or in both markets to trade on their information. One group of researchers support the hypothesis that information reflects in derivatives market first and underlying stock market lags in information transmission. Another group of researchers support the hypothesis that information reflects in stock markets first and trading activities in derivatives markets are not significant. Since researchers are not in agreement in this issue, it raises a potential for further research on different activities of derivatives market.

Rafiqul Bhuyan

2002-01-01T23:59:59.000Z

266

notice, is given to the source. On the Efficiency of Competitive Electricity Markets With Time-Invariant Retail Prices  

E-Print Network (OSTI)

The standard economic model of efficient competitive markets relies on the ability of sellers to charge prices that vary as their costs change. Yet, there is no restructured electricity market in which most retail customers can be charged realtime prices (RTP), prices that can change as frequently as wholesale costs. We analyze the impact of having some share of customers on time-invariant pricing in competitive electricity markets. Not only does time-invariant pricing in competitive markets lead to outcomes (prices and investment) that are not first-best, it even fails to achieve the second-best optimum given the constraint of time-invariant pricing. We then show that attempts to correct the level of investment through taxes or subsidies on electricity or capacity are unlikely to succeed, because these interventions create new inefficiencies. In contrast, increasing the share of customers

Severin Borenstein; Stephen P. Holland; We Thank Jim Bushnell; Joe Farrell; Morten Hviid; Erin Mansur; Michael Riordan; Lawrence White; Severin Borenstein; Stephen P. Holl

2003-01-01T23:59:59.000Z

267

Does property market risks matter in commercial mortgage loan pricing : an inquiry into the determinants of commercial mortgage loan spread  

E-Print Network (OSTI)

The study takes a quantitative approach to test the determinants of commercial mortgage loan pricing at origination. The determinants include capital market risk, property market risks, mortgage terms and property ...

Wang, Xin, S.M. Massachusetts Institute of Technology

2007-01-01T23:59:59.000Z

268

Spot pricing of electricity and ancillary services in a competitive California market  

Science Conference Proceedings (OSTI)

Typically, in competitive electricity markets, the vertically integrated utilities that were responsible for ensuring system reliability in their own service territories, or groups of territories, cease to exist. The burden falls to an independent system operator (ISO) to ensure that enough ancillary services (AS) are available for safe, stable, and reliable operation of the grid, typically defined, in part, as compliance with officially approved engineering specifications for minimum levels of AS. In order to characterize the behavior of market participants (generators, retailers, and an ISO) in a competitive electricity market with reliability requirements, spot markets for both electricity and AS are modeled. By assuming that each participant seeks to maximize its wealth and that all markets clear, we solve for the optimal quantities of electricity and AS traded in the spot market by all participants, as well as the market clearing prices for each.

Siddiqui, A.S.; Marnay, C.; Khavkin, M.

2000-11-01T23:59:59.000Z

269

FIRST PRICE AND SECOND PRICE AUCTION MODELLING FOR ENERGY CONTRACTS IN LATIN AMERICAN ELECTRICITY MARKETS  

E-Print Network (OSTI)

demand growth. Current electricity market designs are being reviewed to avoid supply difficulties concept, named "capacity tag" for each plant is being proposed and in the FERC/EU direc- tives in the US INTERRUPTED MARKETS OPERATING COUNTRIES WITH POWER ADJUSTMENTS INTHE REFORM PROCESS INTERESTED INTHE NEW

Rudnick, Hugh

270

Contract No. DE-AC03-76SF00098. Price-Elastic Demand in Deregulated Electricity Markets  

E-Print Network (OSTI)

The degree to which anyderegulated market functions e ciently often depends on the ability ofmarket agents to respond quickly to uctuating conditions. Many restructured electricity markets, however, experience high prices caused by supply shortages and little demand-side response. We examine the implications for market operations when a risk-averse retailer's end-use consumers are allowed to perceive real-time variations in the electricity spot price. Using a market-equilibrium model, we nd that price elasticity bothincreases the retailer's revenue risk exposure and decreases the spot price. Since the latter induces the retailer to reduce forward electricity purchases, while the former has the opposite e ect, the overall impact of price responsive demand on the electricity forward price is ambiguous. Indeed, each retailer's response depends on the relative magnitudes of its risk exposure and end-user price elasticity. Nevertheless, price elasticity decreases cumulative electricity consumption. By extending the analysis to allow for early settlement of demand, we nd that forward stage end-user price responsiveness decreases the electricity forward price relative to the case with price-elastic demand only in real time. Moreover, we nd that only if forward stage end-user demand is price elastic will the equilibrium electricity forward price be reduced.

Afzal S. Siddiqui; Afzal S. Siddiqui

2003-01-01T23:59:59.000Z

271

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

Science Conference Proceedings (OSTI)

ABSTRACT=Demand response (DR) is increasingly recognized asan essential ingredient to well-functioning electricity markets. DRmarket potential studies can answer questions about the amount of DRavailable in a given area, from which market segments. Several recent DRmarket potential studies have been conducted, most adapting techniquesused to estimate energy-efficiency (EE) potential. In this scoping study,we: reviewed and categorized seven recent DR market potential studies;recommended a methodology for estimating DR market potential for large,non-residential utility customers that uses price elasticities to accountfor behavior and prices; compiled participation rates and elasticityvalues from six DR options offered to large customers in recent years,and demonstrated our recommended methodology with large customer marketpotential scenarios at an illustrative Northeastern utility. We recommendan elasticity approach for large-customer DR options that rely oncusto!

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

2007-06-01T23:59:59.000Z

272

Customer Strategies for Responding to Day-Ahead Market HourlyElectricity Pricing  

Science Conference Proceedings (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

273

Protecting the Market from ``Hockey Stick'' Pricing: How  

E-Print Network (OSTI)

at the Market Oversight Division of the Public Utility Commission of Texas in Austin. His duties involve the University of Texas at Austin. Shmuel Oren is Professor of Industrial Engineering and Operations Research stick strategy involves offers of a small, expendable quantity of energy or capacity well in excess

Oren, Shmuel S.

274

Application of a new hybrid neuro-evolutionary system for day-ahead price forecasting of electricity markets  

Science Conference Proceedings (OSTI)

In this paper, a new forecast strategy is proposed for day-ahead prediction of electricity prices, which are so valuable for both producers and consumers in the new competitive electric power markets. However, electricity price has a nonlinear, volatile ... Keywords: Evolutionary algorithm, Hybrid neuro-evolutionary system, Neural network, Price forecast

Nima Amjady; Farshid Keynia

2010-06-01T23:59:59.000Z

275

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

276

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

E-Print Network (OSTI)

of global environment and energy challenges, thereby contributing to informed debate about climate changeUsing market-based dispatching with environmental price signals to reduce emissions and water use with independent policy analysis to provide a solid foundation for the public and private decisions needed

277

Price strategies in dynamic duopolistic markets with deregulated electricity supplies using mixed strategies  

Science Conference Proceedings (OSTI)

While effective competition can force service providers to seek economically efficient methods to reduce costs, the deregulated electricity supply industry still allows some generators to exercise market power at particular locations, thereby preventing ... Keywords: deregulated electricity supplies, mixed strategies, price strategies

Jose B. Cruz, Jr.; Xiaohuan Tan

2005-10-01T23:59:59.000Z

278

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

E-Print Network (OSTI)

of circumstances. In the electric power industry, studying the costs of load forecasting errors has been a topic forecast in electric load forecasting models is discussed in [21]. The findings of [19]­[21] are consistentIEEE TRANSACTIONS ON POWER SYSTEMS 1 Economic Impact of Electricity Market Price Forecasting Errors

Cañizares, Claudio A.

279

Price strategies in dynamic duopolistic markets with deregulated electricity supplies using mixed strategies  

Science Conference Proceedings (OSTI)

While effective competition can force service providers to seek economically efficient methods to reduce costs, the deregulated electricity supply industry still allows some generators to exercise market power at particular locations, thereby preventing ... Keywords: Deregulated electricity supplies, Mixed strategies, Price strategies

Jose B. Cruz, Jr.; Xiaohuan Tan

2005-10-01T23:59:59.000Z

280

A Price Dynamics in Bandwidth Markets for Point-to-point Connections  

E-Print Network (OSTI)

We simulate a network of N routers and M network users making concurrent point-to-point connections by buying and selling router capacity from each other. The resources need to be acquired in complete sets, but there is only one spot market for each router. In order to describe the internal dynamics of the market, we model the observed prices by N-dimensional Ito-processes. Modeling using stochastic processes is novel in this context of describing interactions between end-users in a system with shared resources, and allows a standard set of mathematical tools to be applied. The derived models can also be used to price contingent claims on network capacity and thus to price complex network services such as quality of service levels, multicast, etc.

Lars Rasmusson; Erik Aurell

2001-02-15T23:59:59.000Z

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

Natural Gas Prices Forecast Comparison--AEO vs. Natural Gas Markets  

E-Print Network (OSTI)

Natural Gas Prices . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .Natural Gas Prices . . . . . . . . . . . . . . . . . . . . . . . . . .versus AEO and Henry Hub Natural Gas Prices . . . . . .

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

2005-01-01T23:59:59.000Z

282

Natural Gas Prices Forecast Comparison--AEO vs. Natural Gas Markets  

E-Print Network (OSTI)

Gas Prices . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .Gas Prices . . . . . . . . . . . . . . . . . . . . . . . . . .versus AEO and Henry Hub Natural Gas Prices . . . . . .

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

2005-01-01T23:59:59.000Z

283

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

284

Empirical Analysis of the Spot Market Implications ofPrice-Responsive Demand  

SciTech Connect

Regardless of the form of restructuring, deregulatedelectricity industries share one common feature: the absence of anysignificant, rapid demand-side response to the wholesale (or, spotmarket) price. For a variety of reasons, most electricity consumers stillpay an average cost based regulated retail tariff held over from the eraof vertical integration, even as the retailers themselves are oftenforced to purchase electricity at volatile wholesale prices set in openmarkets. This results in considerable price risk for retailers, who aresometimes additionally forbidden by regulators from signing hedgingcontracts. More importantly, because end-users do not perceive real-time(or even hourly or daily) fluctuations in the wholesale price ofelectricity, they have no incentive to adjust their consumptionaccordingly. Consequently, demand for electricity is highly inelastic,which together with the non storability of electricity that requiresmarket clearing over very short time steps spawn many other problemsassociated with electricity markets, such as exercise of market power andprice volatility. Indeed, electricity generation resources can bestretched to the point where system adequacy is threatened. Economictheory suggests that even modest price responsiveness can relieve thestress on generation resources and decrease spot prices. To quantify thiseffect, actual generator bid data from the New York control area is usedto construct supply stacks and intersect them with demand curves ofvarious slopes to approximate the effect of different levels of demandresponse. The potential impact of real-time pricing (RTP) on theequilibrium spot price and quantity is then estimated. These resultsindicate the immediate benefits that could be derived from a moreprice-responsive demand providing policymakers with a measure of howprices can be potentially reduced and consumption maintained within thecapability of generation assets.

Siddiqui, Afzal S.; Bartholomew, Emily S.; Marnay, Chris

2005-08-01T23:59:59.000Z

285

The world oil market and OPEC behavior: The leak-producer price leader model  

SciTech Connect

This is an economic study of the world's oil market in which OPEC plays the central role in determining the oil supply and price. Understanding OPEC's behavior is at the core of understanding the world's oil market. However, oil is a resource belonging to the family of natural resources known as exhaustible. We do not produce oil; we only extract and distribute a fixed amount of the resource over generations. Optimal extraction is a matter of concern to both suppliers and consumers. First, it is shown that using the traditional theory of producers behavior in the conventional commodity markets to explain extractors behavior in exhaustible resource markets is completely wrong. Second, current models of OPEC behavior are reviewed. Third, an alternative model is introduced. Previous authors have not directed their models to give explanations to the peculiar observations in oil market. This model divides the world's oil suppliers into: the free riders (non-OPEC oil producers), the OPEC hawks (a group within OPEC) and the leak-producer price leader (Saudi Arabia). Three factors, namely relatively big oil reserves, no other sources of income, and the avoidance of the so-called backstop technology make Saudi Arabia more interested in lower oil prices than are other oil extractors.

Aboalela, A.A.

1988-01-01T23:59:59.000Z

286

What were the key energy commodity price trends in 2011?  

Reports and Publications (EIA)

Energy commodity price trends varied widely during 2011. Crude oil and petroleum products prices increased during 2011, while natural gas, coal, and electricity prices declined. This article provides an overview of key energy commodity price trends in 2011 based on prices seen in futures markets.

2012-02-14T23:59:59.000Z

287

PRICE SPECULATION  

E-Print Network (OSTI)

The price of crude oil in the U.S. had never exceeded $40 per barrel until mid-2004. By 2006 it reached $70 per barrel, and in July 2008 it reached a peak of $145. By the end of 2008 it had plummeted to about $30 before increasing again, reaching about $110 in 2011. Are “speculators ” to blame for at least part of the volatility and sharp run-ups in price? We clarify the potential and actual effects of speculators, and investors in general, on commodity prices. We focus on crude oil, but our approach can be applied to other commodities. We first address the question of what is meant by “oil price speculation, ” and how it relates to investments in oil reserves, oil inventories, or oil price derivatives (such as futures contracts). Next we outline the ways in which one could speculate on oil prices. Finally, we turn to the data, and calculate counterfactual prices that would have occurred from 1999 to 2012 in the absence of speculation. Our framework is based on a simple and transparent model of supply and demand in the cash and storage markets for a commodity. It lets us determine whether speculation as the driver of price changes is consistent with the data on production, consumption, inventory changes, and changes in convenience yields given reasonable elasticity assumptions. We show speculation had little, if any, effect on prices and volatility.

Christopher R. Knittel; Robert S. Pindyck; Christopher R. Knittel; Robert S. Pindyck

2013-01-01T23:59:59.000Z

288

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

E-Print Network (OSTI)

This study proposes two methods, (1) a probabilistic method based on historical oil prices and (2) a method based on Gaussian simulation, to model future prices of oil. With these methods to model future oil prices, we can calculate the ranges of uncertainty in traditional probability indicators based on cash flow analysis, such as net present values, net present value to investment ratio and internal rate of return. We found that conventional methods used to quantify uncertainty which use high, low and base prices produce uncertainty ranges far narrower than those observed historically. These methods fail because they do not capture the "shocks" in oil prices that arise from geopolitical events or supply-demand imbalances. Quantifying uncertainty is becoming increasingly important in the petroleum industry as many current investment opportunities in reservoir development require large investments, many in harsh exploration environments, with intensive technology requirements. Insight into the range of uncertainty, particularly for downside, may influence our investment decision in these difficult areas.

Mendjoge, Ashish V

2003-12-01T23:59:59.000Z

289

Dynamical Theory of Price and Money in Volatile Markets. A Physicist's Reaction to Economics  

E-Print Network (OSTI)

The creation and annihilation of money and its economic effects are reviewed. Economic values appear "in the mind" of the market participants; e.g., by pretending, maintaining and achieving a particular price for a certain asset. Upon its creation by banks, this kind of "value phantasy" is converted into "real money" often in terms of buyer's debt accompanied by a simultaneous payment of fiat money to the seller. This money is then multiplied on the money market and is competing against other money supplies for the traded assets, goods and services, where it may cause dilution, inflation and reallocation of resources.

Svozil, Karl

2008-01-01T23:59:59.000Z

290

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

E-Print Network (OSTI)

Agency. IEA, 2009, Energy prices and taxes, Working paper,prices, the shape of the energy price curves, and weatherto high and volatile energy prices. Most economists would

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

2010-01-01T23:59:59.000Z

291

Asymmetric Price Adjustment and Consumer Search: An Examination of the Retail Gasoline Market  

E-Print Network (OSTI)

Respond Asymmet- rically to Crude Oil Price Changes? ” Theof the Pricing of Crude Oil and Petroleum Products. ” Reportwholesale gasoline prices. Crude oil prices are obviously

Lewis, Matt

2004-01-01T23:59:59.000Z

292

Hedging Strategies and the Economic Effects of Price Spikes in the Electricity Market  

E-Print Network (OSTI)

This thesis concerns the newly deregulated Swedish electricity market. More specifically it concerns the large sudden increases in the spot price of electricity, i.e. price spikes, and what can be done in order to minimise the risk associated with price spikes by the use of hedging strategies. We have focused on smaller electricity trading companies. Our research questions are formulated below. • Which of our constructed hedging strategies will be the most advantageous to use in terms of reducing the risk associated with price spikes and at the same time produce the best total result over the year? • What are the most critical issues that will improve the performance of a smaller electricity trading company’s hedging strategy? Our results reveal that the strategy consisting of more precise hedging instruments is the most appropriate in terms of reducing the negative economic effects of price spikes. We also show that there is a need for electricity trading companies to put more emphasis on implementing a broader risk management strategy. Our research shows that the option strategy was successful and we recommend electricity traders to consider options as a tool in their hedging strategy.

Jan Hermansson; Johan Westberg; Graduate Business School; Printed Elanders; Novum Ab Abstract

2002-01-01T23:59:59.000Z

293

Determining market power in deregulated generation markets by measuring price-cost margins  

Science Conference Proceedings (OSTI)

In this article. the author considers one of the more prominent examples of the SFE type by Aleksandr Rudkevich, Max Duckworth, and Richard Rosen (RDR). The conclusion of their paper, that fewer than 30 competitive firms (or, equivalently, an HHI over 333) likely constitute an impermissibly concentrated market, is a startling one, since it is unlikely that any deregulated electricity market will have this many competitors. In examining the source of the RDR conclusion in some detail and seeing where it goes awry, the author thinks it is possible to glean principles that can guide regulators to draw more sensible conclusions about the number of competitors required in these markets.

Falk, J.

1998-07-01T23:59:59.000Z

294

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

E-Print Network (OSTI)

This dissertation examines three important issues in energy markets: price dynamics, information flow, and structural change. We discuss each issue in detail, building empirical time series models, analyzing the results, and interpreting the findings. First, we examine the contemporaneous interdependencies and information flows among crude oil, natural gas, and electricity prices in the United States (US) through the multivariate generalized autoregressive conditional heteroscedasticity (MGARCH) model, Directed Acyclic Graph (DAG) for contemporaneous causal structures and Bernanke factorization for price dynamic processes. Test results show that the DAG from residuals of out-of-sample-forecast is consistent with the DAG from residuals 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 indicators by using a Factor Augmented Vector Autoregression (FAVAR) model and a graphical model without any deductive assumption. The results show that, in contemporaneous time, the federal fund rate shock is exogenous as the identifying assumption in the Vector Autoregression (VAR) framework of the monetary shock transmission mechanism, whereas the WTI crude oil price return is not exogenous. Third, we examine price dynamics and contemporaneous causality among the price returns of WTI crude oil, gasoline, corn, and the S&P 500. We look for structural break points and then build an econometric model to find the consistent sub-periods having stable parameters in a given VAR framework and to explain recent movements and interdependency among returns. We found strong evidence of two structural breaks and contemporaneous causal relationships among the residuals, but also significant differences between contemporaneous causal structures for each sub-period.

Hong, Sung Wook 1977-

2012-12-01T23:59:59.000Z

295

International market integration for natural gas? : a cointegration analysis of priced in Europe, North America and Japan  

E-Print Network (OSTI)

We examine the degree of natural gas market integration in Europe, North America and Japan, between the mid 1990?s and 2002. Our hypothesis is that there was a certain split of prices between Europe and North America. The ...

L'Hegaret, Guillaume

2004-01-01T23:59:59.000Z

296

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.

297

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

E-Print Network (OSTI)

Meeting carbon targets requires decarbonising electricity. The least cost strategy involves nuclear power. In a liberalised electricity market, the price of electricity is set by fossil generation whose input costs are volatile but correlated with electricity prices. Nuclear power lacks that hedged and its finance is threatened by low and uncertain EUA prices. The increasing share of intermittent renewables exacerbates price risk. I propose changes to market design and the transmission access regime, while in the absence of an EU-wide reform to the ETS, a carbon tax seems the cheapest and fiscally most responsible way to deliver decarbonised electricity. Keywords JEL Classification Nuclear power, intermittent renewables, wholesale electricity markets, market design, transmission access, balancing, carbon tax

David M. Newbery; David M. Newbery

2010-01-01T23:59:59.000Z

298

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 on hauling rates and freight differentials

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

2003-08-25T23:59:59.000Z

299

Uncertainty Representation: Estimating Process Parameters for Forward Price Forecasting  

Science Conference Proceedings (OSTI)

Market prices set the value of electric power assets and contracts, yet forward prices are unavailable for time horizons relevant to most valuations. Price forecasts are inherently uncertain because the drivers of prices are uncertain, but equilibrating market forces also work to reduce the growth of uncertainty over time. Consequently, quantifying the degree of future price uncertainty is difficult, but has tremendous strategic potential for power companies seeking to value real options and invest in fl...

1999-12-10T23:59:59.000Z

300

Natural Gas Prices Forecast Comparison--AEO vs. Natural Gas Markets  

E-Print Network (OSTI)

underestimate natural gas prices. The trends changed afterestimate natural gas prices. These trends suggest that

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

2005-01-01T23:59:59.000Z

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.


301

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

302

A Hybrid ARCH-M and BP Neural Network Model For GSCI Futures Price Forecasting  

Science Conference Proceedings (OSTI)

As a versatile investment tool in energy markets for speculators and hedgers, the Goldman Sachs Commodity Index (GSCI) futures are quite well known. Therefore, this paper proposes a hybrid model incorporating ARCH family models and ANN model to forecast ... Keywords: ANN, ARCH-M, Commodity Index, Forecasting, GSCI

Wen Bo; Wang Shouyang; K. K. Lai

2007-05-01T23:59:59.000Z

303

An economist`s overview: Recent developments affecting future oil supply, prices  

SciTech Connect

This article features a discussion of the production of crude oil in non-OPEC countries compared to OPEC countries and concludes that while OPEC has lost significant market share over a fifteen-year period, it has regained much of that loss over the past five years. Also included is refining netback data as of December 22th for the US Gulf Coast, US West Coast, Singapore, and Rotterdam. Prices and taxes (US$) for fuels in North and South America are also given.

NONE

1995-12-29T23:59:59.000Z

304

Export markets gain strength  

SciTech Connect

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

305

Agent-based simulations of the software market under different pricing schemes for software-as-a-service and perpetual software  

Science Conference Proceedings (OSTI)

In this paper, we present agent-based simulations that model the interactions between software buyers and vendors in a software market that offers Software-as-a-Service (SaaS) and perpetual software (PS) licensing under different pricing schemes. In ... Keywords: agentbased simulation, analytic hierarchy process (AHP), decision support, dynamic pricing, perpetual software pricing, software-as-a-service pricing

Juthasit Rohitratana; Jörn Altmann

2010-08-01T23:59:59.000Z

306

Capacity Markets for Electricity  

E-Print Network (OSTI)

the prevailing PJM energy market price. The demand in thethe prevailing national energy market price. Last, suppliersraising the national energy market price cap P up to f, in

Creti, Anna; Fabra, Natalia

2004-01-01T23:59:59.000Z

307

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

308

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

309

Gas Market Transition: Impacts of Power Generation on Gas Pricing Dynamics  

Science Conference Proceedings (OSTI)

The power sector is beginning to influence the natural gas market, affecting both total natural gas demand and aspects of natural gas price behavior. This report offers a single source that quantifies these influences. With the addition of new gas-fired generating capacity, the use of gas generation in the power sector has grown steadily. However, this progression was arrested after 2002 when the brunt of overbuilding was felt, and gas use in the power sector migrated to ever more efficient units. While ...

2005-03-16T23:59:59.000Z

310

Empirical Analysis of the Spot Market Implications of Price-Responsive Demand  

E-Print Network (OSTI)

are exposed to real-time electricity prices, they can adjustCustomers Respond to Electricity Price Variability: A Studyhours lowers the electricity spot price and reduces needed

Siddiqui, Afzal S.; Bartholomew, Emily S.; Marnay, Chris

2008-01-01T23:59:59.000Z

311

Western cattle prices vary across video markets and value-adding programs  

E-Print Network (OSTI)

results show average price differences between the regionthe highest average prices. † These values are statisticallyfactors affecting cow auction price differentials. Southern

Blank, Steven C.; Boriss, Hayley; Forero, Larry C.; Nader, Glenn A.

2006-01-01T23:59:59.000Z

312

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

313

Asymmetric Price Adjustment and Consumer Search: An Examination of the Retail Gasoline Market  

E-Print Network (OSTI)

Asymmet- rically to Crude Oil Price Changes? ” The Quarterlyin West Texas Crude Oil Price Robust-Clustered standardin West Texas Crude Oil Price Robust-Clustered standard

Lewis, Matt

2004-01-01T23:59:59.000Z

314

Video market data for calves and yearlings confirms price discounts for Western cattle  

E-Print Network (OSTI)

highest average nominal prices. ) Results not adjusted fordiscounted. For TABLE 4. Price premiums for value-addedhighest average nominal prices. ) Results not adjusted for

Blank, Steven; Forero, Larry C.; Nader, Glenn A.

2009-01-01T23:59:59.000Z

315

Asymmetric Price Adjustment and Consumer Search: An Examination of the Retail Gasoline Market  

E-Print Network (OSTI)

Search with Learning from Prices: Does In- creased In?Gilbert (1997) “Do Gasoline Prices Respond Asymmet- ricallyto Crude Oil Price Changes? ” The Quarterly Journal of

Lewis, Matt

2004-01-01T23:59:59.000Z

316

The Speed of Gasoline Price Response in Markets With and Without Edgeworth Cycles  

E-Print Network (OSTI)

Eckert, Andrew, “Retail Price Cycles and the Presence ofLewis, Matthew, “Asymmetric Price Adjustment and ConsumerTemporary Wholesale Gasoline Price Spikes have Long-lasting

Lewis, Matt; Noel, Michael

2009-01-01T23:59:59.000Z

317

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

Science Conference Proceedings (OSTI)

There is growing interest in policies, programs and tariffs that encourage customer loads to provide demand response (DR) to help discipline wholesale electricity markets. Proposals at the retail level range from eliminating fixed rate tariffs as the default service for some or all customer groups to reinstituting utility-sponsored load management programs with market-based inducements to curtail. Alternative rate designs include time-of-use (TOU), day-ahead real-time pricing (RTP), critical peak pricing, and even pricing usage at real-time market balancing prices. Some Independent System Operators (ISOs) have implemented their own DR programs whereby load curtailment capabilities are treated as a system resource and are paid an equivalent value. The resulting load reductions from these tariffs and programs provide a variety of benefits, including limiting the ability of suppliers to increase spot and long-term market-clearing prices above competitive levels (Neenan et al., 2002; Boren stein, 2002; Ruff, 2002). Unfortunately, there is little information in the public domain to characterize and quantify how customers actually respond to these alternative dynamic pricing schemes. A few empirical studies of large customer RTP response have shown modest results for most customers, with a few very price-responsive customers providing most of the aggregate response (Herriges et al., 1993; Schwarz et al., 2002). However, these studies examined response to voluntary, two-part RTP programs implemented by utilities in states without retail competition.1 Furthermore, the researchers had limited information on customer characteristics so they were unable to identify the drivers to price response. In the absence of a compelling characterization of why customers join RTP programs and how they respond to prices, many initiatives to modernize retail electricity rates seem to be stymied.

Goldman, C.; Hopper, N.; Sezgen, O.; Moezzi, M.; Bharvirkar, R.; Neenan, B.; Boisvert, R.; Cappers, P.; Pratt, D.

2004-07-01T23:59:59.000Z

318

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

E-Print Network (OSTI)

35 Panel B: Hourly real-time prices Mean change std. dev.of the e?ciency gains of real-time price variation could beof the customers pay real-time prices, i.e. , retail prices

Holland, Stephen P.; MANSUR, ERIN T

2005-01-01T23:59:59.000Z

319

Empirical Analysis of the Spot Market Implications of Price-Responsive Demand  

E-Print Network (OSTI)

used to adjust the real-time price perceived by end-useare exposed to real-time electricity prices, they can adjustof real-time pricing (RTP) on the equilibrium spot price and

Siddiqui, Afzal S.; Bartholomew, Emily S.; Marnay, Chris

2008-01-01T23:59:59.000Z

320

Empirical analysis of the spot market implications of price-elastic demand  

E-Print Network (OSTI)

used to adjust the real-time price perceived by end-useare exposed to real-time electricity prices, then they canof real-time pricing on the equilibrium spot price and

Siddiqui, Afzal S.; Bartholomew, Emily S.; Marnay, Chris

2004-01-01T23:59:59.000Z

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.


321

The Natural Number of Forward Markets for Electricity  

E-Print Network (OSTI)

imbalance energy market, the observed prices in this spotprices,” Journal of Futures Markets, 22: 95-122. Energyprices from the CAISO’s real-time imbalance energy (spot) market,

Suenaga, Hiroaki; Williams, Jeffrey

2005-01-01T23:59:59.000Z

322

Estimating the Customer-Level Demand for Electricity Under Real-Time Market Prices  

E-Print Network (OSTI)

This paper presents estimates of the customer-level demand for electricity by industrial and commercial customers purchasing electricity according to the half-hourly energy prices from the England and Wales (E&W) electricity market. These customers also face the possibility of a demand charge on its electricity consumption during the three half-hour periods that are coincident with E&W system peaks. Although energy charges are largely known by 4 PM the day prior to consumption, a fraction of the energy charge and the identity of the half-hour periods when demand charges occur are only known with certainty ex post of consumption. Four years of data from a Regional Electricity Company (REC) in the United Kingdom is used to quantify the half-hourly customer-level demands under this real-time pricing program. The econometric model developed and estimated here quantifies the extent of intertemporal substitution in electricity consumption across pricing periods within the day due to changes ...

Robert H. Patrick; Frank A. Wolak

1997-01-01T23:59:59.000Z

323

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

324

The importance of vehicle costs, fuel prices, and fuel efficiency to HEV market success.  

DOE Green Energy (OSTI)

Toyota's introduction of a hybrid electric vehicle (HEV) named ''Prius'' in Japan and Honda's proposed introduction of an HEV in the United States have generated considerable interest in the long-term viability of such fuel-efficient vehicles. A performance and cost projection model developed entirely at Argonne National Laboratory (ANL) is used here to estimate costs. ANL staff developed fuel economy estimates by extending conventional vehicle (CV) modeling done primarily under the National Cooperative Highway Research Program. Together, these estimates are employed to analyze dollar costs vs. benefits of two of many possible HEV technologies. We project incremental costs and fuel savings for a Prius-type low-performance hybrid (14.3 seconds zero to 60 mph acceleration, 260 time) and a higher-performance ''mild'' hybrid vehicle, or MHV (11 seconds 260 time). Each HEV is compared to a U.S. Toyota Corolla with automatic transmission (11 seconds 260 time). The base incremental retail price range, projected a decade hence, is $3,200-$3,750, before considering battery replacement cost. Historical data are analyzed to evaluate the effect of fuel price on consumer preferences for vehicle fuel economy, performance, and size. The relationship between fuel price, the level of change in fuel price, and consumer attitude toward higher fuel efficiency is also evaluated. A recent survey on the value of higher fuel efficiency is presented and U.S. commercial viability of the hybrids is evaluated using discount rates of 2090 and 870. Our analysis, with our current HEV cost estimates and current fuel savings estimates, implies that the U.S. market for such HEVS would be quite limited.

Santini, D. J.; Patterson, P. D.; Vyas, A. D.

1999-12-08T23:59:59.000Z

325

Managing electricity reliability risk through the futures markets  

E-Print Network (OSTI)

negatively with the electricity spot price. Consequently,is incurred only for actual electricity generation, i.e. ,to produce electricity sold as energy, and to operate any AS

Siddiqui, Afzal S.

2000-01-01T23:59:59.000Z

326

Electricity Price Formation -- Lessons from the Western U.S.: Report Series on Fuel and Power Market Integration  

Science Conference Proceedings (OSTI)

The Western United States is a laboratory for observing the operation of competitive wholesale power markets. Combining a review of the fuel and power infrastructure with observations on market behavior and contractual practices, this report provides evidence of growing interdependence of fuel and power prices. This relationship is expected to strengthen and become more volatile as the fuel and power industries move toward ever higher levels of capacity utilization.

1997-08-19T23:59:59.000Z

327

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

328

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

E-Print Network (OSTI)

Agency. IEA, 2009, Energy prices and taxes, Working paper,to high and volatile energy prices. Most economists wouldIndeed, if and when U.S. energy prices do rise, the economic

Jaffee, Dwight; Stanton, Richard; Wallace, Nancy

2012-01-01T23:59:59.000Z

329

On the stability of wholesale electricity markets under real-time pricing  

E-Print Network (OSTI)

The paper proposes a mathematical model for the dynamic evolution of supply, demand, and clearing prices under a class of real-time pricing mechanisms characterized by passing on the real-time wholesale prices to the end ...

Roozbehani, Mardavij

330

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

E-Print Network (OSTI)

Response to Electricity Real-Time Prices: Short Run and LongResponse to Electricity Real-Time Prices: Short Run and LongResponse to Real Time Electricity Prices, Unpublished

2005-01-01T23:59:59.000Z

331

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

E-Print Network (OSTI)

and compute the near natural gas price as the Henry Hubin the level of Henry Hub natural gas prices do not have aexpectations that natural gas prices are expected to rise

Jaffee, Dwight; Stanton, Richard; Wallace, Nancy

2012-01-01T23:59:59.000Z

332

Asymmetric Price Adjustment and Consumer Search: An Examination of the Retail Gasoline Market  

E-Print Network (OSTI)

theory, I use a panel of gas station prices to estimate thetheory, I use a panel of gas station prices to estimate thecost. Using a panel of gas station prices, I estimate an

Lewis, Matt

2004-01-01T23:59:59.000Z

333

Strictly Speaking, the Law of One Price Works in Commodity Markets  

E-Print Network (OSTI)

teststo rejectthe law of one price when in fact it holds.G l . Keywords: law of one price, exchange rates,half livesequation 4 with wheat prices between the U.S. and Japan. All

Pippenger, John

2007-01-01T23:59:59.000Z

334

Some Pitfalls in Testing the Law of One Price in Commodity Markets  

E-Print Network (OSTI)

2000, Should the Law of One Price be Pushed Away? EvidenceJanet, 1994, The Law of One Price Revisited: New Evidence onBehavior of International Prices, Economic Inquiry, Vol. 32,

Phillips, Llad; Pippenger, John

2005-01-01T23:59:59.000Z

335

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

E-Print Network (OSTI)

of-Use Prices and Electricity Demand: Allowing for Selectionthe theory of customer electricity demand and the specificfor in evaluating electricity demand and price response. Hot

2005-01-01T23:59:59.000Z

336

Stock market volatility and price discovery : three essays on the effect of macroeconomic information  

E-Print Network (OSTI)

of Macro Announcements: Real Time Price Discovery in Foreign93, 38–62. (2005): “Real Time Price Discovery in Stock, Bond

Rangel, Jose Gonzalo

2006-01-01T23:59:59.000Z

337

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

338

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

E-Print Network (OSTI)

Run E?ects of Real-Time Electricity Pricing,” CSEM WP-133 (Severin. “Time-Varying Retail Electricity Prices: Theoryand Practice,” Electricity Restructuring: Choices and

Holland, Stephen P.; MANSUR, ERIN T

2005-01-01T23:59:59.000Z

339

Dynamic filter weights neural network model integrated with differential evolution for day-ahead price forecasting in energy market  

Science Conference Proceedings (OSTI)

In this paper a new dynamic model for forecasting electricity prices from 1 to 24h in advance is proposed. The model is a dynamic filter weight Adaline using a sliding mode weight adaptation technique. The filter weights for this neuron constitute of ... Keywords: Differential evolution, Dynamic filter weights neuron, Energy market, Local linear wavelet neural network, Sliding mode control

S. Chakravarty; P. K. Dash

2011-09-01T23:59:59.000Z

340

Black Gold & Fool’s Gold: Speculation in the Oil Futures Market  

E-Print Network (OSTI)

This paper addresses the question of whether the oil price spike of 2003-2008 was a bubble. We document and discuss what is known about the level of speculation in the paper oil market. We then analyze the dynamics of the ...

Parsons, John E.

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

Why we need to stick with uniform-price auctions in electricity markets  

Science Conference Proceedings (OSTI)

Arguments that the uniform-price auction yields electricity prices that are systematically too high are incorrect. Tampering with the spot price would cause inefficiency and raise long-term costs. The proper way to dampen the impact of spot price fluctuations is with long-term hedging. (author)

Cramton, Peter; Stoft, Steven

2007-01-15T23:59:59.000Z

342

U.S. Distillate Market  

Gasoline and Diesel Fuel Update (EIA)

Market Regional Residential Heating Oil Prices Retail Diesel Fuel Oil Prices Crude Oil Price Cycles Spot Distillate & Crude Oil Prices.(Prices through March 3, 2000) Low...

343

Abstract--In this paper we first give a presentation of the history and organisation of the electricity market in  

E-Print Network (OSTI)

of the electricity market in Scandinavia, which has been gradually restructured over the last decade. A futures market has been in operation there since September 1995. We analyse the historical prices in the spot and futures markets, using general theory for pricing of commodities futures contracts. We find

Ilic, Marija D.

344

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

E-Print Network (OSTI)

New Jersey and Maryland (PJM) electricity market. Consistentelectricity market known as PJM by constructing a simulationWe apply the model to the PJM electricity market, which

Holland, Stephen P.; MANSUR, ERIN T

2005-01-01T23:59:59.000Z

345

Using artificial neural networks to forecast the futures prices of crude oil  

Science Conference Proceedings (OSTI)

Crude oil is the commodity de jour and its pricing is of paramount importance to the layperson as well as to any responsible government. However, one of the main challenges facing econometric pricing models is the forecasting accuracy. ...

Hassan A. Khazem / A. K. Mazouz

2008-01-01T23:59:59.000Z

346

Mathematical and computer modelling reports: Modeling and forecasting energy markets with the intermediate future forecasting system  

Science Conference Proceedings (OSTI)

This paper describes the Intermediate Future Forecasting System (IFFS), which is the model used to forecast integrated energy markets by the U.S. Energy Information Administration. The model contains representations of supply and demand for all of the ...

Frederic H. Murphy; John J. Conti; Susan H. Shaw; Reginald Sanders

1989-09-01T23:59:59.000Z

347

Review of the Structure of Bulk Power Markets Grid of the Future White Paper  

Science Conference Proceedings (OSTI)

This paper is intended to provide an understanding of the needs of a restructured electricity market and some of the market methods and systems that have developed to address those needs. Chapter 2 discusses the historic market framework of vertically integrated utilities. Chapter 3 introduces the changes to the vertically integrated utility brought about by restructuring. It discusses generation and transmission planning, control and the regulatory process. It also summarizes reliability, security and adequacy. Chapter 4 discusses the basic structures of generation and transmission markets along with transmission-congestion contracts (TCCs) and transmission pricing principles. A discussion is given of the 12 ancillary services needed to reliably operate the power system. Chapter 4 also deals with the role of transmission in opening up markets to competition. In California increments (incs) and decrements (decs) are bid to overcome price differences in different zones caused by congestion. In PJM, any member can purchase Fixed Transmission Rights (FTRs) which allows the member to ''collect rent'' on congested lines and essentially obtain a hedge against congestion. There has been a worrisome slowdown in the growth of the transmission system in the United States since about the mid 70's. However, there are methods for providing incentives for construction of new transmission using tariffs. The California and PJM transmission planning processes are outlined. The Federal Energy Regulatory Commission (FERC) has recently issued a proposed rulemaking on Regional Transmission Organizations (RTOs) which stated that the traditional methods of grid management are showing signs of strain and may be inadequate to support efficient and reliable transmission operations. Chapter 5 provides examples of market implementations and a discussion of the price spikes seen in the Midwest in the summers of 1998 and 1999. An examination of six restructured market systems is performed in some detail. The systems are California, PJM (Pennsylvania, New Jersey, Maryland), New England, United Kingdom (UK), Alberta, and Australia. Finally, there is a discussion of the price spikes that occurred in the Midwest this summer from the viewpoint of market performance. Chapter 6 deals with the concept of load as a resource. This is a novel idea that holds tremendous promise as technological advances permit real time control of loads based on the user's economic criteria. The user may be willing to curtail operations for some period of time when the spot price reaches a certain level, or the user may be willing to sell ancillary services to the system. Chapter 7 outlines the research needs presented by a restructured industry and the vital federal role in meeting these needs. Without federal participation, research to advance the public good will not be performed by an industry now focused on profit. Chapter 8 provides a summary and concluding remarks.

Kirby, B.J.

2000-05-02T23:59:59.000Z

348

A Distinctive Energy Policy for Scotland? The Impact of Low Carbon Generation on the Future Price of  

E-Print Network (OSTI)

A Distinctive Energy Policy for Scotland? The Impact of Low Carbon Generation on the Future Price Distinctive Energy Policy for Scotland?' explores the emergence of a distinctive energy policy for Scotland and raises the issue of the desirability of any differentiation from UK energy policy. Although

Mottram, Nigel

349

Spot Distillate & Crude Oil Prices  

U.S. Energy Information Administration (EIA)

Retail distillate prices follow the spot distillate markets, and crude oil prices have been the main driver behind distillate spot price increases until recently.

350

Natural Gas Prices Forecast Comparison--AEO vs. Natural Gas Markets  

E-Print Network (OSTI)

the accuracy of two methods to forecast natural gas prices:forecasting models along with the AEO forecast. Appendix ATable 1. Forecast Year AEO Predicted Price from 1996-2003

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

2005-01-01T23:59:59.000Z

351

Price Responsive Demand in New York Wholesale Electricity Market using OpenADR  

E-Print Network (OSTI)

Dynamic Pricing and Smart Grid. Lawrence Berkeley Nationaland Technology's (NIST) Smart Grid Standards developmentcertification program. The Smart Grid Architectural Council

Kim, Joyce Jihyun

2013-01-01T23:59:59.000Z

352

Developing biotechnology company's future positioning strategy in prefilled syringe market  

E-Print Network (OSTI)

The primary goal for the thesis is to develop a recommendation for Amgen's future prefilled syringe strategy related to its drug process development, supplier relationship management plan, supply and sourcing, and procurement. ...

Lee, Joonhaeng, S.M. Massachusetts Institute of Technology

2010-01-01T23:59:59.000Z

353

Auction Basics for Wholesale Power Markets:Auction Basics for Wholesale Power Markets: Objectives and Pricing RulesObjectives and Pricing Rules  

E-Print Network (OSTI)

" "maximum willingness to pay" is also called a "(buyer) reservation value." #12;8 Buyer 2 Demand Bid: P (Inverse) Demand Function:Total System (Inverse) Demand Function: P=D(Q)P=D(Q) P 0 90 10 30 50 70 Maximum OutlinePresentation Outline Introduction Double auction basics for power markets Supply, demand, & market

Tesfatsion, Leigh

354

HOUSES!an independent view of the property market Prices Affordability Lending Activity Supply The Economy  

E-Print Network (OSTI)

recent European house price trends: An absence of continental drift? School of Architecture, Design and the Built Environment #12;Contents 03 Editorial ­ Dean Garratt Comparing recent European house price trends and editorial focus is: ·European House Price Trends ·Economic Growth We'll also cover national

Evans, Paul

355

Power Delivery System and Electricity Markets for the Future  

Science Conference Proceedings (OSTI)

This report is in draft form pending approval by EPRI Power Delivery & Markets Group Council. Upon approval, the report will be reformatted and issued as a final report by October 31, 2003. The Electricity Roadmap Initiative is an ongoing collaborative exploration of the opportunities for electricity-based innovation over the next 20 years and beyond. Thus far, over 150 organizations have participated with EPRI and its members in shaping a comprehensive vision of how to further increase electricity's val...

2003-08-27T23:59:59.000Z

356

Limiting currency volatility to stimulate goods market integration: a price based approach. NBER Working Paper No. 8468  

E-Print Network (OSTI)

This paper studies the effect of instrumental and institutional stabilization of exchange rate volatility on the integration of goods markets. Rather than using data on volume of trade, this paper employs a 3-dimensional panel of prices of 95 very disaggregated goods (e.g., light bulbs) in 83 cities around the world during 1990-2000. We find that the impact of an institutional stabilization – currency board or dollarization – promotes market integration far beyond an instrumental stabilization. Among them, long-term currency unions are more effective than more recent currency boards. All have room to improve relative to a U.S. benchmark.

David C. Parsley; Shang-jin Wei

2001-01-01T23:59:59.000Z

357

www.analysisgroup.com Uniform-Pricing versus Pay-as-Bid in Wholesale Electricity Markets: Does it Make a Difference? 1  

E-Print Network (OSTI)

Electricity prices have been rising. Over the last decade, average electricity prices in the U.S. have increased by one-third. 2 These price increases coincide with policy changes in many parts of the country that introduced greater reliance on market forces into the electric industry. Although today’s electricity prices are still relatively low in historical terms (about two-thirds of their 1980s levels when adjusted for inflation 3) and rising electricity prices have been largely the result of movements in global markets for fossil fuels, these price increases have nonetheless placed pressure on policy makers in a number of recently restructured electricity markets to question whether power prices have increased due to the design of competitive markets. Some observers have begun to push for redesign of market rules or even a return to elements of traditional cost-of-service regulation in the electric industry. 4 Among the proposed reforms are changes to the design of auction processes used in various wholesale electricity markets. These auctions involve offers to supply power, and, potentially, bids to buy power. The auction determines the identity of the “winners”

Susan F. Tierney, Ph.D.; Todd Schatzki Ph. D; Rana Mukerji; Susan Tierney, Ph.D.; Todd Schatzki, Ph.D.; Rana Mukerji

2008-01-01T23:59:59.000Z

358

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

359

Recently, S&P 500 Index and WTI crude oil futures price movements ...  

U.S. Energy Information Administration (EIA)

Greenhouse gas data, voluntary report- ing, electric power plant emissions. ... One notable exception to this recent price correlation came on August 9.

360

2010 Fuel Cell Technologies Market Report, June 2011  

DOE Green Energy (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

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

The Effect of Price Information in e-Market on Consumers¡¦ Intentions to Join Group Buying.  

E-Print Network (OSTI)

??Usually, consumers will collect market information about the product before they decide to buy it or not. In other words, the market information is a… (more)

Yang, Chen-Yuan

2005-01-01T23:59:59.000Z

362

Dynamic Pricing in the Presence of Inventory Considerations: Research Overview, Current Practices, and Future Directions  

Science Conference Proceedings (OSTI)

The benefits of dynamic pricing methods have long been known in industries, such as airlines, hotels, and electric utilities, where the capacity is fixed in the short-term and perishable. In recent years, there has been an increasing adoption of dynamic ... Keywords: Dynamic pricing; e-commerce; revenue management; inventory

Wedad Elmaghraby; Pinar Keskinocak

2003-10-01T23:59:59.000Z

363

Beyond the Hype of Frictionless Markets: Evidence of Heterogeneity in Price Rigidity on the Internet  

Science Conference Proceedings (OSTI)

We explore daily patterns of Internet pricing for the two major retailers, Amazon.com and Barnes and Noble (BN), using data on 377 books collected over a 449-day period in 2003-4. We frame this investigation in terms of a key question: How rigid are ... Keywords: Bookselling, E-Commerce, Economic Analysis, Empirical Regularities, Empirical Research, Internet Retailing, Price Rigidity, Strategic Pricing

Mark E. Bergen; Robert J. Kauffman; Dongwon Lee

2005-11-01T23:59:59.000Z

364

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

E-Print Network (OSTI)

York (several hubs), Ontario, PJM, MISO, ERCOT South, Intocontract delivering into the PJM Western hub. Assuming thatpeak real-time prices posted by PJM Interconnection, LLC, on

Jaffee, Dwight; Stanton, Richard; Wallace, Nancy

2012-01-01T23:59:59.000Z

365

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

E-Print Network (OSTI)

York (several hubs), Ontario, PJM, MISO, ERCOT South, Intocontract delivering into the PJM Western hub. Assuming thatpeak real-time prices posted by PJM Interconnection, LLC, on

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

2010-01-01T23:59:59.000Z

366

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

E-Print Network (OSTI)

facilities that receive electricity service from Niagaraperiods is your facility’s electricity use highest? ( CHECKthe next day’s hourly electricity prices? ( CHECK ONLY ONE )

2005-01-01T23:59:59.000Z

367

Price discovery and information linkages in the emission allowance and energy markets .  

E-Print Network (OSTI)

??We provide the first evidence on the catalysts for price discovery in the European Union Emissions Trading System. Short-run return dynamics are analysed using a… (more)

Swieringa, John Edward

2013-01-01T23:59:59.000Z

368

Optimal Spot Market Inventory Strategies in the Presence of Cost and Price Risk  

E-Print Network (OSTI)

1966. A Continous Time Inventory Model. Jounal of Applied4] Berling, P. Holding Inventory with Stochastically Mean-6] Chaouc, B . 2006. Inventory Control and Periodic Price

Guo, Xin; Kaminsky, Philip; Tomecek, Pascal; Yuen, M.

2007-01-01T23:59:59.000Z

369

Cournot Equilibrium in Price-capped Two-Settlement Electricity Markets  

E-Print Network (OSTI)

-term Contracts and Imperfectly Competitive Spot Markets: A Study of UK Eletricity Industry, Memorandum no. 14

Oren, Shmuel S.

370

Cournot Equilibrium in Price-capped Two-Settlement Electricity Markets  

E-Print Network (OSTI)

Competitive Spot Markets: A Study of UK Eletricity Industry, Memorandum no. 14, Department of Economics

371

Impact of market structure and political instability on the official price of OPEC crude (1972-83)  

SciTech Connect

Within the empirical literature, political instability was either completely ignored or the assumption was made that its impact was significant. One of the major objectives of this study is to determine whether political instability had a significant impact on the oil market during the 1972-83 period. Secondly, there were very important changes that took place within the market - considerable reduction in the non-communist world's oil consumption, increase in production outside OPEC, reduced OPEC market share and capacity use, increased sale of oil directly by OPEC rather than through the oil multinationals, and nationalization of the asset of the latter within OPEC. Within the empirical literature some attention has been paid to the first four changes. The last two changes, however, have generally been assumed to be insignificant. Consequently, the second objective is to determine whether the change of the distribution of ownership within and direct marketing by OPEC itself have had a significant impact on the official price of OPEC crude. The third objective is improved specification of past models of the world oil market through consideration of the influences mentioned above. Results of the study show that political instability, contrary to popular opinion, did not have a significant impact on the market during the 1972-83 period.

Kendall, P.

1987-01-01T23:59:59.000Z

372

A SURVEY OF COMMODITY MARKETS AND STRUCTURAL MODELS FOR ELECTRICITY PRICES  

E-Print Network (OSTI)

and the methods which have been proposed to handle them in spot and forward price models. We devote special sources, the main production process remains the conversion of fossil fuels like coal, gas and oil. Since and nuclear production as these plants are hardly ever setting the price. In other words, since electricity

Carmona, Rene

373

Deregulating Residential Electricity Markets: What's on Offer? Catherine Waddams Price1  

E-Print Network (OSTI)

incentives such as time-varying electricity tariff (e.g. spot pricing [1]), or CO2 footprint. Electricity tariff (spot price) for New York City on February 15th, 2011. Data taken from NYISO. The web-varying electricity tariff in the management of the power grid, especially in the reduction of peak power con

Feigon, Brooke

374

Another Bull Market Consolidation or Have Oil Prices Headed South for the Winter?  

Reports and Publications (EIA)

This presentation was given at the New York Energy Forum on September 5, 2006. It explores the reasons behind rising oil prices over the last few years and discusses whether the drop in oil prices seen in late August and early September 2005 is the start of a long-running trend or is only a temporary decline.

Information Center

2006-09-12T23:59:59.000Z

375

3 MICROSIMULATING AUTOMOBILE MARKETS: 4 EVOLUTION OF VEHICLE HOLDINGS AND VEHICLE-PRICING DYNAMICS  

E-Print Network (OSTI)

. This work combines an auction-style 33 microsimulation of vehicle prices and random-utility vehicles and the infrastructure they use, directly and peripherally. To understand and anticipate 46 travel to vehicle aging. This paper60 makes explicit the role of user preferences in vehicle price fluctuations

Kockelman, Kara M.

376

Recently, S&P 500 Index and WTI crude oil futures price ...  

U.S. Energy Information Administration (EIA)

Over the past few weeks (July 1 through August 19), the movement of oil prices has closely mirrored that of the Standard and Poors (S&P) 500 Index.

377

Measuring oil-price shocks using market-based information’, Federal Reserve Bank of San Francisco Working Paper No  

E-Print Network (OSTI)

This paper takes on a narrative and quantitative approach to examine the dynamic effects of oil-price shocks to the U.S. economy. Based on market information collected from various oil-industry trade journals, we separate different kinds of oilprice shocks, and construct measures of exogenous oil shocks that are free of endogeneity and anticipatory problems. Estimation results indicate that oil shocks have had substantial and statistically significant impacts on the U.S. economy during the past two and a half decades. By contrast, traditional VAR identification strategies lead to a much weaker and insignificant real effect for the same period. Further investigation suggests that this discrepancy is possibly due to a lack of identification on the VAR approach, originating from mixing the exogenous oil-supply shocks with endogenous oil-price movements driven by changes in oil demand.

Tao Wu; Michele Cavallo

2006-01-01T23:59:59.000Z

378

The effect of falling market concentration on prices, generator behaviour and productive efficiency in the England and Wales electricity market  

E-Print Network (OSTI)

A universal prediction of the various oligopoly models used to predict and explain behaviour in the England and Wales (E&W) electricity wholesale market is that divestiture of plants by the two large incumbent generators ...

Sweeting, Andrew

2001-01-01T23:59:59.000Z

379

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

E-Print Network (OSTI)

Source: EPA’s CEMS. Electricity Load Distribution 2.0e-04 NoLoad Figure 2a: Electricity load distribution (in MWh) withreal-time pricing Electricity Load Distribution 2.0e-04 All

Holland, Stephen P.; MANSUR, ERIN T

2005-01-01T23:59:59.000Z

380

How many people actually see the price signal? Quantifying market failures in the end use of energy  

E-Print Network (OSTI)

investment, behaviour, energy price, consumers Abstract “suggest that raising energy prices—such as in the form ofconsumers actually “see” energy prices and are therefore

Meier, Alan; Eide, Anita

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.


381

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

382

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

383

Natural Gas Prices Forecast Comparison--AEO vs. Natural Gas Markets  

E-Print Network (OSTI)

coal supply. The natural gas supply covers six categories:renewables, oil supply, natural gas supply, natural gasnation-wide natural gas market, equalizing supply with

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

2005-01-01T23:59:59.000Z

384

Price Responsive Demand in New York Wholesale Electricity Market using OpenADR  

E-Print Network (OSTI)

Advanced Metering, and Demand Response in Electricity2006. Benefits of Demand Response in Electricity Markets and2010. Open Automated Demand Response Technologies for

Kim, Joyce Jihyun

2013-01-01T23:59:59.000Z

385

Determining the effects on residential electricity prices and carbon emissions of electricity market restructuring in Alberta.  

E-Print Network (OSTI)

??When electricity restructuring initiatives were introduced in Alberta, and finalized with the institution of retail electricity market competition in 2001, it was argued that the… (more)

Jahangir, Junaid Bin

2011-01-01T23:59:59.000Z

386

Entry into the Swedish Wholesale Electricity Market and the Electricity Price.  

E-Print Network (OSTI)

?? The aim of this paper is to analyze the strategic behavior of the leading firms on the Swedish wholesale electricity market. This thesis wishes… (more)

Bhatia, Martina

2010-01-01T23:59:59.000Z

387

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

388

Optimal spot market inventory strategies in the presence of cost and price risk  

E-Print Network (OSTI)

Optimal spot market inventory strategies in the presence ofeither increase or decrease inventory by buying or sellingof actively managing inventory during the period rather than

Guo, X.; Kaminsky, P.; Tomecek, P.; Yuen, M.

2011-01-01T23:59:59.000Z

389

On martingale measures and pricing for continuous bond-stock market with stochastic bond  

E-Print Network (OSTI)

This paper studies pricing of stock options for the case when the evolution of the risk-free assets or bond is stochastic. We show that, in the typical scenario, the martingale measure is not unique, that there are non-replicable claims, and that the martingale prices can vary significantly; for instance, for a European put option, any positive real number is a martingale price for some martingale measure. In addition, the second moment of the hedging error for a strategy calculated via a given martingale measure can take any arbitrary positive value under some equivalent measure. Some reasonable choices of martingale measures are suggested, including a measure that ensures local risk minimizing hedging strategy.

Dokuchaev, Nikolai

2011-01-01T23:59:59.000Z

390

Spoilt for Choice? The Costs and Benefits of Opening UK Residential Markets  

E-Print Network (OSTI)

Residential Energy Markets Catherine Waddams Price, CentreResidential Energy Markets Catherine Waddams Price * Centre

Waddams Price, Catherine

2004-01-01T23:59:59.000Z

391

Primer on electricity futures and other derivatives  

SciTech Connect

Increased competition in bulk power and retail electricity markets is likely to lower electricity prices, but will also result in greater price volatility as the industry moves away from administratively determined, cost-based rates and encourages market-driven prices. Price volatility introduces new risks for generators, consumers, and marketers. Electricity futures and other derivatives can help each of these market participants manage, or hedge, price risks in a competitive electricity market. Futures contracts are legally binding and negotiable contracts that call for the future delivery of a commodity. In most cases, physical delivery does not take place, and the futures contract is closed by buying or selling a futures contract on or near the delivery date. Other electric rate derivatives include options, price swaps, basis swaps, and forward contracts. This report is intended as a primer for public utility commissioners and their staff on futures and other financial instruments used to manage price risks. The report also explores some of the difficult choices facing regulators as they attempt to develop policies in this area.

Stoft, S.; Belden, T.; Goldman, C.; Pickle, S.

1998-01-01T23:59:59.000Z

392

Oil prices in a new light  

Science Conference Proceedings (OSTI)

For a clear picture of how oil prices develop, the author steps away from the price levels to which the world is accustomed, and evaluates scientifically. What makes prices jump from one notch to another The move results from a political or economic shock or the perception of a particular position by the futures market and the media. The shock could range from a war or an assassination to a promise of cooperation among OPEC members (when believed by the market) or to speculation about another failure at an OPEC meeting. In the oil market, only a couple of factual figures can provide a floor to the price of oil. The cost of production of oil in the Gulf is around $2 to $3/bbl, and the cost of production of oil (capital and operating costs) in key non-OPEC areas is well under $10/bbl. With some adjustments for transport and quality, a price range of $13/bbl to $16/bbl would correspond to a reasonable sustainable floor price. The reason for prices above the floor price has been a continuous fear of oil supply interruptions. That fear kept prices above the floor price for many years. The fear factor has now almost fully disappeared. The market has gone through the drama of the Iranian Revolution, the Iran-Iraq war, the tanker war, the invasion of Kuwait, and the expulsions of the Iraqis. And still the oil flowed -- all the time. It has become abundantly clear that fears above the oil market were unjustified. Everyone needs to export oil, and oil will flow under the worst circumstances. The demise of the fear factor means that oil prices tend toward the floor price for a prolonged period.

Fesharaki, F. (East-West Center, Honolulu, HI (United States))

1994-05-01T23:59:59.000Z

393

An overview of alternative fossil fuel price and carbon regulation scenarios  

E-Print Network (OSTI)

reaction of energy markets to higher fuel prices. Combinedreaction of energy markets to higher fuel prices. Other Highin spot market prices (note California Energy Commission.

Wiser, Ryan; Bolinger, Mark

2004-01-01T23:59:59.000Z

394

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

E-Print Network (OSTI)

Yes prices per square foot indicating that the cost effectper square foot and more variance in precipitation has a statistically significant positive effect on operating costsper square foot of office buildings that sold in arm-length-transactions between 2001 and 2010 on energy costs,

Jaffee, Dwight; Stanton, Richard; Wallace, Nancy

2012-01-01T23:59:59.000Z

395

CPI anticipates price benefits in an open electricity market - but utilities `will erect roadblocks`  

SciTech Connect

Chemical manufacturers and industrial gas firms welcome the coming deregulation of electricity because the change offers them competitive choice in power supplies. They anticipate price benefits like those that have flowed from natural gas deregulation, which feed from manufacturers to bypass local utilities and shop for their own fuel supplies.

Pospisil, R.

1994-11-23T23:59:59.000Z

396

Price, carbon and generation profiles: how partisan differences make the future of climate change uncertain  

Science Conference Proceedings (OSTI)

America is very much a divided nation when it comes to politics. That polarization is reflected in the environmental and energy realities currently at play in many states, creating a remarkable divide between more conservative Red States and more liberal Blue States when it comes to the amount of CO{sub 2} emitted into the atmosphere and the price of electricity. These differences pose an enormous obstacle in passing climate change legislation. (author)

Sautter, John A.; Sautter, Christopher A.

2010-03-15T23:59:59.000Z

397

A Survey of Utility Experience with Real Time Pricing  

E-Print Network (OSTI)

than the RTP energy price, volatile market prices provide noof the market price for financially firm energy (quoted aof energy that could be purchased at market prices that were

Barbose, Galen; Goldman, Charles; Neenan, Bernie

2004-01-01T23:59:59.000Z

398

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

399

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

400

Natural Gas Prices Forecast Comparison--AEO vs. Natural Gas Markets  

E-Print Network (OSTI)

2003). Balancing Natural Gas Policy - Fueling the Demands ofThis lead to the Natural Gas Policy Act (NGPA) in 1978 whichnatural gas markets, demand-side management programs, development of renewable sources, and environmental policies. ”

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

2005-01-01T23:59:59.000Z

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.


401

Natural Gas Prices Forecast Comparison--AEO vs. Natural Gas Markets  

E-Print Network (OSTI)

1 1.1 History of Natural Gaspdf/table13.pdf> History of Natural Gas Regulation TheUnderstanding the history of the natural gas market helps to

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

2005-01-01T23:59:59.000Z

402

Video market data for calves and yearlings confirms price discounts for Western cattle  

E-Print Network (OSTI)

RESEARCH Article t Video market data for calves andWe used 11 years of data from video auction sales across thesales information from video auctions because they operate

Blank, Steven; Forero, Larry C.; Nader, Glenn A.

2009-01-01T23:59:59.000Z

403

Price Responsive Demand in New York Wholesale Electricity Market using OpenADR  

E-Print Network (OSTI)

and Demand Response in Electricity Markets." University ofRates and Tariffs /Schedule for Electricity Service, P.S.C.no. 10- Electricity/Rules 24 (Riders)/Leaf No. 177-327."

Kim, Joyce Jihyun

2013-01-01T23:59:59.000Z

404

Natural Gas Prices Forecast Comparison--AEO vs. Natural Gas Markets  

E-Print Network (OSTI)

is on the rise, natural gas demand is expected to grow 2.4%has resulted in higher natural gas demand and volatility andelectricity and natural gas markets, demand-side management

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

2005-01-01T23:59:59.000Z

405

Price Determination of Electricity in a Competitive Environment: Reaching Profitable Electricity Customers with Market Power  

Science Conference Proceedings (OSTI)

This report studies and develops techniques for profitable generation company operation in the competitive /deregulated environment. Specifically it investigates how market power can be used to reach the high-profit segment of the customer-base. The first part of the report is primarily concerned with methods and theory. The competitive market framework assumed for this research is presented. The basic auctions used, and the optimization techniques used to implement them, are explained. Extensions to the...

2000-06-08T23:59:59.000Z

406

Comparing Price Forecast Accuracy of Natural Gas Models and Futures Markets  

E-Print Network (OSTI)

Policy Office Electricity Modeling System POEMS U.S. Department of Energy NANGAS/IPM NANGAS North American

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

2005-01-01T23:59:59.000Z

407

Multi-outcome and Multidimensional Market Scoring Rules (Manuscript)  

E-Print Network (OSTI)

agent can "move" the current price of a market towards their prediction. While this movement still conditions, always moves the price directly towards beliefs of the agents. We present a modified version information to forecast future events. For a heavily traded prediction market, such as whether Obama

Fortnow, Lance

408

Valuation Ratios and the Long-Run Stock Market Outlook: An Update  

E-Print Network (OSTI)

The use of price--earnings ratios and dividend-price ratios as forecasting variables for the stock market is examined using aggregate annual US data 1871 to 2000 and aggregate quarterly data for twelve countries since 1970. Various simple efficient-markets models of financial markets imply that these ratios should be useful in forecasting future dividend growth, future earnings growth, or future productivity growth. We conclude that, overall, the ratios do poorly in forecasting any of these.

John Campbell; John Y. Campbell; Robert Shiller; Robert J. Shiller

2001-01-01T23:59:59.000Z

409

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

DOE Green Energy (OSTI)

The viability of biomass as transportation fuel depends upon the allocation of limited resources for fuel, power, and products. By focusing on mature markets, this report identifies how biomass is projected to be most economically used in the long term and the implications for greenhouse gas (GHG) emissions and petroleum use. In order to better understand competition for biomass between these markets and the potential for biofuel as a market-scale alternative to petroleum-based fuels, this report presents results of a micro-economic analysis conducted using the Biomass Allocation and Supply Equilibrium (BASE) modeling tool. The findings indicate that biofuels can outcompete biopower for feedstocks in mature markets if research and development targets are met. The BASE tool was developed for this project to analyze the impact of multiple biomass demand areas on mature energy markets. The model includes domestic supply curves for lignocellulosic biomass resources, corn for ethanol and butanol production, soybeans for biodiesel, and algae for diesel. This is one of a series of reports produced as a result of the Transportation Energy Futures (TEF) project, a Department of Energy-sponsored multi-agency project initiated to pinpoint underexplored strategies for abating GHGs and reducing petroleum dependence related to transportation.

Ruth, M.; Mai, T.; Newes, E.; Aden, A.; Warner, E.; Uriarte, C.; Inman, D.; Simpkins, T.; Argo, A.

2013-03-01T23:59:59.000Z

410

The Role of Demand Response in Default Service Pricing  

E-Print Network (OSTI)

day-ahead energy market, which publishes hourly prices by 4:energy market, to which customers can refer to estimate real time market prices.energy market provide customers with a more compelling incentive for price

Barbose, Galen; Goldman, Charles; Neenan, Bernie

2008-01-01T23:59:59.000Z

411

Transmission Price Risk Management  

Science Conference Proceedings (OSTI)

This report is concerned with the financial risks that arise from the uncertain price of transmission service in restructured or competitive electricity markets. These risks are most severe in markets with locational pricing (LMP), but they also exist in more traditionally organized electricity markets. This report has two main purposes. The first is to review the existing mathematical models of electricity price formation in spot and forward markets that may be helpful as the foundations for developing ...

2006-12-04T23:59:59.000Z

412

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

E-Print Network (OSTI)

Response to Electricity Real-Time Prices: Short Run and LongElectricity Usage to Real Time Prices A-31 v List ofwere linked to real-time prices, most customers indicated

2004-01-01T23:59:59.000Z

413

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

E-Print Network (OSTI)

of the monthly electricity bill), (3) the pricing methodof the monthly SC-3A electricity bill (@ X%) Hedge PricePrice @ Cost (as % of electricity bill) Covered Hours: Hedge

2004-01-01T23:59:59.000Z

414

Changes in energy markets reduce regional effects of energy price movements  

Science Conference Proceedings (OSTI)

Changes in energy prices are having more equal effects on the residents of different regions than previously as consumption patterns adjust to natural gas deregulation and higher energy costs. Regions with a higher proportion of energy use, such as New England, have dropped their per capita consumption rates and have changed their mix of fuels. The extent of fuel switching becomes more apparent if electricity consumption is apportioned to the fuel used to generate power. Comparisons between the New England, East North Central, and West North Central regions show a decline in oil consumption for each and an increase in electricity use. 2 figures.

Schmidt, R.H.; Dunstan, R.H.

1985-04-01T23:59:59.000Z

415

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

416

Light-Heavy Price Difference Varies  

U.S. Energy Information Administration (EIA)

Light-Heavy Price Difference Varies ; Function of Crude Market Factors ; Function of Conversion Capacity ; Function of Product Market Factors

417

Gasoline Prices  

NLE Websites -- All DOE Office Websites (Extended Search)

Gasoline Prices Gasoline Price Data Sign showing gasoline prices Local Prices: Find the cheapest gasoline prices in your area. State & Metro Area Prices: Average prices from AAA's...

418

Use of Incremental Pricing in Coal Supply and Transportation Agreements to Achieve Power Sales: Report Series of Fuel and Power Market Integration  

Science Conference Proceedings (OSTI)

Increased power market competition is transforming into increased fuel supply competition. This report examines the role that "incremental pricing" for coal supply and transportation services plays in permitting power generators to achieve greater power sales. Surprisingly, the outlook for using such mechanisms for this purpose is more restricted than one might expect.

1997-11-26T23:59:59.000Z

419

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

420

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

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

Diagnosing Unilateral Market Power in Electricity Reserves Market  

E-Print Network (OSTI)

Sep Figure 6: Energy market clearing prices CALPX $/MW $/MWbelow or above the price of the energy market that they mayreal-time energy) markets were subject to a price cap of $

Knittel, Christopher R; Metaxoglou, Konstantinos

2008-01-01T23:59:59.000Z

422

Reliability and Competitive Electricity Markets  

E-Print Network (OSTI)

as energy is dispatched only when the market price exceedsof energy sold in the wholesale spot market: • The price-energy dispatched through the market and a second higher price

Joskow, Paul; Tirole, Jean

2004-01-01T23:59:59.000Z

423

Using EPECs to model bilevel games in restructured electricity markets with locational prices  

E-Print Network (OSTI)

different generation costs. This is a weakening of a more typical assumption that generation costs are symmetric, e.g. Green and Newbery (1992), Klemperer and Meyer (1989). Here some generators may be out of the market, unlike Proposition 5. Using symmetric... formulation. Applying PATH to the CP formulation of an EPEC is suggested by the success that some stan- dard NLP methods have had in solving MPECs written as NLPs (like (12)). The sequential quadratic programming method has proven to be especially effective...

Hu, Xinmin; Ralph, Daniel

2006-03-14T23:59:59.000Z

424

Information-Based Asset Pricing  

E-Print Network (OSTI)

A new framework for asset price dynamics is introduced in which the concept of noisy information about future cash flows is used to derive the price processes. In this framework an asset is defined by its cash-flow structure. Each cash flow is modelled by a random variable that can be expressed as a function of a collection of independent random variables called market factors. With each such "X-factor" we associate a market information process, the values of which are accessible to market agents. Each information process is a sum of two terms; one contains true information about the value of the market factor; the other represents "noise". The noise term is modelled by an independent Brownian bridge. The market filtration is assumed to be that generated by the aggregate of the independent information processes. The price of an asset is given by the expectation of the discounted cash flows in the risk-neutral measure, conditional on the information provided by the market filtration. When the cash flows are th...

Brody, Dorje C; Macrina, Andrea

2007-01-01T23:59:59.000Z

425

How many people actually see the price signal? Quantifying market failures in the end use of energy  

E-Print Network (OSTI)

1991) The Issue of Domestic Energy Market Failure. Canberra,information in energy service markets – leading to problemsis a goal of many market-oriented energy policies. However,

Meier, Alan; Eide, Anita

2007-01-01T23:59:59.000Z

426

Current and Future Costs for Parabolic Trough and Power Tower Systems in the US Market: Preprint  

DOE Green Energy (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, C.; Mehos, M.; Ho, C. K.; Kolb, G. J.

2010-10-01T23:59:59.000Z

427

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

SciTech Connect

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

428

Transportation Market Distortions  

E-Print Network (OSTI)

Transport Prices and Markets, Victoria Transport PolicySurvey: Survey Suggests Market-Based Vision of Smart Growth,G. 1996. Roads in a Market Economy, Avebury (Aldershot).

Litman, Todd

2006-01-01T23:59:59.000Z

429

Market Structure and Competition: A Cross-Market Analysis of U.S. Electricity Deregulation  

E-Print Network (OSTI)

energy into the restructured markets behave as price takersEnergy Clearing Price (ECP) for the New England market priceISO at below market prices. nuclear energy sources. Unlike

Bushnell, James; Mansur, Erin T.; Saravia, Celeste

2004-01-01T23:59:59.000Z

430

2010 Wind Technologies Market Report  

E-Print Network (OSTI)

natural gas prices), reversed this long-term trend in 2009gas market. 2010 Wind Technologies Market Report 4. Price, Cost, and Performance Trends

Wiser, Ryan

2012-01-01T23:59:59.000Z

431

Crude Oil Prices  

Annual Energy Outlook 2012 (EIA)

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

432

Crude Oil Prices  

Annual Energy Outlook 2012 (EIA)

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

433

Crude Oil Prices  

Annual Energy Outlook 2012 (EIA)

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

434

Crude Oil Prices  

Gasoline and Diesel Fuel Update (EIA)

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

435

Natural Gas Wellhead Price  

Annual Energy Outlook 2012 (EIA)

Wellhead Price Marketed Production Period: Monthly Annual Download Series History Download Series History Definitions, Sources & Notes Definitions, Sources & Notes Show Data By:...

436

Real-time pricing -- supplanted by Price-risk derivatives?  

Science Conference Proceedings (OSTI)

Future trends in pricing options for wholesale electrical generation are discussed. Specifically, the effect of price derivatives on electricity consumption are examined. Economic analyses are presented for customer demand in real-time pricing scenarios with and without a price derivative hedge. It is determined that consumption will be curtailed even when price caps have been purchased. Consumption behavior is also analyzed to determine the effect of different price caps; regardless of price, consumption is curtailed in response to price.

O`Sheasy, M.

1997-03-01T23:59:59.000Z

437

Warm weather, low natural gas prices hold down wholesale power ...  

U.S. Energy Information Administration (EIA)

Energy Information Administration ... Northeastern and Midwestern wholesale power prices typically are linked closely to ... raising the spot market prices for ...

438

Open Automated Demand Response Dynamic Pricing Technologies and Demonstration  

E-Print Network (OSTI)

charges. • Wholesale energy market prices are volatile, andCAISO’s Wholesale Energy Market Prices PG&E’s PDP RetailWe used the CAISO wholesale energy market prices for the RTP

Ghatikar, Girish

2010-01-01T23:59:59.000Z

439

Summary Short?Term Energy Outlook Supplement: Energy Price Volatility and Forecast Uncertainty 1  

E-Print Network (OSTI)

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 energyrelated 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 marketclearing 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 trade. The Energy Information Administration’s (EIA) monthly Short-Term Energy Outlook (STEO) publishes “base case ” projections for a variety of energy prices that go out 12 to 24 months (every January the STEO forecast is extended through December of the following year). EIA has recognized that all price forecasts are highly uncertain and has described the uncertainty by identifying the market factors that may significantly move prices away from their expected paths, such as economic growth, Organization of Petroleum Exporting Countries (OPEC) behavior, geo-political events, and hurricanes.

unknown authors

2009-01-01T23:59:59.000Z

440

Prices & Trends  

Energy.gov (U.S. Department of Energy (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.


441

Real Time Pricing as a Default or Optional Service for C&I Customers: A Comparative Analysis of Eight Case Studies  

E-Print Network (OSTI)

the spot market price of energy in a competitive wholesalethrough” the spot market price of energy for all of theadditional energy at the spot market price. Another example

Barbose, Galen; Goldman, Charles; Bharvirkar, Ranjit; Hopper, Nicole; Ting, Michael; Neenan, Bernie

2005-01-01T23:59:59.000Z

442

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

E-Print Network (OSTI)

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

Arcones, Miguel A.

443

Price controls and international petroleum product prices  

SciTech Connect

The effects of Federal refined-product price controls upon the price of motor gasoline in the United States through 1977 are examined. A comparison of domestic and foreign gasoline prices is made, based on the prices of products actually moving in international trade. There is also an effort to ascribe US/foreign market price differentials to identifiable cost factors. Primary emphasis is on price comparisons at the wholesale level, although some retail comparisons are presented. The study also examines the extent to which product price controls are binding, and attempts to estimate what the price of motor gasoline would have been in the absence of controls. The time period under consideration is from 1969 through 1977, with primary focus on price relationships in 1970-1971 (just before US controls) and 1976-1977. The foreign-domestic comparisons are made with respect to four major US cities, namely, Boston, New York, New Orleans, and Los Angeles. 20 figures, 14 tables.

Deacon, R.T.; Mead, W.J.; Agarwal, V.B.

1980-02-01T23:59:59.000Z

444

Alaska railroad's future freight market. Volume III. Final report 1 Jul 74-30 Apr 76  

SciTech Connect

The study forecasts the freight market of the Alaska Railroad (ARR) due to natural resource development and pipeline construction in Alaska. This has been done through: (a) evaluation of those resources with commercial development potential which could generate rail service demand; and (b) development and analysis of petroleum development schedules and pipeline construction scenarios. Detailed price and market analysis of Alaskan coal and copper resources were performed. Forecasts of ARR traffic were based upon econometric relationships between the Alaskan economy and petroleum royalties and construction expenditures. Volume three provides a detailed review of ARR's recent freight market, pipeline construction scenarios and other activities which could significantly affect the ARR, and provides forecasts of the Alaska Railroad's freight traffic through 1990.

Hillegas, B.D.; Pernela, L.M.; Lewis, D.C.

1976-06-01T23:59:59.000Z

445

Import policy effects on the optimal oil price  

Science Conference Proceedings (OSTI)

A steady increase in oil imports leaves oil importing countries increasingly vulnerable tofuture oil price shocks. Using a variation of the U.S. EIA`s oil market simulation model, equilibria displaying multiple price shocks is derived endogenously as a result of optimizing behavior on the part of OPEC. Here we investigate the effects that an oil import tariff and a petroleum stock release policy may have on an OPEC optimal price path. It is shown that while both policies can reduce the magnitude of future price shocks neither may be politically or technically feasible. 21 refs., 7 figs., 6 tabs.

Suranovic, S.M. [George Washington Univ., Washington, DC (United States)

1994-12-31T23:59:59.000Z

446

Real Time Pricing and the Real Live Firm  

E-Print Network (OSTI)

ahead Wholesale Market Electricity Prices: Case Study of RTPfluctuations in electricity prices are based on theories ofto increases in electricity prices, as long as doing so

Moezzi, Mithra; Goldman, Charles; Sezgen, Osman; Bharvirkar, Ranjit; Hopper, Nicole

2004-01-01T23:59:59.000Z

447

Revisiting the Income Effect: Gasoline Prices and Grocery Purchases  

E-Print Network (OSTI)

Hurst, 2007b. “Lifecycle Prices and Production,” forthcomingA. Pakes, 1995. “Automobile Prices in Market Equilibrium,”on the Importance of Sticky Prices," Journal of Political

Gicheva, Dora; Hastings, Justine; Villas-Boas, Sofia B

2008-01-01T23:59:59.000Z

448

Credit derivatives : market dimensions, correlation with equity and implied option volatility, regression modeling and statistical price risk  

E-Print Network (OSTI)

This research thesis explores the market dimensions of credit derivatives including the prevalent product structures, leading participants, market applications and the issues confronting this relatively new product. We ...

Kureshy, Imran, A., 1965-

2004-01-01T23:59:59.000Z

449

Not All Large Customers are Made Alike: Disaggregating Response toDefault-Service Day-Ahead Market Pricing  

SciTech Connect

For decades, policymakers and program designers have gone onthe assumption that large customers, particularly industrial facilities,are the best candidates for realtime pricing (RTP). This assumption isbased partly on practical considerations (large customers can providepotentially large load reductions) but also on the premise thatbusinesses focused on production cost minimization are most likely toparticipate and respond to opportunities for bill savings. Yet fewstudies have examined the actual price response of large industrial andcommercial customers in a disaggregated fashion, nor have factors such asthe impacts of demand response (DR) enabling technologies, simultaneousemergency DR program participation and price response barriers been fullyelucidated. This second-phase case study of Niagara Mohawk PowerCorporation (NMPC)'s large customer RTP tariff addresses theseinformation needs. The results demonstrate the extreme diversity of largecustomers' response to hourly varying prices. While two-thirdsexhibitsome price response, about 20 percent of customers provide 75-80 percentof the aggregate load reductions. Manufacturing customers are mostprice-responsive as a group, followed by government/education customers,while other sectors are largely unresponsive. However, individualcustomer response varies widely. Currently, enabling technologies do notappear to enhance hourly price response; customers report using them forother purposes. The New York Independent System Operator (NYISO)'semergency DR programs enhance price response, in part by signaling tocustomers that day-ahead prices are high. In sum, large customers docurrently provide moderate price response, but there is significant roomfor improvement through targeted programs that help customers develop andimplement automated load-response strategies.

Hopper, Nicole; Goldman, Charles; Neenan, Bernie

2006-05-12T23:59:59.000Z

450

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 in this marketing program and the situations when it can be used.

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

2008-10-17T23:59:59.000Z

451

The world price of coal  

E-Print Network (OSTI)

A significant increase in the seaborne trade for coal over the past twenty years has unified formerly separate coal markets into a world market in which prices move in tandem. Due to its large domestic market, the United ...

Ellerman, A. Denny

1994-01-01T23:59:59.000Z

452

Allocating Transmission to Mitigate Market Power in Electricity Markets  

E-Print Network (OSTI)

energy spot market equilibrium price is predictable, as it is with Cournot competition and information

Gilbert, Richard; Neuhoff, Karsten; Newberry, David

2002-01-01T23:59:59.000Z

453

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

454

Commerical Price - Marketers  

Annual Energy Outlook 2012 (EIA)

Annual Download Series History Download Series History Definitions, Sources & Notes Definitions, Sources & Notes Show Data By: Data Series Area 2006 2010 2011 View History...

455

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

456

Price Discrimination Based on Downstream Regulation: Evidence  

E-Print Network (OSTI)

-level regulation of the electricity market. Market power and price discrimination based on downstream regulation by evidence that state-level electricity market restructur- ing also affects the price power plants payPrice Discrimination Based on Downstream Regulation: Evidence from the Market for SO2 Scrubbers

Feigon, Brooke

457

Price caps for standard offer service: A hidden stranded cost  

Science Conference Proceedings (OSTI)

Some utility commissions or legislatures, concerned about mis-estimating the market line when calculating stranded costs, are choosing to require a price-capped standard offer service (SOS) to be offered by utilities in the competitive marketplace. This grants to customers the flexibility to switch from a fixed-price alternative with the utility to (or even to and from) a non-utility power supplier. Given the enormous uncertainty in future power market prices, this flexibility, which is being bestowed free-of-charge to customers, may prove to be of considerable value. Valuation of this SOS flexibility using call option techniques shows that this can be a non-trivial fraction of total stranded costs. The costs of price-capped SOS can be ameliorated through the structure of the price cap. This article describes the option-based techniques for valuing SOS and some approaches to limiting its cost to utilities.

Graves, F.; Liu, P. [Brattle Group, Cambridge, MA (United States)]|[Brattle Group, Washington, DC (United States)]|[Brattle Group, London (United Kingdom)

1998-12-01T23:59:59.000Z

458

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

459

Strategies for OPEC`s pricing and output decisions  

SciTech Connect

This paper examines OPEC pricing and output strategies, both to provide an understanding of OPECs unwise price doubling in 1979-80 and also to analyze what strategy might serve it best for the future. We focus on the unavoidable uncertainty regarding the underlying parameters that characterize the world oil market (price elasticities, income growth rates), and the sensitivity of discounted OPEC revenue to changes in these parameters, for various pricing strategies. In 1979-80, OPEC chose a high-price strategy, which could have yielded good results (like many other price-paths) if the market`s underlying parameters had been more favorable. But the price elasticities of demand and non-OPEC supply were much higher than anticipated, so that OPEC did very poorly-not only in absolute terms, but also relative to what it could have achieved if it had set its price more cautiously. We search for a robustly optimal strategy for OPEC in the future, which will serve it well relative to other strategies, regardless of the true parameter values underlying the market (within some plausible range). We conclude that OPEC`s interests will be served best by a policy of moderate output growth, at a rate no faster than that of world income growth. This will require that OPEC slow its rate of output growth since 1985, cutting it at least in half. Slowing its output growth will allow OPEC gradually to regain the market share lost after its disastrous 1979-80 price doubling, but without jeopardizing its revenue, as might a policy of more rapid increases in output. This will yield a consistently good result for OPEC, relative to alternative strategies, over a fairly wide range of demand and supply conditions. 53 refs., 7 figs., 3 tabs.

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

1995-12-31T23:59:59.000Z

460

MEAN REVERSION AND MOMENTUM: ANOTHER LOOK AT THE PRICE-VOLUME CORRELATION IN THE REAL ESTATE MARKET  

E-Print Network (OSTI)

Based on behavioral finance and economics literature, we construct a theoretical framework in which consumers of newly constructed housing units perceive prices to follow a stochastic mean reversion pattern. Given this belief and the high carrying cost maintained by real estate developers, potential buyers opt to either exercise immediately or defer the purchase. We simulate the model within a real option framework by which we show that the optimal time to wait before exercising a purchase is positively related to the price level; hence, a negative (positive) correlation between transaction volume and price level (yield) emerges. Observing data on housing prices and new construction sales in Israel for the years 1998-2007, we apply an adaptive expectation regression model to test consumers ' belief in both mean reversion and momentum price patterns. The empirical evidence shows that while consumers ’ demand pattern is simultaneously consistent with the belief in both momentum and mean reversion processes, the effect of the latter generally dominates. Moreover, while the data does not allow for testing the volume and price-level correlation, it does provide support to the positive volume-price yield correlation.

Yuval Arbel; Danny Ben-shahar; Eyal Sulganik

2008-01-01T23:59:59.000Z

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.


461

Alaska railroad's future freight market. Volume II. Final report 1 Jul 74--30 Apr 76  

SciTech Connect

The study forecasts the freight market of the Alaska Railroad (ARR) due to natural resource development and pipeline construction in Alaska. This has been done through: (a) evaluation of these resources with commercial development potential which could generate rail service demand; and (b) development and analysis of petroleum development schedules and pipeline construction scenarios. Detailed price and market analysis of Alaskan coal and copper resources were performed. Forecasts of ARR traffic were based upon econometric relationships between the Alaskan economy and petroleum royalties and construction expenditures. Volume Two inventories Alaskan natural resources. It includes detailed coal and copper evaluations, describes petroleum related growth and development in Alaska, and contains schedules of petroleum production, employment, state revenues, and pipeline construction employment by scenario.

Hillegas, B.D.; Pernela, L.M.; Lewis, D.C.

1976-06-01T23:59:59.000Z

462

The Alaska railroad's future freight market. Volume I. Final report, 1 Jul 1974--30 Apr 1976  

SciTech Connect

The study forecasts the freight market of The Alaska Railroad (ARR) due to natural resource development and pipeline construction in Alaska. This has been done through: (a) evaluation of those resources with commercial development potential which could generate rail service demand; and (b) development and analysis of petroleum development schedules and pipeline construction scenarios. Detailed price and market analyses of Alaskan coal and copper resources were performed. Forecasts of ARR traffic were based upon econometric relationship between the Alaska economy and petroleum royalties and construction expenditures. Volume One contains the Executive Summary; it describes the study scope and methodology, and highlights ARR's recent experiences, the Alaskan economy, and resource development status.

Hillegas, B.D.; Pernela, L.M.; Lewis, D.C.

1976-06-01T23:59:59.000Z

463

Open Automated Demand Response Dynamic Pricing Technologies and Demonstration  

SciTech Connect

This study examines the use of OpenADR communications specification, related data models, technologies, and strategies to send dynamic prices (e.g., real time prices and peak prices) and Time of Use (TOU) rates to commercial and industrial electricity customers. OpenADR v1.0 is a Web services-based flexible, open information model that has been used in California utilities' commercial automated demand response programs since 2007. We find that data models can be used to send real time prices. These same data models can also be used to support peak pricing and TOU rates. We present a data model that can accommodate all three types of rates. For demonstration purposes, the data models were generated from California Independent System Operator's real-time wholesale market prices, and a California utility's dynamic prices and TOU rates. Customers can respond to dynamic prices by either using the actual prices, or prices can be mapped into"operation modes," which can act as inputs to control systems. We present several different methods for mapping actual prices. Some of these methods were implemented in demonstration projects. The study results demonstrate show that OpenADR allows interoperability with existing/future systems/technologies and can be used within related dynamic pricing activities within Smart Grid.

Ghatikar, Girish; Mathieu, Johanna L.; Piette, Mary Ann; Koch, Ed; Hennage, Dan

2010-08-02T23:59:59.000Z

464

Prices and Price Setting.  

E-Print Network (OSTI)

??This 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)

Faber, R.P.

2010-01-01T23:59:59.000Z

465

Is Price Behavior Scaling and Multiscaling in a Dealer Market? Perspectives from Multi-Agent Based Experiments  

Science Conference Proceedings (OSTI)

Empirical findings point out that the scaling and multiscaling properties can be found in many dealer markets. But how do these properties emerge from these financial markets? What are the dynamical causes for these nonlinear properties? Are they the ... Keywords: Artificial dealer market, Bounded rationality, C63, D83, Heterogeneity, MF-DFA, Scaling and multiscaling properties

Ling-Yun He

2010-10-01T23:59:59.000Z

466

Optimization Online - Survivable Energy Markets  

E-Print Network (OSTI)

Mar 9, 2006... at the same time, the dayahead energy market and the reserve market in order to price through the market, beside energy, the overall cost of ...

467

FastFit - A Users Guide: Estimation of Uncertain Process Parameters and Generation of Forward Price Curves for Energy Markets  

Science Conference Proceedings (OSTI)

Valuation of electric power assets and contracts requires both forward prices (for electricity and fuels) and their associated levels of uncertainty. FastFit is a software package for estimating the underlying process parameters that characterize the uncertainty in terms of a three-factor, mean reverting stochastic process. FastFit then uses those parameters to develop or extend forward price forecasts for fuels and electricity. Employing Kalman Filtering (KF) and maximum likelihood estimation (MLE) tech...

2003-12-10T23:59:59.000Z

468

Forecasting world oil prices: the evolution of modeling methodologies and summary of recent projections  

SciTech Connect

This paper has three main objectives: (1) to review and summarize the varios methodologies that have been developed to explain historical oil price changes and forecast future price trends, (2) to summarize recent world oil price forecasts, and, when possible, discuss the methodologies used in formulating those forecasts, and (3) utilizing conclusions from the reviews of the modeling methodologies and the recent price forecasts, in combination with an assessment of recent and projected oil market trends, to give oil price projections for the time period 1987 to 2022. The paper argues that modeling methodologies have undergone significant evolution during the past decade as modelers increasingly recognize the complex and constantly changing structure of the world oil market. Unfortunately, a consensus about the appropriate methodology to use in formulating oil price forecasts is yet to be reached. There is, however, a general movement toward the opinion that both economic and political factors should be considered when making price projections. Likewise, there is no consensus about future oil price trends. Forecasts differ widely. However, in general, forecasts have been adjusted downwardly in recent years. Further, an overall assessment of the forecasts and recent oil market trends suggests that oil prices will remain constant in real terms for the remainder of the 1980s. Real oil prices are expected to increase by between 2 and 3% during the 1990s and beyond. Forecasters are quick to point out, however, that all forecasts are subject to significant uncertainty. 68 references, 1 figure, 6 tables.

Curlee, T.R.

1985-01-01T23:59:59.000Z

469

Gas Prices: Frequently Asked Questions  

NLE Websites -- All DOE Office Websites (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?

470

Capacity Markets for Electricity  

E-Print Network (OSTI)

incentives to respond to real-time prices. This implies thatve minutes and providing real-time price of See Joskow andthe highest prices in the PJM real-time spot market occurred

Creti, Anna; Fabra, Natalia

2004-01-01T23:59:59.000Z

471

Propane Market Status Report  

Gasoline and Diesel Fuel Update (EIA)

Propane Market Status Report 07272000 Click here to start Table of Contents Propane Market Status Report Propane Prices Follow Crude Oil Propane Demand by Sector Demand Impacted...

472

Capacity Markets for Electricity  

E-Print Network (OSTI)

ternative Approaches for Power Capacity Markets”, Papers andand Steven Stoft, “Installed Capacity and Price Caps: Oil onElectricity Markets Have a Capacity requirement? If So, How

Creti, Anna; Fabra, Natalia

2004-01-01T23:59:59.000Z

473

Market  

... and its contributions to society and the economy; The marketing group values suggestions from researchers regarding companies to approach.

474

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.

475

Strategic Price Competition and Price Disperion in the Airline Industry: A Conceptual Framework and Empirical Analysis.  

E-Print Network (OSTI)

??It is a generally accepted belief in marketing literature that variation in prices, i.e. price dispersion, is a critical, strategic factor that influences product demand,… (more)

Gailey, Edward D.

2009-01-01T23:59:59.000Z

476

Inefficiencies and Market Power in Financial Arbitrage: A Study of California’s Electricity Markets  

E-Print Network (OSTI)

s imbalance energy market set a uniform price based upon theimbalance energy market was subject to a price cap that wasimbalance energy market if the PX day-ahead price was too

Borenstein, Severin; Bushnell, James; Wolfram, Catherine D

2006-01-01T23:59:59.000Z

477

Inefficiencies and Market Power in Financial Arbitrage: A Study of California's Electricity Markets  

E-Print Network (OSTI)

the imbalance energy market set a uniform price based uponimbalance energy market was subject to a price cap that wasimbalance energy market if the PX day-ahead price was too

Borenstein, Severin; Bushnell, James; Knittel, Christopher R.; Wolfram, Catherine

2004-01-01T23:59:59.000Z

478

Rethinking Real Time Electricity Pricing  

E-Print Network (OSTI)

Most US consumers are charged a near-constant retail price for electricity, despite substantial hourly variation in the wholesale market price. This paper evaluates the .rst program to expose residential consumers to hourly ...

Allcott, Hunt

479

Propane Prices Follow Crude Oil  

Gasoline and Diesel Fuel Update (EIA)

of the first signals in deciphering what is happening in the market. This chart shows propane prices (both spot and retail) as well as WTI. As you can see, most prices track the...

480

Pennsylvania Price of Natural Gas Delivered to Commercial Sectors ...  

U.S. Energy Information Administration (EIA)

Pennsylvania Price of Natural Gas Delivered to Commercial Sectors by Marketers (Dollars per Thousand Cubic Feet)

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

Pennsylvania Price of Natural Gas Delivered to Residential ...  

U.S. Energy Information Administration (EIA)

Pennsylvania Price of Natural Gas Delivered to Residential Consumers by Marketers (Dollars per Thousand Cubic Feet)

482

Proceedings of the Chinese-American symposium on energy markets and the future of energy demand  

SciTech Connect

The Symposium was organized by the Energy Research Institute of the State Economic Commission of China, and the Lawrence Berkeley Laboratory and Johns Hopkins University from the United States. It was held at the Johns Hopkins University Nanjing Center in late June 1988. It was attended by about 15 Chinese and an equal number of US experts on various topics related to energy demand and supply. Each presenter is one of the best observers of the energy situation in their field. A Chinese and US speaker presented papers on each topic. In all, about 30 papers were presented over a period of two and one half days. Each paper was translated into English and Chinese. The Chinese papers provide an excellent overview of the emerging energy demand and supply situation in China and the obstacles the Chinese planners face in managing the expected increase in demand for energy. These are matched by papers that discuss the energy situation in the US and worldwide, and the implications of the changes in the world energy situation on both countries. The papers in Part 1 provide historical background and discuss future directions. The papers in Part 2 focus on the historical development of energy planning and policy in each country and the methodologies and tools used for projecting energy demand and supply. The papers in Part 3 examine the pattern of energy demand, the forces driving demand, and opportunities for energy conservation in each of the major sectors in China and the US. The papers in Part 4 deal with the outlook for global and Pacific region energy markets and the development of the oil and natural gas sector in China.

Meyers, S. (ed.)

1988-11-01T23:59:59.000Z

483

1 Regulation of Gas Marketing Activities in Mexico  

E-Print Network (OSTI)

We study linking the Mexican market for natural gas with the North American market and the implications of these links on efficient marketing of gas in Mexico. We argue that PEMEX should be permitted to enter into spot contracts or future contracts to sell gas, however, the price of gas should always be the net back price based on the Houston Ship Channel at the time of delivery. PEMEX should not be permitted to discount the price of gas from the Houston netback price even in a nondiscriminatory fashion. This arrangement is transparent, it is easy to enforce and does not eliminate any legitimate market options for any of the parties involved. PEMEX or consumers of gas can use the Houston market for hedging of speculative transactions.

Dagobert L. Brito; Juan Rosellon; Mexico D. F

1999-01-01T23:59:59.000Z

484

Open Automated Demand Response Technologies for Dynamic Pricing and Smart Grid  

Science Conference Proceedings (OSTI)

We present an Open Automated Demand Response Communications Specifications (OpenADR) data model capable of communicating real-time prices to electricity customers. We also show how the same data model could be used to for other types of dynamic pricing tariffs (including peak pricing tariffs, which are common throughout the United States). Customers participating in automated demand response programs with building control systems can respond to dynamic prices by using the actual prices as inputs to their control systems. Alternatively, prices can be mapped into"building operation modes," which can act as inputs to control systems. We present several different strategies customers could use to map prices to operation modes. Our results show that OpenADR can be used to communicate dynamic pricing within the Smart Grid and that OpenADR allows for interoperability with existing and future systems, technologies, and electricity markets.

Ghatikar, Girish; Mathieu, Johanna L.; Piette, Mary Ann; Kiliccote, Sila

2010-06-02T23:59:59.000Z

485

The Role of Demand Response in Default Service Pricing  

E-Print Network (OSTI)

LBNL-57661: August 2005. Real-time prices are set every fiveThe hourly PJM real time market price is a weighted averageto estimate real time market prices. New Jersey utilities

Barbose, Galen; Goldman, Charles; Neenan, Bernie

2008-01-01T23:59:59.000Z

486

Economic Effects of High Oil Prices (released in AEO2006)  

Reports and Publications (EIA)

The AEO2006 projections of future energy market conditions reflect the effects of oil prices on the macroeconomic variables that affect oil demand, in particular, and energy demand in general. The variables include real GDP growth, inflation, employment, exports and imports, and interest rates.

Information Center

2006-02-01T23:59:59.000Z

487

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

488

Restructuring and renewable energy developments in California:using Elfin to simulate the future California power market  

SciTech Connect

We provide some basic background information on support for renewable in California on the expected operation of the power pool and bilateral markets, and on the three key policy types modeled here. We discuss the Elfin production cost and expansion planning model as well as key assumptions that we made to model the future California pool. We present results from the successful Elfin models runs. We discuss the implications of the study, as well as key areas for future research. Additional information on results, Elfin's expansion planning logic, and resource options can be found in the appendices.

Kirshner, Dan; Kito, Suzie; Marnay, Chris; Pickle, Steve; Schumacher, Katja; Sezgen,Osman; Wiser, Ryan

1998-06-01T23:59:59.000Z

489

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  

NLE Websites -- All DOE Office Websites (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

490

An overview of alternative fossil fuel price and carbon regulation scenarios  

E-Print Network (OSTI)

Energy Laboratory. Natural Gas Price Scenarios Amongvolatile-priced. 4 Future natural gas prices are also highlysection we benchmark the natural gas prices contained in the

Wiser, Ryan; Bolinger, Mark

2004-01-01T23:59:59.000Z

491

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

E-Print Network (OSTI)

as is solar photovoltaic, leaving onshore wind which is almost competitive at present prices but faces challenges in visual acceptability and transmission connection. Offshore wind is costly, and so the concentrated power in North Africa appears a long way... , as Roques et al (2006, 2008) show. SKM (2008) gives rather optimistic levellised costs in 2020 at £38/MWh assuming a CO2 price of €30/EUA, gas at 55p/therm and coal at $110/tonne, when on-shore wind would be £60/MWh, offshore wind £85/MWh and both coal...

Newbery, David

492

High Electricity Prices  

E-Print Network (OSTI)

Generators supplying electricity markets are subject to volatile input and output prices and uncertain fuel availability. Price-risk may be hedged to a considerable extent but fuel-risk — water flows in the case of hydro and gas availability in the case of thermal plants — may not be. We show that a price-taking generator will only generate when the output price exceeds its marginal cost by an amount that reflects the value of the option to delay the use of stored fuel. The corresponding offer price is different from the theorized offer prices of static uniform auctions and more akin to pay-as-bid auction prices. We argue that the option value of delaying fuel use, which is an increasing function of spot price volatility and the uncertainty about fuel availability, must be considered when evaluating whether market power is present in electricity markets. The engineering approach to simulating an electricity supply curve, which has been used in market power evaluations to date, may lead to supply curves that are quite different from those that recognize possible fuel availability limitations, even in the complete absence of market power.

Kevin Counsell; Graeme Guthrie; Steen Videbeck

2006-01-01T23:59:59.000Z

493

Modeling the U.S. Rooftop Photovoltaics Market  

DOE Green Energy (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

494

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

495

The Dynamics of Price Discovery ?  

E-Print Network (OSTI)

When arbitrage related prices share the same underlying asset, there are multiple channels to incorporate new information on the fundamental value of the asset. In this paper, we present an empirical microstructure model to characterize each channel’s price discovery speed. We identify the information sources of price adjustments to separate price discovery from the market responses to liquidity shocks. We assess market efficiency of price discovery visually, by the time paths of price convergence toward the new fundamental value, and numerically, by the magnitude of pricing errors during the price discovery process. We also use our price discovery model to illustrate the structural determinants of two often used price discovery measures: the information share and component share. We show that two measures are static and unable to reveal the underlying price discovery dynamics between markets. Applying our new measures to quotes from spot foreign exchange rates, we find that substantial price discovery of the yen/euro exchange rate occurs through the US dollar. The dollar’s price discovery contribution is positively related to the relative liquidity of the dollar markets versus the cross rate market, and reaches a minimum during the European business hours.

Bingcheng Yan; Eric Zivot

2004-01-01T23:59:59.000Z

496

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

497

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

498

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

499

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

500

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