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Note: This page contains sample records for the topic "high price volatility" 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

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

2

Oil Price Volatility  

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

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

3

Volatility and commodity price dynamics  

E-Print Network (OSTI)

Commodity prices tend to be volatile, and volatility itself varies over time. changes in volatility can affect market variables by directly affecting the marginal value of storage, and by affecting a component of the total ...

Pindyck, Robert S.

2001-01-01T23:59:59.000Z

4

Product Price Volatility - Energy Information Administration  

U.S. Energy Information Administration (EIA)

Product Price Volatility-This Year and in the Future. Crude Oil -- Continued tight balance leaves world on thin edge Distillate Winter Price Retrospective Why a ...

5

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

6

Seasonal Volatility in Energy Prices: Modeling Seasonality in Natural Gas and Electricity Price Volatility  

Science Conference Proceedings (OSTI)

The modeling and measurement of price uncertainty are essential prerequisites to asset valuation and risk management in electric power. Practical, realistic models must take into account the systematic time patterns exhibited by price volatility. This report uses new data and techniques to reexamine the seasonal nature of energy price volatility.

2004-12-15T23:59:59.000Z

7

Metal price volatility : a study of informative metrics and the volatility mitigating effects of recycling  

E-Print Network (OSTI)

Metal price volatility is undesirable for firms that use metals as raw materials, because price volatility can translate into volatility of material costs. Volatile material costs and can erode the profitability of the ...

Fleming, Nathan Richard

2011-01-01T23:59:59.000Z

8

Fuel and Power Price Volatilities and Convergence  

Science Conference Proceedings (OSTI)

As more energy is traded in competitive markets, the financial performance of generation companies will be increasingly determined by how well they understand and exploit the price behavior of those markets. How volatile are fuel and power prices? How do they correlate with one another? This report addresses these questions in several wholesale electricity and fuel markets and discusses implications of changing patterns of price behavior to fuel and asset management.

1999-05-27T23:59:59.000Z

9

Natural Gas Has Been The Most Volatile Of Energy Prices ...  

U.S. Energy Information Administration (EIA)

Price volatility in the natural gas market generally exceeds volatility in markets for other energy as well as other commodity markets. In fact, ...

10

Quantifying the value that wind power provides as a hedge against volatile natural gas prices  

E-Print Network (OSTI)

AGAINST VOLATILE NATURAL GAS PRICES Mark Bolinger, RyanAGAINST VOLATILE NATURAL GAS PRICES Mark Bolinger, Ryanwake of unprecedented natural gas price volatility during

Bolinger, Mark; Wiser, Ryan; Golove, William

2002-01-01T23:59:59.000Z

11

Quantifying the value that wind power provides as a hedge against volatile natural gas prices  

E-Print Network (OSTI)

AGAINST VOLATILE NATURAL GAS PRICES Mark Bolinger, RyanAGAINST VOLATILE NATURAL GAS PRICES Mark Bolinger, Ryanof unprecedented natural gas price volatility during the

Bolinger, Mark; Wiser, Ryan; Golove, William

2002-01-01T23:59:59.000Z

12

The impact of fuel price volatility on transportation mode choice  

E-Print Network (OSTI)

In recent years, the price of oil has driven large fluctuations in the price of diesel fuel, which is an important cost component in freight logistics. This thesis explores the impact of fuel price volatility on supply ...

Kim, Eun Hie

2009-01-01T23:59:59.000Z

13

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

14

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

15

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

16

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

17

Price Volatility In - Energy Information Administration  

U.S. Energy Information Administration (EIA)

The principal drivers behind this volatility are supply and demand fundamentals, which include the weather, storage activities, and the perception of market conditions.

18

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

E-Print Network (OSTI)

Against Volatile Natural Gas Prices Mark Bolinger, Ryanwake of unprecedented natural gas price volatility duringyears) to a 10-year natural gas price forecast (i.e. , what

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

2002-01-01T23:59:59.000Z

19

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

E-Print Network (OSTI)

Against Volatile Natural Gas Prices Mark Bolinger, Ryanof unprecedented natural gas price volatility during thethe cost of hedging gas price risk through financial hedging

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

2002-01-01T23:59:59.000Z

20

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

E-Print Network (OSTI)

Gas Pricing by Regulated Natural Gas Utilities, Docket No.a Hedge Against Volatile Natural Gas Prices Mark Bolinger,wake of unprecedented natural gas price volatility during

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

2002-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "high price volatility" 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

Quantifying the value that wind power provides as a hedge against volatile natural gas prices  

E-Print Network (OSTI)

Gas Pricing by Regulated Natural Gas Utilities, Docket No.A HEDGE AGAINST VOLATILE NATURAL GAS PRICES Mark Bolinger,A HEDGE AGAINST VOLATILE NATURAL GAS PRICES Mark Bolinger,

Bolinger, Mark; Wiser, Ryan; Golove, William

2002-01-01T23:59:59.000Z

22

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

23

Oil Price Volatility - Energy Information Administration  

U.S. Energy Information Administration (EIA)

... [stock] prices and the reasons therefore ... fixed asset supply ? can only take place among a subset of participants, e.g. speculators.

24

Asymptotic Behavior of the Stock Price Distribution Density and Implied Volatility in Stochastic Volatility Models  

Science Conference Proceedings (OSTI)

We study the asymptotic behavior of distribution densities arising in stock price models with stochastic volatility. The main objects of our interest in the present paper are the density of time averages of the squared volatility process and the density of the stock price process in the Stein-Stein and the Heston model. We find explicit formulas for leading terms in asymptotic expansions of these densities and give error estimates. As an application of our results, sharp asymptotic formulas for the implied volatility in the Stein-Stein and the Heston model are obtained.

Gulisashvili, Archil, E-mail: guli@math.ohiou.ed [Ohio University, Department of Mathematics (United States); Stein, Elias M., E-mail: stein@math.princeton.ed [Princeton University, Department of Mathematics (United States)

2010-06-15T23:59:59.000Z

25

Volatile coal prices reflect supply, demand uncertainties  

SciTech Connect

Coal mine owners and investors say that supply and demand are now finally in balance. But coal consumers find that both spot tonnage and new contract coal come at a much higher price.

Ryan, M.

2004-12-15T23:59:59.000Z

26

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 Administrations (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

27

Gasoline Price Volatility Is a Concern This Summer  

Gasoline and Diesel Fuel Update (EIA)

5 of 5 5 of 5 Notes: March began with gasoline spot prices showing large increases over crude oil. Spot prices were nearly 20 cents per gallon over the already high crude oil prices, when normally the spread would be half that size. This spread was comparable to the spread seen in August 1997 when high demand, low stocks, and some refinery problems cause prices to surge. By the end of March the spread had fallen to about 16 cents per gallon, and by mid April was at about 11 cents per gallon as the inventory situation improved. Crude oil prices have also been falling, pulling gasoline spot prices down. Retail prices, which lag behind changes in the spot market, are turning down also. Regular gasoline prices peaked the week of March 20 at $1.53 and fell to $1.48 the week of April 10.

28

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

E-Print Network (OSTI)

then pay/receive the real- time price for deviations fromI assume that the retail real-time prices customers face arewould likely dampen real-time price volatility and the

Borenstein, Severin

2007-01-01T23:59:59.000Z

29

QUANTIFYING THE VALUE THAT WIND POWER PROVIDES AS A HEDGE AGAINST VOLATILE NATURAL GAS PRICES  

E-Print Network (OSTI)

1 LBNL-50484 QUANTIFYING THE VALUE THAT WIND POWER PROVIDES AS A HEDGE AGAINST VOLATILE NATURAL GAS VOLATILE NATURAL GAS PRICES Mark Bolinger, Ryan Wiser, and William Golove Ernest Orlando Lawrence Berkeley natural gas price volatility during the winter of 2000/2001 ­ have mostly been qualitative in nature

30

Perturbation Expansion for Option Pricing with Stochastic Volatility  

E-Print Network (OSTI)

We fit the volatility fluctuations of the S&P 500 index well by a Chi distribution, and the distribution of log-returns by a corresponding superposition of Gaussian distributions. The Fourier transform of this is, remarkably, of the Tsallis type. An option pricing formula is derived from the same superposition of Black-Scholes expressions. An explicit analytic formula is deduced from a perturbation expansion around a Black-Scholes formula with the mean volatility. The expansion has two parts. The first takes into account the non-Gaussian character of the stock-fluctuations and is organized by powers of the excess kurtosis, the second is contract based, and is organized by the moments of moneyness of the option. With this expansion we show that for the Dow Jones Euro Stoxx 50 option data, a Delta-hedging strategy is close to being optimal.

Jizba, Petr; Haener, Patrick

2007-01-01T23:59:59.000Z

31

Perturbation Expansion for Option Pricing with Stochastic Volatility  

E-Print Network (OSTI)

We fit the volatility fluctuations of the S&P 500 index well by a Chi distribution, and the distribution of log-returns by a corresponding superposition of Gaussian distributions. The Fourier transform of this is, remarkably, of the Tsallis type. An option pricing formula is derived from the same superposition of Black-Scholes expressions. An explicit analytic formula is deduced from a perturbation expansion around a Black-Scholes formula with the mean volatility. The expansion has two parts. The first takes into account the non-Gaussian character of the stock-fluctuations and is organized by powers of the excess kurtosis, the second is contract based, and is organized by the moments of moneyness of the option. With this expansion we show that for the Dow Jones Euro Stoxx 50 option data, a Delta-hedging strategy is close to being optimal.

Petr Jizba; Hagen Kleinert; Patrick Haener

2007-08-22T23:59:59.000Z

32

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

33

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

34

Gasoline Price Volatility Is a Concern This Summer  

Gasoline and Diesel Fuel Update (EIA)

6 6 Notes: Last summer's low stocks and transition to Phase 2 RFG added price pressure over and above the already high crude price pressure on gasoline. As we ended last winter, gasoline inventories were low, and the spread between spot prices and crude oil were higher than typical as a result. Inventories did not recover and the spread remained higher than average through most of the summer. In November and December, as gasoline demand eased, prices relaxed and spreads returned to average levels -- only to rebound again in January and February as refineries began to undergo maintenance and the market watched the already low stock cushion erode further. This February, spreads are higher than last year -- averaging 14 cents so far. This is about twice what we would typically see this time of

35

Fundamentals Explain High Prices  

Gasoline and Diesel Fuel Update (EIA)

9 9 Notes: One can use a simple model to deal with price/fundamental relationships. This one predicts monthly average WTI price as a function of OECD total petroleum stock deviations from the normal levels . The graph shows the model as it begins predicting prices in 1992. It shows how well the model has predicted not only the direction, but the magnitude of prices over this 8+ year period. While the model is simple and not perfect, it does predict the overall trends and, in particular, the recent rise in prices. It also shows that prices may have over-shot the fundamental balance for a while -- at least partially due to speculative concerns over Mideast tensions, winter supply adequacy, and Iraq's export policies. Prices now seem to be correcting, and may even undershoot briefly

36

Demand and Price Volatility: Rational Habits in International Gasoline Demand  

E-Print Network (OSTI)

capita terms. When crude oil prices are used, these are thedriven by the world crude oil price rather than by exchange-how consumers think about oil prices and price expectations,

Scott, K. Rebecca

2011-01-01T23:59:59.000Z

37

Federal Reserve Bank of DallasTime-Varying Oil Price Volatility and Macroeconomic Aggregates  

E-Print Network (OSTI)

We illustrate the theoretical relation among output, consumption, investment, and oil price volatility in a real business cycle model. The model incorporates demand for oil by a firm, as an intermediate input, and by a household, used in conjunction with a durable good. We estimate a stochastic volatility process for the real price of oil over the period 1986-2011 and utilize the estimated process in a non-linear approximation of the model. For realistic calibrations, an increase in oil price volatility produces a temporary decrease in durable spending, while precautionary savings motives lead investment and real GDP to rise. Irreversible capital and durable investment decisions do not overturn this result.

Michael Plante; Michael Plante; Nora Traum; We Thank Ron Alquist; Sebnem Kalemli-ozcan; Junghoon Lee; James Murray

2012-01-01T23:59:59.000Z

38

Demand and Price Volatility: Rational Habits in International Gasoline Demand  

E-Print Network (OSTI)

shift in the short-run price elasticity of gasoline demand.A meta-analysis of the price elasticity of gasoline demand.2007. Consumer demand un- der price uncertainty: Empirical

Scott, K. Rebecca

2011-01-01T23:59:59.000Z

39

Asymptotic expansion for pricing options for a mean-reverting asset with multiscale stochastic volatility  

Science Conference Proceedings (OSTI)

This work investigates the valuation of options when the underlying asset follows a mean-reverting log-normal process with a stochastic volatility that is driven by two stochastic processes with one persistent factor and one fast mean-reverting factor. ... Keywords: Mean reversion, Multiscale asymptotic, Option pricing, Stochastic volatility

Mei Choi Chiu; Yu Wai Lo; Hoi Ying Wong

2011-07-01T23:59:59.000Z

40

Advances in Volatility Modeling for Energy Markets: Methods for Reproducing Volatility Clustering, Fat Tails, Smiles, and Smirks in Energy Price Forecasts  

Science Conference Proceedings (OSTI)

This report describes research sponsored by the Electric Power Research Institute (EPRI) to develop a new model of energy price volatility. For many years, EPRI has worked with a flexible and tractable volatility model that successfully captures the term "structure of volatility," including the properties commonly referred to as "mean reversion" and "seasonality." However, that model does not capture random volatility, evidenced by volatility clustering, nor does it capture skewness and excess kurtosis i...

2011-12-30T23:59:59.000Z

Note: This page contains sample records for the topic "high price volatility" 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

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

42

Low Distillate Stocks Set Stage for Price Volatility  

U.S. Energy Information Administration (EIA)

This distillate price spike is a classic response to a local supply and demand imbalance that began as a result of low distillate stocks. Low distillate stocks in the ...

43

Low Distillate Stocks Set Stage for Price Volatility  

Gasoline and Diesel Fuel Update (EIA)

areas for a time, requiring unusual movement of stock from other areas. As buyers search for product, they bid prices up rapidly, which attracts product, but the time lag can...

44

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

45

Residential Prices Do Not Reflect the Volatility Seen in Wellhead Prices  

Gasoline and Diesel Fuel Update (EIA)

5 5 Notes: A key concern about the level of current wellhead prices is the impact on consumers, especially residential and small-volume commercial customers Using monthly average prices for residential customers and daily Henry Hub spot prices for the past 4 winters: significant price fluctuations are apparent at the Henry Hub, but residential prices respond relatively less. The major reasons for the lesser response in residential prices are: Gas supplies to residential customers generally are arranged prior to delivery, and agreed price terms, while flexible, generally do not fully reflect contemporaneous wellhead price shifts Gas commodity charges are a fraction of the delivery price for small customers-averaging about 33 percent during the heating season. Costs of

46

Petroleum Outlook:.More Volatility?  

Gasoline and Diesel Fuel Update (EIA)

Outlook: More Volatility? Outlook: More Volatility? 3/19/01 Click here to start Table of Contents Petroleum Outlook: More Volatility? Product Price Volatility-This Year and in the Future WTI Crude Oil Price: Potential for Volatility Around Base Case OPEC Crude Oil Production 1998-2001 Annual World Oil Demand Growth by Region, 1991-2001 Low Total OECD Oil Stocks* Keep Market Balance Tight Fundamentals Explain High Crude Oil Prices Product Price Spreads Over Crude Oil Reflect Product Market-Based Volatility U.S. Distillate Inventories Distillate Winter Demand Stronger Than Temperatures Would Imply High Production Offset Lack of Inventory High Production Came From High Yields & High Inputs High Margins Bring High Imports Gasoline Price Volatility Is a Concern This Summer Gasoline Volatility

47

Low Distillate Stocks Set Stage for Price Volatility  

Gasoline and Diesel Fuel Update (EIA)

Along with the recent rise in crude oil prices, low stocks of Along with the recent rise in crude oil prices, low stocks of distillate fuels left markets in a vulnerable position. As we went into our two biggest distillate demand months, January and February, U.S. distillate stocks were very low -- particularly on the East and Gulf Coasts. The East Coast is the primary heating oil region, and it depends heavily on production from the Gulf Coast as well. Distillate stocks in the U.S. and Europe were in surplus supply as recently as October, but distillate stocks did not build as they usually do during the late fall, and declined more sharply than usual in December. December stocks closed well below the normal range. The unusual drawdown, in contrast to the more normal building pattern, resulted in distillate inventory levels about 3 million barrels lower than the very low

48

Commodity High Performance Computing at Commodity Prices  

E-Print Network (OSTI)

The entry price of supercomputing has traditionally been very high. As processing elements, operating systems, and switch technology become cheap commodity parts, building a powerful supercomputer at a fraction of the price of a proprietary system becomes realistic.

Simon Cox Denis; Simon J. Cox; Denis A. Nicole; Kenji Takeda

1998-01-01T23:59:59.000Z

49

Quantifying the value that wind power provides as a hedge against volatile natural gas prices  

DOE Green Energy (OSTI)

Advocates of renewable energy have long argued that wind power and other renewable technologies can mitigate fuel price risk within a resource portfolio. Such arguments--made with renewed vigor in the wake of unprecedented natural gas price volatility during the winter of 2000/2001--have mostly been qualitative in nature, however, with few attempts to actually quantify the price stability benefit that wind and other renewables provide. This paper attempts to quantify this benefit by equating it with the cost of achieving price stability through other means, particularly gas-based financial derivatives (futures and swaps). We find that over the past two years, natural gas consumers have had to pay a premium of roughly 0.50 cents/kWh over expected spot prices to lock in natural gas prices for the next 10 years. This incremental cost is potentially large enough to tip the scales away from new investments in natural gasfired generation and in favor of investments in wind power and other renewable technologies.

Bolinger, Mark; Wiser, Ryan; Golove, William

2002-05-31T23:59:59.000Z

50

1 QUANTIFYING THE VALUE THAT WIND POWER PROVIDES AS A HEDGE AGAINST VOLATILE NATURAL GAS PRICES  

E-Print Network (OSTI)

Advocates of renewable energy have long argued that wind power and other renewable technologies can mitigate fuel price risk within a resource portfolio. Such arguments made with renewed vigor in the wake of unprecedented natural gas price volatility during the winter of 2000/2001 have mostly been qualitative in nature, however, with few attempts to actually quantify the price stability benefit that wind and other renewables provide. This paper attempts to quantify this benefit by equating it with the cost of achieving price stability through other means, particularly gas-based financial derivatives (futures and swaps). We find that over the past two years, natural gas consumers have had to pay a premium of roughly 0.50/kWh over expected spot prices to lock in natural gas prices for the next 10 years. This incremental cost is potentially large enough to tip the scales away from new investments in natural gasfired generation and in favor of investments in wind power and other renewable technologies.

Mark Bolinger; Ryan Wiser; William Golove; Mark Bolinger; Ryan Wiser; William Golove

2002-01-01T23:59:59.000Z

51

WTI Crude Oil Prices Are Expected To Remain Relatively High Through At  

Gasoline and Diesel Fuel Update (EIA)

5 5 Notes: As we just saw, one of the primary factors impacting gasoline price is the crude oil price. This graph shows monthly average spot West Texas Intermediate crude oil prices. Spot WTI crude oil prices broke $36 per barrel in November briefly as anticipated boosts to world supply from OPEC and other sources did not show up in actual stocks data. Crude oil prices are expected to be about $30 per barrel for the rest of this year, but note the uncertainty bands on this projection. They give an indication of how difficult it is to know what these prices are going to do. Also, EIA does not forecast volatility. This relatively flat forecast could be correct on average, with wide swings around the base line. With the EIA forecast for crude prices staying high this year,

52

High Crude Prices Go With Low Inventories  

Gasoline and Diesel Fuel Update (EIA)

8 8 Notes: As global production changed relative to demand, the world moved from a period of "over supply" in 1998 to one of "under supply" in 1999 and 2000. Inventories are a good means of seeing the imbalance between petroleum production and demand. For example, when production exceeds demand, inventories rise. A large oversupply will put downward pressure on prices, while undersupply will cause prices to rise. OECD inventories illustrate the changes in the world balance. OECD inventories rose to very high levels during 1997 and 1998 when production exceeded demand and prices plummeted to almost $10 in December 1998. However, when inventories fell to the low levels seen above during 1999 and early 2000 as demand exceeded production, prices rose to $35 per barrel at

53

Microsoft Word - high-oil-price.doc  

Gasoline and Diesel Fuel Update (EIA)

Short Term Energy Outlook Short Term Energy Outlook 1 STEO Supplement: Why are oil prices so high? During most of the 1990s, the West Texas Intermediate (WTI) crude oil price averaged close to $20 per barrel, before plunging to almost $10 per barrel in late 1998 as a result of the Asian financial crisis slowing demand growth while extra supply from Iraq was entering the market for the first time since the Gulf War. Subsequently, as Organization of Petroleum Exporting Countries (OPEC) producers more closely adhered to a coordinated production quota and reduced output, crude oil prices not only recovered, but increased to about $30 per barrel as demand grew as Asian economies recovered. The most recent increase in crude oil prices began in 2004, when they almost doubled from 2003 levels, rising from about $30 per barrel at the end

54

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

E-Print Network (OSTI)

the ?uctuations in electricity bills that are conceivable.concern about analyzing electricity bill volatility of largeat a The issue of electricity bill volatility from RTP

Borenstein, Severin

2007-01-01T23:59:59.000Z

55

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, 3862. (2005): Real Time Price Discovery in Stock, Bond

Rangel, Jose Gonzalo

2006-01-01T23:59:59.000Z

56

April 2006 Factsheet: How to Beat High Gasoline Prices | Department...  

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

April 2006 Factsheet: How to Beat High Gasoline Prices April 2006 Factsheet: How to Beat High Gasoline Prices A fact sheet from April 2006 on ways for consumers to reduce their...

57

ELECTRICITY FORWARD PRICES: A High-Frequency Empirical Analysis  

E-Print Network (OSTI)

electricity prices reported by PJM. Prices are reported inNew Jersey, Maryland (PJM) electricity market for the periodusing the high-frequency PJM data set and documenting risk-

Longstaff, Francis A; Wang, Ashley

2002-01-01T23:59:59.000Z

58

Electricity Forward Prices: A High-Frequency Empirical Analysis  

E-Print Network (OSTI)

electricity prices reported by PJM. Prices are reported inNew Jersey, Maryland (PJM) electricity market for the periodusing the high-frequency PJM data set and documenting risk-

Longstaff, Francis; Wang, Ashley

2002-01-01T23:59:59.000Z

59

Why Are Oil Prices So High? - Energy Information Administration  

U.S. Energy Information Administration (EIA)

Why Are Oil Prices So High? 1 Crude oil prices have increased dramatically in recent ... will be about 10 million barrels below the 5 ?year average by the end of this

60

Annual Energy Outlook 2007 - High Price Case Tables  

Gasoline and Diesel Fuel Update (EIA)

Price Case Tables (2004-2030) Annual Energy Outlook 2007 with Projections to 2030 MS Excel Viewer Spreadsheets are provided in Excel High Price Case Tables (2004-2030) Table Title...

Note: This page contains sample records for the topic "high price volatility" 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

Annual Energy Outlook 2008 - High Price Case Tables  

Annual Energy Outlook 2012 (EIA)

Price Case Tables (2005-2030) Annual Energy Outlook 2008 with Projections to 2030 MS Excel Viewer Spreadsheets are provided in Excel High Price Case Tables (2005-2030) Table Title...

62

Quantifying the value that wind power provides as a hedge against volatile natural gas prices  

E-Print Network (OSTI)

hedges include fixed-price natural gas supply contractsfixed-price gas supply contracts and natural gas storage.natural gas storage facilities. Since, in contrast to many financial hedges, physical supply

Bolinger, Mark; Wiser, Ryan; Golove, William

2002-01-01T23:59:59.000Z

63

www.ucei.org Customer Risk from Real-Time Retail Electricity Pricing: Bill Volatility and Hedgability  

E-Print Network (OSTI)

Abstract: One of the most critical concerns that customers have voiced in the debate over real-time retail electricity pricing is that they would be exposed to risk from fluctuations in their electricity cost. The concern seems to be that a customer could find itself consuming a large quantity of power on the day that prices skyrocket and thus receive a monthly bill far larger than it had budgeted for. I analyze the magnitude of this risk, using demand data from 1142 large industrial customers, and then ask how much of this risk can be eliminated through various straightforward financial instruments. I find that very simple hedging strategies can eliminate more than 80 % of the bill volatility that would otherwise occur. Far from being complex, mystifying financial instruments that only a Wall Street analyst could love, these are simple forward power purchase contracts, and are already offered to retail customers by a number of fully-regulated utilities that operate real-time pricing programs. I then show that a slightly more sophisticated application of these forward power purchases can significantly enhance their effect on reducing bill volatility. 1

Severin Borenstein; Severin Borenstein

2006-01-01T23:59:59.000Z

64

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

65

Fundamentals Explain High Crude Oil Prices  

Gasoline and Diesel Fuel Update (EIA)

6 6 Notes: One can use a simple model to deal with price/fundamental relationships. This one predicts monthly average WTI price as a function of OECD total petroleum stock deviations from the normal levels. The graph shows the model as it begins predicting prices in 1992. It shows how well the model has predicted not only the direction, but the magnitude of prices over this 8+ year period. While the model is simple and not perfect, it does predict the overall trends and, in particular, the recent rise in prices. It also shows that prices may have over-shot the fundamental balance for a while -- at least partially due to speculative concerns over Mideast tensions, winter supply adequacy, and Iraq's export policies. Prices moved lower in December, and even undershot briefly the

66

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

67

China, India demand cushions prices  

SciTech Connect

Despite the hopes of coal consumers, coal prices did not plummet in 2006 as demand stayed firm. China and India's growing economies, coupled with solid supply-demand fundamentals in North America and Europe, and highly volatile prices for alternatives are likely to keep physical coal prices from wide swings in the coming year.

Boyle, M.

2006-11-15T23:59:59.000Z

68

Operation of Distributed Generation Under Stochastic Prices  

E-Print Network (OSTI)

increases with electricity price volatility as expected,Intuitively, as the electricity price becomes more volatile,between it and the electricity price, there will be fewer

Siddiqui, Afzal S.; Marnay, Chris

2005-01-01T23:59:59.000Z

69

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

70

STEO Supplement: Why are oil prices so high?  

U.S. Energy Information Administration (EIA)

Energy Information Administration/Short Term Energy Outlook 1 STEO Supplement: Why are oil prices so high? During most of the 1990s, the West Texas Intermediate (WTI ...

71

China's coal price disturbances: Observations, explanations, and implications for global energy economies  

E-Print Network (OSTI)

China's coal price disturbances: Observations, explanations, and implications for global energy I G H T S c Since China decontrolled its coal prices, the price of coal has risen steadily in China, accompanied by unusual volatility. c Relatively high and volatile coal prices have triggered widespread power

Jackson, Robert B.

72

Gasoline Prices: What is Happening?  

Gasoline and Diesel Fuel Update (EIA)

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

73

EIA - Appendix D - High Price Case Projections Tables  

Gasoline and Diesel Fuel Update (EIA)

High Price Case Projections Tables (2005-2035) High Price Case Projections Tables (2005-2035) International Energy Outlook 2010 High Oil Price Case Projections Tables (2005-2035) Formats Data Table Titles (1 to 12 complete) High Oil Price Case Projections Tables (1990-2030). Need help, contact the National Energy Information Center at 202-586-8800. Appendix D. High Oil Price Case Projections Tables (1990-2030). Need help, contact the National Energy Information Center at 202-586-8800. Table D1 World Total Primary Energy Consumption by Region Table D1. World Total Primary Energy Consumption by Region. Need help, contact the National Energy Information Center at 202-586-8800. Table D2 World Total Energy Consumption by Region and Fuel Table D2. World total Energy Consumption by Region and Fuel. Need help, contact the National Energy Information Center at 202-586-8800.

74

Energy Information Administration (EIA) - High World Oil Price Case  

Gasoline and Diesel Fuel Update (EIA)

High World Oil Price Case Projections Tables (1990-2030) High World Oil Price Case Projections Tables (1990-2030) International Energy Outlook 2007 High World Oil Price Case Projections Tables (1990-2030) Formats Data Table Titles (1 to 12 complete) High World Oil Price Case Projections Tables. Need help, contact the National Energy Information Center at 202-586-8800. High World Oil Price Case Tables. Need help, contact the National Energy Information Center at 202-586-8800. Table D1 World Total Primary Energy Consumption by Region Table D1. World Total Primary Energy Consumption by Region. Need help, contact the National Energy Information Center at 202-586-8800. Table D2 World Total Energy Consumption by Region and Fuel Table D2. World total Energy Consumption by Region and Fuel. Need help, contact the National Energy Information Center at 202-586-8800.

75

Quantifying the value that wind power provides as a hedge against volatile natural gas prices  

E-Print Network (OSTI)

energy resources such as wind power carry no natural gas fuel priceenergy have long argued that wind power and other renewable technologies can mitigate fuel priceenergy resources such as wind power, which by their nature are immune to natural gas fuel price

Bolinger, Mark; Wiser, Ryan; Golove, William

2002-01-01T23:59:59.000Z

76

Annual Energy Outlook 2009 - High Price Case Tables  

Gasoline and Diesel Fuel Update (EIA)

6-2030) 6-2030) Annual Energy Outlook 2009 with Projections to 2030 XLS GIF Spreadsheets are provided in Excel High Price Case Tables (2006-2030) Table Title Formats Summary High Price Case Tables PDF GIF High Price Case Tables XLS GIF Table 1. Total Energy Supply and Disposition Summary XLS GIF Table 2. Energy Consumption by Sector and Source XLS GIF Table 3. Energy Prices by Sector and Source XLS GIF Table 4. Residential Sector Key Indicators and Consumption XLS GIF Table 5. Commercial Sector Indicators and Consumption XLS GIF Table 6. Industrial Sector Key Indicators and Consumption XLS GIF Table 7. Transportation Sector Key Indicators and Delivered Energy Consumption XLS GIF Table 8. Electricity Supply, Disposition, Prices, and Emissions XLS GIF Table 9. Electricity Generating Capacity

77

Higher Prices from Entry: Pricing of Brand-Name Drugs  

E-Print Network (OSTI)

with Distance Figure 6 Cumulative Unexpected Price Effectsand Paul J. Seguin, "Price Volatility, Trading Volume andGoods in Pharmaceutical Price In- dexes," American Economic

Perloff, Jeffrey M.; Suslow, Valerie Y.; Seguin, Paul J.

1995-01-01T23:59:59.000Z

78

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) -...

79

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) -...

80

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 "high price volatility" 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

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

82

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

E-Print Network (OSTI)

EIAs historic natural gas prices delivered to electricityremained until the natural gas price spike of 2000 sent itto hedge away natural gas price risk over a 10-year period

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

2002-01-01T23:59:59.000Z

83

Energy Policy Forum to Discuss 'Possible Solutions to High Gas Prices'  

U.S. Energy Information Administration (EIA)

Energy Policy Forum to Discuss Possible Solutions to High Gas Prices Moderated by Congressman Jim Gerlach History and Outlook for Gasoline Prices

84

Cost forecasts: Euyropean International High-Energy Physics facilities - Million Swiss Francs at 1966 prices  

E-Print Network (OSTI)

Cost forecasts: Euyropean International High-Energy Physics facilities - Million Swiss Francs at 1966 prices

ECFA meeting

1966-01-01T23:59:59.000Z

85

Do High Oil Prices Presage Inflation? The Evidence from G-5 Countries  

E-Print Network (OSTI)

Do High Oil Prices Presage Inflation? The Evidence from G-5to be more sensitive to oil prices than in the U.S. , iswith a dollar denominated oil price. References Blanchard

LeBlanc, Michael; Chinn, Menzie David

2004-01-01T23:59:59.000Z

86

Do High Oil Prices Presage Inflation? The Evidence from G-5 Countries  

E-Print Network (OSTI)

Do High Oil Prices Presage Inflation? The Evidence from G-5to be more sensitive to oil prices than in the U.S. , isa dollar denominated oil price. References Blanchard O.J.

LeBlanc, Michael; Chinn, Menzie David

2004-01-01T23:59:59.000Z

87

Electricity Forward Prices: A High-Frequency Empirical Analysis  

E-Print Network (OSTI)

P. 2002. Modelling Electricity Prices: Interna- tionalSchwartz, E. 2002. Electricity Prices and Power Derivatives:spot and forward electricity prices in more detail than in

Longstaff, Francis; Wang, Ashley

2002-01-01T23:59:59.000Z

88

ELECTRICITY FORWARD PRICES: A High-Frequency Empirical Analysis  

E-Print Network (OSTI)

P. 2002. Modelling Electricity Prices: Interna- tionalSchwartz, E. 2002. Electricity Prices and Power Derivatives:spot and forward electricity prices in more detail than in

Longstaff, Francis A; Wang, Ashley

2002-01-01T23:59:59.000Z

89

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

E-Print Network (OSTI)

hedges include fixed- price natural gas supply contractsfixed-price gas supply contracts and natural gas storage.natural gas storage facilities. Since, in contrast to many financial hedges, physical supply

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

2002-01-01T23:59:59.000Z

90

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

91

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

E-Print Network (OSTI)

Energy Efficiency and Renewable Energy Provide as a Hedgeenergy efficiency and renewable energy have long argued thatenergy efficiency and renewable energy can provide price

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

2002-01-01T23:59:59.000Z

92

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

E-Print Network (OSTI)

and renewable energy by equating it with the cost ofand renewable energy are often compared to the cost ofrenewable energy can provide price stability at lower cost

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

2002-01-01T23:59:59.000Z

93

ELECTRICITY FORWARD PRICES: A High-Frequency Empirical Analysis  

E-Print Network (OSTI)

and Optimal Hedging in Electricity Forward Markets. JournalP. 2002. Modelling Electricity Prices: Interna- tionalPricing and Risk Managing Electricity Derivatives. The U.S.

Longstaff, Francis A; Wang, Ashley

2002-01-01T23:59:59.000Z

94

Electricity Forward Prices: A High-Frequency Empirical Analysis  

E-Print Network (OSTI)

and Optimal Hedging in Electricity Forward Markets. JournalP. 2002. Modelling Electricity Prices: Interna- tionalPricing and Risk Managing Electricity Derivatives. The U.S.

Longstaff, Francis; Wang, Ashley

2002-01-01T23:59:59.000Z

95

Microsoft Word - Price Uncertainty Supplement.doc  

Gasoline and Diesel Fuel Update (EIA)

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

96

Maximum entropy distribution of stock price fluctuations  

E-Print Network (OSTI)

The principle of absence of arbitrage opportunities allows obtaining the distribution of stock price fluctuations by maximizing its information entropy. This leads to a physical description of the underlying dynamics as a random walk characterized by a stochastic diffusion coefficient and constrained to a given value of the expected volatility, taking in this way into account the information provided by the existence of an option market. This model is validated by a comprehensive comparison with observed distributions of both price return and diffusion coefficient. Expected volatility is the only parameter in the model and can be obtained by analysing option prices. We give an analytic formulation of the probability density function for price returns which can be used to extract expected volatility from stock option data. This distribution is of high practical interest since it should be preferred to a Gaussian when dealing with the problem of pricing derivative financial contracts.

Bartiromo, Rosario

2011-01-01T23:59:59.000Z

97

Volatility in natural gas and oil markets  

E-Print Network (OSTI)

Using daily futures price data, I examine the behavior of natural gas and crude oil price volatility since 1990. I test whether there has been a significant trend in volatility, whether there was a short-term increase in ...

Pindyck, Robert S.

2003-01-01T23:59:59.000Z

98

Accounting for fuel price risk when comparing renewable to gas-fired generation: the role of forward natural gas prices  

E-Print Network (OSTI)

natural gas is generally perceived to be much more volatile than the price of coal. Price regulation

Bolinger, Mark; Wiser, Ryan; Golove, William

2004-01-01T23:59:59.000Z

99

The Value of Renewable Energy as a Hedge Against Fuel Price Risk: Analytic Contributions from Economic and Finance Theory  

E-Print Network (OSTI)

2003. Natural Gas and Energy Price Volatility. Arlington,Reducing the Impacts of Energy Price Volatility Throughof Forward Natural Gas Prices Energy Policy. Vol 34, Issue

Bolinger, Mark A

2009-01-01T23:59:59.000Z

100

Apples with apples: accounting for fuel price risk in comparisons of gas-fired and renewable generation  

E-Print Network (OSTI)

in the market, allowing natural gas price volatility to flowClearly, the variability of gas prices poses a major risk toincreasingly volatile natural gas prices, renewable energy

Bolinger, Mark; Wiser, Ryan

2003-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "high price volatility" 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

Apples with apples: accounting for fuel price risk in comparisons of gas-fired and renewable generation  

E-Print Network (OSTI)

considering that natural gas prices (and gas pricein the market, allowing natural gas price volatility to flowincreasingly volatile natural gas prices, renewable energy

Bolinger, Mark; Wiser, Ryan

2003-01-01T23:59:59.000Z

102

Implied volatility in oil markets  

Science Conference Proceedings (OSTI)

Modelling the implied volatility surface as a function of an option's strike price and maturity is a subject of extensive research in financial markets. The implied volatility in commodity markets is much less studied, due to a limited liquidity and ...

Svetlana Borovkova; Ferry J. Permana

2009-04-01T23:59:59.000Z

103

High heating oil prices discourage heating oil supply contracts ...  

U.S. Energy Information Administration (EIA)

EIA's Short-Term Energy and Winter Fuels Outlook expects the U.S. home heating oil price will average $3.71 per gallon for the season, ...

104

Open Automated Demand Response Dynamic Pricing Technologies and Demonstration  

E-Print Network (OSTI)

peak prices) to reduce electricity bill volatility. Smallwith higher or lower electricity bills than desired, since

Ghatikar, Girish

2010-01-01T23:59:59.000Z

105

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

106

Economic Effect on Agricultural Production of Alternative Energy Input Prices: Texas High Plains  

E-Print Network (OSTI)

The Arab oil embargo of 1973 awakened the world to the reality of energy shortages and higher fuel prices. Agriculture in the United States is highly mechanized and thus energy intensive. This study seeks to develop an evaluative capability to readily determine the short-run effect of rising energy prices on agricultural production. The results are measured in terms of demand schedules for each input investigated, net revenue adjustments, cropping pattern shifts, and changes in agricultural output. The High Plains of Texas was selected as a study area due to the heterogeneous nature of agricultural production in the region and highly energy intensive methods of production employed. The region is associated with a diversity in crops and production practices as well as a high degree of mechanization and irrigation, which means agriculture is very dependent upon energy inputs and, in turn, is significantly affected by energy price changes. The study area was defined by the Texas Agricultural Extension subregions of High Plains II, High Plains III, and High Plains IV. The crops chosen for study were cotton, grain sorghum, wheat, corn, and soybeans. The energy and energy-related inputs under investigation were diesel, herbicide, natural gas, nitrogen fertilizer, and water. Mathematical linear programming was used as the analytical technique with parametric programming techniques incorporated into the LP model to evaluate effect of varying input price parameters over a specified range. Thus, demand schedules were estimated. The objective function was constructed using variable costs only; no fixed costs are considered. Therefore, the objective function maximizes net revenue above variable costs and thus limits the study to the short run. The data bases for the model were crop enterprise budgets developed by the Texas Agricultural Extension Service. These budgets were modified to adapt them to the study. Particularly important was the substitution of owner-operated harvesting equipment for custom-harvesting costs. This procedure made possible the delineation of fuel use by crop and production alternative which was necessary information in the accounting of costs. The completed LP model was applied to 16 alternative situations made up of various input and product price combinations which are considered as feasible in the short run future. The results reveal that diesel consumption would change very little in the short run unless commodity prices simultaneously decline below the lowest prices since 1971 or unless diesel price approaches $2.00 per gallon. Under average commodity price conditions, natural gas consumption would not decline appreciably until the price rose above $4.00 per 1000 cubic feet (mcf). Even when using the least product prices since 1971, natural gas would be consumed in substantial amounts as long as the price was below $1.28 per Mcf. The findings regarding nitrogen indicate that present nitrogen prices are within a critical range such that consumption would be immediately affected by nitrogen price increases. Water price was considered as the price a farmer can afford to pay for water above pumping and distribution costs. Application of water was defined as the price that would be paid for imported water. Under average commodity price conditions, the study results show that as water price rises from zero dollars to $22 per acre foot there would be less than a 4 percent reduction in consumption. However, as the price continues to rise, consumption would decline dramatically reaching zero at a water price of $71.75 per acre foot. This study indicates that rising input prices would cause acreage shifts from irrigated to dryland; however, with average commodity prices, these shifts do not occur until diesel reaches $2.69 per gallon, or natural gas sells for $1.92 per Mcf, or nitrogen price is $.41 per pound, or water price reaches $14.69 per acre foot. In general, the first crops that would shift out of production as energy input prices rise woul

Adams, B. M.; Lacewell, R. D.; Condra, G. D.

1976-06-01T23:59:59.000Z

107

Annual Energy Outlook 2006 - High Price Case Tables  

Annual Energy Outlook 2012 (EIA)

Price Case Tables (2003-2030) Annual Energy Outlook 2006 with Projections to 2030 To view or print in PDF format, Adobe Acrobat Reader 6.0 MS Excel Viewer Spreadsheets are provided...

108

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

109

EIA - Appendix D - High Price Case Projections Tables (1990-2030)  

Gasoline and Diesel Fuel Update (EIA)

High Price Case Projections Tables (1990-2030) High Price Case Projections Tables (1990-2030) International Energy Outlook 2009 High Oil Price Case Projections Tables (1990-2030) Formats Data Table Titles (1 to 12 complete) High Oil Price Case Projections Tables (1990-2030). Need help, contact the National Energy Information Center at 202-586-8800. High Oil Price Case Projections Tables (1990-2030). Need help, contact the National Energy Information Center at 202-586-8800. Table D1 World Total Primary Energy Consumption by Region Table D1. World Total Primary Energy Consumption by Region. Need help, contact the National Energy Information Center at 202-586-8800. Table D2 World Total Energy Consumption by Region and Fuel Table D2. World total Energy Consumption by Region and Fuel. Need help, contact the National Energy Information Center at 202-586-8800.

110

EIA - Appendix D - High Price Case Projections Tables (1990-2030)  

Gasoline and Diesel Fuel Update (EIA)

High Price Case Projections Tables (1990-2030) High Price Case Projections Tables (1990-2030) International Energy Outlook 2008 High Price Case Projections Tables (1990-2030) Formats Data Table Titles (1 to 12 complete) High Price Case Projections Tables. Need help, contact the National Energy Information Center at 202-586-8800. High World Oil Price Case Tables. Need help, contact the National Energy Information Center at 202-586-8800. Table D1 World Total Primary Energy Consumption by Region Table D1. World Total Primary Energy Consumption by Region. Need help, contact the National Energy Information Center at 202-586-8800. Table D2 World Total Energy Consumption by Region and Fuel Table D2. World total Energy Consumption by Region and Fuel. Need help, contact the National Energy Information Center at 202-586-8800.

111

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

112

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

113

Easing the natural gas crisis: Reducing natural gas prices through increased deployment of renewable energy and energy efficiency  

E-Print Network (OSTI)

Fuel Price Risk: Using Forward Natural Gas Prices Insteadof Gas Price Forecasts to Compare Renewable to Natural Gas-2003. Natural Gas and Energy Price Volatility. Arlington,

Wiser, Ryan; Bolinger, Mark; St. Clair, Matt

2004-01-01T23:59:59.000Z

114

Reset Price Inflation and the Impact of Monetary Policy Shocks  

E-Print Network (OSTI)

A standard state-dependent pricing model generates little monetary non-neutrality. Two ways of generating more meaningful real effects are time-dependent pricing and strategic complementarities. These mechanisms have telltale implications for the persistence and volatility of reset price inflation. Reset price inflation is the rate of change of all desired prices (including goods that have not changed price in the current period). Using the micro data underpinning the CPI, we construct an empirical measure of reset price inflation. We find that time-dependent models imply unrealistically high persistence and stability of reset price inflation. This discrepancy is only exacerbated by adding strategic complementarities, even under state-dependent pricing. A state-dependent model with no strategic complementarities aligns most closely with the data.

Mark Bils; Peter J. Klenow; Benjamin A. Malin

2008-01-01T23:59:59.000Z

115

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

116

June 2003VOLATILITY IN NATURAL GAS AND OIL MARKETS * by  

E-Print Network (OSTI)

Abstract: Using daily futures price data, I examine the behavior of natural gas and crude oil price volatility since 1990. I test whether there has been a significant trend in volatility, whether there was a short-term increase in volatility during the time of the Enron collapse, and whether natural gas and crude oil price volatilities are interrelated. I also measure the persistence of shocks to volatility and discuss its implications for gas- and oil-related contingent claims.

Robert S. Pindyck; Robert S. Pindyck

2003-01-01T23:59:59.000Z

117

GG&A Hoofed Stock Price Year low high Comments 1971 97 ...  

Science Conference Proceedings (OSTI)

Page 1. GG&A Hoofed Stock Price Year low high Comments 1971 97245 Bad year. 72 245245 Light trading due to a heavy winter. ...

2013-02-19T23:59:59.000Z

118

Short-Term World Oil Price Forecast  

Gasoline and Diesel Fuel Update (EIA)

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

119

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...

120

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

Note: This page contains sample records for the topic "high price volatility" 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

The New Era of Corn, Soybean, and Wheat Prices  

E-Print Network (OSTI)

Prices have changed so much for what we sell and buy that it is almost impossible to feel confident in the decisions you make.-- Agriculture Online, July 5, 2008 Prices of corn, soybeans, and wheat started moving higher in the fall of 2006 and have remained generally high and well above average prices in the previous 30 years. These higher prices, and the volatility associated with the higher prices, have resulted in the kind of uncertainty reflected in the quote above. Are higher prices here to stay? If so, what is the expected level and variability of prices during the new era? From a producers standpoint, the question really is, What is a good price for corn, soybeans and wheat? These questions

Darrel Good; Scott Irwin

2008-01-01T23:59:59.000Z

122

Last Winter's Price Spike Limited to Northeast  

Gasoline and Diesel Fuel Update (EIA)

7 7 Notes: This chart shows the day-to-day volatility in spot crude and heating oil prices, and clearly shows the regional nature of the price spike that occurred last winter. Due to a combination of extreme cold weather, low inventories, and refinery and transportation problems, New York Harbor spot prices shot up as high as $1.77 per gallon in a brief period in late January and early February. In June of this year, distillate spreads had dropped to 2.5 cents per gallon as a result of crude oil prices increasing faster than product prices. But by August spreads had strengthened to about 15 cents, and were as high as 21 cents on average in November 2000, which is almost 15 cents above average -- reflecting continued low stocks and the lack of even a normal summer/autumn build in inventories.

123

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

124

Analysis of Realized Volatility in Two Trading Sessions of the Japanese Stock Market  

E-Print Network (OSTI)

We analyze realized volatilities constructed using high-frequency stock data on the Tokyo Stock Exchange. In order to avoid non-trading hours issue in volatility calculations we define two realized volatilities calculated separately in the two trading sessions of the Tokyo Stock Exchange, i.e. morning and afternoon sessions. After calculating the realized volatilities at various sampling frequencies we evaluate the bias from the microstructure noise as a function of sampling frequency. Taking into account of the bias to realized volatility we examine returns standardized by realized volatilities and confirm that price returns on the Tokyo Stock Exchange are described approximately by Gaussian time series with time-varying volatility, i.e. consistent with a mixture of distributions hypothesis.

Takaishi, Tetsuya; Zheng, Zeyu

2013-01-01T23:59:59.000Z

125

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

126

Sentiment proxies: computing market volatility  

Science Conference Proceedings (OSTI)

Macroeconomic announcements can have an influential effect on the price, and related volatility, of an object traded in financial markets. Modeling the impact of a relevant announcement on a specific commodity is of interest in building financial models ...

Stephen Kelly; Khurshid Ahmad

2012-08-01T23:59:59.000Z

127

Lower power prices and high repair costs drive nuclear retirements ...  

U.S. Energy Information Administration (EIA)

However, concerns over the length of the review process and the high costs associated with steam generator repairs led SCE to retire both reactors.

128

High-order accurate implicit methods for the pricing of barrier options  

E-Print Network (OSTI)

This paper deals with a high-order accurate implicit finite-difference approach to the pricing of barrier options. In this way various types of barrier options are priced, including barrier options paying rebates, and options on dividend-paying-stocks. Moreover, the barriers may be monitored either continuously or discretely. In addition to the high-order accuracy of the scheme, and the stretching effect of the coordinate transformation, the main feature of this approach lies on a probability-based optimal determination of boundary conditions. This leads to much faster and accurate results when compared with similar pricing approaches. The strength of the present scheme is particularly demonstrated in the valuation of discretely monitored barrier options where it yields values closest to those obtained from the only semi-analytical valuation method available.

Ndogmo, J C

2007-01-01T23:59:59.000Z

129

Identifying Sources of Volatile Organic Compounds and Aldehydes in a High  

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

Identifying Sources of Volatile Organic Compounds and Aldehydes in a High Identifying Sources of Volatile Organic Compounds and Aldehydes in a High Performance Building Title Identifying Sources of Volatile Organic Compounds and Aldehydes in a High Performance Building Publication Type Report LBNL Report Number LBNL-3979e Year of Publication 2010 Authors Ortiz, Anna C., Marion L. Russell, Wen-Yee Lee, Michael G. Apte, and Randy L. Maddalena Pagination 29 Date Published 09/2010 Publisher Lawrence Berkeley National Laboratory City Berkeley Abstract The developers of the Paharpur Business Center (PBC) and Software Technology Incubator Park in New Delhi, India offer an environmentally sustainable building with a strong emphasis on energy conservation, waste minimization and superior indoor air quality (IAQ). To achieve the IAQ goal, the building utilizes a series of air cleaning technologies for treating the air entering the building. These technologies include an initial water wash followed by ultraviolet light treatment and biolfiltration using a greenhouse located on the roof and numerous plants distributed throughout the building. Even with the extensive treatment of makeup air and room air in the PBC, a recent study found that the concentrations of common volatile organic compounds and aldehydes appear to rise incrementally as the air passes through the building from the supply to the exhaust. This finding highlights the need to consider the minimization of chemical sources in buildings in combination with the use of advanced air cleaning technologies when seeking to achieve superior IAQ. The goal of this project was to identify potential source materials for indoor chemicals in the PBC. Samples of building materials, including wood paneling (polished and unpolished), drywall, and plastic from a hydroponic drum that was part of the air cleaning system, were collected from the building for testing. All materials were collected from the PBC building and shipped to the Lawrence Berkeley National Laboratory (LBNL) for testing. The materials were pre-conditioned for two different time periods before measuring material and chemical specific emission factors for a range of VOCs and Aldehydes. Of the six materials tested, we found that the highest emitter of formaldehyde was new plywood paneling. Although polish and paint contribute to some VOC emissions, the main influence of the polish was in altering the capacity of the surface to accumulate formaldehyde. Neither the new nor aged polish contributed significantly to formaldehyde emissions. The VOC emission stream (excluding formaldehyde) was composed of up to 18 different chemicals and the total VOC emissions ranged in magnitude from 7 μg/m2/h (old wood with old polish) to >500 μg/m2/h (painted drywall). The formaldehyde emissions from drywall and old wood with either new or old polish were ~ 15 μg/m2/h while the new wood material emitted > 100 μg/m2/h. However, when the projected surface area of each material in the building was considered, the new wood, old wood and painted drywall material all contributed substantially to the indoor formaldehyde loading while the coatings contributed primarily to the VOCs

130

Oil consumption, pollutant emission, oil proce volatility and economic activities in selected Asian Developing Economies.  

E-Print Network (OSTI)

??It is now well established in the literature that oil consumption, oil price shocks, and oil price volatility may impact the economic activities negatively. Studies (more)

Rafiq, Shuddhasattwa

2009-01-01T23:59:59.000Z

131

A Note on Pricing Options on Defaultable Stocks  

E-Print Network (OSTI)

In this note, we develop stock option price approximations for a model which takes both the risk o default and the stochastic volatility into account. We also let the intensity of defaults be influenced by the volatility. We show that it might be possible to infer the risk neutral default intensity from the stock option prices. Our option price approximation has a rich implied volatility surface structure and fits the data implied volatility well. Our calibration exercise shows that an effective hazard rate from bonds issued by a company can be used to explain the implied volatility skew of the implied volatility of the option prices issued by the same company.

Bayraktar, Erhan

2007-01-01T23:59:59.000Z

132

Residential Heating Oil Prices  

U.S. Energy Information Administration (EIA)

We normally collect and publish this data twice a month, but given the low stocks and high prices, we started tracking the prices weekly.

133

Microsoft Word - Price Uncertainty Supplement.doc  

Annual Energy Outlook 2012 (EIA)

0 1 August 2010 Short-Term Energy Outlook Energy Price Volatility and Forecast Uncertainty 1 August 10, 2010 Release WTI crude oil spot prices averaged 76.32 per barrel in July...

134

Open Automated Demand Response Dynamic Pricing Technologies and Demonstration  

E-Print Network (OSTI)

charges. Wholesale energy market prices are volatile, andCAISOs Wholesale Energy Market Prices PG&Es PDP RetailWe used the CAISO wholesale energy market prices for the RTP

Ghatikar, Girish

2010-01-01T23:59:59.000Z

135

Accounting for fuel price risk when comparing renewable to gas-fired generation: the role of forward natural gas prices  

E-Print Network (OSTI)

more volatile than the price of coal. Price regulation incoal-fired generation could reduce wholesale electricity pricecoal is found to be more negative than the beta of gas, given that the price

Bolinger, Mark; Wiser, Ryan; Golove, William

2004-01-01T23:59:59.000Z

136

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

137

Do High Oil Prices Presage Inflation? The Evidence from G-5 Countries  

E-Print Network (OSTI)

with, in September 2000, crude oil prices in the Unitedmonth forward price of crude oil peaked at $37.80. EnergyThe monthly U.S. imported crude oil price in November was a

LeBlanc, Michael; Chinn, Menzie David

2004-01-01T23:59:59.000Z

138

Using high performance computing and Monte Carlo simulation for pricing american options  

E-Print Network (OSTI)

High performance computing (HPC) is a very attractive and relatively new area of research, which gives promising results in many applications. In this paper HPC is used for pricing of American options. Although the American options are very significant in computational finance; their valuation is very challenging, especially when the Monte Carlo simulation techniques are used. For getting the most accurate price for these types of options we use Quasi Monte Carlo simulation, which gives the best convergence. Furthermore, this algorithm is implemented on both GPU and CPU. Additionally, the CUDA architecture is used for harnessing the power and the capability of the GPU for executing the algorithm in parallel which is later compared with the serial implementation on the CPU. In conclusion this paper gives the reasons and the advantages of applying HPC in computational finance.

Cvetanoska, Verche

2012-01-01T23:59:59.000Z

139

Mick Jagger Explains High Crude Oil Prices How can Mick Jagger of The Rolling Stones help explain the current high crude oil  

E-Print Network (OSTI)

Mick Jagger Explains High Crude Oil Prices How can Mick Jagger of The Rolling Stones help explain the current high crude oil price? It does not relate to Mick' short stint at the London School of Economics, the oil industry operates on the same principle, at least in the short run. The industry relies on proven

Ahmad, Sajjad

140

The impact of ethanol driven corn price on the cow-calf industry.  

E-Print Network (OSTI)

??After remaining stable for several decades, corn price has recently had unprecedented price increases and volatility. United States Department of Agriculture (USDA) predicts an average (more)

Warner, Marcella M.

2008-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "high price volatility" 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

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

142

Apples with apples: accounting for fuel price risk in comparisons of gas-fired and renewable generation  

E-Print Network (OSTI)

common practice of using gas price forecasts in long-rangeit is likely that gas prices in the US will continue to bethat natural gas prices (and gas price volatility) have a

Bolinger, Mark; Wiser, Ryan

2003-01-01T23:59:59.000Z

143

Nominal Exchange Rate Regimes and Relative Price Dispersion: On the Importance of Nominal Exchange Rate Volatility for the Width of the Border  

E-Print Network (OSTI)

Based on a broad set of regional aggregated and disaggregated consumer price index (CPI) data from major industrialized countries in Asia, North America and Europe we are examining the role that national borders play for goods market integration. In line with the existing literature we find that intra-national markets are better integrated than international market. Additionally, our results show that there is a large ocean effect, i.e., inter-continental markets are significantly more segmented than intra-continental markets. To examine the impact of the establishment of the European Monetary Union (EMU) on integration, we are splitting our sample in a pre-EMU and EMU sample. We find that border effects across EMU countries reduce by about 80 % to 90 % after 1999 whereas border estimates across non-EMU countries have basically not changed. Since globally effective factors have affected all countries in our sample similarly and major integration efforts across EMU countries were made before 1999, we suggest that most of the reduction in EMU border estimates has been nominal. Panel unit root evidence shows that the observed large differences in integration across intra- and inter-continental markets remain valid in the longrun. This finding implies that real factors are responsible for the documented segmentations across our sample countries.

Guenter W. Beck

2003-01-01T23:59:59.000Z

144

Reference Prices and Costs in the Cross-Section: Evidence from Chile  

E-Print Network (OSTI)

This paper studies nominal rigidities using a novel scanner data set consisting of weekly prices, costs and quantities sold for a cross-section of retailers in Chile. Nominal rigidities are found to take the form of reference price inertia. While posted prices change every 5 weeks (on average), reference prices change every two quarters (29 weeks), on average. Frequencies of reference price adjustment are found to be systematically related to cost volatility and expenditure shares. In addition, the probability of a reference price adjustment is increasing in the markup gap. While frequencies of reference price adjustment vary systematically across chains, markups vary within narrow bounds and pass-through coe cients conditional on a reference price change are high (on the order of 0.86-0.93) suggesting that movements in reference prices are closely related to movements in prices at the previous stage of the distribution chain. Synchronization of price changes across stores appears to be particularly strong across stores belonging to a given chain. Evidence on within-stores and categories synchronization is consistent with a price adjustment technology featuring economies of scope.

Andres Elberg

2012-01-01T23:59:59.000Z

145

Option Returns and the Cross-Sectional Predictability of Implied Volatility  

E-Print Network (OSTI)

- tive forecast of the change in implied volatility and short in straddles with a large negative forecast://www.krannert.purdue.edu/faculty/saretto/. #12;1 Introduction Volatility is central to the pricing of options as there is a one-to-one correspondence between the price of an option and the volatility of the underlying asset. In the context of Black

Kearns, Michael

146

Natural Gas Price Uncertainty: Establishing Price Floors  

Science Conference Proceedings (OSTI)

This report presents the results of comprehensive calculations of ceiling and floor prices for natural gas. Ceiling prices are set by the price levels at which it is more economic to switch from natural gas to residual fuel oil in steam units and to distillate in combined cycle units. Switching to distillate is very rare, whereas switching to fuel oil is quite common, varying between winter and summer and increasing when natural gas prices are high or oil prices low. Monthly fuel use was examined for 89 ...

2007-01-11T23:59:59.000Z

147

Spot crude prices near 12-month high; natural gas and power ...  

U.S. Energy Information Administration (EIA)

Key wholesale energy price benchmarks for crude oil, natural gas, and electric power reflect contrasting trends over the past year. International events have ...

148

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

149

Impact of Alternative Energy Prices, Tenure Arrangements and Irrigation Technologies on a Typical Texas High Plains Farm  

E-Print Network (OSTI)

Irrigation is a major contributing factor in crop production on the Texas High Plains. It is responsible for greatly increasing crop production and farm income for the region. Two factors, a declining groundwater supply and increasing production costs, are of primary concern because they impact on farm operations and producer economic viability. A recursive linear programming model for a typical Texas High Plains irrigated farm was developed to evaluate expected impact of price changes, tenure and new technology. The model includes a Fortran sub-routine that adjusts irrigation factors each year based on the linear programming solution of the previous year. After calculating new pumping energy requirements, well yield, and pumping lift, the Fortran component updates the linear programming model. This procedure continues automatically to the end of a specified planning period or to economic exhaustion of the groundwater, whichever occurs first. Static applications of the model, in a deep water situation, showed that a natural gas price increase from $1.50 to $2.20 per thousand cubic feet (mcf) would result in reductions in irrigation levels. Irrigation was terminated when the price of natural gas reached about $7.00 per mcf. In a shallow water situation, much higher natural gas prices were reached ($3.60 per mcf) before short-run adjustments in farm organization began to occur. Under furrow irrigation, irrigation was terminated when the natural gas price reached $7.00 per mcf. Increased natural gas prices impact heavily on returns above variable costs (up to 15 percent reductions) for a 60 percent natural gas price increase. The effects of rising natural gas prices over a longer period of time were more significant. Annual returns (above variable and fixed costs) were reduced by as much as 30 percent, and the present value of returns to water was reduced by as much as 80 percent as the natural gas price was increased annually by $0.25 per mcf (from $1.50 per mcf). The economic life of deep groundwater was shortened by as much as 18 years. Renter-operators are even more vulnerable to rising natural gas prices than are owner-operators. With rising natural gas prices, profitability over time for the renter is low. As natural gas prices continue to increase, the greater will be the incentives for renter-operators to seek more favorable rental terms such as a sharing of irrigation costs. With the problem of a declining groundwater supply and rising natural gas prices, an economic incentive exists for producers to find new technologies that will enable them to make more efficient use of remaining groundwater and of natural gas. Substantial economic gains appear feasible through improved pump efficiency. Increasing pump efficiency from 50 to 75 percent will not increase the economic life of the water supply, but can improve farm profits over time; e.g., the present value of groundwater was increased 33 percent for a typical farm with an aquifer containing 250 feet of saturated thickness and 15 percent for 75 feet of saturated thickness. Improved irrigation distribution systems can help conserve water and reduce irrigation costs. Results indicate that irrigation can be extended by 11 or more years with 50 percent improved distribution efficiency. In addition, the increase in present value of groundwater on the 1.69 million irrigated acres of the Texas High Plains was estimated to be $995 million with 50 percent improved efficiency. Limitations in borrowing can substantially reduce annual net returns. This analysis suggests that the farmer can economically justify very high costs of borrowing rather than a limitation of funds available for operating expenses.

Petty, J. A.; Lacewell, R. D.; Hardin, D. C.; Whitson, R. E.

1980-05-01T23:59:59.000Z

150

Natural Gas Citygate Price  

Gasoline and Diesel Fuel Update (EIA)

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

151

Natural Gas Spot Prices:  

Gasoline and Diesel Fuel Update (EIA)

4 of 26 4 of 26 Notes: Spot wellhead prices last summer averaged well over $4.00 per thousand cubic feet during a normally low-price season. During the fall, these prices stayed above $5.00 per thousand cubic feet, more than double the year-ago average price. In January, the spot wellhead price averaged a record $8.98 per thousand cubic feet. Spot prices at the wellhead have never been this high for such a prolonged period. The chief reason for these sustained high gas prices was, and still is, uneasiness about the supply situation. Concern about the adequacy of winter supplies loomed throughout most of the summer and fall as storage levels remained significantly depressed. Last December, the most severe assumptions about low storage levels became real, when the spot price

152

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

153

Alternative Fuel Price Report - March 28, 2005  

Alternative Fuels and Advanced Vehicles Data Center (EERE)

March 28, 2005 March 28, 2005 T his is the fourteenth issue of the Clean Cities Alternative Fuel Price Report, a quarterly newsletter keeping you up to date on the prices of alternative fuels in the U.S. and their relation to gasoline and diesel prices. This issue discusses prices that were gathered from Clean Cities coordinators and stakeholders between March 8 and March 22, 2005, with comparisons to the prices in the previous Price Report, which were collected in November, 2004. The changes in prices from one reporting period to the next can be attributed not only to price volatility, but also to an inconsistent set of respondents. Thus, differences from one report to the next should not be assumed to reflect trends. The prices contained within this report are meant to represent retail, at-the-pump sales prices for each fuel.

154

Gasoline Prices at Historical Lows  

Gasoline and Diesel Fuel Update (EIA)

0 0 Notes: Before looking at El Paso gasoline prices, let’s take a minute to look at the U.S. average price for context. Gasoline prices this year, adjusted for inflation, are the lowest ever. Back in March, before prices began to rise ahead of the traditional high-demand season, the U.S. average retail price fell to $1.00 per gallon. Prices rose an average of 7.5 cents, less than the typical seasonal runup, to peak in early June. Since then, prices have fallen back to $1.013. Given recent declines in crude oil and wholesale gasoline prices, we expect retail prices to continue to ease over at least the next few weeks. Since their sharp runup during the energy crises of the 1970’s, gasoline prices have actually been non-inflationary. Adjusting the historical prices by the Consumer Price Index, we can see that today’s

155

The Tight Coal Market: Volatility Spike or Trend?  

Science Conference Proceedings (OSTI)

The spot coal market experienced a major price spike beginning in late 2000 and early 2001. This run-up in coal prices caught most producers and generators by surprise. While spot prices have declined from their peak, they remain well above historical levels. It is not clear whether this run-up in prices was merely a short-term event reflecting an increase in coal price volatility or the start of a new trend in coal pricing generally. This report analyzes possible causes of the price spike, the likelihoo...

2001-11-30T23:59:59.000Z

156

Industrial Attitudes to Petroleum Prices: Policies and Energy Efficiency  

E-Print Network (OSTI)

Beginning in 2001, the US began to see sharp increases and volatility in what had been historically low natural gas prices. The traditional response to events such as this had been to switch fuels when possible and negotiate more attractive price contracts. When it became apparent that gas prices were no longer going to be in the vicinity of $2/Mbtu for the foreseeable future, industry began to seriously invest once again in energy efficiency. A 2003 study by ACEEE found that a modest 5% decrease in natural gas consumption could result in a 20% reduction in retail price. While much of the focus from industry and the policy community has been on natural gas prices, it has also become apparent that all fuel markets natural gas, coal, electricity and petroleum are experiencing upward pressure in price. Petroleum is of particular interest to industry since it is used both as a fuel and feedstock. Based on the results of our previous work on natural gas markets, we have hypothesized that energy efficiency can effect petroleum market in a similar way. Since petroleum markets are global (vs. the mostly domestic natural gas markets) this task is much more complex. As a precursor to this work we are proposing to begin to better understand how industry reacts to high petroleum prices under our current energy market situation. Does industry look for technology improvements? Better price contracts to shield from volatility? Fuel switching? Advocating for effective federal and state policies? The answers to these questions will help to form the basis of estimates for the potential for energy-efficiency and policy-based savings in petroleum consumption. This paper will include the results of a survey of industrial petroleum customers from a variety of industry types.

Shipley, A. M.; Langer, T.; Black, S.

2007-01-01T23:59:59.000Z

157

Identifying Sources of Volatile Organic Compounds and Aldehydes in a High Performance Building  

SciTech Connect

The developers of the Paharpur Business Center (PBC) and Software Technology Incubator Park in New Delhi, India offer an environmentally sustainable building with a strong emphasis on energy conservation, waste minimization and superior indoor air quality (IAQ). To achieve the IAQ goal, the building utilizes a series of air cleaning technologies for treating the air entering the building. These technologies include an initial water wash followed by ultraviolet light treatment and biolfiltration using a greenhouse located on the roof and numerous plants distributed throughout the building. Even with the extensive treatment of makeup air and room air in the PBC, a recent study found that the concentrations of common volatile organic compounds and aldehydes appear to rise incrementally as the air passes through the building from the supply to the exhaust. This finding highlights the need to consider the minimization of chemical sources in buildings in combination with the use of advanced air cleaning technologies when seeking to achieve superior IAQ. The goal of this project was to identify potential source materials for indoor chemicals in the PBC. Samples of building materials, including wood paneling (polished and unpolished), drywall, and plastic from a hydroponic drum that was part of the air cleaning system, were collected from the building for testing. All materials were collected from the PBC building and shipped to the Lawrence Berkeley National Laboratory (LBNL) for testing. The materials were pre-conditioned for two different time periods before measuring material and chemical specific emission factors for a range of VOCs and Aldehydes. Of the six materials tested, we found that the highest emitter of formaldehyde was new plywood paneling. Although polish and paint contribute to some VOC emissions, the main influence of the polish was in altering the capacity of the surface to accumulate formaldehyde. Neither the new nor aged polish contributed significantly to formaldehyde emissions. The VOC emission stream (excluding formaldehyde) was composed of up to 18 different chemicals and the total VOC emissions ranged in magnitude from 7 mu g/m2/h (old wood with old polish) to>500 mu g/m2/h (painted drywall). The formaldehyde emissions from drywall and old wood with either new or old polish were ~;;15 mu g/m2/h while the new wood material emitted>100 mu g/m2/h. However, when the projected surface area of each material in the building was considered, the new wood, old wood and painted drywall material all contributed substantially to the indoor formaldehyde loading while the coatings contributed primarily to the VOCs.

Ortiz, Anna C.; Russell, Marion; Lee, Wen-Yee; Apte, Michael; Maddalena, Randy

2010-09-20T23:59:59.000Z

158

Low Stocks Set Stage for Price Volatility  

Gasoline and Diesel Fuel Update (EIA)

left heating oil markets in a vulnerable position. Stocks began the winter of 199900 well above average. They deteriorated somewhat as low margins kept refiners from continuing...

159

Gasoline Prices  

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

and diesel price estimates from the Energy Information Administration Understanding Gas Prices Photo of gasoline receipt What determines the cost of gasoline? What's the...

160

Phillip Price  

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

Phillip Price Phil Price Sustainable Energy Systems Group Demand Response Research Center (DRRC) Lawrence Berkeley National Laboratory 1 Cyclotron Road MS 90R2002 Berkeley CA 94720...

Note: This page contains sample records for the topic "high price volatility" 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

FPGA acceleration using high-level languages of a Monte-Carlo method for pricing complex options  

Science Conference Proceedings (OSTI)

In this paper we present an FPGA implementation of a Monte-Carlo method for pricing Asian options using Impulse C and floating-point arithmetic. In an Altera Stratix-V FPGA, a 149x speedup factor was obtained against an OpenMP-based solution in a 4-core ... Keywords: Field programmable gate arrays, Financial data processing, Floating-point arithmetic, High level language synthesis, Parallel machines

Diego Sanchez-Roman, Victor Moreno, Sergio Lopez-Buedo, Gustavo Sutter, Ivan Gonzalez, Francisco J. Gomez-Arribas, Javier Aracil

2013-03-01T23:59:59.000Z

162

There's more to volatility than volume  

E-Print Network (OSTI)

It is widely believed that fluctuations in transaction volume, as reflected in the number of transactions and to a lesser extent their size, are the main cause of clustered volatility. Under this view bursts of rapid or slow price diffusion reflect bursts of frequent or less frequent trading, which cause both clustered volatility and heavy tails in price returns. We investigate this hypothesis using tick by tick data from the New York and London Stock Exchanges and show that only a small fraction of volatility fluctuations are explained in this manner. Clustered volatility is still very strong even if price changes are recorded on intervals in which the total transaction volume or number of transactions is held constant. In addition the distribution of price returns conditioned on volume or transaction frequency being held constant is similar to that in real time, making it clear that neither of these are the principal cause of heavy tails in price returns. We analyze recent results of Ane and Geman (2000) an...

Gillemot, L; Lillo, F; Gillemot, Laszlo; Lillo, Fabrizio

2005-01-01T23:59:59.000Z

163

Microsoft Word - Price Uncertainty Supplement.doc  

Gasoline and Diesel Fuel Update (EIA)

October 2010 October 2010 Short-Term Energy Outlook Energy Price Volatility and Forecast Uncertainty 1 October 13, 2010 Release Crude Oil Prices. WTI oil prices averaged $75 per barrel in September but rose above $80 at the end of the month and into early October. EIA has raised the average fourth- quarter 2010 forecasted WTI spot price to $79 per barrel compared with $77 per barrel in last monthʹs Outlook. WTI spot prices are projected to rise to $85 per barrel by the fourth quarter of next year. As has been the case for most of 2010, WTI futures traded with a notable lack of volatility during the third quarter of 2010 (Figure 1). However, prices did bounce in

164

Pricing and hedging a barrier option  

E-Print Network (OSTI)

Barrier options are options where the payoff depends on whether the underlying asset's price reaches a certain level during a certain period of time. This path-dependency makes these options difficult to manage in practice. In this work, general methods of pricing and hedging are proposed. General properties of the Black - Scholes model are studied. Three methods of pricing are discussed and compared. Hedging issues are analyzed. Finally an improvement of the Black - Scholes model for the stock's price is proposed to take into account the stochastic aspect of the stock price volatility.

Bogossian, Alan

2002-01-01T23:59:59.000Z

165

A note on wealth in a volatile economy  

E-Print Network (OSTI)

I show that if the capital accumulation dynamics is stochastic a new term, in addition to that given by accounting prices, has to be introduced in order to derive a correct estimate of the genuine wealth of an economy. In a simple model with multiplicative accumulation dynamics I show that: 1) the value function is always a decreasing function of volatility 2) the accounting prices are affected by volatility 3) the new term always gives a negative contribution to wealth changes. I discuss results for models with constant elasticity utility functions. When the elasticity of marginal utility is larger than one, accounting prices increase with volatility whereas when it is less than one accounting prices decrease with volatility. These conclusions are not altered when adopting optimal saving rates.

Marsili, M

2008-01-01T23:59:59.000Z

166

An overview of alternative fossil fuel price and carbon regulation scenarios  

E-Print Network (OSTI)

Laboratory. Natural Gas Price Scenarios Among activelys 2004 IRP includes three gas price scenarios. As shownwellhead price in the High gas price scenario is $1.43/Mcf

Wiser, Ryan; Bolinger, Mark

2004-01-01T23:59:59.000Z

167

Retail Motor Gasoline Price* Forecast Doesnt Reflect ...  

U.S. Energy Information Administration (EIA)

Gasoline pump prices have backed down from the high prices experienced ... with crude oil prices rebounding somewhat from their December lows combined ...

168

Open Automated Demand Response Dynamic Pricing Technologies and Demonstration  

E-Print Network (OSTI)

left) and High (right) Electricity Price References..32 Listin response to dynamic electricity prices using the Opena variety of dynamic electricity price structures. In this

Ghatikar, Girish

2010-01-01T23:59:59.000Z

169

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

170

Worried About High N Prices? Keith A Kelling and Larry G Bundy  

E-Print Network (OSTI)

October 16, 2003 Source: NYMEX #12;Per Cent 2002 2003 Change Res/Commercial 22.04 22.85 +3.7 Electric to increased offshore competition U.S. natural gas prices are expected to moderate but remain above historical 20 40 60 80 100 120 140 160 180 200 0 30 60 90 120 150 180 N rate (lb/a) #12;Economic Optimum N Rate

Balser, Teri C.

171

Are You Ready Phase Two? Pricing Changes and Commercial Products Added to DOE High-Performance Windows Program  

Science Conference Proceedings (OSTI)

This article, for publication in Door and Window Manufacturer magazine, describes DOE's High Performance Windows Volume Purchase Program, WVPP, and how PNNL, which manages the program for DOE, is assisting DOE in the transition to the next phase (Phase II), which begins in May. While the foundation of the program will remain relatively unchanged, PNNL is employing several new strategies to continue the momentum built during the program's first full year of implementation. The program helps buyers and manufacturers to develop a market for highly insulating windows and low-E storm windows at affordable prices and thereby overcome the principal barrier of cost.

Mapes, Terry S.

2011-05-01T23:59:59.000Z

172

Automated Critical Peak Pricing Field Tests: Program Description and Results  

E-Print Network (OSTI)

Moderate Price (real-time) High Price (real-time) Note:Into EMCS Moderate Price (real-time) Indicator Light Same asIndication (optional) High Price (real-time) Indicator Light

Piette, Mary Ann; Watson, David; Motegi, Naoya; Kiliccote, Sila; Xu, Peng

2006-01-01T23:59:59.000Z

173

A semi-Markov model with memory for price changes  

E-Print Network (OSTI)

We study the high frequency price dynamics of traded stocks by a model of returns using a semi-Markov approach. More precisely we assume that the intraday returns are described by a discrete time homogeneous semi-Markov which depends also on a memory index. The index is introduced to take into account periods of high and low volatility in the market. First of all we derive the equations governing the process and then theoretical results have been compared with empirical findings from real data. In particular we analyzed high frequency data from the Italian stock market from first of January 2007 until end of December 2010.

D'Amico, Guglielmo

2011-01-01T23:59:59.000Z

174

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

175

Sarah Price  

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

Sarah K Price Sarah Price Energy Efficiency Standards Group Lawrence Berkeley National Laboratory 1 Cyclotron Road MS 90R4000 Berkeley CA 94720 Office Location: 90-4128B (510)...

176

Marisa Price  

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

Marisa Dawn Price Marisa Price Communications Office Lawrence Berkeley National Laboratory 1 Cyclotron Road MS 90R3029B Berkeley CA 94720 Office Location: 90-2056B (510) 495-2713...

177

Natural Gas Citygate Price  

Annual Energy Outlook 2012 (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...

178

Retail Motor Gasoline Prices*  

Gasoline and Diesel Fuel Update (EIA)

6 6 Notes: Gasoline pump prices have backed down from the high prices experienced last summer and fall. The retail price for regular motor gasoline fell 11 cents per gallon from September to December. However, with crude oil prices rebounding somewhat from their December lows combined with lower than normal stock levels, we project that prices at the pump will rise modestly as the 2001 driving season begins this spring. For the summer of 2001, we expect only a little difference from the average price of $1.50 per gallon seen during the previous driving season, as motor gasoline stocks going into the driving season are projected to be slightly less than they were last year. The situation of relatively low inventories for gasoline could set the stage for some regional imbalances in supply that could once again

179

Residential Heating Oil Prices  

Gasoline and Diesel Fuel Update (EIA)

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

180

Gas Prices  

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

Prices Gasoline Prices for U.S. Cities Click on the map to view gas prices for cities in your state. AK VT ME NH NH MA MA RI CT CT DC NJ DE DE NY WV VA NC SC FL GA AL MS TN KY IN...

Note: This page contains sample records for the topic "high price volatility" 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

Oil Prices and Long-Run Risk.  

E-Print Network (OSTI)

??I show that relative levels of aggregate consumption and personal oil consumption provide anexcellent proxy for oil prices, and that high oil prices predict low (more)

READY, ROBERT

2011-01-01T23:59:59.000Z

182

Natural Gas Prices: Well Above Recent Averages  

U.S. Energy Information Administration (EIA)

... which depends most heavily on storage to meet peak demand. ... high current prices combined with only small price increases expected by the winter peak.

183

Essays on gasoline price spikes, environmental regulation of gasoline content, and incentives for refinery operation  

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. In particular, gasoline prices in California, ...

Muehlegger, Erich J

2005-01-01T23:59:59.000Z

184

Microsoft Word - Price Uncertainty Supplement.doc  

Gasoline and Diesel Fuel Update (EIA)

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

185

Microsoft Word - Price Uncertainty Supplement.doc  

Gasoline and Diesel Fuel Update (EIA)

Outlook Price Uncertainty-January 2010 Outlook Price Uncertainty-January 2010 1 January 2010 Short-Term Energy Outlook Energy Price Volatility and Forecast Uncertainty 1 January 12, 2010 Release Crude Oil Prices. West Texas Intermediate (WTI) crude oil spot prices averaged $74.50 per barrel in December 2009, about $3.50 per barrel lower than the prior month's average. The WTI spot price fell from $78 to $70 during the first 2 weeks of December, but colder-than-normal weather and U.S. crude oil and product inventory draws that exceeded the December 5-year averages helped push it back up to $79 per barrel by the end of the month. EIA forecasts that WTI spot prices will weaken over

186

Microsoft Word - Price Probabilities Supplement.doc  

Gasoline and Diesel Fuel Update (EIA)

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

187

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

188

Lynn Price  

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

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

189

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

190

Stephanie Price  

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

Stephanie Price is a communicator at the National Renewable Energy Laboratory, which assists EERE in providing technical content for many of its websites.

191

Snuller Price  

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

Snuller Price Energy and Environmental Economics NOTICE Due to the current lapse of federal funding, Berkeley Lab websites are accessible, but may not be updated until Congress...

192

Crude Oil Price Cycles  

U.S. Energy Information Administration (EIA)

The heating oil and diesel price runups in late January were made even more problematic by coming on top of the high side of the latest crude market cycle.

193

Crude Oil Price Cycles  

Gasoline and Diesel Fuel Update (EIA)

The heating oil and diesel fuel price runups in late January were made even more problematic by coming on top of the high side of the latest crude market cycle. Over the past 10...

194

Open Automated Demand Response Dynamic Pricing Technologies and Demonstration  

E-Print Network (OSTI)

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

Ghatikar, Girish

2010-01-01T23:59:59.000Z

195

Price Risk Management in the Midst of a Credit Crisis  

E-Print Network (OSTI)

Agricultural producers today face volatile markets, tight credit, economic uncertainty and escalating input costs. Understanding and using risk management tools in this environment can reduce much of the price risk and may improve financial returns.

Welch, Mark; Amosson, Stephen H.; Robinson, John; Falconer, Lawrence

2009-03-26T23:59:59.000Z

196

Essays on Price Dynamics  

E-Print Network (OSTI)

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

Hong, Gee Hee

2012-01-01T23:59:59.000Z

197

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

E-Print Network (OSTI)

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

Bhowmick, Sandeep

2010-01-01T23:59:59.000Z

198

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

199

An overview of alternative fossil fuel price and carbon regulation scenarios  

E-Print Network (OSTI)

3) inclusion of high coal prices within the High Fuel Pricegas prices (as well as coal prices, as substitutes for both

Wiser, Ryan; Bolinger, Mark

2004-01-01T23:59:59.000Z

200

Measuring and Explaining Electricity Price Changes in Restructured States  

Science Conference Proceedings (OSTI)

An effort to determine the effect of restructuring on prices finds that, on average, prices for industrial customers in restructured states were lower, relative to predicted prices, than prices for industrial customers in non-restructured states. This preliminary analysis also finds that these price changes are explained primarily by high pre-restructuring prices, not whether or not a state restructured. (author)

Fagan, Mark L.

2006-06-15T23:59:59.000Z

Note: This page contains sample records for the topic "high price volatility" 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

Price Dispersion on the Internet: Good Firms and Bad Firms  

E-Print Network (OSTI)

Abstract. Internet firms charge a wide range of prices for homogeneous products, and high-priced firms remain high-priced and low-priced firms remain low-priced over long periods. One explanation is that high-price firms are charging a premium for superior service. An alternative, price-dispersion explanation is that firms vary the prices for informed and uniformed consumers (Salop and Stiglitz, 1977) or serious shoppers and others (Wilde and Schwartz, 1979). The pricing pattern for a digital camera and a flatbed scanner is consistent with the price-dispersion model and inconsistent with the service-premium hypothesis. I.

Kathy Baylis; Jeffrey M. Perloff

2002-01-01T23:59:59.000Z

202

Microsoft Word - Price Uncertainty Supplement.doc  

Gasoline and Diesel Fuel Update (EIA)

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

203

Microsoft Word - Price Uncertainty Supplement.doc  

Gasoline and Diesel Fuel Update (EIA)

March 2010 March 2010 Short-Term Energy Outlook Energy Price Volatility and Forecast Uncertainty 1 March 9, 2010 Release Crude Oil Prices. WTI crude oil spot prices averaged $76.39 per barrel in February 2010, almost $2 per barrel lower than the prior month's average and very near the $76 per barrel forecast in last month's Outlook. Last month, the WTI spot price reached a low of $71.15 on February 5 and peaked at $80.04 on February 22. EIA expects WTI prices to average above $80 per barrel this spring, rising to an average of about $82 per barrel by the end of the year and to $85 per barrel by the end of 2011 (West Texas Intermediate Crude Oil Price Chart).

204

Microsoft Word - Price Uncertainty Supplement .docx  

Gasoline and Diesel Fuel Update (EIA)

1 1 1 January 2011 Short-Term Energy Outlook Energy Price Volatility and Forecast Uncertainty 1 January 11, 2011 Release Crude Oil Prices. West Texas Intermediate (WTI) crude oil spot prices averaged over $89 per barrel in December, about $5 per barrel higher than the November average. Expectations of higher oil demand, combined with unusually cold weather in both Europe and the U.S. Northeast, contributed to prices. EIA has raised the first quarter 2011 WTI spot price forecast by $8 per barrel from last monthʹs Outlook to $92 per barrel with a continuing rise to an average $99 per barrel in the fourth quarter of 2012. The projected annual average WTI price is $93 per barrel in 2011 and $98 per barrel in

205

Microsoft Word - Price Uncertainty Supplement.doc  

Gasoline and Diesel Fuel Update (EIA)

December 2010 Short-Term Energy Outlook Energy Price Volatility and Forecast Uncertainty 1 December 7, 2010 Release Crude Oil Prices. West Texas Intermediate (WTI) crude oil spot prices averaged over $84 per barrel in November, more than $2 per barrel higher than the October average. EIA has raised the average winter 2010-2011 period WTI spot price forecast by $1 per barrel from the last monthʹs Outlook to $84 per barrel. WTI spot prices rise to $89 per barrel by the end of next year, $2 per barrel higher than in the last Outlook. Projected WTI prices average $79 per barrel in 2010 and $86 per barrel in 2011. WTI futures for February 2011 delivery during the 5-day period ending December 2

206

Natural Gas Prices: Well Above  

Gasoline and Diesel Fuel Update (EIA)

context, defined as the average, +- 2 standard deviations). EIA's forecast has natural gas prices gradually declining after the winter heating season, but still remaining high...

207

Snuller Price  

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

Snuller Price Energy and Environmental Economics This speaker was a visiting speaker who delivered a talk or talks on the date(s) shown at the links below. This speaker is not...

208

PRICE GOUGING  

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

home heating costs? How will those be affected? With an overall increase in the price of heating oil and natural gas, we expect that there may be an increase in home heating costs...

209

Phillip Price  

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

90-2006 (510) 486-7875 PNPrice@lbl.gov Dr. Phillip Price has a Ph.D. in physics from the University of Kentucky, and has worked in the Indoor Environment Department since 1992. In...

210

Lynn Price  

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

Lynn Price China Energy Group Lawrence Berkeley National Laboratory 1 Cyclotron Road MS 90R2002 Berkeley CA 94720 Office Location: 90-2108 (510) 486-6519 LKPrice@lbl.gov NOTICE Due...

211

Approximating stochastic volatility by recombinant trees  

E-Print Network (OSTI)

A general method to construct recombinant tree approximations for stochastic volatility models is developed and applied to the Heston model for stock price dynamics. In this application, the resulting approximation is a four tuple Markov process. The ?first two components are related to the stock and volatility processes and take values in a two dimensional Binomial tree. The other two components of the Markov process are the increments of random walks with simple values in {-1; +1}. The resulting effi?cient option pricing equations are numerically implemented for general American and European options including the standard put and calls, barrier, lookback and Asian type pay-o?ffs. The weak and extended weak convergence are also proved.

Akyildirim, Erdinc; Soner, H Mete

2012-01-01T23:59:59.000Z

212

Explanatory Factors and Causality in the Dynamics of Volatility Surfaces Implied from OTC Asian---Pacific Currency Options  

Science Conference Proceedings (OSTI)

Volatility implied from observed option contracts systematically varies with the contracts' strike price and time to expiration, giving rise to an instantaneously non-flat implied volatility surface (IVS) that exhibits substantial time variation. We ... Keywords: Causality, Factor model, Implied volatility surfaces

Georgios Chalamandaris; Andrianos E. Tsekrekos

2013-03-01T23:59:59.000Z

213

Quantifying requirements volatility effects  

Science Conference Proceedings (OSTI)

In an organization operating in the bancassurance sector we identified a low-risk IT subportfolio of 84 IT projects comprising together 16,500 function points, each project varying in size and duration, for which we were able to quantify its requirements ... Keywords: ?-ratio, ?-ratio, Compound monthly growth rate, IT dashboard, IT portfolio management, Quantitative IT portfolio management, Requirements churn, Requirements creep, Requirements metric, Requirements scrap, Requirements volatility, Requirements volatility dashboard, Scope creep, Volatility benchmark, Volatility tolerance factor

G. P. Kulk; C. Verhoef

2008-08-01T23:59:59.000Z

214

Oil Price Uncertainty and Industrial Production Karl Pinnoy  

E-Print Network (OSTI)

improvements in GDP per unit of energy use. However, for those series, where oil price volatility is signi one would expect, based on trend improvements in GDP per unit of energy use. However, for those series, P. and L. Kilian (2009). "How Sensitive Are Consumer Expenditures to Retail Energy Prices

Maurer, Frank

215

Easing the natural gas crisis: Reducing natural gas prices through increased deployment of renewable energy and energy efficiency  

SciTech Connect

Heightened natural gas prices have emerged as a key energy-policy challenge for at least the early part of the 21st century. With the recent run-up in gas prices and the expected continuation of volatile and high prices in the near future, a growing number of voices are calling for increased diversification of energy supplies. Proponents of renewable energy and energy efficiency identify these clean energy sources as an important part of the solution. Increased deployment of renewable energy (RE) and energy efficiency (EE) can hedge natural gas price risk in more than one way, but this paper touches on just one potential benefit: displacement of gas-fired electricity generation, which reduces natural gas demand and thus puts downward pressure on gas prices. Many recent modeling studies of increased RE and EE deployment have demonstrated that this ''secondary'' effect of lowering natural gas prices could be significant; as a result, this effect is increasingly cited as justification for policies promoting RE and EE. This paper summarizes recent studies that have evaluated the gas-price-reduction effect of RE and EE deployment, analyzes the results of these studies in light of economic theory and other research, reviews the reasonableness of the effect as portrayed in modeling studies, and develops a simple tool that can be used to evaluate the impact of RE and EE on gas prices without relying on a complex national energy model. Key findings are summarized.

Wiser, Ryan; Bolinger, Mark; St. Clair, Matt

2004-12-21T23:59:59.000Z

216

Volatility Effects on the Escape Time in Financial Market Models  

E-Print Network (OSTI)

We shortly review the statistical properties of the escape times, or hitting times, for stock price returns by using different models which describe the stock market evolution. We compare the probability function (PF) of these escape times with that obtained from real market data. Afterwards we analyze in detail the effect both of noise and different initial conditions on the escape time in a market model with stochastic volatility and a cubic nonlinearity. For this model we compare the PF of the stock price returns, the PF of the volatility and the return correlation with the same statistical characteristics obtained from real market data.

Spagnolo, Bernardo

2008-01-01T23:59:59.000Z

217

Natural Gas Prices Are Above the Typical Range for the Past 2 Years  

U.S. Energy Information Administration (EIA)

Below average storage injections may be attributable, at least in part, to poor price incentives: high current prices and limited price increases are expected by ...

218

What was the highest U.S. average retail price of regular gasoline ...  

U.S. Energy Information Administration (EIA)

Why don't fuel prices change as quickly as crude oil prices? Why is the United States exporting gasoline when prices are so high?

219

After the Fall: An Ex Post Characterization of Housing Price Declines Across Metropolitan Areas  

E-Print Network (OSTI)

Model: How Much Do House Prices Matter?" , Real EstateThe Subprime Crisis and House Price Appreciation", NationalT. 2005, "Assessing High House Prices: Bubbles, Fundamentals

Carson, Richard T; Dastrup, Samuel R.

2009-01-01T23:59:59.000Z

220

Microsoft Word - Price Uncertainty Supplement.doc  

Gasoline and Diesel Fuel Update (EIA)

April 2010 April 2010 Short-Term Energy Outlook Energy Price Volatility and Forecast Uncertainty 1 April 6, 2010 Release Crude Oil Prices. WTI crude oil spot prices averaged $81 per barrel in March 2010, almost $5 per barrel above the prior month's average and $3 per barrel higher than forecast in last month's Outlook. Oil prices rose from a low this year of $71.15 per barrel on February 5 to $80 per barrel by the end of February, generally on news of robust economic and energy demand growth in non-OECD Asia and the Middle East, and held near $81 until rising to $85 at the start of April. EIA expects WTI prices to average above $81 per barrel this summer, slightly less that $81 for 2010 as a whole,

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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

Managing Energy Price Risk with Derivatives  

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

Managing Energy Price Risk with Derivatives Managing Energy Price Risk with Derivatives Speaker(s): Douglas Hale Date: September 18, 2003 - 12:00pm Location: Bldg. 90 Seminar Host/Point of Contact: Joseph Eto Energy derivatives came into being with the deregulation of the petroleum and natural gas industries in the early 1980s. Although derivatives-forwards, futures and options-have been used in American agriculture since the mid-1800's to manage price risk, they were unnecessary in regulated energy industries. Deregulation revealed that oil, gas and electricity prices are exceptionally volatile. Companies were forced to cope with the uncertainty in energy prices; they latched onto derivatives as one tool for managing that risk. Enron's collapse brought energy derivatives to public attention. Following the derivative linked

222

Crude Oil Affects Gasoline Prices  

U.S. Energy Information Administration (EIA)

Crude Oil Affects Gasoline Prices. WTI Crude Oil Price. Retail Gasoline Price. Source: Energy Information Administration

223

Forecasting volatility with the multifractal random walk model  

E-Print Network (OSTI)

We study the problem of forecasting volatility for the multifractal random walk model. In order to avoid the ill posed problem of estimating the correlation length T of the model, we introduce a limiting object defined in a quotient space; formally, this object is an infinite range logvolatility. For this object and the non limiting object, we obtain precise prediction formulas and we apply them to the problem of forecasting volatility and pricing options with the MRW model in the absence of a reliable estimate of the average volatility and T.

Duchon, Jean; Vargas, Vincent

2008-01-01T23:59:59.000Z

224

An artificial neural network approach for day-ahead electricity prices forecasting  

Science Conference Proceedings (OSTI)

This paper is about the use of artificial neural networks on day-ahead electricity prices forecasting. In nowadays competitive electricity markets, good forecasting tools hedging against daily price volatility are becoming increasingly important. The ... Keywords: artificial neural networks, electricity markets, prices forecasting

Joo Catalo; Slvio Mariano; Victor Mendes; Lus Ferreira

2005-06-01T23:59:59.000Z

225

SRM Pricing Policy  

Science Conference Proceedings (OSTI)

... rates are used to calculate the price for each ... Therefore, prices for new lots and renewal issues of ... changed, all SRMs may be re-priced taking into ...

2012-11-16T23:59:59.000Z

226

Pennsylvania Gasoline Price Data  

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

- GasBuddy.com Pennsylvania Gas Prices (selected cities) - GasBuddy.com Pennsylvania Gas Prices (organized by county) - Automotive.com Gas Prices of the United States:...

227

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.

228

Analyzing and Forecasting Volatility Spillovers, Asymmetries and Hedging in Major Oil Markets  

E-Print Network (OSTI)

Abstract: Crude oil price volatility has been analyzed extensively for organized spot, forward and futures markets for well over a decade, and is crucial for forecasting volatility and Value-at-Risk (VaR). There are four major benchmarks in the international oil market, namely West Texas Intermediate (USA), Brent (North Sea), Dubai/Oman (Middle East), and Tapis (Asia-Pacific), which are likely to be highly correlated. This paper analyses the volatility spillover and asymmetric effects across and within the four markets, using three multivariate GARCH models, namely the constant conditional correlation (CCC), vector ARMA-GARCH (VARMA-GARCH) and vector ARMA-asymmetric GARCH (VARMA-AGARCH) models. A rolling window approach is used to forecast the 1-day ahead conditional correlations. The paper presents evidence of volatility spillovers and asymmetric effects on the conditional variances for most pairs of series. In addition, the forecast conditional correlations between pairs of crude oil returns have both positive and negative trends. Moreover, the optimal hedge ratios and optimal portfolio weights of crude oil across different assets and market portfolios are evaluated in order to provide important policy implications for risk management in crude oil markets.

Chia-lin Chang; Michael Mcaleer; Roengchai Tansuchat; Chia-lin Chang; Michael Mcaleer; Roengchai Tansuchat

2010-01-01T23:59:59.000Z

229

Understanding Crude Oil Prices  

E-Print Network (OSTI)

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

Hamilton, James Douglas

2008-01-01T23:59:59.000Z

230

Average Commercial Price  

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

Residential Price Average Commercial Price Period: Monthly Annual Download Series History Download Series History Definitions, Sources & Notes Definitions, Sources & Notes...

231

Fuel Price Forecasts INTRODUCTION  

E-Print Network (OSTI)

Another important consideration in natural gas supply and cost is the capacity to transport the gas from.75 trillion cubic feet of natural gas from Canada; and 1.1 trillion cubic feet of that were imported through would mean a growing role for frontier supply areas and liquefied natural gas imports. High prices

232

Pyrolysis and volatilization of cocaine  

SciTech Connect

The increasing popularity of inhaling cocaine vapor prompted the present study, to determine cocaine's fate during this process. The free base of (3H)cocaine (1 microCi/50 mg) was added to a glass pipe, which was then heated in a furnace to simulate freebasing. Negative pressure was used to draw the vapor through a series of glass wool, ethanol, acidic, and basic traps. Air flow rate and temperature were found to have profound effects on the volatilization and pyrolysis of cocaine. At a temperature of 260 degrees C and a flow rate of 400 mL/min, 37% of the radioactivity remained in the pipe, 39% was found in the glass wool trap, and less than 1% in the remainder of the volatilization apparatus after a 10-min volatilization. Reducing the air flow rate to 100 mL/min reduced the amount of radioactivity collected in the glass wool trap to less than 10% of the starting material and increased the amount that remained in the pipe to 58%. GC/MS analysis of the contents of the glass wool trap after volatilization at 260 degrees C and a flow rate of 400 mL/min revealed that 60% of the cocaine remained intact, while approximately 6 and 2% of the starting material was recovered as benzoic acid and methylecgonidine, respectively. As the temperature was increased to 650 degrees C, benzoic acid and methylecgonidine accounted for 83 and 89% of the starting material, respectively, whereas only 2% of the cocaine remained intact. Quantitation of cocaine in the vapor during the course of volatilization revealed high concentrations during the first two min and low concentrations for the remaining time.

Martin, B.R.; Lue, L.P.; Boni, J.P. (Virginia Commonwealth Univ., Richmond (USA))

1989-05-01T23:59:59.000Z

233

Oil Prices, External Income, and Growth: Lessons from Jordan  

E-Print Network (OSTI)

This paper extends the long-run growth model of Esfahani et al. (2012a) to a labour exporting country that receives large inows of external income the sum of remittances, FDI and general government transfers from major oil exporting economies. The theoretical model predicts real oil prices to be one of the main long-run drivers of real output. Using quarterly data between 1979 and 2009 on core macroeconomic variables for Jordan and a number of key foreign variables, we identify two long-run relationships: an output equation as predicted by theory and an equation linking foreign and domestic ination rates. It is shown that real output in the long run is shaped by (i) oil prices through their impact on external income and in turn on capital accumulation, and (ii) technological transfers through foreign output. The empirical analysis of the paper conrms the hypothesis that a large share of Jordans output volatility can be associated with uctuations in net income received from abroad (arising from oil price shocks). External factors, however, cannot be relied upon to provide similar growth stimuli in the future, and therefore it will be important to diversify the sources of growth in order to achieve a high and sustained level of income.

Kamiar Mohaddes A; Mehdi Raissi B

2013-01-01T23:59:59.000Z

234

A semi-Markov model for price returns  

E-Print Network (OSTI)

We study the high frequency price dynamics of traded stocks by a model of returns using a semi-Markov approach. More precisely we assume that the intraday return are described by a discrete time homogeneous semi-Markov process and the overnight returns are modeled by a Markov chain. Based on this assumptions we derived the equations for the first passage time distribution and the volatility autocorreletion function. Theoretical results have been compared with empirical findings from real data. In particular we analyzed high frequency data from the Italian stock market from first of January 2007 until end of December 2010. The semi-Markov hypothesis is also tested through a nonparametric test of hypothesis.

D'Amico, Guglielmo

2011-01-01T23:59:59.000Z

235

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

236

Can Deployment of Renewable Energy and Energy Efficiency PutDownward Pressure on Natural Gas Prices  

SciTech Connect

High and volatile natural gas prices have increasingly led to calls for investments in renewable energy and energy efficiency. One line of argument is that deployment of these resources may lead to reductions in the demand for and price of natural gas. Many recent U.S.-based modeling studies have demonstrated that this effect could provide significant consumer savings. In this article we evaluate these studies, and benchmark their findings against economic theory, other modeling results, and a limited empirical literature. We find that many uncertainties remain regarding the absolute magnitude of this effect, and that the reduction in natural gas prices may not represent an increase in aggregate economic wealth. Nonetheless, we conclude that many of the studies of the impact of renewable energy and energy efficiency on natural gas prices appear to have represented this effect within reason, given current knowledge. These studies specifically suggest that a 1% reduction in U.S. natural gas demand could lead to long-term average wellhead price reductions of 0.8% to 2%, and that each megawatt-hour of renewable energy and energy efficiency may benefit natural gas consumers to the tune of at least $7.5 to $20.

Wiser, Ryan; Bolinger, Mark

2005-06-01T23:59:59.000Z

237

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

238

Natural Gas Wellhead Price  

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

Pipeline and Distribution Use Price City Gate Price Residential Price Percentage of Total Residential Deliveries included in Prices Commercial Price Percentage of Total Commercial Deliveries included in Prices Industrial Price Percentage of Total Industrial Deliveries included in Prices Vehicle Fuel Price Electric Power Price Period: Monthly Annual Pipeline and Distribution Use Price City Gate Price Residential Price Percentage of Total Residential Deliveries included in Prices Commercial Price Percentage of Total Commercial Deliveries included in Prices Industrial Price Percentage of Total Industrial Deliveries included in Prices Vehicle Fuel Price Electric Power Price Period: Monthly Annual Download Series History Download Series History Definitions, Sources & Notes Definitions, Sources & Notes Show Data By: Data Series Area 2007 2008 2009 2010 2011 2012 View History U.S. 6.25 7.97 3.67 4.48 3.95 2.66 1922-2012 Alabama 7.44 9.65 4.32 4.46 1967-2010 Alaska 5.63 7.39 2.93 3.17 1967-2010 Arizona 5.98 7.09 3.19 4.11 1967-2010 Arkansas

239

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

240

Correlation of Price to Inventory Levels  

Gasoline and Diesel Fuel Update (EIA)

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

Note: This page contains sample records for the topic "high price volatility" 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

Definition: Critical Peak Pricing | Open Energy Information  

Open Energy Info (EERE)

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

242

Non Poisson intermittent events in price formation  

E-Print Network (OSTI)

The formation of price in a financial market is modelled as a chain of Ising spin with three fundamental figures of trading. We investigate the time behaviour of the model, and we compare the results with the real EURO/USD change rate. By using the test of local Poisson hypothesis, we show that this minimal model leads to clustering and "declustering" in the volatility signal, typical of the real market data.

Greco, A; Sorriso-Valvo, L; Carbone, Vincenzo; Greco, Antonella; Sorriso-Valvo, Luca

2006-01-01T23:59:59.000Z

243

PRICE GOUGING | Department of Energy  

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

PRICE GOUGING PRICE GOUGING PRICE GOUGING More Documents & Publications PRICE GOUGING Department of Energy Response to Hurricane Katrina Fact Sheet Department of Energy Response to...

244

The non-trivial random walk of stock prices  

E-Print Network (OSTI)

We investigate the random walk of prices by developing a simple model relating the properties of the signs and absolute values of individual price changes to the diffusion rate (volatility) of prices at longer time scales. We find that for one hour intervals this model consistently over-predicts the observed volatility of real price series by about 40%, and that this effect becomes stronger as the length of the intervals increases. By selectively shuffling some components of the data while preserving others we are able to show that this discrepancy is caused by a subtle but long-range non-contemporaneous correlation between the signs and sizes of individual returns. We conjecture that this is related to the long-memory of transaction signs and the need to enforce market efficiency.

La Spada, Gabriele; Lillo, Fabrizio

2007-01-01T23:59:59.000Z

245

Georgia Natural Gas Prices  

U.S. Energy Information Administration (EIA)

Natural Gas Prices ... History; Imports Price: 6.79: 9.71: 3.73: 4.39: 4.20: 2.78: 1999-2012: Pipeline and Distribution Use Price : 1967-2005: ...

246

Michigan Natural Gas Prices  

U.S. Energy Information Administration (EIA)

Natural Gas Prices (Dollars per Thousand Cubic Feet, except where noted) ... History; Wellhead Price: NA: 5.63: 3.92: 3.79 : 1967-2010: Imports Price: ...

247

Diesel prices decrease  

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

Diesel prices decrease The U.S. average retail price for on-highway diesel fuel fell to 3.87 a gallon on Monday. That's down 1.6 cents from a week ago, based on the weekly price...

248

Diesel prices increase  

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

Diesel prices increase The U.S. average retail price for on-highway diesel fuel rose to 3.84 a gallon on Monday. That's up 2.2 cents from a week ago, based on the weekly price...

249

Diesel prices decrease  

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

Diesel prices decrease The U.S. average retail price for on-highway diesel fuel fell to 4.05 a gallon on Monday. That's down 4.1 cents from a week ago, based on the weekly price...

250

Diesel prices flat  

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

Diesel prices flat The U.S. average retail price for on-highway diesel fuel saw no movement from last week. Prices remained flat at 3.89 a gallon on Monday, based on the weekly...

251

Overshooting of agricultural prices  

E-Print Network (OSTI)

Rotenberg, Julio J. , "Sticky Prices in the United States,"Monetary Policy on United States Agriculture. A Fix-Price,Flex-Price Approach," Unpublished Ph.D. Disser- tation,

Stamoulis, Kostas G.; Rausser, Gordon C.

1987-01-01T23:59:59.000Z

252

Diesel prices decrease  

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

Diesel prices decrease The U.S. average retail price for on-highway diesel fuel fell to 3.88 a gallon on Monday. That's down a penny from a week ago, based on the weekly price...

253

Diesel prices decrease  

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

Diesel prices decrease The U.S. average retail price for on-highway diesel fuel fell to 3.85 a gallon on Monday. That's down 2 cents from a week ago, based on the weekly price...

254

Diesel prices decrease  

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

Diesel prices decrease The U.S. average retail price for on-highway diesel fuel fell to 3.82 a gallon on Monday. That's down 2.1 cents from a week ago, based on the weekly price...

255

Diesel prices flat nationally  

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

Diesel prices flat nationally The U.S. average retail price for on-highway diesel fuel remained the same from a week ago at 3.98 a gallon on Monday, based on the weekly price...

256

Describing Commodity Prices in the Energy Book System  

Science Conference Proceedings (OSTI)

The EPRI Energy Book System (EBS) Version 1.20 modules require that users specify a forward price curve and volatility term structure for each commodity market underlying their portfolio. If users wish to measure and manage portfolio risk and/or value certain cross-commodity derivatives, such as spread options and generation assets, then they must also specify commodity price correlations. This report provides a 'first-cut' method for helping EBS users estimate parameters that describe the relevant power...

2000-12-13T23:59:59.000Z

257

Natural Gas Wellhead Price  

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

included in Prices Electric Power Price Period: Monthly Annual Download Series History Download Series History Definitions, Sources & Notes Definitions, Sources & Notes...

258

Natural Gas Wellhead Prices  

U.S. Energy Information Administration (EIA)

Slide 19 of 27. Price: Wellhead. Natural gas wellhead prices are projected to move up 5 percent this winter, averaging about $2.28 per Mcf during this ...

259

Crude Oil Price Forecast  

U.S. Energy Information Administration (EIA)

We believe crude oil prices will strengthen somewhat, but prices will rise much more slowly than they fell, and they are expected to remain lower in ...

260

Primer on Gasoline Prices  

Reports and Publications (EIA)

This brochure answers, in laymen's terms, questions such as "What are the components of the retail price of gasoline? Why do gasoline prices fluctuate?

Information Center

2009-07-15T23:59:59.000Z

Note: This page contains sample records for the topic "high price volatility" 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

Price Liquefied Sabine Pass, LA Natural Gas Exports Price ...  

U.S. Energy Information Administration (EIA)

Price Liquefied Sabine Pass, LA Natural Gas Exports Price to Brazil (Dollars per Thousand Cubic Feet)

262

WTI Crude Oil Price: Potential for Volatility Around Base Case  

U.S. Energy Information Administration (EIA)

Pledges by Saudi Arabia/OPEC to offset a longer term Iraqi disruption added to a market sense of oversupply. Relatively mild weather in Europe allowed distillate ...

263

Demand and Price Volatility: Rational Habits in International Gasoline Demand  

E-Print Network (OSTI)

A Joint Model of the Global Crude Oil Market and the U.S.Noureddine. 2002. World crude oil and natural gas: a demandelasticity of demand for crude oil, not gasoline. Results

Scott, K. Rebecca

2011-01-01T23:59:59.000Z

264

Commodity Price Volatility and the Sources of Growth  

E-Print Network (OSTI)

, hides, soybeans, natural rubber, hardlog, cotton, wool, iron ore, copper, nickel, aluminum, lead, zinc, tin, soy oil, sun?ower oil, palm oil, coconut oil, gold, and crude oil. 4 This index can be seen to measure the bene?ts of diversifying the economy...

Cavalcanti, Tiago V. de V.; Mohaddes, Kamiar; Raissi, Mehdi

2011-01-26T23:59:59.000Z

265

Do Producer Prices Lead Consumer Prices?  

E-Print Network (OSTI)

increased rapidly. Excluding food and energy, prices of crude materials and intermediate goods rose at annual rates of 7.2 and 16.7 percent, respectively. At the same time, however, prices of consumer goods and services excluding food and energy increased a more modest 2.9 percent. Many analysts are concerned that recent increases in the prices of crude and intermediate goods may be passed through to consumers, resulting in a higher rate of inflation in consumer prices later this year and perhaps in 1996. This article examines whether price increases at the early stages of production should be expected to move through the production chain, leading to increases in consumer prices. In the first section, a review of basic economic theory suggests there should be a pass-through effectthat is, producer prices should lead and thereby help predict consumer prices. A more sophisticated analysis, though, suggests the pass-through effect may be weak. In the second section, an examination of the empirical evidence indicates that producer prices are not always good predictors of consumer prices. The article Todd E. Clark is an economist at the Federal Reserve Bank of Kansas City. Mangal Goswami, a research associate at the bank, helped prepare the article. concludes that the recent increases in some producer prices do not necessarily signal higher inflation.

E. Clark

1994-01-01T23:59:59.000Z

266

Leverage Causes Fat Tails and Clustered Volatility  

E-Print Network (OSTI)

We build a very simple model of leveraged asset purchases with margin calls. Investment funds use what is perhaps the most basic financial strategy, called 'value investing', i.e. systematically attempting to buy underpriced assets. When funds do not borrow, the price fluctuations of the asset are normally distributed and uncorrelated across time. All this changes when the funds are allowed to leverage, i.e. borrow from a bank, to purchase more assets than their wealth would otherwise permit. When funds use leverage, price fluctuations become heavy tailed and display clustered volatility, similar to what is observed in real markets. Previous explanations of fat tails and clustered volatility depended on 'irrational behavior', such as trend following. We show that the immediate cause of the increase in extreme risks in our model is the risk control policy of the banks: A prudent bank makes itself locally safer by putting a limit to leverage, so when a fund exceeds its leverage limit, it must partially repay it...

Thurner, Stefan; Geanakoplos, John

2009-01-01T23:59:59.000Z

267

THE SIMPLE ECONOMICS OF COMMODITY PRICE SPECULATION  

E-Print Network (OSTI)

The price of crude oil in the U.S. never exceeded $40 per barrel until mid-2004. By 2006 it reached $70, and in July 2008 it peaked at $145. By late 2008 it had plummeted to about $30 before increasing to $110 in 2011. Are speculators at least partly to blame for these sharp price changes? We clarify the effects of speculators on commodity prices. We focus on crude oil, but our approach can be applied to other commodities. We explain the meaning of oil price speculation, how it can occur, and how it relates to investments in oil reserves, inventories, or derivatives (such as futures contracts). Turning to the data, we 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 is consistent with data on production, consumption, inventory changes, and convenience yields given reasonable elasticity assumptions. We show speculation had little, if any, effect on prices and volatility.

Christopher R. Knittel; Robert S. Pindyck

2013-01-01T23:59:59.000Z

268

Retail Heating Oil and Diesel Fuel Prices  

Gasoline and Diesel Fuel Update (EIA)

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

269

Retail Heating Oil and Diesel Fuel Prices  

Gasoline and Diesel Fuel Update (EIA)

6 6 Notes: With the worst of the heating season (October-March) now behind us, we can be fairly confident that retail heating oil prices have seen their seasonal peak. Relatively mild weather and a softening of crude oil prices have helped ease heating oil prices. Spot heating oil prices recently reached their lowest levels in over six months. Because of relatively balmy weather in the Northeast in January and February, heating oil stock levels have stabilized. Furthermore, heating oil production has been unusually robust, running several hundred thousand barrels per day over last year's pace. Currently, EIA expects winter prices to average around $1.41, which is quite high in historical terms. The national average price in December 2000 was 44 cents per gallon above the December 1999 price. For February

270

Natural Gas Prices: Well Above Recent Averages  

Gasoline and Diesel Fuel Update (EIA)

5 5 Notes: The recent surge in spot prices at the Henry Hub are well above a typical range for 1998-1999 (in this context, defined as the average, +/- 2 standard deviations). Past price surges have been of short duration. The possibility of a downward price adjustment before the end of next winter is a source of considerable risk for storage operators who acquire gas at recent elevated prices. Storage levels in the Lower 48 States were 7.5 percent below the 5-year average (1995-1999) by mid-August (August 11), although the differential is only 6.4 percent in the East, which depends most heavily on storage to meet peak demand. Low storage levels are attributable, at least in part, to poor price incentives: high current prices combined with only small price

271

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

272

Essays on pricing under uncertainty  

E-Print Network (OSTI)

This dissertation analyzes pricing under uncertainty focusing on the U.S. airline industry. It sets to test theories of price dispersion driven by uncertainty in the demand by taking advantage of very detailed information about the dynamics of airline prices and inventory levels as the flight date approaches. Such detailed information about inventories at a ticket level to analyze airline pricing has been used previously by the author to show the importance of capacity constraints in airline pricing. This dissertation proposes and implements many new ideas to analyze airline pricing. Among the most important are: (1) It uses information about inventories at a ticket level. (2) It is the first to note that fare changes can be explained by adding dummy variables representing ticket characteristics. Therefore, the load factor at a ticket level will lose its explanatory power on fares if all ticket characteristics are included in a pricing equation. (3) It is the first to propose and implement a measure of Expected Load Factor as a tool to identify which flights are peak and which ones are not. (4) It introduces a novel idea of comparing actual sales with average sales at various points prior departure. Using these deviations of actual sales from sales under average conditions, it presents is the first study to show empirical evidence of peak load pricing in airlines. (5) It controls for potential endogeneity of sales using dynamic panels. The first essay tests the empirical importance of theories that explain price dispersion under costly capacity and demand uncertainty. The essay calculates a measure of an Expected Load Factor, that is used to calibrate the distribution of demand uncertainty and to identify which flights are peak and which ones are off-peak. It shows that different prices can be explained by the different selling probabilities. The second essay is the first study to provide formal evidence of stochastic peak-load pricing in airlines. It shows that airlines learn about the demand and respond to early sales setting higher prices when expected demand is high and more likely to exceed capacity.

Escobari Urday, Diego Alfonso

2008-05-01T23:59:59.000Z

273

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

274

OIL PRICES AND LONG-RUN RISK  

E-Print Network (OSTI)

I show that relative levels of aggregate consumption and personal oil consumption provide an excellent proxy for oil prices, and that high oil prices predict low future aggregate consumption growth. Motivated by these facts, I add an oil consumption good to the long-run risk model of Bansal and Yaron [2004] to study the asset pricing implications of observed changes in the dynamic interaction of consumption and oil prices. Empirically I observe that, compared to the first half of my 1987- 2010 sample, oil consumption growth in the last 10 years is unresponsive to levels of oil prices, creating an decrease in the mean-reversion of oil prices, and an increase in the persistence of oil price shocks. The model implies that the change in the dynamics of oil consumption generates increased systematic risk from oil price shocks due to their increased persistence. However, persistent oil prices also act as a counterweight for shocks to expected consumption growth, with high expected growth creating high expectations of future oil prices which in turn slow down growth. The combined effect is to reduce overall consumption risk and lower the equity premium. The model also predicts that these changes affect the riskiness of of oil futures contracts, and combine to create a hump shaped

Robert Ready; Robert Clayton Ready; Robert Clayton Ready; Amir Yaron

2011-01-01T23:59:59.000Z

275

Volatile Energy Costs and the Floundering Deregulation of Electricity: A  

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

Volatile Energy Costs and the Floundering Deregulation of Electricity: A Volatile Energy Costs and the Floundering Deregulation of Electricity: A Fresh Look at Integrating Supply-Side and Demand-Side Resources Speaker(s): Bill Kelly Robert Redlinger Date: January 19, 2001 - 12:00pm Location: 90-3148 Seminar Host/Point of Contact: Julie Osborn The restructuring of the California electricity industry has not proceeded as intended. A generation capacity shortage, combined with spiraling natural gas costs and a flawed electricity market structure, have led to unprecedented wholesale electricity prices, power outages, and a political and financial crisis for the State. This crisis will not be solved through increasing electricity supply alone. Energy industry observers agree that 1.) energy efficiency, 2.) distributed on-site generation, and 3.) price

276

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

277

MTBE Prices Responded to Natural Gas Prices  

Gasoline and Diesel Fuel Update (EIA)

6 6 Notes: On top of the usual factors impacting gasoline prices, natural gas has had some influence recently. MTBE is an oxygenate used in most of the RFG consumed in the U.S. Generally, it follows gasoline prices and its own supply/demand balance factors. But this winter, we saw it respond strongly to natural gas prices. MTBE is made from methanol and isobutylene, which in turn come from methane and butane. Both methane and butane come from natural gas streams. Until this year, the price of natural gas has been so low that it had little effect. But the surge that occurred in December and January pulled MTBE up . Keep in mind that about 11% MTBE is used in a gallon of RFG, so a 30 cent increase in MTBE is only about a 3 cent increase in the price of RFG. While we look ahead at this summer, natural gas prices should be

278

MTBE Prices Responded to Natural Gas Prices  

U.S. Energy Information Administration (EIA)

On top of the usual factors impacting gasoline prices, natural gas has had some influence recently. ... Both methane and butane come from natural gas streams.

279

Maximizing Information from Residential Measurements of Volatile...  

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

Maximizing Information from Residential Measurements of Volatile Organic Compounds Title Maximizing Information from Residential Measurements of Volatile Organic Compounds...

280

Regional Retail Gasoline Prices  

Gasoline and Diesel Fuel Update (EIA)

7 7 Notes: Retail gasoline prices, like those for distillate fuels, have hit record prices nationally and in several regions this year. The national average regular gasoline price peaked at $1.68 per gallon in mid-June, but quickly declined, and now stands at $1.45, 17 cents higher than a year ago. Two regions, in particular, experienced sharp gasoline price runups this year. California, which often has some of the highest prices in the nation, saw prices peak near $1.85 in mid-September, while the Midwest had average prices over $1.87 in mid-June. Local prices at some stations in both areas hit levels well over $2.00 per gallon. The reasons for the regional price runups differed significantly. In the Midwest, the introduction of Phase 2 RFG was hampered by low stocks,

Note: This page contains sample records for the topic "high price volatility" 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

Virginia Gasoline Price Data  

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

Virginia Virginia Exit Fueleconomy.gov The links below are to pages that are not part of the fueleconomy.gov. We offer these external links for your convenience in accessing additional information that may be useful or interesting to you. Selected Cities Alexandria AlexandriaGasPrices.com Automotive.com Mapquest.com Arlington ArlingtonGasPrices.com Automotive.com Mapquest.com Chesapeake ChesapeakeGasPrices.com Automotive.com Mapquest.com Hampton HamptonGasPrices.com Automotive.com Mapquest.com Newport News NewportNewsGasPrices.com Automotive.com Mapquest.com Norfolk NorfolkGasPrices.com Automotive.com Mapquest.com Portsmouth PortsmouthGasPrices.com Automotive.com Mapquest.com Richmond RichmondGasPrices.com Automotive.com Mapquest.com Virginia Beach VirginiaBeachGasPrices.com Automotive.com Mapquest.com

282

Illinois Gasoline Price Data  

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

Illinois Illinois Exit Fueleconomy.gov The links below are to pages that are not part of the fueleconomy.gov. We offer these external links for your convenience in accessing additional information that may be useful or interesting to you. Selected Cities Arlington Heights ArlingtonHeightsGasPrices.com Automotive.com MapQuest.com Aurora AuroraGasPrices.com Automotive.com MapQuest.com Bloomington BloomingtonGasPrices.com Automotive.com MapQuest.com Champaign ChampaignGasPrices.com Automotive.com MapQuest.com Chicago ChicagoGasPrices.com Automotive.com MapQuest.com Decatur DecaturGasPrices.com Automotive.com Mapquest.com Elgin ElginGasPrices.com Automotive.com MapQuest.com Joliet JolietGasPrices.com Automotive.com MapQuest.com Naperville NapervilleGasPrices.com Automotive.com MapQuest.com

283

Tennessee Gasoline Price Data  

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

Tennessee Tennessee Exit Fueleconomy.gov The links below are to pages that are not part of the fueleconomy.gov. We offer these external links for your convenience in accessing additional information that may be useful or interesting to you. Selected Cities Chattanooga ChattanoogaGasPrices.com Automotive.com Mapquest.com Clarksville ClarksvilleGasPrices.com Automotive.com Mapquest.com Knoxville KnoxvilleGasPrices.com Automotive.com Mapquest.com Memphis MemphisGasPrices.com Automotive.com Mapquest.com Murfreesboro MurfreesboroGasPrices.com Automotive.com Mapquest.com Nashville NashvilleGasPrices.com Automotive.com Mapquest.com Other Tennessee Cities TennesseeGasPrices.com (search by city or ZIP code) - GasBuddy.com Tennessee Gas Prices (selected cities) - GasBuddy.com Tennessee Gas Prices (organized by county) - Automotive.com

284

Wisconsin Gasoline Price Data  

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

Wisconsin Wisconsin Exit Fueleconomy.gov The links below are to pages that are not part of the fueleconomy.gov. We offer these external links for your convenience in accessing additional information that may be useful or interesting to you. Selected Cities Appleton AppletonGasPrices.com Automotive.com Mapquest.com Eau Claire EauClaireGasPrices.com Automotive.com Mapquest.com Green Bay GreenBayGasPrices.com Automotive.com Mapquest.com Kenosha KenoshaGasPrices.com Automotive.com Mapquest.com Madison MadisonGasPrices.com Automotive.com Mapquest.com Milwaukee MilwaukeeGasPrices.com Automotive.com Mapquest.com Other Wisconsin Cities WisconsinGasPrices.com (search by city or ZIP code) - GasBuddy.com Wisconsin Gas Prices (selected cities) - GasBuddy.com Wisconsin Gas Prices (organized by county) - Automotive.com

285

Maryland Gasoline Price Data  

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

Maryland Maryland Exit Fueleconomy.gov The links below are to pages that are not part of the fueleconomy.gov. We offer these external links for your convenience in accessing additional information that may be useful or interesting to you. Selected Cities Baltimore BaltimoreGasPrices.com Automotive.com MapQuest.com Bethesda BethesdaGasPrices.com Automotive.com MapQuest.com Bowie BowieGasPrices.com Automotive.com MapQuest.com Frederick FrederickGasPrices.com Automotive.com MapQuest.com Gaithersburg GaithersburgGasPrices.com Automotive.com MapQuest.com Other Maryland Cities MarylandGasPrices.com (search by city or ZIP code) - GasBuddy.com Maryland Gas Prices (selected cities) - GasBuddy.com Maryland Gas Prices (organized by county) - Automotive.com Gas Prices of the United States: Maryland Cities - MapQuest

286

Massachusetts Gasoline Price Data  

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

Massachusetts Massachusetts Exit Fueleconomy.gov The links below are to pages that are not part of the fueleconomy.gov. We offer these external links for your convenience in accessing additional information that may be useful or interesting to you. Selected Cities Boston BostonGasPrices.com Automotive.com MapQuest.com Brockton BrocktonGasPrices.com Automotive.com MapQuest.com Cambridge CambridgeGasPrices.com Automotive.com MapQuest.com Fall River FallRiverGasPrices.com Automotive.com MapQuest.com Haverhill HaverhillGasPrices.com Automotive.com MapQuest.com Lawrence LawrenceGasPrices.com Automotive.com MapQuest.com Lowell LowellGasPrices.com Automotive.com MapQuest.com New Bedford NewBedfordGasPrices.com Automotive.com Mapquest.com Taunton TauntonGasPrices.com Automotive.com MapQuest.com

287

Ohio Gasoline Price Data  

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

Ohio Ohio Exit Fueleconomy.gov The links below are to pages that are not part of the fueleconomy.gov. We offer these external links for your convenience in accessing additional information that may be useful or interesting to you. Selected Cities Akron AkronGasPrices.com Automotive.com Mapquest.com Cincinnati CincinnatiGasPrices.com Automotive.com Mapquest.com Cleveland ClevelandGasPrices.com Automotive.com Mapquest.com Columbus ColumbusGasPrices.com Automotive.com Mapquest.com Dayton DaytonGasPrices.com Automotive.com Mapquest.com Toledo ToledoGasPrices.com Automotive.com Mapquest.com Other Ohio Cities OhioGasPrices.com (search by city or ZIP code) - GasBuddy.com Ohio Gas Prices (selected cities) - GasBuddy.com Ohio Gas Prices (organized by county) - Automotive.com

288

PRICE & AVAILABILITY UPDATES  

E-Print Network (OSTI)

4.3 Price & Availability Updates File when titles transferred to new supplier..................... 5 4.4 Format of the Day element in Availability Dates......................................................... 5 5 Example of Price & Availability Updates transmission....................................................... 5 6 Price & Availability Updates file header............................................................................. 7 Example of a complete Price & Availability Updates file header....................................... 12 7 Price & Availability Updates message level content...................................................... 13 8 Price & Availability Updates line level content............................................................... 14 Example showing Order "line level " segments NOI to DNC.............................................. 21 9 Price & Availability Updates message trailer.................................................................... 21 10 Price & Availability Updates file trailer............................................................................ 22 NOTE: The TRADACOMS Price & Availability Updates message is not recommended for new implementations. The recommended formats for the communication of book product information are the ONIX for Books Product Information message and Supply Update message.

unknown authors

2010-01-01T23:59:59.000Z

289

Oklahoma Gasoline Price Data  

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

Oklahoma Oklahoma Exit Fueleconomy.gov The links below are to pages that are not part of the fueleconomy.gov. We offer these external links for your convenience in accessing additional information that may be useful or interesting to you. Selected Cities Lawton LawtonGasPrices.com Automotive.com Mapquest.com Norman NormanGasPrices.com Automotive.com Mapquest.com Oklahoma City OklahomaCityGasPrices.com Automotive.com Mapquest.com Tulsa TulsaGasPrices.com Automotive.com Mapquest.com Other Oklahoma Cities OklahomaGasPrices.com (search by city or ZIP code) - GasBuddy.com Oklahoma Gas Prices (selected cities) - GasBuddy.com Oklahoma Gas Prices (organized by county) - Automotive.com Gas Prices of the United States: Oklahoma Cities - MapQuest Oklahoma Gas Prices (organized by county, search by ZIP code) -

290

State Volume Price Volume Price Volume Price Volume Price Volume Price  

Gasoline and Diesel Fuel Update (EIA)

7 7 2000 2001 2002 2003 2004 State Volume Price Volume Price Volume Price Volume Price Volume Price Pipeline (Canada) Eastport, ID..................... 830,351 3.79 802,182 4.71 759,647 2.83 R 623,652 4.72 707,885 5.30 Calais, ME ...................... 123,521 4.50 152,486 4.47 124,991 3.49 R 115,301 R 5.85 102,292 6.44 Detroit, MI ....................... 6,171 3.82 405 9.34 1,948 3.56 2,514 5.96 1,117 6.27 Marysville, MI.................. 0 -- 0 -- 74 3.95 0 -- 303 7.80 St. Clair, MI..................... 17,198 4.45 21,747 4.54 28,441 3.19 5,202 5.84 22,853 6.50 International Falls, MN .... 3,022 2.77 617 4.85 602 3.01 0 -- 0 -- Noyes, MN...................... 469,361 3.75 448,898 4.19 402,621 3.09 R 359,801 5.04 399,298 5.77 Warroad, MN .................. 4,576 3.95 5,318 4.52

291

Demand and Price Outlook for Phase 2 Reformulated Gasoline, 2000  

Gasoline and Diesel Fuel Update (EIA)

Demand and Price Outlook for Demand and Price Outlook for Phase 2 Reformulated Gasoline, 2000 Tancred Lidderdale and Aileen Bohn (1) Contents * Summary * Introduction * Reformulated Gasoline Demand * Oxygenate Demand * Logistics o Interstate Movements and Storage o Local Distribution o Phase 2 RFG Logistics o Possible Opt-Ins to the RFG Program o State Low Sulfur, Low RVP Gasoline Initiatives o NAAQS o Tier 2 Gasoline * RFG Production Options o Toxic Air Pollutants (TAP) Reduction o Nitrogen Oxides (NOx) Reduction o Volatile Organic Compounds (VOC) Reduction o Summary of RFG Production Options * Costs of Reformulated Gasoline o Phase 1 RFG Price Premium o California Clean Gasoline Price Premium o Phase 2 RFG Price Premium o Reduced Fuel Economy

292

Microsoft Word - feb10-Price Uncertainty Supplement.doc  

Gasoline and Diesel Fuel Update (EIA)

February 2010 February 2010 Short-Term Energy Outlook Energy Price Volatility and Forecast Uncertainty 1 February 12, 2010 Release Crude Oil Prices. WTI crude oil spot prices averaged $78.33 per barrel in January 2010, almost $4 per barrel higher than the prior month's average and matching the $78-per-barrel forecast in last month's Outlook. The WTI spot price peaked at $83.12 on January 6 and then fell to $72.85 on January 29 as the weather turned warm and concerns about the strength of world economic recovery increased. EIA forecasts that WTI spot prices will remain near current levels over the next few months, averaging $76 per barrel in February and March, before rising to about $82 per barrel in the late

293

Appendix A: Fuel Price Forecast Introduction..................................................................................................................................... 1  

E-Print Network (OSTI)

Appendix A: Fuel Price Forecast Introduction................................................................................................................................. 3 Price Forecasts............................................................................................................................... 12 Oil Price Forecast Range

294

Three Essays on Retail Price Dynamics  

E-Print Network (OSTI)

of Reference Prices . . . . . . . . . . . . . . . . . . . .2.4.5 Reference Prices andChain-Level Prices . . . . . . . . . . . . . .

Elberg, Andres

2010-01-01T23:59:59.000Z

295

Higher Prices from Entry: Pricing of Brand-Name Drugs  

E-Print Network (OSTI)

4 Bertrand and Cartel Prices Vary with z 7T, CS L Figure 5Distance Cumulative Abnormal Price Changes (%) Dissimilarof New Drug Figure 6 Cumulative Unexpected Price Effects

Perloff, Jeffrey M.; Suslow, Valerie Y.; Seguin, Paul J.

1995-01-01T23:59:59.000Z

296

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

297

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

Science Conference Proceedings (OSTI)

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

Bolinger, Mark; Wiser, Ryan; Golove, William

2003-08-13T23:59:59.000Z

298

The Effect of Price Expectations on Auto-Repair Price Quotes  

E-Print Network (OSTI)

We show that price expectations alter outcomes in a negotiated price environment. By experimentally manipulating the price expectations that consumers communicate to firms, we show that consumers price expectations alter outcomes by directly changing firms behavior. We implement a large-scale field experiment in which callers request price quotes from automotive repair shops. We find that repair shops quote higher prices if they know that callers perception of the market price is high. We find that women are quoted higher prices than men when callers signal that they are uninformed about market prices. However, gender differences disappear when callers mention an expected price for the repair. Finally, we find that repair shops are more likely to offer In an environment in which prices customarily are negotiated, it can be difficult and time-consuming for consumers to gather enough information to create a good estimate of the market price. This phenomenon is common to many industries: buying a car entails lengthy negotiations in which dealers want to know about a consumers current vehicle, her financing preferences, the available

Meghan R. Busse; Florian Zettelmeyer

2012-01-01T23:59:59.000Z

299

Volatility and Variance  

Science Conference Proceedings (OSTI)

This report is the culmination of an inquiry into the behavior of energy prices, starting at least as far back as 1992 with passage of the Energy Policy Act and development of a relatively vibrant wholesale electricity market. Prior to about 1997, the volume of literature on energy price modeling was scarce. Many of the insights presented here were learned via trial and error or by painstakingly pondering a seemingly incongruous result. This report attempts to present a distilled and clear summary of the...

2006-11-08T23:59:59.000Z

300

South Carolina Natural Gas Prices  

U.S. Energy Information Administration (EIA)

Natural Gas Prices (Dollars per Thousand Cubic Feet, except where noted) ... History; Pipeline and Distribution Use Price : 1967-2005: Citygate Price: ...

Note: This page contains sample records for the topic "high price volatility" 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

All Price Tables.vp  

Annual Energy Outlook 2012 (EIA)

8. Coal and Retail Electricity Prices and Expenditures, Ranked by State, 2011 Rank Coal Retail Electricity Prices Expenditures Prices Expenditures State Dollars per Million Btu...

302

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.

303

Examination Procedure for Price Verification  

Science Conference Proceedings (OSTI)

... advertised or displayed at the same price that was ... to permit 2 % of products to be inaccurately priced? ... overall quality of a store's pricing practices. ...

2013-06-28T23:59:59.000Z

304

C. Uniform Unit Pricing Regulation  

Science Conference Proceedings (OSTI)

... to permit retail stores that voluntarily provide unit pricing to present prices using various ... with requirements that specify that the unit price is to be ...

2013-10-25T23:59:59.000Z

305

Florida Natural Gas Prices  

U.S. Energy Information Administration (EIA)

Natural Gas Prices (Dollars per Thousand Cubic Feet, except where noted) ... History; Citygate Price: 4.79: 4.68: 4.54: 4.47: 4.26: 4.33: 1989-2013: ...

306

Michigan Natural Gas Prices  

U.S. Energy Information Administration (EIA)

Natural Gas Prices (Dollars per Thousand Cubic Feet, except where noted) Area: ... History; Citygate Price: 4.74: 4.99: 4.52: 4.48: 4.13: NA: ...

307

Maine Natural Gas Prices  

U.S. Energy Information Administration (EIA)

Natural Gas Prices (Dollars per Thousand Cubic Feet, except where noted) ... History; Citygate Price: 6.72: 8.18: 11.03: NA: NA: 7.19: 1989-2013: ...

308

Pennsylvania Natural Gas Prices  

U.S. Energy Information Administration (EIA)

Natural Gas Prices (Dollars per Thousand Cubic Feet, except where noted) ... History; Citygate Price: 6.14: 7.58: 8.34: 7.51: 7.39: 6.16: 1989-2013: ...

309

Alabama Natural Gas Prices  

U.S. Energy Information Administration (EIA)

Natural Gas Prices (Dollars per Thousand Cubic Feet, except where noted) Area: ... History; Citygate Price: 4.81: 5.12: 5.31: 4.92: 4.64: NA: ...

310

Diesel prices decrease  

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

to 3.88 a gallon on Monday. That's down 0.4 cents from a week ago, based on the weekly price survey by the U.S. Energy Information Administration. Diesel prices were highest in...

311

Understanding Crude Oil Prices  

E-Print Network (OSTI)

2004. OPECs Optimal Crude Oil Price, Energy Policy 32(2),Figure 3. Price of crude oil contract maturing December ofbarrels per day. Monthly crude oil production Iran Iraq

Hamilton, James Douglas

2008-01-01T23:59:59.000Z

312

Diesel prices decrease slightly  

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

Diesel prices decrease slightly The U.S. average retail price for on-highway diesel fuel fell slightly to 3.84 a gallon on Monday. That's down 3-tenths of a penny from a week ago,...

313

Diesel prices rise slightly  

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

Diesel prices rise slightly The U.S. average retail price for on-highway diesel fuel rose slightly to 4.16 a gallon on Monday. That's up 2-tenths of a penny from a week ago, based...

314

Diesel prices slightly decrease  

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

3, 2013 Diesel prices slightly decrease The U.S. average retail price for on-highway diesel fuel fell to 3.87 a gallon on Monday. That's down 1.1 cents from a week ago, based on...

315

Diesel prices slightly decrease  

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

Diesel prices slightly decrease The U.S. average retail price for on-highway diesel fuel fell slightly to 3.84 a gallon on Monday. That's down 8-tenths of a penny from a week ago,...

316

Diesel prices increase nationally  

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

Diesel prices increase nationally The U.S. average retail price for on-highway diesel fuel rose to 3.91 a gallon on Monday. That's up 1.3 cents from a week ago, based on the...

317

Retail Propane Prices  

Gasoline and Diesel Fuel Update (EIA)

6 Notes: Consistent with spot prices, residential propane prices have been higher all winter than during the past several years. The recent surge is mainly the result of the surge...

318

Career Services Pricing Information  

Science Conference Proceedings (OSTI)

Job/Resume Posting and Prices Career Services Pricing Information Career Services Career Services chemistry jobs classifieds employment fats global help wanted job Jobs member membership network oils science jobs ...

319

Natural Gas Spot Price Outlook  

Gasoline and Diesel Fuel Update (EIA)

7 of 17 7 of 17 Notes: Despite signs that domestic natural gas production has begun to turn around (the Texas Railroad Commission now reports year-to-date (through Sep.) gains in Texas gas production of 1.2 percent, compared to a 4.7-percent decline for the same months in 1999 versus 1998) the reality of the U.S. gas market is that supply responses have been too little, too late to prevent record-high spot prices and prospects for very high average prices this winter. We now expect to see peak monthly spot wellhead prices this winter of over $6.00 per thousand cubic feet (mcf) (December). Last month we maintained confidence that conditions would improve enough to keep the $5.10 per mcf recorded in October as the peak for this heating season. With partial data available, a monthly average value of about $5.60 per mcf looks likely for

320

EIA Energy Prices  

U.S. Energy Information Administration (EIA)

This publication includes total energy production, consumption, and trade; energy prices; overviews of petroleum, natural gas, coal, electricity, nuclear energy, ...

Note: This page contains sample records for the topic "high price volatility" 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

EIA Oil price timeline  

U.S. Energy Information Administration (EIA)

Crude oil, gasoline, heating oil, diesel, propane, ... Sales, revenue and prices, power plants, fuel use, stocks, generation, trade, demand & emissions.

322

Price Sound Laboratory  

Science Conference Proceedings (OSTI)

Price Sound Laboratory. NVLAP Lab Code: 200874-0. Address and Contact Information: 638 RALEIGH STREET WINNIPEG ...

2013-10-31T23:59:59.000Z

323

Retail Heating Oil and Diesel Fuel Prices  

Gasoline and Diesel Fuel Update (EIA)

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

324

State energy price and expenditure report 1984  

Science Conference Proceedings (OSTI)

The average price paid by US consumers for energy in 1984 was $8.43 per million Btu, down 0.5% from the 1983 average price of $8.47 per million Btu. While the average price changed very little, total expenditures rose 5% from $418 billion in 1983 to $438 billion in 1984 due to increased energy consumption. By energy source, prices showed the most change in petroleum and electricity: the average price paid for petroleum products fell from $7.79 per million Btu in 1983 to $7.62 per million Btu in 1984, and the average price paid for electricity increased from $18.62 per million Btu in 1983 to $19.29 per million Btu in 1984. Expenditures in 1984 hit record high levels for coal, natural gas, nuclear fuel, and electricity, but were 16% below the 1981 peak for petroleum.

Not Available

1986-12-04T23:59:59.000Z

325

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

326

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

327

Wisconsin Natural Gas Prices  

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

Pipeline and Distribution Use Price 1967-2005 Citygate Price 8.04 8.71 6.70 6.14 5.65 4.88 1984-2012 Residential Price 12.02 12.81 10.76 10.34 9.77 9.23 1967-2012 Percentage of...

328

Asymmetric Wholesale Pricing: Theory and Evidence  

Science Conference Proceedings (OSTI)

Asymmetric pricing or asymmetric price adjustment is the phenomenon where prices rise more readily than they fall. We offer and provide empirical support for a new theory of asymmetric pricing in wholesale prices. Wholesale prices may adjust asymmetrically ... Keywords: asymmetric price adjustment, asymmetric pricing, channel of distribution, channel pricing, cost of price adjustment, economic model, menu cost, retailing, scanner data, wholesale price

Sourav Ray; Haipeng (Allan) Chen; Mark E. Bergen; Daniel Levy

2006-03-01T23:59:59.000Z

329

Figure 49. Brent crude oil spot prices in three cases, 1990-2040 ...  

U.S. Energy Information Administration (EIA)

Sheet3 Sheet2 Sheet1 Figure 49. Brent crude oil spot prices in three cases, 1990-2040 (2011 dollars per barrel) Reference High Oil Price Low Oil Price

330

The Influence of a CO2 Pricing Scheme on Distributed Energy Resources in California's Commercial Buildings  

E-Print Network (OSTI)

2010 3.3. Estimated Natural Gas Prices in 2020 All cost datagood estimate for 2020 natural gas price since it was in thethe other hand, 2008 natural gas prices were extremely high

Stadler, Michael

2010-01-01T23:59:59.000Z

331

The Influence of a CO2 Pricing Scheme on Distributed Energy Resources in California's Commercial Buildings  

E-Print Network (OSTI)

3.3. Estimated Natural Gas Prices in 2020 All cost data ingood estimate for 2020 natural gas price since it was in theother hand, 2008 natural gas prices were extremely high due

Stadler, Michael

2010-01-01T23:59:59.000Z

332

Utility spot pricing study : Wisconsin  

E-Print Network (OSTI)

Spot pricing covers a range of electric utility pricing structures which relate the marginal costs of electric generation to the prices seen by utility customers. At the shortest time frames prices change every five ...

Caramanis, Michael C.

1982-01-01T23:59:59.000Z

333

Advanced heat pump for the recovery of volatile organic compounds  

Science Conference Proceedings (OSTI)

Emissions of Volatile Organic Compounds (VOC) from stationary industrial and commercial sources represent a substantial portion of the total US VOC emissions. The Toxic-Release Inventory'' of The US Environmental Protection Agency estimates this to be at about 3 billion pounds per year (1987 estimates). The majority of these VOC emissions are from coating processes, cleaning processes, polymer production, fuel production and distribution, foam blowing,refrigerant production, and wood products production. The US Department of Energy's (DOE) interest in the recovery of VOC stems from the energy embodied in the recovered solvents and the energy required to dispose of them in an environmentally acceptable manner. This Phase I report documents 3M's work in close working relationship with its subcontractor Nuclear Consulting Services (Nucon) for the preliminary conceptual design of an advanced Brayton cycle heat pump for the recovery of VOC. Nucon designed Brayton cycle heat pump for the recovery of methyl ethyl ketone and toluene from coating operations at 3M Weatherford, OK, was used as a base line for the work under cooperative agreement between 3M and ODE. See appendix A and reference (4) by Kovach of Nucon. This cooperative agreement report evaluates and compares an advanced Brayton cycle heat pump for solvent recovery with other competing technologies for solvent recovery and reuse. This advanced Brayton cycle heat pump is simple (very few components), highly reliable (off the shelf components), energy efficient and economically priced.

Not Available

1992-03-01T23:59:59.000Z

334

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

335

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

336

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

337

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

338

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

339

high  

Gasoline and Diesel Fuel Update (EIA)

0 0 Summary Our short-term outlook for a wide array of energy prices has been adjusted upward as international and domestic energy supply conditions have tightened. We think that crude oil prices are as likely as not to end the year $2 to $3 per barrel higher than our previous projections. Thus, we think that the probability of West Texas Intermediate costing an average of $30 per barrel or more at midwinter is about 50 percent. On their current track, heating oil prices are likely to be about 30 percent above year-ago levels in the fourth quarter. Prices for Q1 2001 seem more likely now to match or exceed the high level seen in Q1 2000. Tight oil markets this year and an inherent propensity for high gas utilization in incremental power supply have resulted in rising North American natural gas

340

Montana Natural Gas Prices  

Gasoline and Diesel Fuel Update (EIA)

2007 2008 2009 2010 2011 2012 View 2007 2008 2009 2010 2011 2012 View History Wellhead Price 5.72 7.50 3.16 3.64 1967-2010 Imports Price 6.66 8.22 3.88 4.13 3.75 2.45 1989-2012 Exports Price 6.16 8.14 3.63 4.05 3.82 2.40 1989-2012 Pipeline and Distribution Use Price 1967-2005 Citygate Price 6.42 7.71 5.63 5.17 5.11 4.23 1984-2012 Residential Price 9.91 11.45 9.50 8.64 8.80 8.06 1967-2012 Percentage of Total Residential Deliveries included in Prices 99.9 99.9 99.8 99.8 99.8 99.8 1989-2012 Commercial Price 9.76 11.32 9.41 8.54 8.66 7.98 1967-2012 Percentage of Total Commercial Deliveries included in Prices 78.5 79.6 49.2 54.6 53.3 52.9 1990-2012 Industrial Price 9.75 11.04 9.06 8.07 8.13 7.54 1997-2012 Percentage of Total Industrial Deliveries included in Prices

Note: This page contains sample records for the topic "high price volatility" 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

Louisiana Natural Gas Prices  

Gasoline and Diesel Fuel Update (EIA)

2007 2008 2009 2010 2011 2012 View 2007 2008 2009 2010 2011 2012 View History Wellhead Price 7.02 8.73 3.82 4.23 1967-2010 Imports Price 6.98 9.76 3.89 4.84 7.57 7.98 1989-2012 Exports Price -- -- -- 7.07 9.63 11.80 2007-2012 Pipeline and Distribution Use Price 1967-2005 Citygate Price 7.22 9.58 5.96 5.43 5.67 3.48 1984-2012 Residential Price 14.20 15.49 13.15 11.73 11.37 11.54 1967-2012 Percentage of Total Residential Deliveries included in Prices 100.0 100.0 100.0 100.0 100.0 100.0 1989-2012 Commercial Price 11.83 13.52 10.46 9.88 9.36 8.44 1967-2012 Percentage of Total Commercial Deliveries included in Prices 98.0 98.4 92.0 85.9 83.6 78.0 1990-2012 Industrial Price 7.08 9.32 4.31 4.68 4.25 2.96 1997-2012 Percentage of Total Industrial Deliveries included in Prices

342

Nebraska Natural Gas Prices  

Gasoline and Diesel Fuel Update (EIA)

2007 2008 2009 2010 2011 2012 View 2007 2008 2009 2010 2011 2012 View History Wellhead Price 4.86 6.22 2.97 3.98 1967-2010 Pipeline and Distribution Use Price 1967-2005 Citygate Price 7.67 8.12 5.87 5.62 5.11 4.31 1984-2012 Residential Price 11.15 11.11 9.34 8.95 8.84 8.68 1967-2012 Percentage of Total Residential Deliveries included in Prices 85.7 87.1 87.8 87.4 87.3 85.8 1989-2012 Commercial Price 9.16 9.62 7.44 7.08 6.69 6.19 1967-2012 Percentage of Total Commercial Deliveries included in Prices 63.9 57.5 61.3 60.6 60.6 55.8 1990-2012 Industrial Price 7.97 9.12 6.02 5.85 5.61 4.34 1997-2012 Percentage of Total Industrial Deliveries included in Prices 9.7 10.2 8.9 8.2 7.6 6.8 1997-2012 Vehicle Fuel Price 15.10 15.29 1994-2012 Electric Power Price

343

Average Residential Price  

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

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

344

Average Residential Price  

Gasoline and Diesel Fuel Update (EIA)

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

345

Average Commercial Price  

Gasoline and Diesel Fuel Update (EIA)

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

346

Energy prices, production  

E-Print Network (OSTI)

on 0 1 2 3 4 5 6 7 8 9 price U K P ./kW h CHP adoption electyricity price to gas price ratio Figure 3. Energy price and CHP annual adoption (UK). Source: DTI (2002b) -5.00% 0.00% 5.00% 10.00% 15.00% 20... .00% 199119921993199419951996199719981999200020012002 an nu al g ro w th r at e in C H P a do pt io n 0 0.2 0.4 0.6 0.8 1 1.2 1.4 price U K P ./kW h CHP adoption Gas price 10 Gas prices leveled off from 1996 onwards and then increased considerably growing by 33% during 1999-2002. In recent...

Bonilla, David

347

Consumer Prices During  

Gasoline and Diesel Fuel Update (EIA)

City Gate City Gate City gate prices represent the total cost paid by gas distribu- tion companies for gas received at the point where the gas is physically transferred from a pipeline company or trans- mission system. This price is intended to reflect all charges for the acquisition, storage, and transportation of gas as well as other charges associated with the LDC's obtaining the gas for sale to consumers. Prices paid at the city gate by local distribution companies rose substantially between 1995 and 1996, climbing from $2.78 per thousand cubic feet to $3.27, an increase of 18 percent. Residential Residential consumers pay the highest price for natural gas. It increased to $6.34 per thousand cubic feet from the 1995 price of $6.06 per thousand cubic feet. However, the 1996 price was 1 percent lower than the 1994 price. In recent years, only modest changes in constant dollars have been

348

Connecticut Gasoline Price Data  

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

Connecticut Connecticut Exit Fueleconomy.gov The links below are to pages that are not part of the fueleconomy.gov. We offer these external links for your convenience in accessing additional information that may be useful or interesting to you. Selected Cities Bridgeport BridgeportGasPrices.com Automotive.com MapQuest.com Hartford HartfordGasPrices.com Automotive.com MapQuest.com New Haven NewHavenGasPrices.com Automotive.com MapQuest.com Stamford Automotive.com MapQuest.com Waterbury Automotive.com MapQuest.com West Hartford Automotive.com MapQuest.com Other Connecticut Cities ConnecticutGasPrices.com (search by city or ZIP code) - GasBuddy.com Connecticut Gas Prices (selected cities) - GasBuddy.com Connecticut Gas Prices (organized by county) - Automotive.com Gas Prices of the United States: Connecticut Cities - MapQuest

349

The welfare effects of raising household energy prices in Poland  

Science Conference Proceedings (OSTI)

We examine the welfare effects from increasing household energy prices in Poland. Subsidizing household energy prices, common in the transition economies, is shown to be highly regressive. The wealthy spend a larger portion of their income on energy and consume more energy in absolute terms. We therefore rule out the oft-used social welfare argument for delaying household energy price increases. Raising prices, while targeting relief to the poor through a social assistance program is the first-best response. However, if governments want to ease the adjustment, several options are open, including: in-kind transfers to the poor, vouchers, in-cash transfers, and lifeline pricing for electricity. Our simulations show that if raising prices to efficient levels is not politically feasible at present and social assistance targeting is sufficiently weak, it may be socially better to use lifeline pricing and a large price increase than an overall, but smaller, price increase.

Freund, C.L. [Columbia Univ., New York, NY (United States); Wallich, C.I. [World Bank, Washington, DC (United States)

1996-06-01T23:59:59.000Z

350

Propane Prices Influenced by Crude Oil and Natural Gas  

Gasoline and Diesel Fuel Update (EIA)

6 6 Notes: Propane prices have been high this year for several reasons. Propane usually follows crude oil prices more closely than natural gas prices. As crude oil prices rose beginning in 1999, propane has followed. In addition, some early cold weather this year put extra pressure on prices. However, more recently, the highly unusual surge in natural gas prices affected propane supply and drove propane prices up. Propane comes from two sources of supply: refineries and natural gas processing plants. The very high natural gas prices made it more economic for refineries to use the propane they normally produce and sell than to buy natural gas. The gas processing plants found it more economic to leave propane in the natural gas streams than to extract it for sale separately.

351

Classification of Volatile Engine Particles  

Science Conference Proceedings (OSTI)

Volatile particles cannot be detected at the engine exhaust by an aerosol detector. They are formed when the exhaust is mixed with ambient air downstream. Lack of a precise definition of volatile engine particles has been an impediment to engine manufacturers and regulatory agencies involved in the development of an effective control strategy. It is beyond doubt that volatile particles from combustion sources contribute to the atmospheric particulate burden, and the effect of that contribution is a critical issue in the ongoing research in the areas of air quality and climate change. A new instrument, called volatile particle separator (VPS), has been developed. It utilizes a proprietary microporous metallic membrane to separate particles from vapors. VPS data were used in the development of a two-parameter function to quantitatively classify, for the first time, the volatilization behavior of engine particles. The value of parameter A describes the volatilization potential of an aerosol. A nonvolatile particle has a larger A-value than a volatile one. The value of parameter k, an effective evaporation energy barrier, is found to be much smaller for small engine particles than that for large engine particles. The VPS instrument provides a means beyond just being a volatile particle remover; it enables a numerical definition to characterize volatile engine particles.

Cheng, Mengdawn [ORNL

2013-01-01T23:59:59.000Z

352

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

353

November 2010The Weak Tie Between Natural Gas and Oil Prices  

E-Print Network (OSTI)

Abstract: Several recent studies establish that crude oil and natural gas prices are cointegrated. Yet at times in the past, and very powerfully in the last two years, many voices have noted that the two price series appear to have decoupled. We explore the apparent contradiction between these two views. We find that recognition of the statistical fact of cointegration needs to be tempered with two additional points. First, there is an enormous amount of unexplained volatility in natural gas prices at short horizons. Hence, any simple formulaic relationship between the prices will leave a large portion of the natural gas price unexplained. Second, the cointegrating relationship does not appear to be stable through time. The prices may be tied, but the relationship can shift dramatically over time. Therefore, although the two price series may be cointegrated, the confidence intervals for both short and long time horizons are large.

David J. Ramberg; John E. Parsons; David J. Ramberg; John E. Parsons

2010-01-01T23:59:59.000Z

354

Maryland Natural Gas Prices  

Gasoline and Diesel Fuel Update (EIA)

2007 2008 2009 2010 2011 2012 View 2007 2008 2009 2010 2011 2012 View History Wellhead Price NA NA NA NA 1967-2010 Imports Price 7.25 9.09 4.05 5.37 5.30 13.82 1999-2012 Pipeline and Distribution Use Price 1967-2005 Citygate Price 9.24 10.23 8.02 6.49 6.26 5.67 1984-2012 Residential Price 15.17 16.07 13.73 12.44 12.10 12.17 1967-2012 Percentage of Total Residential Deliveries included in Prices 100.0 100.0 100.0 100.0 79.3 77.0 1989-2012 Commercial Price 12.30 13.12 10.87 9.87 10.29 10.00 1967-2012 Percentage of Total Commercial Deliveries included in Prices 100.0 100.0 100.0 100.0 27.3 24.7 1990-2012 Industrial Price 11.59 13.46 10.70 9.05 8.61 8.01 1997-2012 Percentage of Total Industrial Deliveries included in Prices 7.8 6.3 5.3 5.3 5.5 5.1 1997-2012

355

Alabama Natural Gas Prices  

Gasoline and Diesel Fuel Update (EIA)

2007 2008 2009 2010 2011 2012 View 2007 2008 2009 2010 2011 2012 View History Wellhead Price 7.44 9.65 4.32 4.46 1967-2010 Pipeline and Distribution Use Price 1967-2005 Citygate Price 8.78 9.84 7.61 6.46 5.80 5.18 1984-2012 Residential Price 18.14 18.30 18.12 15.79 15.08 16.20 1967-2012 Percentage of Total Residential Deliveries included in Prices 100.0 100.0 100.0 100.0 100.0 100.0 1989-2012 Commercial Price 15.06 15.58 14.94 13.34 12.36 12.55 1967-2012 Percentage of Total Commercial Deliveries included in Prices 79.8 80.2 78.8 79.3 78.9 76.2 1990-2012 Industrial Price 8.70 10.57 6.48 6.64 5.57 4.35 1997-2012 Percentage of Total Industrial Deliveries included in Prices 24.0 27.2 27.9 23.7 23.5 22.1 1997-2012 Vehicle Fuel Price -- 17.32 19.17 16.24 11.45 17.99 1990-2012

356

Massachusetts Natural Gas Prices  

Gasoline and Diesel Fuel Update (EIA)

2007 2008 2009 2010 2011 2012 View 2007 2008 2009 2010 2011 2012 View History Imports Price 7.32 10.34 5.90 4.86 4.77 3.69 1989-2012 Pipeline and Distribution Use Price 1967-2005 Citygate Price 9.34 10.29 8.29 7.74 7.04 6.03 1984-2012 Residential Price 16.99 17.18 14.85 14.53 13.81 13.22 1967-2012 Percentage of Total Residential Deliveries included in Prices 99.9 85.0 85.6 85.4 89.3 87.8 1989-2012 Commercial Price 15.08 15.25 12.85 12.00 11.68 10.68 1967-2012 Percentage of Total Commercial Deliveries included in Prices 65.3 57.9 56.9 52.1 50.0 48.6 1990-2012 Industrial Price 14.83 15.23 12.07 10.41 10.14 9.82 1997-2012 Percentage of Total Industrial Deliveries included in Prices 29.9 20.6 21.1 19.4 20.6 17.7 1997-2012 Vehicle Fuel Price 12.84 13.80 12.99 12.48 4.28 14.81 1990-2012

357

Vermont Natural Gas Prices  

Gasoline and Diesel Fuel Update (EIA)

2007 2008 2009 2010 2011 2012 View 2007 2008 2009 2010 2011 2012 View History Imports Price 8.51 9.74 6.34 6.54 5.81 4.90 1989-2012 Pipeline and Distribution Use Price 1982-2005 Citygate Price 10.03 10.66 9.33 8.29 7.98 6.63 1984-2012 Residential Price 15.99 18.31 17.29 16.14 16.17 16.73 1980-2012 Percentage of Total Residential Deliveries included in Prices 100.0 100.0 100.0 100.0 100.0 100.0 1989-2012 Commercial Price 12.79 14.31 12.96 11.82 11.90 12.09 1980-2012 Percentage of Total Commercial Deliveries included in Prices 100 100 100 100 100 100 1990-2012 Industrial Price 9.08 9.60 7.93 6.57 6.09 4.89 1997-2012 Percentage of Total Industrial Deliveries included in Prices 78.0 79.6 77.9 77.1 80.9 100.0 1997-2012 Electric Power Price 7.72 9.14 5.66 5.73 5.26 4.14 1997-2012

358

Pennsylvania Natural Gas Prices  

Gasoline and Diesel Fuel Update (EIA)

2007 2008 2009 2010 2011 2012 View 2007 2008 2009 2010 2011 2012 View History Wellhead Price NA NA NA NA 1967-2010 Pipeline and Distribution Use Price 1967-2005 Citygate Price 9.35 10.39 7.81 7.04 6.28 5.52 1984-2012 Residential Price 14.66 16.22 14.74 12.90 12.46 11.99 1967-2012 Percentage of Total Residential Deliveries included in Prices 100.0 100.0 100.0 100.0 91.2 88.6 1989-2012 Commercial Price 12.77 14.29 11.83 10.47 10.42 10.24 1967-2012 Percentage of Total Commercial Deliveries included in Prices 100.0 100.0 100.0 100.0 48.5 42.1 1990-2012 Industrial Price 10.64 12.09 9.19 8.23 9.86 9.58 1997-2012 Percentage of Total Industrial Deliveries included in Prices 5.4 5.7 4.5 3.8 2.0 1.3 1997-2012 Vehicle Fuel Price 10.83 8.30 5.15 3.76 3.40 7.96 1990-2012

359

Indiana Natural Gas Prices  

Gasoline and Diesel Fuel Update (EIA)

2007 2008 2009 2010 2011 2012 View 2007 2008 2009 2010 2011 2012 View History Wellhead Price 5.78 7.58 4.05 4.13 1967-2010 Pipeline and Distribution Use Price 1967-2005 Citygate Price 7.83 8.94 5.59 5.52 4.97 4.23 1984-2012 Residential Price 11.29 12.65 10.81 8.63 9.46 8.94 1967-2012 Percentage of Total Residential Deliveries included in Prices 96.2 95.0 93.6 94.1 94.6 94.5 1989-2012 Commercial Price 10.20 11.14 9.18 7.55 8.04 7.68 1967-2012 Percentage of Total Commercial Deliveries included in Prices 78.1 77.9 73.9 72.5 70.2 67.5 1990-2012 Industrial Price 8.45 10.48 6.91 5.65 6.53 6.19 1997-2012 Percentage of Total Industrial Deliveries included in Prices 7.4 6.7 7.0 5.6 3.5 1.9 1997-2012 Vehicle Fuel Price 6.09 7.94 4.08 5.19 13.24 12.29 1990-2012

360

Florida Natural Gas Prices  

Gasoline and Diesel Fuel Update (EIA)

2007 2008 2009 2010 2011 2012 View 2007 2008 2009 2010 2011 2012 View History Wellhead Price NA NA NA NA 1967-2010 Pipeline and Distribution Use Price 1967-2005 Citygate Price 7.97 9.73 5.76 5.49 5.07 3.93 1984-2012 Residential Price 20.61 21.07 20.18 17.89 18.16 18.31 1967-2012 Percentage of Total Residential Deliveries included in Prices 100.0 100.0 100.0 100.0 98.0 97.7 1989-2012 Commercial Price 13.07 14.45 11.09 10.60 11.14 10.41 1967-2012 Percentage of Total Commercial Deliveries included in Prices 100.0 100.0 100.0 100.0 38.5 37.0 1990-2012 Industrial Price 10.56 11.72 9.41 8.33 8.07 6.96 1997-2012 Percentage of Total Industrial Deliveries included in Prices 3.1 3.0 3.2 3.0 3.0 2.7 1997-2012 Vehicle Fuel Price 12.82 15.56 13.16 17.98 5.56 9.83 1989-2012

Note: This page contains sample records for the topic "high price volatility" 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

Utah Gasoline Price Data  

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

Utah Utah Exit Fueleconomy.gov The links below are to pages that are not part of the fueleconomy.gov. We offer these external links for your convenience in accessing additional information that may be useful or interesting to you. Selected Cities Layton LaytonGasPrices.com Automotive.com MapQuest.com Ogden OgdenGasPrices.com Automotive.com MapQuest.com Orem OremGasPrices.com Automotive.com MapQuest.com Provo ProvoGasPrices.com Automotive.com MapQuest.com Salt Lake City SaltLakeCityGasPrices.com Automotive.com MapQuest.com Sandy SandyGasPrices.com Automotive.com MapQuest.com West Jordan WestJordanGasPrices.com Automotive.com MapQuest.com West Valley City WestValleyCityGasPrices.com Other Utah Cities UtahGasPrices.com (search by city or ZIP code) - GasBuddy.com Utah Gas Prices (selected cities) - GasBuddy.com

362

Connecticut Natural Gas Prices  

Gasoline and Diesel Fuel Update (EIA)

2007 2008 2009 2010 2011 2012 View 2007 2008 2009 2010 2011 2012 View History Pipeline and Distribution Use Price 1967-2005 Citygate Price 8.67 10.24 6.81 6.58 5.92 5.12 1984-2012 Residential Price 16.39 17.85 14.81 14.93 13.83 14.17 1967-2012 Percentage of Total Residential Deliveries included in Prices 98.2 97.7 97.5 97.3 96.8 96.7 1989-2012 Commercial Price 12.61 13.81 9.92 9.55 8.48 8.40 1967-2012 Percentage of Total Commercial Deliveries included in Prices 71.5 70.7 69.0 65.4 65.4 65.1 1990-2012 Industrial Price 10.54 12.63 8.44 9.60 9.16 8.83 1997-2012 Percentage of Total Industrial Deliveries included in Prices 50.0 47.3 37.5 31.1 31.0 32.3 1997-2012 Vehicle Fuel Price 20.57 24.04 15.26 16.31 18.59 13.70 1992-2012 Electric Power Price 7.81 10.48 4.89 5.70 5.09 3.99 1997-2012

363

Oregon Natural Gas Prices  

Gasoline and Diesel Fuel Update (EIA)

2007 2008 2009 2010 2011 2012 View 2007 2008 2009 2010 2011 2012 View History Wellhead Price 5.27 5.33 4.00 4.92 1979-2010 Pipeline and Distribution Use Price 1967-2005 Citygate Price 8.14 8.82 7.79 6.78 5.84 5.21 1984-2012 Residential Price 14.65 13.89 14.52 12.49 11.76 11.22 1967-2012 Percentage of Total Residential Deliveries included in Prices 100.0 100.0 100.0 100.0 100.0 100.0 1989-2012 Commercial Price 12.36 11.57 11.86 10.10 9.60 8.91 1967-2012 Percentage of Total Commercial Deliveries included in Prices 98.5 98.5 98.4 97.4 97.4 96.9 1990-2012 Industrial Price 9.30 9.07 9.70 7.05 6.84 5.87 1997-2012 Percentage of Total Industrial Deliveries included in Prices 21.8 20.1 18.9 17.1 17.1 16.7 1997-2012 Vehicle Fuel Price 6.59 8.03 7.11 5.61 4.23 4.57 1992-2012

364

Arizona Natural Gas Prices  

Gasoline and Diesel Fuel Update (EIA)

2007 2008 2009 2010 2011 2012 View 2007 2008 2009 2010 2011 2012 View History Wellhead Price 5.98 7.09 3.19 4.11 1967-2010 Exports Price 6.94 8.09 3.79 4.57 4.28 3.07 1989-2012 Pipeline and Distribution Use Price 1967-2005 Citygate Price 8.25 8.49 7.21 6.59 5.91 4.68 1984-2012 Residential Price 17.21 17.60 17.65 15.87 15.04 15.75 1967-2012 Percentage of Total Residential Deliveries included in Prices 100.0 100.0 100.0 100.0 100.0 100.0 1989-2012 Commercial Price 12.84 13.01 12.15 10.72 9.99 9.35 1967-2012 Percentage of Total Commercial Deliveries included in Prices 93.4 93.1 88.0 88.7 87.8 86.6 1990-2012 Industrial Price 10.49 10.47 8.19 7.54 6.86 5.78 1997-2012 Percentage of Total Industrial Deliveries included in Prices 31.3 29.6 29.1 25.5 24.2 21.4 1997-2012

365

Colorado Natural Gas Prices  

Gasoline and Diesel Fuel Update (EIA)

2007 2008 2009 2010 2011 2012 View 2007 2008 2009 2010 2011 2012 View History Wellhead Price 4.57 6.94 3.21 3.96 1967-2010 Pipeline and Distribution Use Price 1967-2005 Citygate Price 6.23 6.98 5.09 5.26 4.94 4.26 1984-2012 Residential Price 8.84 9.77 8.80 8.13 8.25 8.31 1967-2012 Percentage of Total Residential Deliveries included in Prices 100.0 100.0 100.0 100.0 100.0 100.0 1989-2012 Commercial Price 8.10 9.01 7.56 7.58 7.84 7.58 1967-2012 Percentage of Total Commercial Deliveries included in Prices 95.7 95.2 94.8 94.6 93.8 92.2 1990-2012 Industrial Price 7.21 8.76 6.57 5.84 6.42 5.79 1997-2012 Percentage of Total Industrial Deliveries included in Prices 0.5 0.6 0.5 5.2 7.5 6.8 1997-2012 Vehicle Fuel Price 8.72 13.57 9.12 10.79 9.56 11.65 1990-2012

366

Alaska Natural Gas Prices  

Gasoline and Diesel Fuel Update (EIA)

2007 2008 2009 2010 2011 2012 View 2007 2008 2009 2010 2011 2012 View History Wellhead Price 5.63 7.39 2.93 3.17 1967-2010 Exports Price 6.21 7.69 8.59 12.19 12.88 15.71 1989-2012 Pipeline and Distribution Use Price 1970-2005 Citygate Price 6.75 6.74 8.22 6.67 6.53 6.14 1988-2012 Residential Price 8.68 8.72 10.23 8.89 8.77 8.47 1967-2012 Percentage of Total Residential Deliveries included in Prices 100.0 100.0 100.0 100.0 100.0 100.0 1989-2012 Commercial Price 7.57 8.66 9.51 8.78 8.09 8.09 1967-2012 Percentage of Total Commercial Deliveries included in Prices 76.0 74.9 85.3 87.7 88.6 94.9 1990-2012 Industrial Price 4.67 5.49 4.02 4.23 3.84 5.11 1997-2012 Percentage of Total Industrial Deliveries included in Prices 70.0 78.2 72.5 70.5 60.8 100.0 1997-2012

367

Kansas Natural Gas Prices  

Gasoline and Diesel Fuel Update (EIA)

2007 2008 2009 2010 2011 2012 View 2007 2008 2009 2010 2011 2012 View History Wellhead Price 5.69 6.85 3.16 4.23 1967-2010 Pipeline and Distribution Use Price 1967-2005 Citygate Price 8.27 8.85 6.12 6.08 5.53 4.74 1984-2012 Residential Price 12.97 13.00 11.10 10.61 9.93 10.13 1967-2012 Percentage of Total Residential Deliveries included in Prices 100.0 100.0 100.0 100.0 100.0 100.0 1989-2012 Commercial Price 12.04 12.24 10.01 9.65 8.89 8.82 1967-2012 Percentage of Total Commercial Deliveries included in Prices 64.8 64.9 65.7 66.0 62.6 59.7 1990-2012 Industrial Price 7.17 9.42 4.59 5.49 5.28 3.95 1997-2012 Percentage of Total Industrial Deliveries included in Prices 5.9 7.8 6.7 7.0 9.5 8.8 1997-2012 Vehicle Fuel Price -- -- -- -- 9.87 9.00 1994-2012

368

Missouri Natural Gas Prices  

Gasoline and Diesel Fuel Update (EIA)

2007 2008 2009 2010 2011 2012 View 2007 2008 2009 2010 2011 2012 View History Wellhead Price 1967-1997 Pipeline and Distribution Use Price 1967-2005 Citygate Price 7.53 8.03 7.06 6.17 5.85 5.27 1984-2012 Residential Price 13.42 13.36 12.61 11.66 12.02 12.25 1967-2012 Percentage of Total Residential Deliveries included in Prices 100.0 100.0 100.0 100.0 100.0 100.0 1989-2012 Commercial Price 11.82 12.02 10.81 10.28 9.99 9.54 1967-2012 Percentage of Total Commercial Deliveries included in Prices 76.9 77.5 76.7 76.5 73.1 69.2 1990-2012 Industrial Price 10.84 11.32 9.55 8.70 8.54 7.93 1997-2012 Percentage of Total Industrial Deliveries included in Prices 12.8 13.9 13.2 13.1 13.4 12.5 1997-2012 Vehicle Fuel Price 8.44 8.66 7.86 6.34 6.11 5.64 1994-2012

369

Arkansas Natural Gas Prices  

Gasoline and Diesel Fuel Update (EIA)

2007 2008 2009 2010 2011 2012 View 2007 2008 2009 2010 2011 2012 View History Wellhead Price 6.61 8.72 3.43 3.84 1967-2010 Pipeline and Distribution Use Price 1967-2005 Citygate Price 8.55 8.88 7.86 6.76 6.27 5.36 1984-2012 Residential Price 13.08 14.09 13.39 11.53 11.46 11.82 1967-2012 Percentage of Total Residential Deliveries included in Prices 100.0 100.0 100.0 100.0 100.0 100.0 1989-2012 Commercial Price 10.07 11.32 10.72 8.89 8.90 7.99 1967-2012 Percentage of Total Commercial Deliveries included in Prices 70.4 64.5 59.4 55.6 51.5 40.2 1990-2012 Industrial Price 9.51 10.56 8.44 7.28 7.44 6.38 1997-2012 Percentage of Total Industrial Deliveries included in Prices 4.2 3.9 3.7 2.8 2.1 1.9 1997-2012 Vehicle Fuel Price 8.39 -- -- -- -- 9.04 1994-2012

370

Iowa Natural Gas Prices  

Gasoline and Diesel Fuel Update (EIA)

2007 2008 2009 2010 2011 2012 View 2007 2008 2009 2010 2011 2012 View History Pipeline and Distribution Use Price 1967-2005 Citygate Price 7.80 8.28 5.62 5.69 5.27 4.84 1984-2012 Residential Price 11.76 11.91 9.83 9.57 9.54 9.46 1967-2012 Percentage of Total Residential Deliveries included in Prices 100.0 100.0 100.0 100.0 100.0 100.0 1989-2012 Commercial Price 9.97 10.25 7.88 7.81 7.55 7.13 1967-2012 Percentage of Total Commercial Deliveries included in Prices 77.7 75.8 72.5 72.0 72.1 72.3 1990-2012 Industrial Price 8.56 9.32 6.23 6.10 5.78 4.70 1997-2012 Percentage of Total Industrial Deliveries included in Prices 6.5 6.6 6.4 5.8 5.5 5.2 1997-2012 Vehicle Fuel Price 11.68 -- -- -- -- -- 1990-2012 Electric Power Price 7.73 W W W W 3.84 1997-2012

371

Maine Natural Gas Prices  

Gasoline and Diesel Fuel Update (EIA)

2007 2008 2009 2010 2011 2012 View 2007 2008 2009 2010 2011 2012 View History Imports Price 7.57 9.77 4.48 4.94 4.40 3.45 1999-2012 Exports Price -- -- 5.62 4.53 4.46 4.30 2007-2012 Pipeline and Distribution Use Price 1967-2005 Citygate Price 10.46 13.47 8.64 8.19 8.14 7.73 1984-2012 Residential Price 16.90 17.47 16.43 14.14 14.20 15.94 1967-2012 Percentage of Total Residential Deliveries included in Prices 100.0 100.0 100.0 99.9 100.0 100.0 1989-2012 Commercial Price 14.82 15.87 13.94 11.71 11.69 12.22 1967-2012 Percentage of Total Commercial Deliveries included in Prices 46.2 45.0 51.0 45.0 45.8 42.1 1990-2012 Industrial Price 13.40 14.89 9.12 11.23 10.89 10.35 1997-2012 Percentage of Total Industrial Deliveries included in Prices 0.8 0.8 1.2 0.6 0.5 0.4 1997-2012

372

Idaho Natural Gas Prices  

Gasoline and Diesel Fuel Update (EIA)

2007 2008 2009 2010 2011 2012 View 2007 2008 2009 2010 2011 2012 View History Imports Price 6.31 7.88 3.86 4.19 3.90 2.59 1989-2012 Exports Price -- 7.43 4.49 5.85 4.74 -- 1999-2012 Pipeline and Distribution Use Price 1967-2005 Citygate Price 6.68 7.48 5.63 4.82 4.65 4.07 1984-2012 Residential Price 11.47 11.07 10.54 8.95 8.80 8.26 1967-2012 Percentage of Total Residential Deliveries included in Prices 100.0 100.0 100.0 100.0 100.0 100.0 1989-2012 Commercial Price 10.67 10.28 9.77 8.21 8.09 7.35 1967-2012 Percentage of Total Commercial Deliveries included in Prices 84.8 86.0 83.7 82.0 80.8 77.0 1990-2012 Industrial Price 9.39 9.18 8.53 6.39 6.36 5.73 1997-2012 Percentage of Total Industrial Deliveries included in Prices 2.0 1.9 1.7 1.8 2.0 1.9 1997-2012

373

prices | OpenEI  

Open Energy Info (EERE)

prices prices Dataset Summary Description This dataset comes from the Energy Information Administration (EIA), and is part of the 2011 Annual Energy Outlook Report (AEO2011). This dataset is Table 12, and contains only the reference case. The dataset uses 2009 dollars per gallon. The data is broken down into crude oil prices, residential, commercial, industrial, transportation, electric power and refined petroleum product prices. Source EIA Date Released April 26th, 2011 (3 years ago) Date Updated Unknown Keywords 2011 AEO EIA Petroleum prices Data application/vnd.ms-excel icon AEO2011: Petroleum Product Prices- Reference Case (xls, 129.9 KiB) Quality Metrics Level of Review Peer Reviewed Comment Temporal and Spatial Coverage Frequency Annually Time Period 2008-2035

374

Main elements for pig price forecasting A. VIGNE M. RIEU  

E-Print Network (OSTI)

Main elements for pig price forecasting A. VIGNE M. RIEU I.T.P., Service Economie, 34, boulevard de the analysis of the past results. Forecasting consists in modelizing each component of pig price from la Gare, 31500 Toulouse The highly fluctuating variation of pig prices results from several

Recanati, Catherine

375

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

376

How regulators should use natural gas price forecasts  

Science Conference Proceedings (OSTI)

Natural gas prices are critical to a range of regulatory decisions covering both electric and gas utilities. Natural gas prices are often a crucial variable in electric generation capacity planning and in the benefit-cost relationship for energy-efficiency programs. High natural gas prices can make coal generation the most economical new source, while low prices can make natural gas generation the most economical. (author)

Costello, Ken

2010-08-15T23:59:59.000Z

377

Michigan Gasoline Price Data  

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

Michigan Michigan Exit Fueleconomy.gov The links below are to pages that are not part of the fueleconomy.gov. We offer these external links for your convenience in accessing additional information that may be useful or interesting to you. Selected Cities Ann Arbor AnnArborGasPrices.com Automotive.com MapQuest.com Battle Creek BattleCreekGasPrices.com Automotive.com MapQuest.com Detroit DetroitGasPrices.com Automotive.com MapQuest.com Flint FlintGasPrices.com Automotive.com MapQuest.com Grand Rapids GrandRapidsGasPrices.com Automotive.com MapQuest.com Kalamazoo KalamazooGasPrices.com Automotive.com MapQuest.com Lansing LansingGasPrices.com Automotive.com MapQuest.com Sterling Heights SterlingHeightsGasPrices.com Automotive.com MapQuest.com Other Michigan Cities MichiganGasPrices.com (search by city or ZIP code) - GasBuddy.com

378

Iowa Gasoline Price Data  

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

Iowa Iowa Exit Fueleconomy.gov The links below are to pages that are not part of the fueleconomy.gov. We offer these external links for your convenience in accessing additional information that may be useful or interesting to you. Selected Cities Ames AmesGasPrices.com Automotive.com MapQuest.com Cedar Rapids CedarRapidsGasPrices.com Automotive.com MapQuest.com Council Bluffs CouncilBluffsGasPrices.com Automotive.com MapQuest.com Des Moines DesMoinesGasPrices.com Automotive.com MapQuest.com Dubuque DubuqueGasPrices.com Automotive.com MapQuest.com Iowa City IowaCityGasPrices.com Automotive.com MapQuest.com Quad Cities QuadCitiesGasPrices.com Sioux City SiouxCityGasPrices.com Automotive.com MapQuest.com Waterloo WaterlooGasPrices.com Automotive.com MapQuest.com Other Iowa Cities

379

Louisiana Gasoline Price Data  

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

Louisiana Louisiana Exit Fueleconomy.gov The links below are to pages that are not part of the fueleconomy.gov. We offer these external links for your convenience in accessing additional information that may be useful or interesting to you. Selected Cities Baton Rouge BatonRougeGasPrices.com Automotive.com MapQuest.com Lafayette LafayetteGasPrices.com Automotive.com MapQuest.com Lake Charles LakeCharlesGasPrices.com Automotive.com MapQuest.com Metairie MetairieGasPrices.com Automotive.com MapQuest.com Monroe MonroeGasPrices.com Automotive.com MapQuest.com New Orleans NewOrleansGasPrices.com Automotive.com Mapquest.com Shreveport ShreveportGasPrices.com Automotive.com MapQuest.com Other Louisiana Cities LouisianaGasPrices.com (search by city or ZIP code) - GasBuddy.com Louisiana Gas Prices (selected cities) - GasBuddy.com

380

Utah Natural Gas Prices  

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 in ...

Note: This page contains sample records for the topic "high price volatility" 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

Crude Price & Differential  

U.S. Energy Information Administration (EIA)

... , making it more competitive with other boiler fuels, and the price of residual fuel relative to crude oil increases. Thus, both the light ...

382

,"Wisconsin Natural Gas Prices"  

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

Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Wisconsin Natural Gas Prices",8,"Monthly","72013","1151989" ,"Release Date:","9302013"...

383

,"Texas Natural Gas Prices"  

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

,"Workbook Contents" ,"Texas Natural Gas Prices" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description"," Of Series","Frequency","Latest Data for"...

384

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 ...

385

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...

386

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...

387

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...

388

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...

389

Natural Gas Exports Price  

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 in ...

390

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:...

391

Colorado Natural Gas Prices  

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 in ...

392

Retail Propane Prices  

Gasoline and Diesel Fuel Update (EIA)

19 Notes: Residential propane prices rose fairly strongly during the 1999-2000 heating season, gaining nearly 25 cents per gallon between October and March. Unfortunately,...

393

CA Following World Prices  

U.S. Energy Information Administration (EIA)

Light-heavy crude differentials fell and stayed down until the later part of 1997. Crude prices continued to weaken, but the light heavy difference ...

394

,"Wyoming Natural Gas Prices"  

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

ame","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Wyoming Natural Gas Prices",11,"Annual",2012,"6301967" ,"Release Date:","10312013" ,"Next Release...

395

,"Iowa Natural Gas Prices"  

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

Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Iowa Natural Gas Prices",10,"Annual",2012,"6301967" ,"Release Date:","10312013" ,"Next Release...

396

,"Nebraska Natural Gas Prices"  

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

Of Series","Frequency","Latest Data for" ,"Data 1","Nebraska Natural Gas Prices",11,"Annual",2012,"6301967" ,"Release Date:","10312013" ,"Next Release...

397

,"Vermont Natural Gas Prices"  

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

ame","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Vermont Natural Gas Prices",10,"Annual",2012,"6301980" ,"Release Date:","10312013" ,"Next Release...

398

,"Ohio Natural Gas Prices"  

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

Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Ohio Natural Gas Prices",11,"Annual",2012,"6301967" ,"Release Date:","10312013" ,"Next Release...

399

,"California Natural Gas Prices"  

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

Of Series","Frequency","Latest Data for" ,"Data 1","California Natural Gas Prices",13,"Annual",2012,"6301967" ,"Release Date:","10312013" ,"Next Release...

400

,"Wisconsin Natural Gas Prices"  

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

Of Series","Frequency","Latest Data for" ,"Data 1","Wisconsin Natural Gas Prices",10,"Annual",2012,"6301967" ,"Release Date:","10312013" ,"Next Release...

Note: This page contains sample records for the topic "high price volatility" 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

,"Maryland Natural Gas Prices"  

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

Of Series","Frequency","Latest Data for" ,"Data 1","Maryland Natural Gas Prices",12,"Annual",2012,"6301967" ,"Release Date:","10312013" ,"Next Release...

402

,"Michigan Natural Gas Prices"  

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

Of Series","Frequency","Latest Data for" ,"Data 1","Michigan Natural Gas Prices",13,"Annual",2012,"6301967" ,"Release Date:","10312013" ,"Next Release...

403

,"Illinois Natural Gas Prices"  

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

Of Series","Frequency","Latest Data for" ,"Data 1","Illinois Natural Gas Prices",11,"Annual",2012,"6301967" ,"Release Date:","10312013" ,"Next Release...

404

,"Kansas Natural Gas Prices"  

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

Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Kansas Natural Gas Prices",11,"Annual",2012,"6301967" ,"Release Date:","10312013" ,"Next Release...

405

,"Arkansas Natural Gas Prices"  

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

Of Series","Frequency","Latest Data for" ,"Data 1","Arkansas Natural Gas Prices",11,"Annual",2012,"6301967" ,"Release Date:","10312013" ,"Next Release...

406

,"Texas Natural Gas Prices"  

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

Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Texas Natural Gas Prices",13,"Annual",2012,"6301967" ,"Release Date:","10312013" ,"Next Release...

407

,"Arizona Natural Gas Prices"  

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

ame","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Arizona Natural Gas Prices",12,"Annual",2012,"6301967" ,"Release Date:","10312013" ,"Next Release...

408

,"Minnesota Natural Gas Prices"  

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

Of Series","Frequency","Latest Data for" ,"Data 1","Minnesota Natural Gas Prices",12,"Annual",2012,"6301967" ,"Release Date:","10312013" ,"Next Release...

409

,"Florida Natural Gas Prices"  

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

ame","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Florida Natural Gas Prices",11,"Annual",2012,"6301967" ,"Release Date:","10312013" ,"Next Release...

410

,"Tennessee Natural Gas Prices"  

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

Of Series","Frequency","Latest Data for" ,"Data 1","Tennessee Natural Gas Prices",11,"Annual",2012,"6301967" ,"Release Date:","10312013" ,"Next Release...

411

,"Colorado Natural Gas Prices"  

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

Of Series","Frequency","Latest Data for" ,"Data 1","Colorado Natural Gas Prices",11,"Annual",2012,"6301967" ,"Release Date:","10312013" ,"Next Release...

412

,"Virginia Natural Gas Prices"  

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

Of Series","Frequency","Latest Data for" ,"Data 1","Virginia Natural Gas Prices",11,"Annual",2012,"6301967" ,"Release Date:","10312013" ,"Next Release...

413

,"Oklahoma Natural Gas Prices"  

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

Of Series","Frequency","Latest Data for" ,"Data 1","Oklahoma Natural Gas Prices",11,"Annual",2012,"6301967" ,"Release Date:","10312013" ,"Next Release...

414

,"Washington Natural Gas Prices"  

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

Of Series","Frequency","Latest Data for" ,"Data 1","Washington Natural Gas Prices",12,"Annual",2012,"6301967" ,"Release Date:","10312013" ,"Next Release...

415

,"Maine Natural Gas Prices"  

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

Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Maine Natural Gas Prices",11,"Annual",2012,"6301967" ,"Release Date:","10312013" ,"Next Release...

416

,"Louisiana Natural Gas Prices"  

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

Of Series","Frequency","Latest Data for" ,"Data 1","Louisiana Natural Gas Prices",13,"Annual",2012,"6301967" ,"Release Date:","10312013" ,"Next Release...

417

,"Utah Natural Gas Prices"  

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

Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Utah Natural Gas Prices",11,"Annual",2012,"6301967" ,"Release Date:","10312013" ,"Next Release...

418

,"Oregon Natural Gas Prices"  

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

Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Oregon Natural Gas Prices",11,"Annual",2012,"6301967" ,"Release Date:","10312013" ,"Next Release...

419

,"Mississippi Natural Gas Prices"  

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

Of Series","Frequency","Latest Data for" ,"Data 1","Mississippi Natural Gas Prices",12,"Annual",2012,"6301967" ,"Release Date:","10312013" ,"Next Release...

420

,"Massachusetts Natural Gas Prices"  

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

Of Series","Frequency","Latest Data for" ,"Data 1","Massachusetts Natural Gas Prices",11,"Annual",2012,"6301967" ,"Release Date:","10312013" ,"Next Release...

Note: This page contains sample records for the topic "high price volatility" 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

,"Nevada Natural Gas Prices"  

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

Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Nevada Natural Gas Prices",11,"Annual",2012,"6301967" ,"Release Date:","10312013" ,"Next Release...

422

,"Delaware Natural Gas Prices"  

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

Of Series","Frequency","Latest Data for" ,"Data 1","Delaware Natural Gas Prices",10,"Annual",2012,"6301967" ,"Release Date:","10312013" ,"Next Release...

423

,"Pennsylvania Natural Gas Prices"  

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

Of Series","Frequency","Latest Data for" ,"Data 1","Pennsylvania Natural Gas Prices",11,"Annual",2012,"6301967" ,"Release Date:","10312013" ,"Next Release...

424

,"Kentucky Natural Gas Prices"  

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

Of Series","Frequency","Latest Data for" ,"Data 1","Kentucky Natural Gas Prices",11,"Annual",2012,"6301967" ,"Release Date:","10312013" ,"Next Release...

425

,"Montana Natural Gas Prices"  

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

ame","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Montana Natural Gas Prices",13,"Annual",2012,"6301967" ,"Release Date:","10312013" ,"Next Release...

426

,"Idaho Natural Gas Prices"  

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

Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Idaho Natural Gas Prices",12,"Annual",2012,"6301967" ,"Release Date:","10312013" ,"Next Release...

427

,"Missouri Natural Gas Prices"  

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

Of Series","Frequency","Latest Data for" ,"Data 1","Missouri Natural Gas Prices",11,"Annual",2012,"6301967" ,"Release Date:","10312013" ,"Next Release...

428

,"Georgia Natural Gas Prices"  

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

ame","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Georgia Natural Gas Prices",11,"Annual",2012,"6301967" ,"Release Date:","10312013" ,"Next Release...

429

,"Indiana Natural Gas Prices"  

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

ame","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Indiana Natural Gas Prices",11,"Annual",2012,"6301967" ,"Release Date:","10312013" ,"Next Release...

430

,"Alabama Natural Gas Prices"  

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

ame","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Alabama Natural Gas Prices",11,"Annual",2012,"6301967" ,"Release Date:","10312013" ,"Next Release...

431

,"Connecticut Natural Gas Prices"  

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

Of Series","Frequency","Latest Data for" ,"Data 1","Connecticut Natural Gas Prices",10,"Annual",2012,"6301967" ,"Release Date:","10312013" ,"Next Release...

432

,"Alaska Natural Gas Prices"  

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

Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Alaska Natural Gas Prices",11,"Annual",2012,"6301967" ,"Release Date:","10312013" ,"Next Release...

433

,"Hawaii Natural Gas Prices"  

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

Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Hawaii Natural Gas Prices",8,"Annual",2012,"6301980" ,"Release Date:","10312013" ,"Next Release...

434

Price-Anderson Act  

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

The Price-Anderson Act (PAA) provides a system of indemnification for legal liability resulting from a nuclear incident in connection with contractual activity for DOE.

435

,"Pennsylvania Natural Gas Prices"  

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

Of Series","Frequency","Latest Data for" ,"Data 1","Pennsylvania Natural Gas Prices",8,"Monthly","72013","1151989" ,"Release Date:","9302013" ,"Next Release...

436

Idaho Natural Gas Prices  

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 in ...

437

,"Idaho Natural Gas Prices"  

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

,"Worksheet Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Idaho Natural Gas Prices",8,"Monthly","102013","1151989" ,"Release Date:","172014"...

438

Natural Gas Citygate Price  

U.S. Energy Information Administration (EIA)

... electric power price data are for regulated electric ... Gas volumes delivered for vehicle fuel are included in the State monthly totals from January ...

439

California Gasoline Price Data  

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

California California Exit Fueleconomy.gov The links below are to pages that are not part of the fueleconomy.gov. We offer these external links for your convenience in accessing additional information that may be useful or interesting to you. Selected Cities Bakersfield BakersfieldGasPrices.com Automotive.com MapQuest.com Fresno FresnoGasPrices.com Automotive.com MapQuest.com Los Angeles LosAngelesGasPrices.com Automotive.com MapQuest.com Modesto ModestoGasPrices.com Automotive.com MapQuest.com Oakland OaklandGasPrices.com Automotive.com MapQuest.com Orange County OrangeCountyGasPrices.com Automotive.com MapQuest.com Riverside RiversideGasPrices.com Automotive.com MapQuest.com San Bernardino SanBernardinoGasPrices.com Automotive.com MapQuest.com San Diego SanDiegoGasPrices.com Automotive.com MapQuest.com

440

,"Iowa Natural Gas Prices"  

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

,"Workbook Contents" ,"Iowa Natural Gas Prices" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description"," Of Series","Frequency","Latest Data for" ,"Data...

Note: This page contains sample records for the topic "high price volatility" 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

,"Alabama Natural Gas Prices"  

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

,"Workbook Contents" ,"Alabama Natural Gas Prices" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description"," Of Series","Frequency","Latest Data for"...

442

,"Georgia Natural Gas Prices"  

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

,"Workbook Contents" ,"Georgia Natural Gas Prices" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description"," Of Series","Frequency","Latest Data for"...

443

,"Connecticut Natural Gas Prices"  

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

,"Workbook Contents" ,"Connecticut Natural Gas Prices" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description"," Of Series","Frequency","Latest Data for"...

444

,"Colorado Natural Gas Prices"  

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

,"Workbook Contents" ,"Colorado Natural Gas Prices" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description"," Of Series","Frequency","Latest Data for"...

445

,"California Natural Gas Prices"  

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

,"Workbook Contents" ,"California Natural Gas Prices" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description"," Of Series","Frequency","Latest Data for"...

446

,"Florida Natural Gas Prices"  

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

,"Workbook Contents" ,"Florida Natural Gas Prices" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description"," Of Series","Frequency","Latest Data for"...

447

,"Arkansas Natural Gas Prices"  

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

,"Workbook Contents" ,"Arkansas Natural Gas Prices" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description"," Of Series","Frequency","Latest Data for"...

448

,"Arizona Natural Gas Prices"  

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

,"Workbook Contents" ,"Arizona Natural Gas Prices" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description"," Of Series","Frequency","Latest Data for"...

449

,"Alaska Natural Gas Prices"  

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

,"Workbook Contents" ,"Alaska Natural Gas Prices" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description"," Of Series","Frequency","Latest Data for"...

450

,"Delaware Natural Gas Prices"  

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

,"Workbook Contents" ,"Delaware Natural Gas Prices" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description"," Of Series","Frequency","Latest Data for"...

451

,"Hawaii Natural Gas Prices"  

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

,"Workbook Contents" ,"Hawaii Natural Gas Prices" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description"," Of Series","Frequency","Latest Data for"...

452

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

453

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

454

PriceTechNotes2011.vp  

Gasoline and Diesel Fuel Update (EIA)

prices prices are developed for the following three categories: coking coal; steam coal (all noncoking coal); and coal coke imports and exports. Coking coal, used in the industrial sector only, is a high-quality bitumi- nous coal that is used to make coal coke. Steam coal, which may be used by all sectors, includes anthracite, bituminous coal, subbituminous coal, and lignite. In the industrial sector, coal consumption is the sum of cok- ing coal and steam coal. The industrial coal price is the quantity- weighted average price of these two components. Imports and exports of coal coke are available only on the national level and are accounted for in the industrial sector. Coal coke imports and ex- ports are reported separately and are not averaged with other coal prices and expenditures. Coking Coal Coking coal is generally more expensive than steam coal; therefore, it is identified separately

455

EIA - Analysis of Natural Gas Prices  

Gasoline and Diesel Fuel Update (EIA)

Prices Prices 2010 Peaks, Plans and (Persnickety) Prices This presentation provides information about EIA's estimates of working gas peak storage capacity, and the development of the natural gas storage industry. Natural gas shale and the need for high deliverability storage are identified as key drivers in natural gas storage capacity development. The presentation also provides estimates of planned storage facilities through 2012. Categories: Prices, Storage (Released, 10/28/2010, ppt format) Natural Gas Year-In-Review 2009 This is a special report that provides an overview of the natural gas industry and markets in 2009 with special focus on the first complete set of supply and disposition data for 2009 from the Energy Information Administration. Topics discussed include natural gas end-use consumption trends, offshore and onshore production, imports and exports of pipeline and liquefied natural gas, and above-average storage inventories. Categories: Prices, Production, Consumption, Imports/Exports & Pipelines, Storage (Released, 7/9/2010, Html format)

456

Threshold Effects of Energy Price Changes ?  

E-Print Network (OSTI)

The effectiveness of policies to reduce the use of energy depend on the elasticity of substitution between the various inputs and on the rate of technological progress. This paper presents a theoretical model emphasising energy investments characteristics of uncertainty and irreversibility that result in hypotheses concerning the relative values of substitution parameters and rates of technological change in periods of high and increasing energy prices and in periods of low prices. The theoretical model suggests that threshold level effects exist. Firms are induced to substitute away from energy only if prices of energy exceed a certain threshold level and they reverse the technology only if prices are low enough. Using panel data for the Dutch economy we do not find threshold effects in the level of energy prices.

Daan P. Van Soest A; Gerard H. Kuper B; Jan Jacobs C

2000-01-01T23:59:59.000Z

457

Marginal Energy Price Report- July 1999  

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

Estimated Consumer Marginal Energy Prices for the Commercial and Residental Sectors for use in the Life-Cycle Cost Analyses for four of the High-Priority Appliance Rulemakings

458

Biennial Assessment of the Fifth Power Plan Interim Report on Electric Price Forecasts  

E-Print Network (OSTI)

2012. This is because high natural gas prices result in a shift to wind and coal generation. Figure 2 the Aurora forecast was based on medium trend natural gas prices and average water conditions. The spike in electric prices during the fall and winter of 2005 are due to high natural gas prices following hurricanes

459

Five Facts About Prices: A Reevaluation of Menu Cost Models  

E-Print Network (OSTI)

We establish five facts about prices in the U.S. economy: 1) The median implied duration of consumer prices when sales are excluded at the product level is between 8 and 11 months. The median implied duration of finished goods producer prices is 8.7 months. 2) One-third of regular price changes are price decreases. 3) The frequency of price increases responds strongly to inflation while the frequency of price decreases and the size of price increases and price decreases do not. 4) The frequency of price change is highly seasonal: It is highest in the 1st quarter and lowest in the 4th quarter. 5) The hazard function of price changes for individual consumer and producer goods is downward sloping for the first few months and then flat (except for a large spike at 12 months in consumer services and all producer prices). These facts are based on CPI microdata and a new comprehensive data set of microdata on producer prices that we construct from raw production files underlying the PPI. We show that the 1st, 2nd and 3rd facts are consistent with a benchmark menu-cost model, while the 4th and 5th facts are not.

Emi Nakamura; Jn Steinsson

2006-01-01T23:59:59.000Z

460

RWP 09-06Time Variation in the Inflation Passthrough of Energy Prices  

E-Print Network (OSTI)

From Bayesian estimates of a vector autoregression (VAR) which allows for both coefficient drift and stochastic volatility, we obtain the following three results. First, beginning in approximately 1975, the responsiveness of core inflation to changes in energy prices in the United States fell rapidly and remains muted. Second, this decline in the passthrough of energy inflation to core prices has been sustained through a recent period of markedly higher volatility of shocks to energy inflation. Finally, reduced energy inflation passthrough has persisted in the face of monetary policy which quickly became less responsive to energy inflation starting around 1985.

Todd E. Clark; Stephen J. Terry; Todd E. Clark; Stephen J. Terry

2009-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "high price volatility" 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

Utility spot pricing, California  

E-Print Network (OSTI)

The objective of the present spot pricing study carried out for SCE and PG&E is to develop the concepts which wculd lead to an experimental design for spot pricing in the two utilities. The report suggests a set of experiments ...

Schweppe, Fred C.

1982-01-01T23:59:59.000Z

462

California Natural Gas Prices  

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

9.43 9.92 9.93 9.22 1967-2012 Percentage of Total Residential Deliveries included in Prices 99.5 99.3 98.9 98.5 98.3 97.4 1989-2012 Commercial Price 10.20 11.75 7.75 8.30 8.28...

463

Michigan Natural Gas Prices  

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

11.32 10.47 9.96 1967-2012 Percentage of Total Residential Deliveries included in Prices 94.5 94.0 93.7 91.9 92.1 NA 1989-2012 Commercial Price 10.02 10.66 9.38 8.95 9.14 8.34...

464

Connecticut Natural Gas Prices  

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

15.45 18.00 18.88 1989-2013 Percentage of Total Residential Deliveries included in Prices 97.3 96.9 96.3 96.3 96.6 96.4 2002-2013 Commercial Price 8.24 7.71 8.57 8.59 8.19 8.51...

465

Utah Natural Gas Prices  

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

8.95 8.22 8.44 NA 1967-2012 Percentage of Total Residential Deliveries included in Prices 100.0 100.0 100.0 100.0 100.0 100.0 1989-2012 Commercial Price 8.03 7.74 7.57 6.83...

466

Colorado Natural Gas Prices  

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

8.80 8.13 8.25 8.26 1967-2012 Percentage of Total Residential Deliveries included in Prices 100.0 100.0 100.0 100.0 100.0 100.0 1989-2012 Commercial Price 8.10 9.01 7.56 7.58...

467

Illinois Natural Gas Prices  

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

14.56 15.62 15.52 1989-2013 Percentage of Total Residential Deliveries included in Prices 87.5 84.9 83.4 84.8 86.6 86.7 2002-2013 Commercial Price 7.04 8.26 NA 12.27 12.69...

468

Hawaii Natural Gas Prices  

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

44.50 55.28 52.86 1980-2012 Percentage of Total Residential Deliveries included in Prices 100.0 100.0 100.0 100.0 100.0 100.0 1989-2012 Commercial Price 28.31 39.01 30.00 36.55...

469

Hawaii Natural Gas Prices  

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

46.54 48.35 47.10 1989-2013 Percentage of Total Residential Deliveries included in Prices 100.0 100.0 100.0 100.0 100.0 100.0 2002-2013 Commercial Price 47.66 44.78 42.04 39.71...

470

Kentucky Natural Gas Prices  

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

17.45 20.55 20.92 1989-2013 Percentage of Total Residential Deliveries included in Prices 95.9 94.3 95.8 96.3 96.9 97.1 2002-2013 Commercial Price 7.02 7.81 NA 11.14 11.58...

471

Ohio Natural Gas Prices  

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

11.13 10.78 9.84 1967-2012 Percentage of Total Residential Deliveries included in Prices 100.0 100.0 100.0 100.0 100.0 100.0 1989-2012 Commercial Price 11.74 12.77 10.42 9.25...

472

Virginia Natural Gas Prices  

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

12.73 12.72 12.52 1967-2012 Percentage of Total Residential Deliveries included in Prices 100.0 100.0 100.0 100.0 90.1 89.6 1989-2012 Commercial Price 11.99 12.81 10.31 9.55...

473

Delaware Natural Gas Prices  

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

19.64 22.31 24.12 1989-2013 Percentage of Total Residential Deliveries included in Prices 100.0 100.0 100.0 100.0 100.0 100.0 2002-2013 Commercial Price 11.25 11.64 12.74 13.72...

474

Kentucky Natural Gas Prices  

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

10.02 10.44 10.26 1967-2012 Percentage of Total Residential Deliveries included in Prices 96.1 96.0 95.4 95.7 95.5 95.8 1989-2012 Commercial Price 11.29 13.25 10.89 8.61 8.78...

475

Missouri Natural Gas Prices  

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

21.40 23.86 24.98 1989-2013 Percentage of Total Residential Deliveries included in Prices 100.0 100.0 100.0 100.0 100.0 100.0 2002-2013 Commercial Price 8.22 8.78 9.48 11.32 NA...

476

Mississippi Natural Gas Prices  

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

12.49 13.53 13.60 1989-2013 Percentage of Total Residential Deliveries included in Prices 100.0 100.0 100.0 100.0 100.0 100.0 2002-2013 Commercial Price 7.34 7.44 7.87 7.47...

477

Oklahoma Natural Gas Prices  

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

11.12 10.32 11.14 1967-2012 Percentage of Total Residential Deliveries included in Prices 100.0 100.0 100.0 100.0 100.0 100.0 1989-2012 Commercial Price 10.94 11.54 10.59 9.77...

478

Colorado Natural Gas Prices  

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

11.54 13.68 14.03 1989-2013 Percentage of Total Residential Deliveries included in Prices 100.0 100.0 100.0 100.0 100.0 100.0 2002-2013 Commercial Price 6.84 7.09 7.64 8.62...

479

Florida Natural Gas Prices  

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

21.45 22.76 23.39 1989-2013 Percentage of Total Residential Deliveries included in Prices 97.7 NA 98.2 97.8 97.8 97.0 2002-2013 Commercial Price 11.02 11.18 10.63 11.39 11.21...

480

Nevada Natural Gas Prices  

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

12.25 10.66 10.14 1967-2012 Percentage of Total Residential Deliveries included in Prices 100.0 100.0 100.0 100.0 100.0 100.0 1989-2012 Commercial Price 12.03 11.21 10.92 9.77...

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481

Wisconsin Natural Gas Prices  

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

9.85 NA 12.66 12.76 1989-2013 Percentage of Total Residential Deliveries included in Prices 100.0 100.0 100.0 100.0 100.0 100.0 2002-2013 Commercial Price 7.05 7.38 7.19 7.58...

482

Iowa Natural Gas Prices  

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

9.83 9.57 9.54 NA 1967-2012 Percentage of Total Residential Deliveries included in Prices 100.0 100.0 100.0 100.0 100.0 100.0 1989-2012 Commercial Price 9.97 10.25 7.88 7.81...

483

Minnesota Natural Gas Prices  

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

12.08 12.85 12.88 1989-2013 Percentage of Total Residential Deliveries included in Prices 100.0 100.0 100.0 100.0 100.0 100.0 2002-2013 Commercial Price 6.48 6.85 7.51 8.17...

484

Tennessee Natural Gas Prices  

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

15.65 16.46 16.57 1989-2013 Percentage of Total Residential Deliveries included in Prices 100.0 100.0 100.0 100.0 100.0 100.0 2002-2013 Commercial Price 7.65 8.53 8.98 9.96...

485

Arizona Natural Gas Prices  

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

20.01 21.87 21.86 1989-2013 Percentage of Total Residential Deliveries included in Prices 100.0 100.0 100.0 100.0 100.0 100.0 2002-2013 Commercial Price 8.39 8.95 8.93 8.99...

486

Nebraska Natural Gas Prices  

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

13.52 15.57 16.64 1989-2013 Percentage of Total Residential Deliveries included in Prices 89.1 88.3 87.3 88.0 NA 88.0 2002-2013 Commercial Price 6.33 6.34 6.53 7.25 NA NA...

487

Vermont Natural Gas Prices  

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

20.00 22.97 23.69 1989-2013 Percentage of Total Residential Deliveries included in Prices 100.0 100.0 100.0 100.0 100.0 100.0 2002-2013 Commercial Price 11.53 11.62 11.68 11.97...

488

Wyoming Natural Gas Prices  

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

9.39 8.58 8.72 8.43 1967-2012 Percentage of Total Residential Deliveries included in Prices 54.0 77.3 77.8 75.4 75.6 NA 1989-2012 Commercial Price 7.89 8.87 8.01 7.13 7.29 6.92...

489

Arizona Natural Gas Prices  

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

17.65 15.87 15.04 NA 1967-2012 Percentage of Total Residential Deliveries included in Prices 100.0 100.0 100.0 100.0 100.0 100.0 1989-2012 Commercial Price 12.84 13.01 12.15 10.72...

490

Maine Natural Gas Prices  

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

16.43 14.14 14.20 NA 1967-2012 Percentage of Total Residential Deliveries included in Prices 100.0 100.0 100.0 99.9 100.0 100.0 1989-2012 Commercial Price 14.82 15.87 13.94 11.71...

491

Kansas Natural Gas Prices  

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

10.61 9.93 10.18 1967-2012 Percentage of Total Residential Deliveries included in Prices 100.0 100.0 100.0 100.0 100.0 100.0 1989-2012 Commercial Price 12.04 12.24 10.01 9.65...

492

Virginia Natural Gas Prices  

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

14.97 NA 20.70 19.90 1989-2013 Percentage of Total Residential Deliveries included in Prices 90.6 88.3 88.1 NA 86.4 88.8 2002-2013 Commercial Price 8.21 9.11 9.52 9.96 10.36 10.09...

493

Nevada Natural Gas Prices  

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

12.16 13.22 14.39 1989-2013 Percentage of Total Residential Deliveries included in Prices 100.0 100.0 100.0 100.0 100.0 100.0 2002-2013 Commercial Price 6.04 6.38 6.56 6.78...

494

Nebraska Natural Gas Prices  

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

9.34 8.95 8.84 NA 1967-2012 Percentage of Total Residential Deliveries included in Prices 85.7 87.1 87.8 87.4 87.3 NA 1989-2012 Commercial Price 9.16 9.62 7.44 7.08 6.69 6.17...

495

Tennessee Natural Gas Prices  

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

10.46 10.21 9.98 1967-2012 Percentage of Total Residential Deliveries included in Prices 100.0 100.0 100.0 100.0 100.0 100.0 1989-2012 Commercial Price 11.99 13.01 10.67 9.39...

496

Wyoming Natural Gas Prices  

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

11.57 15.79 16.92 1989-2013 Percentage of Total Residential Deliveries included in Prices 75.4 74.8 71.8 72.7 74.9 73.8 2002-2013 Commercial Price 6.21 6.04 6.43 7.28 8.31 7.91...

497

Maryland Natural Gas Prices  

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

17.45 16.48 18.75 1989-2013 Percentage of Total Residential Deliveries included in Prices 75.1 73.5 72.5 71.2 77.7 69.6 2002-2013 Commercial Price 9.30 10.67 11.84 12.79 NA...

498

Alaska Natural Gas Prices  

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

8.99 9.52 9.84 9.27 1989-2013 Percentage of Total Residential Deliveries included in Prices 100.0 100.0 100.0 100.0 100.0 100.0 2002-2013 Commercial Price 8.45 8.33 8.58 8.79...

499

Massachusetts Natural Gas Prices  

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

14.85 14.53 13.81 NA 1967-2012 Percentage of Total Residential Deliveries included in Prices 99.9 85.0 85.6 85.4 89.3 NA 1989-2012 Commercial Price 15.08 15.25 12.85 12.00 11.68...

500

California Natural Gas Prices  

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

11.40 11.08 10.94 1989-2013 Percentage of Total Residential Deliveries included in Prices 96.1 96.0 95.7 95.6 95.4 95.3 2002-2013 Commercial Price 7.41 NA 7.85 8.46 8.03 8.05...