National Library of Energy BETA

Sample records for option pricing model

  1. Comparison of option prices in semimartingale models

    E-Print Network [OSTI]

    Rüschendorf, Ludger

    Comparison of option prices in semimartingale models Jan Bergenthum, Ludger R¨uschendorf Department.r.t. martingale pricing measures. The comparison is with respect to convex and also with respect to directionally characteristics of the stochastic logarithm of the stock price processes S, S . As examples we discuss

  2. A comparison of option prices under different pricing measures in a stochastic volatility model

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    A comparison of option prices under different pricing measures in a stochastic volatility model option prices in an incomplete stochastic volatility model with correlation. In a general setting, we prove an ordering result which says that prices for European options with convex payoffs are decreasing

  3. The Skorokhod Embedding Problem and Model-Independent Bounds for Option Prices

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    The Skorokhod Embedding Problem and Model-Independent Bounds for Option Prices David Hobson July 20 for the pricing of financial options is to pos- tulate a model and then to calculate the price of a contingent we can observe traded option prices, but know little or nothing about the model. Hence the question

  4. Option prices in a model with stochastic disaster risk Sang Byung Seo

    E-Print Network [OSTI]

    Kahana, Michael J.

    Option prices in a model with stochastic disaster risk Sang Byung Seo University of Pennsylvania Mellon University, Cornell University and the Wharton school for helpful comments. #12;Option prices. Thus it is of interest to know whether these models have the potential to explain option prices as well

  5. Option Pricing Models c 2005 Prof. Yuh-Dauh Lyuu, National Taiwan University Page 187

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    Lyuu, Yuh-Dauh

    Option Pricing Models c 2005 Prof. Yuh-Dauh Lyuu, National Taiwan University Page 187 If the world­1970) c 2005 Prof. Yuh-Dauh Lyuu, National Taiwan University Page 188 The Setting · The no pricing model. c 2005 Prof. Yuh-Dauh Lyuu, National Taiwan University Page 189 Terms and Approach · C

  6. Option Pricing Models c 2006 Prof. Yuh-Dauh Lyuu, National Taiwan University Page 188

    E-Print Network [OSTI]

    Lyuu, Yuh-Dauh

    Option Pricing Models c 2006 Prof. Yuh-Dauh Lyuu, National Taiwan University Page 188 If the world­1970) c 2006 Prof. Yuh-Dauh Lyuu, National Taiwan University Page 189 The Setting · The no Prof. Yuh-Dauh Lyuu, National Taiwan University Page 190 Terms and Approach · C: call value. · P: put

  7. Option Pricing Models c 2009 Prof. Yuh-Dauh Lyuu, National Taiwan University Page 193

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    Lyuu, Yuh-Dauh

    Option Pricing Models c 2009 Prof. Yuh-Dauh Lyuu, National Taiwan University Page 193 #12;If-Dauh Lyuu, National Taiwan University Page 194 #12;The Setting · The no-arbitrage principle is insufficient, National Taiwan University Page 195 #12;Terms and Approach · C: call value. · P: put value. · X: strike

  8. What drives option prices? Frdric Abergel1

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    . The study reveals that while the modeling of stochastic volatility gives more robust models, the market does 2 Theoretical framework 4 3 Intraday joint dynamics of option and underlying prices 5 3.1 EppsWhat drives option prices? Frédéric Abergel1 and Riadh Zaatour2 Chair of Quantitative Finance Ecole

  9. VOLATILITY TIME AND PROPERTIES OF OPTION PRICES

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    Janson, Svante

    VOLATILITY TIME AND PROPERTIES OF OPTION PRICES volatility time, to show convexity of option prices in the underlying asset if the contract function is convex as well as continuity and monotonicity of the option price in the volatility

  10. On the Solution of Complementarity Problems Arising in American Options Pricing

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    Nocedal, Jorge

    throughout the trading day, the options prices change as well. Re-pricing a large options book in real timeOn the Solution of Complementarity Problems Arising in American Options Pricing Liming Feng Vadim, as well as in more general stochastic models in finance, the price of an American option solves

  11. Numerical Convergence Properties of Option Pricing PDEs with Uncertain Volatility

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    Forsyth, Peter A.

    is then simply the cost of this hedge. The principal source of risk is the price of the underlying assetNumerical Convergence Properties of Option Pricing PDEs with Uncertain Volatility D. M. Pooley , P, 2001 Abstract The pricing equations derived from uncertain volatility models in finance are often cast

  12. VOLATILITY TIME AND PROPERTIES OF OPTION PRICES: A SUMMARY

    E-Print Network [OSTI]

    Janson, Svante

    VOLATILITY TIME AND PROPERTIES OF OPTION PRICES: A SUMMARY volatility time, to show convexity of option prices in the underlying asset if the contract function is convex as well as continuity and monotonicity of the option price in the volatility

  13. A New Spectral Element Method for Pricing European Options ...

    E-Print Network [OSTI]

    2013-01-02

    Nov 11, 2011 ... equations for pricing European options under the Black–Scholes and ... functions · Option pricing · Black–Scholes · Merton jump diffusion.

  14. A Model-Free No-arbitrage Price Bound for Variance Options

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    Bonnans, J. Frederic, E-mail: frederic.bonnans@inria.fr [Ecole Polytechnique, INRIA-Saclay (France); Tan Xiaolu, E-mail: xiaolu.tan@polytechnique.edu [Ecole Polytechnique, CMAP (France)

    2013-08-01

    We suggest a numerical approximation for an optimization problem, motivated by its applications in finance to find the model-free no-arbitrage bound of variance options given the marginal distributions of the underlying asset. A first approximation restricts the computation to a bounded domain. Then we propose a gradient projection algorithm together with the finite difference scheme to solve the optimization problem. We prove the general convergence, and derive some convergence rate estimates. Finally, we give some numerical examples to test the efficiency of the algorithm.

  15. Option Prices under Generalized Pricing BERTRAM D URING Duering@uni-mainz.de

    E-Print Network [OSTI]

    Düring, Bertram

    Option Prices under Generalized Pricing Kernels BERTRAM D ¨URING Duering@uni-mainz.de Institut f solutions for European option prices are derived for a class of rather general asset specific pricing of the Black and Scholes (1973) option pricing formula and the Heston (1993) option pricing formula for non

  16. The Range of Traded Option Prices Mark H.A. Davis

    E-Print Network [OSTI]

    The Range of Traded Option Prices Mark H.A. Davis Imperial College London and David G. Hobson Suppose we are given a set of prices of European call options over a finite range of strike prices conditions for the prices to be consistent with an arbitrage- free model (in which case the model can

  17. Target Volatility Option Pricing Giuseppe Di Graziano

    E-Print Network [OSTI]

    Macrina, Andrea

    for the pricing of Target Volatility Options (TVOs), a recent market innovation in the eld of volatility are lower than the target volatility, the pay-o of the former is higher than the pay-o of the corresponding experi- enced a steep increase, with a signicant impact on option (long vega) costs. The generalized

  18. Pricing and hedging a barrier option 

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    Bogossian, Alan

    2002-01-01

    . Monte-Carlo Simulations Many exotic derivatives, usually those that are path-dependent, cannot be computed using a closed form equation. As we have seen this, it is the case of barrier options with discontinuous barrier (daily or weekly barrier... would like to get the same price for the option each time we use the same parameter. This fact is really important in order to be able to measure the sensitivity of the option's price with respect to its determinants. A straightforward Monte Carlo...

  19. Rolling Up a Put Option as Prices Increase 

    E-Print Network [OSTI]

    Johnson, Jason; Polk, Wade

    2008-10-07

    Agricultural producers use put options to protect themselves against declining prices. The technique of "rolling up a put option, explained in this publication, allows the producer to raise the minimum expected selling price of a put option...

  20. ON THE RELATION BETWEEN OPTION AND STOCK PRICES: A CONVEX OPTIMIZATION APPROACH

    E-Print Network [OSTI]

    Bertsimas, Dimitris

    ON THE RELATION BETWEEN OPTION AND STOCK PRICES: A CONVEX OPTIMIZATION APPROACH DIMITRIS BERTSIMAS of option and stock prices based just on the no-arbitrage assumption, but without assuming any model for the underlying price dynamics, has a long history in the financial economics literature. We introduce convex and

  1. PRICING AND HEDGING SPREAD OPTIONS RENE CARMONA AND VALDO DURRLEMAN

    E-Print Network [OSTI]

    Carmona, Rene

    a chance to venture in the poorly understood world of asset valuation and real options which are the objectPRICING AND HEDGING SPREAD OPTIONS REN´E CARMONA AND VALDO DURRLEMAN ABSTRACT. We survey the theoretical and the computational problems associated with the pricing of spread options. These options

  2. The Information in Option Volume for Future Stock Prices

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    Gabrieli, John

    that option trading volume contains information about future stock prices. Taking advantage of a unique dataThe Information in Option Volume for Future Stock Prices Jun Pan MIT Sloan School of Management set, we construct put-call ratios from option volume initiated by buyers to open new positions. Stocks

  3. RECOVERING A TIME-HOMOGENEOUS STOCK PRICE PROCESS FROM PERPETUAL OPTION PRICES

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    RECOVERING A TIME-HOMOGENEOUS STOCK PRICE PROCESS FROM PERPETUAL OPTION PRICES ERIK EKSTR¨OM AND DAVID HOBSON Abstract. It is well-known how to determine the price of perpetual American options if the underlying stock price is a time-homogeneous diffusion. In the present paper we consider the inverse problem

  4. Dynamic Behavior of Differential Pricing and Quality of Service Options for the Internet

    E-Print Network [OSTI]

    Odlyzko, Andrew M.

    Dynamic Behavior of Differential Pricing and Quality of Service Options for the Internet Peter C@research.att.com, amo@research.att.com Abstract. The simple model on which the Internet has op- erated, with all packets the Internet more complicated. Differential quality will also force differential pricing, and this will fur

  5. American Options under Proportional Transaction Costs: Seller's Price Algorithm,

    E-Print Network [OSTI]

    Zastawniak, Tomasz

    American Options under Proportional Transaction Costs: Seller's Price Algorithm, Hedging Strategy and hedged in a general discrete market in the presence of arbitrary proportional transaction costs inherent's position in American options when trading in the underlying asset is subject to proportional transaction

  6. An option pricing theory explanation of the invasion of Kuwait

    SciTech Connect (OSTI)

    Muhtaseb, M.R.

    1995-12-31

    The objective of this paper is to explain the invasion of Kuwait by making an analogy between a call option and the Iraq-Kuwait situation before the invasion on August 2, 1990. A number of factors contributed to the issuance of a deep-in-the money European call option to Iraq against Kuwait. The underlying asset is the crude oil reserves under Kuwait. Price of crude oil is determined in world spot markets. The exercise price is equal to the cost of permanently annexing and retaining Kuwait. The volatility is measured by the annualized variance of the weekly rate of return of the spot price of crude oil. Time-to-expiration is equal to the time period between decision date and actual invasion date. Finally, since crude oil prices are quoted in U.S. dollars, the U.S. Treasury bill rate is assumed to be the risk-free rate. In a base-case scenario, Kuwait`s oil reserves amount to 94,500 million barrels valued at $18 a barrell in early February 1990 resulting in a market value of $1,701 billion. Because the cost of the war to Iraq is not known, we assume it is comparable to that of the U.S.-led coalition of $51.0 billion. Time-to-expiration is six months. The treasury bill rate in early 1990 was around 7.5 percent. Annualized standard deviation of weekly rates of return is 0.216. The value of Kuwait`s invasion option is $1,642.25 billion. Depending on the scenario, the value of this special option ranged between $1,450 billion and $3.624 billion. 10 refs., 1 tab.

  7. Statistical Modeling of Spot Instance Prices in Public Cloud Environments

    E-Print Network [OSTI]

    Buyya, Rajkumar

    Statistical Modeling of Spot Instance Prices in Public Cloud Environments Bahman Javadi, Ruppa K resources has introduced many trade-offs between price, per- formance and recently reliability. Amazon's Spot Instances (SIs) create a competitive bidding option for the public Cloud users at lower prices

  8. Consistency of the Geometric Brownian Motion Model of Stock Prices with Asymmetric Information.

    E-Print Network [OSTI]

    Carmona, Rene

    Consistency of the Geometric Brownian Motion Model of Stock Prices with Asymmetric Information on the microeconomic foundation of modern option pricing models. We develop a model of market agents' interactions, induced by heterogeneity of information, which is consistent with both modern option pricing models

  9. Bounds for the price of discrete arithmetic Asian options M. Vanmaele

    E-Print Network [OSTI]

    Vanmaele, Michèle

    on discrete averaging which is the normal specification in real contracts. Discrete arithmetic Asian optionsBounds for the price of discrete arithmetic Asian options M. Vanmaele , G. Deelstra , J. Liinev , J.Goovaerts@econ.kuleuven.ac.be, Tel. +32 16 326750. #12;Bounds for the price of discrete arithmetic Asian options Abstract

  10. WENO and Blended BDF Discretizations for Option Pricing

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    Oosterlee, Cornelis W. "Kees"

    values does not only depend on the stock price, but also on other functions of the price development

  11. Real Option Pricing with Mean-Reverting Investment and Project Value

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    Zubelli, Jorge Passamani

    is the valuation of the option to the invest in an oil field. Like most commodities, oil prices tend to mean-revert, and as a direct result the value of investment in an oil field is also mean-reverting. Consequently, it wouldReal Option Pricing with Mean-Reverting Investment and Project Value Sebastian Jaimungal , Max

  12. A modelling framework for the prices and times of trades made on the New York stock

    E-Print Network [OSTI]

    Wolfe, Patrick J.

    A modelling framework for the prices and times of trades made on the New York stock exchange Tina for price changes over pre-speci ed intervals of times, such as 30 seconds, 20 minutes or a day option pricing model. In practice almost all the prices at which nancial assets transact live

  13. Real Options, Non-traded Assets and Utility Indi erence Prices.

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    Bath, University of

    Real Options, Non-traded Assets and Utility Indi#11;erence Prices. D.G. Hobson #3; March 24, 2003 Abstract We show that the utility indi#11;erence (bid) price of a contingent claim is bounded above by the price under the minimal martingale measure. This bound is indepen- dent of both the utility function

  14. Prices of Options as Opinion Dynamics of the Market Players with Limited Social Influence

    E-Print Network [OSTI]

    Oster, Elad

    2015-01-01

    The dynamics of market prices is described as the evolution of opinions in the trading community regarding future market behavior. The price then is a function of the voting process of the market players in favor to raise or reduce the value of a stock. The model presented in this paper is suited for pricing of options and was verified against real market data. The model allows deriving the parameters of market players from available real market data, especially maximum possible correlation (herding) and anti-correlation between the players' opinions. The deviations of market prices from those predicted by the Black-Scholes model, such as smile and skew implied volatilities, are interpreted as the current values and limits of social influence of the market players, respectively. To the best of our knowledge, this is the first work that discriminates skew and smile phenomena. Our approach unifies and develops a further connection between trading, voters' model, and statistical physics analogies of opinion dyna...

  15. Real Option Pricing with Mean-Reverting Investment and Project Value

    E-Print Network [OSTI]

    Zubelli, Jorge Passamani

    to the invest in an oil field. Like most commodities, oil prices tend to mean-revert, and as a direct result the value of investment in an oil field is also mean-reverting. Consequently, it would not be appropriateReal Option Pricing with Mean-Reverting Investment and Project Value October 1st, 2009 #12;Abstract

  16. Postgraduate Scholarship Pricing temperature derivatives and modelling

    E-Print Network [OSTI]

    Banaji,. Murad

    the volumetric risk of the energy units sold, rather than the price risk of each unit. Weather derivativesPostgraduate Scholarship Pricing temperature derivatives and modelling the market price of risk: Pricing temperature derivatives and modelling the market price of risk. Main Supervisor: A. Alexandridis

  17. Fall 2015 -2016 PARKING PERMIT RATES (as of 7/22/15) LOWER PRICE OPTIONS

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    Fall 2015 - 2016 PARKING PERMIT RATES (as of 7/22/15) LOWER PRICE OPTIONS West Campus Lot ­ Annual $550.00 Lot R ­ Annual (Liberty Sq/Potomac Hts residents only) $575.00 RESERVED PARKING DECK PERMITS for the following parking options) Adjunct Faculty Permit ­ Semester (only valid in Lot K, PV Lot, and the Field

  18. Abstract--The Black-Scholes (B-S) model is the traditional tool for giving a theoretical estimate of the price of

    E-Print Network [OSTI]

    Fernandez, Thomas

    of the price of European-style options. However, the basic assumptions on the assets and market made in the B-S model are ideal. Furthermore, a lot of factors which might affect the prices of options have not been) are applied to forecast the prices of stock options by using the six basic factors in the B-S model

  19. Joint Modelling of Gas and Electricity spot prices N. Frikha1 , V. Lemaire2

    E-Print Network [OSTI]

    Boyer, Edmond

    Joint Modelling of Gas and Electricity spot prices N. Frikha1 , V. Lemaire2 October 13, 2010 for developing a risk management framework as well as pricing of options. Many derivatives on both electricity to price projects in energy (see [12] for an introduction). Thus, modelling jointly the evolution of gas

  20. Joint Modelling of Gas and Electricity spot prices N. Frikha1 , V. Lemaire2

    E-Print Network [OSTI]

    Joint Modelling of Gas and Electricity spot prices N. Frikha1 , V. Lemaire2 October 9, 2009 for developing a risk management framework as well as pricing of options. Many derivatives on both electricity to price projects in energy (see [10] for an introduction). Thus, modelling jointly the evolution of gas

  1. Pricing European Barrier Options Peter W.Buchen

    E-Print Network [OSTI]

    Sydney, University of

    barrier options which incorporate a con- stant rebate. The method exploits the symmetries and properties of elemen- tary solutions of the Black-Scholes partial differential equation. The rebate and non-rebate. If rebates apply then the first exit time densities through the barrier are also required. Barrier option

  2. METHODS FOR PRICING AMERICAN OPTIONS UNDER REGIME1 Y. HUANG , P.A. FORSYTH , AND G. LABAHN 3

    E-Print Network [OSTI]

    Forsyth, Peter A.

    markets [21, 40],26 natural gas [12, 2], optimal forestry management [11], trading strategies [15], valuaMETHODS FOR PRICING AMERICAN OPTIONS UNDER REGIME1 SWITCHING 2 Y. HUANG , P.A. FORSYTH , AND G. LABAHN §3 Abstract. We analyze a number of techniques for pricing American options under a regime4

  3. NN-OPT: Neural Network for Option Pricing Using Multinomial Tree

    E-Print Network [OSTI]

    Magdon-Ismail, Malik

    on historical data. Finally, we illustrate the power of such a framework by developing a real time trading­7]. Other related topics can be found in [2, 8]. Option trading by directly predicting prices and then building trading sys- tems based on the predictions have been considered in the neural network liter- ature

  4. UNLV Student Recreation and Wellness Center Access Options and Price List for Conference Housing Guests

    E-Print Network [OSTI]

    Walker, Lawrence R.

    UNLV Student Recreation and Wellness Center Access Options and Price List for Conference Housing Guests As a Conference Housing guests, you may access the UNLV Student Recreation and Wellness Center Form located in the Conference and Intern Housing key booklet No refunds, exchanges or pro

  5. 13 CHAPTER XIII: PRICE ENDOGENOUS MODELING 13 CHAPTER XIII: PRICE ENDOGENOUS MODELING ................................................... 1

    E-Print Network [OSTI]

    McCarl, Bruce A.

    13 CHAPTER XIII: PRICE ENDOGENOUS MODELING 13 CHAPTER XIII: PRICE ENDOGENOUS MODELING.................................................................................................................... 16 #12;13.1 Introduction A common economic application of nonlinear programming involves price endogenous models. In the standard LP model, input and output prices or quantities are assumed fixed

  6. Site license price adjustments for NPGowned journals with open access options Nature Publishing Group offers a number of options for authors wishing to publish with us, from

    E-Print Network [OSTI]

    Cai, Long

    Site license price adjustments for NPGowned journals with open access options Nature Publishing Group offers a number of options for authors wishing to publish with us, from open accessonly this is a real challenge for institutions, funders and publishers and we're examining how we might make things

  7. *See actual finish and fabric options at the Design Center on Campus. *All prices are subject to change and do not include delivery and installation.

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    Hung, I-Kuai

    *See actual finish and fabric options at the Design Center on Campus. *All prices are subject.0 Classrooms Laboratories #12;*See actual finish and fabric options at the Design Center on Campus. *All prices Halls/Tiered #12;*See actual finish and fabric options at the Design Center on Campus. *All prices

  8. MODELS FOR ELECTRICITY PRICES Avishka Raghoonundun

    E-Print Network [OSTI]

    Fournier, John J.F.

    MODELS FOR ELECTRICITY PRICES by Avishka Raghoonundun BSc (Hons),University of Mauritius,2007 M markets has led to higher uncertainty in electricity prices. Electricity, as a commodity, differs from-storability restriction, the most con- spicuous one is the presence of large spikes in electricity prices. Another outcome

  9. ON THE RISK-ADJUSTED PRICING-METHODOLOGY-BASED VALUATION OF VANILLA OPTIONS AND EXPLANATION

    E-Print Network [OSTI]

    Sevcovic, Daniel

    and perform extensive numerical testing of the model and compare the results to real option market data be used in qualitative and quantitative analyses of option market data. 1. Introduction In the past years a volatile portfolio are negligible. On the other hand, if transaction costs like, for example, bid

  10. *See actual finish and fabric options at the Design Center on Campus. *All prices are subject to change and do not include delivery and installation.

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    Hung, I-Kuai

    *See actual finish and fabric options at the Design Center on Campus. *All prices are subject prices are subject to change and do not include delivery and installation. Task Seating Staff (non-historic buildings) #12;*See actual finish and fabric options at the Design Center on Campus. *All prices are subject

  11. POWER '99 Conference 1 Stochastic Models of Electricity Spot Price

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    California at Berkeley. University of

    risks in wholesale and retail markets. · Asset valuation, project selection and financing. ­ Divestiture markets. POWER '99 Conference 4 Application (1): Derivative Pricing Examples: Call Option & Spark Spread electricity spot price spot price Power Marketer Transmission cost? COB: PCOB max( , )S K ST PV loss T COB

  12. Approximation Methods for Pricing Problems under the Nested Logit Model with Price Bounds

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    Rusmevichientong, Paat

    Approximation Methods for Pricing Problems under the Nested Logit Model with Price Bounds W@orie.cornell.edu September 5, 2013 Abstract We consider two variants of a pricing problem under the nested logit model. In the first variant, the set of products offered to customers is fixed and we want to determine the prices

  13. A Multi-period Equilibrium Pricing Model of Weather Derivatives

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    Lee, Yongheon; Oren, Shmuel S.

    2008-01-01

    2002). On modelling and pricing weather derivatives. Applied2003). Arbitrage-fee pricing of weather derivatives based onfects and valuation of weather derivatives. The Financial

  14. A streamlined real options model for Real Estate Development

    E-Print Network [OSTI]

    Barman, Baabak

    2007-01-01

    This thesis introduces a streamlined model that incorporates the value of the real options that exist in real estate development projects. Real options add value to a project by providing developers with flexibility to ...

  15. *See actual finish and fabric options at the Design Center on Campus. *All prices are subject to change and do not include delivery and installation.

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    Hung, I-Kuai

    *See actual finish and fabric options at the Design Center on Campus. *All prices are subject Center on Campus. *All prices are subject to change and do not include delivery and installation. Public on Campus. *All prices are subject to change and do not include delivery and installation. Public Areas

  16. *See actual finish and fabric options at the Design Center on Campus. *All prices are subject to change and do not include delivery and installation.

    E-Print Network [OSTI]

    Hung, I-Kuai

    *See actual finish and fabric options at the Design Center on Campus. *All prices are subject. *All prices are subject to change and do not include delivery and installation. Task Seating Faculty prices are subject to change and do not include delivery and installation. IMPRESS ULTRA by KI Task

  17. *See actual finish and fabric options at the Design Center on Campus. *All prices are subject to change and do not include delivery and installation.

    E-Print Network [OSTI]

    Hung, I-Kuai

    *See actual finish and fabric options at the Design Center on Campus. *All prices are subject at the Design Center on Campus. *All prices are subject to change and do not include delivery and installation Center on Campus. *All prices are subject to change and do not include delivery and installation

  18. *See actual finish and fabric options at the Design Center on Campus. *All prices are subject to change and do not include delivery and installation.

    E-Print Network [OSTI]

    Hung, I-Kuai

    *See actual finish and fabric options at the Design Center on Campus. *All prices are subject. *All prices are subject to change and do not include delivery and installation. Offices Administration prices are subject to change and do not include delivery and installation. Task Seating Administration

  19. A NONGAUSSIAN ORNSTEINUHLENBECK PROCESS FOR ELECTRICITY SPOT PRICE MODELING AND

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    Kallsen, Jan

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

  20. ESTIMATING THE VOLATILITY OF SPOT PRICES IN RESTRUCTURED ELECTRICITY MARKETS AND THE IMPLICATIONS FOR OPTION VALUES

    E-Print Network [OSTI]

    Draft 1e ESTIMATING THE VOLATILITY OF SPOT PRICES IN RESTRUCTURED ELECTRICITY MARKETS depends critically on the specification and estimation of the stochastic process that describes the price path. Accurate valuation of claims based on competitive electricity prices has proved problematic

  1. Model-Checking One-Clock Priced Timed Automata

    E-Print Network [OSTI]

    Doyen, Laurent

    Model-Checking One-Clock Priced Timed Automata Patricia Bouyer1 , Kim G. Larsen2 , and Nicolas, Denmark kgl@cs.aau.dk Abstract. We consider the model of priced (a.k.a. weighted) timed au- tomata, 18, 7]. In particu- lar, as part of this effort, the notion of priced (or weighted) timed automata [4

  2. ModelChecking OneClock Priced Timed Automata

    E-Print Network [OSTI]

    Doyen, Laurent

    Model­Checking One­Clock Priced Timed Automata Patricia Bouyer 1# , Kim G. Larsen 2## , and Nicolas, Denmark kgl@cs.aau.dk Abstract. We consider the model of priced (a.k.a. weighted) timed au­ tomata, 18, 7]. In particu­ lar, as part of this e#ort, the notion of priced (or weighted) timed automata [4

  3. An Economic Model for Pricing Tiered Network Services

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    An Economic Model for Pricing Tiered Network Services Qian Lv, George N. Rouskas Department networks offering tiered services and corresponding price structures, a model that has become preva- lent-) optimal service tiers, we then employ game-theoretic techniques to find an optimal price for each service

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

    SciTech Connect (OSTI)

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

    2005-08-01

    Demand response (DR) has been broadly recognized to be an integral component of well-functioning electricity markets, although currently underdeveloped in most regions. Among the various initiatives undertaken to remedy this deficiency, public utility commissions (PUC) and utilities have considered implementing dynamic pricing tariffs, such as real-time pricing (RTP), and other retail pricing mechanisms that communicate an incentive for electricity consumers to reduce their usage during periods of high generation supply costs or system reliability contingencies. Efforts to introduce DR into retail electricity markets confront a range of basic policy issues. First, a fundamental issue in any market context is how to organize the process for developing and implementing DR mechanisms in a manner that facilitates productive participation by affected stakeholder groups. Second, in regions with retail choice, policymakers and stakeholders face the threshold question of whether it is appropriate for utilities to offer a range of dynamic pricing tariffs and DR programs, or just ''plain vanilla'' default service. Although positions on this issue may be based primarily on principle, two empirical questions may have some bearing--namely, what level of price response can be expected through the competitive retail market, and whether establishing RTP as the default service is likely to result in an appreciable level of DR? Third, if utilities are to have a direct role in developing DR, what types of retail pricing mechanisms are most appropriate and likely to have the desired policy impact (e.g., RTP, other dynamic pricing options, DR programs, or some combination)? Given a decision to develop utility RTP tariffs, three basic implementation issues require attention. First, should it be a default or optional tariff, and for which customer classes? Second, what types of tariff design is most appropriate, given prevailing policy objectives, wholesale market structure, ratemaking practices and standards, and customer preferences? Third, if a primary goal for RTP implementation is to induce DR, what types of supplemental activities are warranted to support customer participation and price response (e.g., interval metering deployment, customer education, and technical assistance)?

  5. Modeling and simulation of consumer response to dynamic pricing.

    SciTech Connect (OSTI)

    Valenzuela, J.; Thimmapuram, P.; Kim, J (Decision and Information Sciences); (Auburn Univ.)

    2012-08-01

    Assessing the impacts of dynamic-pricing under the smart grid concept is becoming extremely important for deciding its full deployment. In this paper, we develop a model that represents the response of consumers to dynamic pricing. In the model, consumers use forecasted day-ahead prices to shift daily energy consumption from hours when the price is expected to be high to hours when the price is expected to be low while maintaining the total energy consumption as unchanged. We integrate the consumer response model into the Electricity Market Complex Adaptive System (EMCAS). EMCAS is an agent-based model that simulates restructured electricity markets. We explore the impacts of dynamic-pricing on price spikes, peak demand, consumer energy bills, power supplier profits, and congestion costs. A simulation of an 11-node test network that includes eight generation companies and five aggregated consumers is performed for a period of 1 month. In addition, we simulate the Korean power system.

  6. Pricing of American retail options Christina Burton, McKay Heasley, Jeffrey Humpherys, Jialin Li

    E-Print Network [OSTI]

    Humpherys, Jeffrey

    and controlling inventories in a retail market. We propose a new class of American put option contracts. However, to improve market efficiency this option contract allows the retailer to freely adjust the sale]. In the retail markets, merchants hold inventories of goods and services much like investors hold portfolios

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

    E-Print Network [OSTI]

    Catholic University of Chile (Universidad Católica de Chile)

    FIRST PRICE AND SECOND PRICE AUCTION MODELLING FOR ENERGY CONTRACTS IN LATIN AMERICAN ELECTRICITY and capacity markets have been investigated for this purpose. Latin American mar- kets are exploring energy and couple the existing outlook of primary energy resources and the investment interest by the private sector

  8. A Threshold Autoregressive Model for Wholesale Electricity Prices

    E-Print Network [OSTI]

    A Threshold Autoregressive Model for Wholesale Electricity Prices B. Ricky Rambharat, Department, 2003 Abstract We introduce a discrete-time model for electricity prices, which accounts for both spikes and temperature effects. The model allows for different mean-reversion rates, one around spikes, and another

  9. The Computation of American Option Price Sensitivities using a Monotone Multigrid Method

    E-Print Network [OSTI]

    Bartels, Soeren

    . Considering the valuation of plain vanilla American stock options, we show that our solution method is compet complementary problems proposed in the literature. Taking derivatives of approximations obtained by hat

  10. A Threshold Autoregressive Model for Wholesale Electricity Prices

    E-Print Network [OSTI]

    A Threshold Autoregressive Model for Wholesale Electricity Prices B. Ricky Rambharat Carnegie Mellon University, U.S.A. October 14, 2003 Summary. We introduce a discrete-time model for electricity rates of mean-reversion: One for weather events, one around price jumps, and another for the remainder

  11. The Capital Asset Pricing Model: Theory and Evidence

    E-Print Network [OSTI]

    Thomas, Anne

    is still widely used in applications, such as estimating the cost of capital for firms and evaluatingThe Capital Asset Pricing Model: Theory and Evidence Eugene F. Fama and Kenneth R. French T he capital asset pricing model (CAPM) of William Sharpe (1964) and John Lintner (1965) marks the birth

  12. Option Pricing for Inventory Management and Control Bryant Angelos, McKay Heasley, and Jeffrey Humpherys

    E-Print Network [OSTI]

    Humpherys, Jeffrey

    inventories in a retail market. Specifically, merchants can buy option contracts on unsold inventories. There are some obvious differences between the cap- ital and retail markets. One notable example expect to see a similar commoditization in the retail markets over time. There are already web services

  13. Taxation and Volatility Effects on Real Option Models: A Study of North Sea Oil Fields 

    E-Print Network [OSTI]

    Moles, Peter; Constantinou, Charalambos; Kretzschmar, Gavin Lee

    2005-01-01

    that failure to incorporate the variable nature of tax into the valuation process leads to an 18 percent over valuation of asset PV and an under valuation of the option price by 19.5 percent. The increased usage of real option techniques in assessing oil field...

  14. Hedging With a Put Option 

    E-Print Network [OSTI]

    Anderson, Carl; Smith, Jackie; McCorkle, Dean; O'Brien, Daniel

    1999-06-23

    Put options are a pricing tool with considerable flexibility for managing price risk. This publication discusses some put option basics, how put options work and how to use them.

  15. Online Pricing with Discounts by a Location Model

    E-Print Network [OSTI]

    Sidorov, Nikita

    , for whom it becomes uneconomic to consult on a day-to-day basis the numerous alternative suppliers of Manchester, Oxford Road, P.O.Box 88, Manchester M60 1QD Keywords: Online pricing; Supplier selection investigates a model for pricing the demand for a set of goods when multiple suppliers operate discount

  16. Pricing Multicasting in More Flexible Network Models Micah Adler

    E-Print Network [OSTI]

    and Shenker [11]. They consider two pricing mechanisms: Marginal Cost and Shapley Value, and provide efficientPricing Multicasting in More Flexible Network Models Micah Adler Dan Rubenstein ¡ Abstract The problem of designing efficient algorithms for sharing the cost of multicasting has recently seen

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

    E-Print Network [OSTI]

    Kulkarni, Siddhivinayak

    2009-01-01

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

  18. 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) -...

  19. 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) -...

  20. Prices

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

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

  1. Prices

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

    Information AdministrationPetroleum Marketing Annual 2002 Table 31. Motor Gasoline Prices by Grade, Sales Type, PAD District, and State (Cents per Gallon Excluding Taxes) -...

  2. Model-based Estimation of Flexibility and Optionability in an Integrated Real Options Framework

    E-Print Network [OSTI]

    Mikaelian, Tsoline

    Uncertainties can be managed through real options that provide a decision maker the right, but not the obligation, to exercise actions at a later time. In previous work we introduced an integrated real options framework ...

  3. Short-Term Energy Outlook Model Documentation: Regional Residential Heating Oil Price Model

    Reports and Publications (EIA)

    2009-01-01

    The regional residential heating oil price module of the Short-Term Energy Outlook (STEO) model is designed to provide residential retail price forecasts for the 4 census regions: Northeast, South, Midwest, and West.

  4. Short-Term Energy Outlook Model Documentation: Regional Residential Propane Price Model

    Reports and Publications (EIA)

    2009-01-01

    The regional residential propane price module of the Short-Term Energy Outlook (STEO) model is designed to provide residential retail price forecasts for the 4 Census regions: Northeast, South, Midwest, and West.

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

    SciTech Connect (OSTI)

    Not Available

    1994-04-07

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

  6. Multinomial Approximating Models for Options Hemantha S. B. Herath* and Pranesh Kumar**

    E-Print Network [OSTI]

    Kumar, Pranesh

    , Johnson 1987, and Stulz 1982). These models are useful for valuing real options having multiple sourcesMultinomial Approximating Models for Options Hemantha S. B. Herath* and Pranesh Kumar** Business@unbc.ca; Tel: (250) 960-6671 #12;2 Multinomial Approximating Models for Options Abstract. We ensure non

  7. Statistical Model Checking for Networks of Priced Timed Automata

    E-Print Network [OSTI]

    David, Alexandre

    Statistical Model Checking for Networks of Priced Timed Automata Alexandre David1 , Kim G. Larsen1- and cost-bounded properties. A second contribution of the paper is the application of Statistical Model-time and hybrid systems with quantitative constraints on time, energy or more general continuous aspects [1

  8. Analysis of Competitive Electricity Markets under a New Model of Real-Time Retail Pricing with

    E-Print Network [OSTI]

    Bhatia, Sangeeta

    Analysis of Competitive Electricity Markets under a New Model of Real-Time Retail Pricing with Ex@tum.de Abstract--In this paper, we propose a new real-time retail pricing model characterized by ex and robustness properties than pure exant´e pricing. Index Terms--Real-Time Pricing, Market Stability, Economic

  9. A SURVEY OF COMMODITY MARKETS AND STRUCTURAL MODELS FOR ELECTRICITY PRICES

    E-Print Network [OSTI]

    Carmona, Rene

    A SURVEY OF COMMODITY MARKETS AND STRUCTURAL MODELS FOR ELECTRICITY PRICES RENE CARMONA AND MICHAEL and the methods which have been proposed to handle them in spot and forward price models. We devote special focus on the important role of other energy prices and fundamental factors in setting the power price

  10. Factors Affecting Option Premium Values 

    E-Print Network [OSTI]

    Johnson, Jason; Smith, Jackie; Dhuyvetter, Kevin C.; Waller, Mark L.

    1999-06-23

    Values Jason Johnson, Jackie Smith, Kevin Dhuyvetter and Mark Waller* Put Options Hedging in the futures market with options is much like buying an insurance policy to protect commodity sellers against declining prices or buyers against ris- ing prices. A...

  11. The Window Strategy with Options 

    E-Print Network [OSTI]

    McCorkle, Dean; Amosson, Stephen H.; Fausett, Marvin

    1999-06-23

    The window strategy is one of several marketing strategies using futures and options to establish a floor price and allow for upside price potential. It also reduces option premium costs. This publication discusses how the ...

  12. Model of world energy markets and OPEC pricing

    SciTech Connect (OSTI)

    Choe, B.J.

    1984-01-01

    This paper presents an analysis of the world energy and petroleum markets, carried out by means of an econometric simulation model. The model accepts a certain pricing path for OPEC crude oil (a price seen as being chosen by OPEC mainly on the basis of its revenue implications) together with assumptions about GDP and population growth, and generates energy balance projections for seven world regions - three industrial country regions and four developing country groups. The demand side of the model consists of three end-use sectors (transportation, industrial and residential/commercial) and one energy transformation sector (thermal power generation). The model presently has an endogenous supply specification only for coal. The performance of the model in simulating the historical period of the 1970s was reasonably satisfactory. Simulation results under a range of assumptions about future economic growth and OPEC pricing portend that world demand for energy and petroleum is likely to remain at relatively low levels throughout the 1980s and the early 1990s. Past and expected petroleum price increases will provide a strong and sustained incentive to substitute away from energy and petroleum; enough to keep the demand for OPEC oil comfortably within OPEC's productive capacity through the early 1990s. Coal will play a key role as a substitute fuel for the next 20 years. About two-thirds of the projected incremental demand for primary energy between 1978 and the year 2000 is accounted for by developing countries. 87 references, 8 figures, 45 tables.

  13. Prices

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: AlternativeMonthly","10/2015"Monthly","10/2015" ,"Release7Cubicthroughthe PriceThousand CubicThousandCubic53.6 53.3 49.368.7

  14. Analysis of Competitive Electricity Markets under a New Model of Real-Time Retail Pricing with

    E-Print Network [OSTI]

    Hirche, Sandra

    Analysis of Competitive Electricity Markets under a New Model of Real-Time Retail Pricing with Ex loop system. Under this pricing mechanism, electricity is priced at the exant´e price (calculated based, dahleh, mitter}@mit.edu Siemens Corporate Technology, Munich, Germany dragan

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

    E-Print Network [OSTI]

    Kallsen, Jan

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

  16. A Dynamic Supply-Demand Model for Electricity Prices Manuela Buzoianu

    E-Print Network [OSTI]

    A Dynamic Supply-Demand Model for Electricity Prices Manuela Buzoianu , Anthony E. Brockwell to as a dynamic supply-demand model, to simultaneously capture electricity price and usage time series. This model, and Duane J. Seppi Abstract We introduce a new model for electricity prices, based on the principle

  17. Loss modeling for pricing catastrophic bonds 

    E-Print Network [OSTI]

    Sircar, Jyotirmoy

    2009-05-15

    loss model in the form of a power curve with upper and lower cut-offs is developed and used in conjunction with the previously defined demand model in order to estimate loss ratios. The loss model is calibrated and validated for different types...

  18. Stochastic Models of Energy Commodity Prices and Their Applications: Mean-reversion with

    E-Print Network [OSTI]

    Stochastic Models of Energy Commodity Prices and Their Applications: Mean-reversion with Jumps usion models to describe energy commodity spot prices. We incorporate multiple jumps, regime-switching and stochastic volatility in these models. Prices of various energy commodity derivatives are obtained under each

  19. A Multi-Price Inventory Model with Random Discount Prices Mohammad Mahdi Tajbakhsh1, Chi-Guhn Lee1,3, Saeed Zolfaghari2

    E-Print Network [OSTI]

    Lee, Chi-Guhn

    A Multi-Price Inventory Model with Random Discount Prices Mohammad Mahdi Tajbakhsh1, Chi-Guhn Lee1 deal offers with a random discount price at random points in time. Assuming that the demand is constant over time, lead times are negligible, discount offerings follow a Poisson process, and discount price

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

    E-Print Network [OSTI]

    Carmona, Rene

    A STRUCTURAL MODEL FOR ELECTRICITY PRICES RENE CARMONA, MICHAEL COULON, AND DANIEL SCHWARZ Abstract. In this paper we propose a new and highly tractable structural approach to spot price modeling and derivative pricing in electricity markets, thus extending the growing branch of liter- ature which describes power

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

    E-Print Network [OSTI]

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

  2. Short-Term Energy Outlook Model Documentation: Petroleum Product Prices Module

    Reports and Publications (EIA)

    2015-01-01

    The petroleum products price module of the Short-Term Energy Outlook (STEO) model is designed to provide U.S. average wholesale and retail price forecasts for motor gasoline, diesel fuel, heating oil, and jet fuel.

  3. Pricing and Proposal Model for the SNOW Automobile

    E-Print Network [OSTI]

    Henry, Shawn P.

    2012-07-27

    ) The United States Defense Acquisition University even has a detailed handbook calculating their PFD estimations for many applications. (Defense Acquisition University 2010) These ranges show how difficult it can be to select an accurate PFD allowance... the following steps are used to implement the model for ongoing use: ? Quick selection of tires with operational options; ? Selection of materials of various construction and thicknesses; ? Six cells to enter miscellaneous percentage or dollar values...

  4. Buyout prices in online auctions

    E-Print Network [OSTI]

    Gupta, Shobhit

    2006-01-01

    Buyout options allow bidders to instantly purchase at a specified price an item listed for sale through an online auction. A temporary buyout option disappears once a regular bid above the reserve price is made, while a ...

  5. Valuation of Information Technology Investments as Real Options

    E-Print Network [OSTI]

    Schwartz, Eduardo S.; Zozaya-Gorostiza, Carlos

    2000-01-01

    1999) A Case for Using Real Options Pricing Analysis toExpansion Using Real Options Analysis. MIS Quarterly. Vol.Investment Opportunities as Real Options: Getting Started on

  6. Extension of a Negative Binomial GARCH Model: Analyzing the Effects of Gasoline Price and VMT on

    E-Print Network [OSTI]

    Pourahmadi, Mohsen

    Extension of a Negative Binomial GARCH Model: Analyzing the Effects of Gasoline Price and VMT. In addition, the relationship between monthly vehicle miles travelled (VMT) and gasoline prices in Texas was also examined. Ultimately, it is concluded that gasoline prices had no significant effect on DUI fatal

  7. IEEE TRANSACTIONS ON POWER SYSTEMS, VOL. 23, NO. 3, AUGUST 2008 877 Electricity Price Curve Modeling

    E-Print Network [OSTI]

    Huo, Xiaoming

    IEEE TRANSACTIONS ON POWER SYSTEMS, VOL. 23, NO. 3, AUGUST 2008 877 Electricity Price Curve approach for the modeling and analysis of electricity price curves by ap- plying the manifold learning results using historical price data taken from the Eastern U.S. electric power markets. Index Terms--Electricity

  8. A semi-Markov model with memory for price changes

    E-Print Network [OSTI]

    D'Amico, Guglielmo

    2011-01-01

    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.

  9. Tractable multi-product pricing under discrete choice models

    E-Print Network [OSTI]

    Keller, Philipp W. (Philipp Wilhelm), 1982-

    2013-01-01

    We consider a retailer offering an assortment of differentiated substitutable products to price-sensitive customers. Prices are chosen to maximize profit, subject to inventory/ capacity constraints, as well as more general ...

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

    E-Print Network [OSTI]

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

    2005-01-01

    Load Response Program – Real Time Option is a unique examplePJM Economic LRP – Real Time Option, PJM Emergency LRPPJM Economic LRP – Real Time Option PowerShare – QuoteOption

  11. A model for pricing data bundles based on minimax risks for estimation of a location parameter

    E-Print Network [OSTI]

    Robertson, Edward L.

    A model for pricing data bundles based on minimax risks for estimation of a location parameter of progress on the fundamental conceptual issues of the mathematical modeling of data, increasingly attention to this line of work; in particular, we propose and analyze a model for the pricing of data when the value

  12. A semi-Markov model for price returns

    E-Print Network [OSTI]

    D'Amico, Guglielmo

    2011-01-01

    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.

  13. Quantum spatial-periodic harmonic model for daily price-limited stock markets

    E-Print Network [OSTI]

    Meng, Xiangyi; Xu, Jingjing; Guo, Hong

    2015-01-01

    We investigate the behavior of stocks in daily price-limited stock markets by purposing a quantum spatial-periodic harmonic model. The stock price is presumed to oscillate and damp in a quantum spatial-periodic harmonic oscillator potential well. Complicated non-linear relations including inter-band positive correlation and intra-band negative correlation between the volatility and the trading volume of stocks are derived by considering the energy band structure of the model. The validity of price limitation is then examined and abnormal phenomena of a price-limited stock market (Shanghai Stock Exchange) of China are studied by applying our quantum model.

  14. Milk Futures, Options and Basis 

    E-Print Network [OSTI]

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

    2001-10-12

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

  15. Approximating European Options by Rebate Barrier Options

    E-Print Network [OSTI]

    Song, Qingshuo

    2011-01-01

    When the underlying stock price is a strict local martingale process under an equivalent local martingale measure, Black-Scholes PDE associated with an European option may have multiple solutions. In this paper, we study an approximation for the smallest hedging price of such an European option. Our results show that a class of rebate barrier options can be used for this approximation, when its rebate and barrier are chosen appropriately. An asymptotic convergence rate is also achieved when the knocked-out barrier moves to infinity under suitable conditions.

  16. Futures pricing in electricity markets based on stable CARMA spot models

    E-Print Network [OSTI]

    Gerkmann, Ralf

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

  17. Analysis of employee stock options and guaranteed withdrawal benefits for life

    E-Print Network [OSTI]

    Shah, Premal (Premal Y.)

    2008-01-01

    In this thesis we study three problems related to financial modeling. First, we study the problem of pricing Employee Stock Options (ESOs) from the point of view of the issuing company. Since an employee cannot trade or ...

  18. Probabilistic Choice Models for Product Pricing using Reservation ...

    E-Print Network [OSTI]

    2007-02-03

    Feb 1, 2007 ... purchase a product can be swayed by the relative prices of similar ...... power of integer and convex nonlinear programming techniques and we ...

  19. Minimizing the Electricity Bill of Cooperative Users under a Quasi-Dynamic Pricing Model

    E-Print Network [OSTI]

    Pedram, Massoud

    advocating that "residential electricity prices must be based on time of use" to fully enable smart gridMinimizing the Electricity Bill of Cooperative Users under a Quasi-Dynamic Pricing Model Safar Hatami and Massoud Pedram University of Southern California Department of Electrical Engineering

  20. Switching Cost, Market Effects and the Pricing Model of e-Commerce , GUO Minyi b

    E-Print Network [OSTI]

    Guo, Minyi

    ;2 phenomena. For instance, switching costs have linked to prices, entry decisions, new product diffusion1 Switching Cost, Market Effects and the Pricing Model of e-Commerce LI Ke a , GUO Minyi b and LI to investigate the role of switching cost, trading efficiency and fixed learning cost in a competitive market

  1. Model-Lite Planning: Diverse Multi-Option Plans & Dynamic Objective Functions Daniel Bryce

    E-Print Network [OSTI]

    Kambhampati, Subbarao

    Model-Lite Planning: Diverse Multi-Option Plans & Dynamic Objective Functions Daniel Bryce}@asu.edu Abstract Knowledge acquisition is one major bottle-neck in using planning systems. Model-lite planning reduces this burden by placing responsibility on the planning system to cope with partially specified

  2. Model-Independent Arbitrage Bounds on American Put

    E-Print Network [OSTI]

    Cox, Alexander

    in the real world. Alternatively, we could use the prices of some liquidly traded options to deduce noModel-Independent Arbitrage Bounds on American Put Options submitted by Christoph Hoeggerl are interested in the pricing of American put options using the latter approach. To this end, we will assume

  3. A Nonlinear Continuous Time Optimal Control Model of Dynamic Pricing and Inventory Control with no

    E-Print Network [OSTI]

    Adida, Elodie

    time optimal control model for studying a dynamic pricing and inventory control problem for a make-to-stock of not introducing any approximation to the real setting: it provides the exact solution of the system. When taking

  4. A REAL OPTIONS OPTIMIZATION MODEL TO MEET AVAILABILITY REQUIREMENTS FOR OFFSHORE WIND TURBINES

    E-Print Network [OSTI]

    Sandborn, Peter

    1 A REAL OPTIONS OPTIMIZATION MODEL TO MEET AVAILABILITY REQUIREMENTS FOR OFFSHORE WIND TURBINES wind farm with prognostic capabilities. Alternative energy sources such as offshore wind turbines-based maintenance. This is especially important for offshore wind farms that require non- traditional resources

  5. Evolution of a Visual Impact Model to Evaluate Nuclear Plant Siting and Design Option1

    E-Print Network [OSTI]

    Evolution of a Visual Impact Model to Evaluate Nuclear Plant Siting and Design Option1 2/ Brian A/ The method can be used to train evaluators to use explicit criteria (vividness, intactness and unity) to assess change in a setting's visual quality as the result of construction of a nuclear facility, or any

  6. Convergence Speed of GARCH Option Price to Diffusion Option Price

    E-Print Network [OSTI]

    Wang, Yazhen

    University of Singapore and University of Toronto Yazhen Wang University of Connecticut and National Science Foundation Jian Zou University of Connecticut To appear in International Journal of Theoretical and Applied of Management, Uni- versity of Toronto. Wang is Professor of Statistics at University of Connecticut and Program

  7. The Food Crises: A quantitative model of food prices including speculators and ethanol conversion

    E-Print Network [OSTI]

    Lagi, Marco; Bertrand, Karla Z; Bar-Yam, Yaneer

    2011-01-01

    Recent increases in basic food prices are severely impacting vulnerable populations worldwide. Proposed causes such as shortages of grain due to adverse weather, increasing meat consumption in China and India, conversion of corn to ethanol in the US, and investor speculation on commodity markets lead to widely differing implications for policy. A lack of clarity about which factors are responsible reinforces policy inaction. Here, for the first time, we construct a dynamic model that quantitatively agrees with food prices. The results show that the dominant causes of price increases are investor speculation and ethanol conversion. Models that just treat supply and demand are not consistent with the actual price dynamics. The two sharp peaks in 2007/2008 and 2010/2011 are specifically due to investor speculation, while an underlying upward trend is due to increasing demand from ethanol conversion. The model includes investor trend following as well as shifting between commodities, equities and bonds to take ad...

  8. Discrete-Time Pricing and Optimal Exercise of American Perpetual Warrants in the Geometric Random Walk Model

    SciTech Connect (OSTI)

    Vanderbei, Robert J., E-mail: rvdb@princeton.edu [Princeton University, Department of Operations Research and Financial Engineering (United States); P Latin-Small-Letter-Dotless-I nar, Mustafa C., E-mail: mustafap@bilkent.edu.tr [Bilkent University, Department of Industrial Engineering (Turkey); Bozkaya, Efe B. [Sabanc Latin-Small-Letter-Dotless-I University, Faculty of Administrative Sciences (Turkey)] [Sabanc Latin-Small-Letter-Dotless-I University, Faculty of Administrative Sciences (Turkey)

    2013-02-15

    An American option (or, warrant) is the right, but not the obligation, to purchase or sell an underlying equity at any time up to a predetermined expiration date for a predetermined amount. A perpetual American option differs from a plain American option in that it does not expire. In this study, we solve the optimal stopping problem of a perpetual American option (both call and put) in discrete time using linear programming duality. Under the assumption that the underlying stock price follows a discrete time and discrete state Markov process, namely a geometric random walk, we formulate the pricing problem as an infinite dimensional linear programming (LP) problem using the excessive-majorant property of the value function. This formulation allows us to solve complementary slackness conditions in closed-form, revealing an optimal stopping strategy which highlights the set of stock-prices where the option should be exercised. The analysis for the call option reveals that such a critical value exists only in some cases, depending on a combination of state-transition probabilities and the economic discount factor (i.e., the prevailing interest rate) whereas it ceases to be an issue for the put.

  9. Financial comparison of time-of-use pricing with technical DSM programs and generating plants as electric-utility resource options

    SciTech Connect (OSTI)

    Hill, L.J.

    1994-04-01

    Changing electricity prices to more closely reflect production costs has a significant impact on the consumption of electricity. It is known, for example, that most of the efficiency gains in the electric power sectors of the industrialized world since the first international oil price shock in 1973 are attributable to the rising trend of electricity prices. This was due to the rising average price of electricity. Because of the unique characteristics of producing electricity, its marginal cost is higher than its average cost during many hours of the day. This study shows that, for utilities not reflecting these cost differences in their rates, there is ample room to satisfy a portion of their resource needs by exploiting the load-shaping properties of time-of-use (TOU) rates. Satisfying a portion of resource requirements by implementing a TOU-pricing program, however, is not costless. Metering and administering TOU pricing requires a financial commitment by an electric utility. And the commitment has an opportunity cost. That is, the funds could be used to construct generating plants or run DSM programs (other than a TOU-pricing program) and satisfy the same resource needs that TOU pricing does. The question addressed in this study is whether a utility is better-served financially by (i) implementing TOU pricing or (ii) running technical DSM programs and building power plants. The answer is that TOU pricing compares favorably on a financial basis with other resources under a wide set of conditions that real-world utilities confront.

  10. Option Markets for Water in California: Effective Management of Water Supply Risk

    E-Print Network [OSTI]

    Williams, Jeffrey

    2007-01-01

    Price Agricultural Node Option Price Table 2. Comparison ofStrike Price (Percentage Above Average Water Value). Tableprice, option value at the higher-value C5 is higher than at C3. Table

  11. Essays on the household-level effects of house price growth

    E-Print Network [OSTI]

    Sitgraves, Claudia Ayanna

    2009-01-01

    Irreversible invest- ment, real options, and competition:land prices: Evidence for real options in seattle. ” JournalGrowth controls, real options, and land development. ” Re-

  12. UPDATE February 2012 - The Food Crises: Predictive validation of a quantitative model of food prices including speculators and ethanol conversion

    E-Print Network [OSTI]

    Lagi, Marco; Bertrand, Karla Z; Bar-Yam, Yaneer

    2012-01-01

    Increases in global food prices have led to widespread hunger and social unrest---and an imperative to understand their causes. In a previous paper published in September 2011, we constructed for the first time a dynamic model that quantitatively agreed with food prices. Specifically, the model fit the FAO Food Price Index time series from January 2004 to March 2011, inclusive. The results showed that the dominant causes of price increases during this period were investor speculation and ethanol conversion. The model included investor trend following as well as shifting between commodities, equities and bonds to take advantage of increased expected returns. Here, we extend the food prices model to January 2012, without modifying the model but simply continuing its dynamics. The agreement is still precise, validating both the descriptive and predictive abilities of the analysis. Policy actions are needed to avoid a third speculative bubble that would cause prices to rise above recent peaks by the end of 2012.

  13. Real Estate Prices and Economic Cycles

    E-Print Network [OSTI]

    Quigley, John M.

    2002-01-01

    in construction and price development were synchronized with3 Models of Housing price Development Based on EconomicTable 4 Models of Housing Price Development Based on Lagged

  14. A Dynamic Network Economic Model of a Service-Oriented Internet with Price and

    E-Print Network [OSTI]

    Nagurney, Anna

    Nagurney Department of Operations and Information Management, Isenberg School of Management, Uni- versity-mail: dongl@som.umass.edu Sara Saberi Department of Operations and Information Management, Isenberg SchoolA Dynamic Network Economic Model of a Service-Oriented Internet with Price and Quality Competition

  15. Reduced form electricity spot price modeling with a view towards spike risk

    E-Print Network [OSTI]

    Gerkmann, Ralf

    Reduced form electricity spot price modeling with a view towards spike risk Prof. Dr. Meyer. Februar 2010, 16:15 Uhr Seminarraum, Ludwigstraße 33 I The recent deregulation of electricity markets has led to the creation of energy exchanges, where the electricity is freely traded. We study the most

  16. IEEE TRANSACTIONS ON POWER SYSTEMS, CHEN, DENG AND HUO. 1 Electricity Price Curve Modeling by Manifold

    E-Print Network [OSTI]

    IEEE TRANSACTIONS ON POWER SYSTEMS, CHEN, DENG AND HUO. 1 Electricity Price Curve Modeling by Manifold Learning Jie Chen, Student Member, IEEE, Shi-Jie Deng, Senior Member, IEEE, and Xiaoming Huo, Senior Member, IEEE Abstract-- This paper proposes a novel non-parametric ap- proach for the analysis

  17. Price Responsiveness in the AEO2003 NEMS Residential and Commercial Buildings Sector Models

    Reports and Publications (EIA)

    2003-01-01

    This paper describes the demand responses to changes in energy prices in the Annual Energy Outlook 2003 versions of the Residential and Commercial Demand Modules of the National Energy Modeling System (NEMS). It updates a similar paper completed for the Annual Energy Outlook 1999 version of the NEMS.

  18. An empirical behavioral model of price formation Szabolcs Mike1, 2

    E-Print Network [OSTI]

    order placement is symmetric, independent of the bid-ask spread, and the same for buying and selling. We on price data, the model produces good predictions for the magnitude and functional form with the mainstream paradigm, but it fails to provide a positive alternative with quantitative predictive power2

  19. Modeling of NOx Destruction Options for INEEL Sodium-Bearing Waste Vitrification

    SciTech Connect (OSTI)

    Wood, Richard Arthur

    2001-09-01

    Off-gas NOx concentrations in the range of 1-5 mol% are expected as a result of the proposed vitrification of sodium-bearing waste at the Idaho National Engineering and Environmental Laboratory. An existing kinetic model for staged combustion (originally developed for NOx abatement from the calcination process) was updated for application to vitrification offgas. In addition, two new kinetic models were developed to assess the feasibility of using selective non-catalytic reduction (SNCR) or high-temperature alone for NOx abatement. Each of the models was developed using the Chemkin code. Results indicate that SNCR is a viable option, reducing NOx levels to below 1000 ppmv. In addition, SNCR may be capable of simultaneously reducing CO emissions to below 100 ppmv. Results for using high-temperature alone were not as promising, indicating that a minimum NOx concentration of 3950 ppmv is achievable at 3344°F.

  20. Price Responsive Demand in New York Wholesale Electricity Market using OpenADR

    SciTech Connect (OSTI)

    Kim, Joyce Jihyun; Kiliccote, Sila

    2012-06-01

    In New York State, the default electricity pricing for large customers is Mandatory Hourly Pricing (MHP), which is charged based on zonal day-ahead market price for energy. With MHP, retail customers can adjust their building load to an economically optimal level according to hourly electricity prices. Yet, many customers seek alternative pricing options such as fixed rates through retail access for their electricity supply. Open Automated Demand Response (OpenADR) is an XML (eXtensible Markup Language) based information exchange model that communicates price and reliability information. It allows customers to evaluate hourly prices and provide demand response in an automated fashion to minimize electricity costs. This document shows how OpenADR can support MHP and facilitate price responsive demand for large commercial customers in New York City.

  1. A Plant-Level Simulation Model for Evaluating CO2 Capture Options

    E-Print Network [OSTI]

    systems Solids Management · Ash pond · Landfill · Stacking · Co-mixing · Byproducts Boiler Types for CCS · CO2 Capture Options PC Plants: - Amine systems (post-combustion) (w/optional aux. NG boiler

  2. Electricity Real Options Valuation

    E-Print Network [OSTI]

    Broszkiewicz-Suwaj, E

    2006-01-01

    In this paper a real option approach for the valuation of real assets is presented. Two continuous time models used for valuation are described: geometric Brownian motion model and interest rate model. The valuation for electricity spread option under Vasicek interest model is placed and the formulas for parameter estimators are calculated. The theoretical part is confronted with real data from electricity market.

  3. Electricity Real Options Valuation

    E-Print Network [OSTI]

    Ewa Broszkiewicz-Suwaj

    2006-08-16

    In this paper a real option approach for the valuation of real assets is presented. Two continuous time models used for valuation are described: geometric Brownian motion model and interest rate model. The valuation for electricity spread option under Vasicek interest model is placed and the formulas for parameter estimators are calculated. The theoretical part is confronted with real data from electricity market.

  4. Real Estate Prices and Economic Cycles

    E-Print Network [OSTI]

    Quigley, John M.

    2002-01-01

    Prices,” Journal of Real Estate Finance and Economics, 3,Mortgage Default Risk and Real Estate Prices: The Use ofFutures and Options in Real Estate,” Journal of Housing

  5. Performance Bonds -Other Than Construction (Mar 2002) (a) Definition. As used in this clause, "original subcontract price" means the award price of

    E-Print Network [OSTI]

    , "original subcontract price" means the award price of the subcontract. Original subcontract price does not include the price of any options, except those options exercised at the time of subcontract award. (b equal to ______ percent of the original subcontract price. (c) The Seller shall furnish all executed

  6. Operation of Distributed Generation Under Stochastic Prices

    SciTech Connect (OSTI)

    Siddiqui, Afzal S.; Marnay, Chris

    2005-11-30

    We model the operating decisions of a commercial enterprisethatneeds to satisfy its periodic electricity demand with either on-sitedistributed generation (DG) or purchases from the wholesale market. Whilethe former option involves electricity generation at relatively high andpossibly stochastic costs from a set of capacity-constrained DGtechnologies, the latter implies unlimited open-market transactions atstochastic prices. A stochastic dynamic programme (SDP) is used to solvethe resulting optimisation problem. By solving the SDP with and withoutthe availability of DG units, the implied option values of the DG unitsare obtained.

  7. Capturing the Impact of Fuel Price on Jet Aircraft Operating Costs with Engineering and Econometric Models

    E-Print Network [OSTI]

    Smirti Ryerson, Megan; Hansen, Mark

    2009-01-01

    Capturing the Impact of Fuel Price on Jet Aircraft OperatingCapturing the Impact of Fuel Price on Jet Aircraft Operatingsurges in the price of fuel as regional jets have lower fuel

  8. Comparing Price Forecast Accuracy of Natural Gas Models and Futures Markets

    E-Print Network [OSTI]

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

    2005-01-01

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

  9. Spatial Analysis of the Relationship between Open Spaces and Property Price in Edinburgh Using Geographically Weighted Regression Model (GWR) 

    E-Print Network [OSTI]

    Wang, Chien-Hen

    Traditionally, the relationship between housing amenity values and property prices has been investigated through the global model (OLS), in which spatial heterogeneity is largely ignored in the regression procedure. This ...

  10. An Empirical Investigation of Price Impact: An Agent-based Modelling Approach

    E-Print Network [OSTI]

    Fernandez, Thomas

    . The first study examines the intraday behaviours of price impact and market liquidity. The data is drawn stocks from the UK markets are analysed. The intraday patterns on price volatility, bid-ask spread for understanding how financial markets function as price impact is one of the mechanisms determining price

  11. Santa Fe Institute. January 4, 2005 11:49 a.m. Farmer page 133 A Random Order Placement Model of Price

    E-Print Network [OSTI]

    of Price Formation in the Continuous Double Auction J. Doyne Farmer L´aszl´o Gillemot Giulia Iori Supriya-field approximations. The model makes testable predictions for all the basic properties of markets, including price volatility, the depth of stored supply and demand, the bid-ask spread, the price impact func- tion

  12. Creating a practical model using real options to evaluate large-scale real estate development projects

    E-Print Network [OSTI]

    Hengels, Adam (Adam P.)

    2005-01-01

    Real Options analysis has only begun to be recognized as way to evaluate real estate and is considered "beyond the cutting edge" of financial analysis. Several academic papers have looked at ways that real estate can be ...

  13. Probability Background Black Scholes for European Call/Put Options Risk-Neutral Measure American Options and Duality Mathematical Finance

    E-Print Network [OSTI]

    Morrow, James A.

    -Neutral Measure American Options and Duality Definition A stochastic process is a family (Xt ) of real valuedProbability Background Black Scholes for European Call/Put Options Risk-Neutral Measure American Options and Duality Mathematical Finance Option Pricing under the Risk-Neutral Measure Cory Barnes

  14. Application of price uncertainty quantification models and their impacts on project evaluations 

    E-Print Network [OSTI]

    Fariyibi, Festus Lekan

    2006-10-30

    This study presents an analysis of several recently published methods for quantifying the uncertainty in economic evaluations due to uncertainty in future oil prices. Conventional price forecasting methods used in the industry typically...

  15. A quantitative model of trading and price formation in nancial markets Marcus G. Daniels, 1 J. Doyne Farmer, 1 L aszl o Gillemot, 1 Giulia Iori, 2 and Eric Smith 1

    E-Print Network [OSTI]

    A quantitative model of trading and price formation in #12;nancial markets Marcus G. Daniels, 1 J y (Dated: January 29, 2002) We use standard physics techniques to model trading and price formation of prices, which is the standard measure of #12;nancial risk, and the spread and price impact functions

  16. Exit Options and Dividend Policy under Liquidity Constraints

    E-Print Network [OSTI]

    Murto, Pauli; Terviö, Marko

    2009-01-01

    optimal exercise of real options. Boyle and Guthrie (2003)described by the standard real option model of optimal exit.

  17. Yardstick and Ex-post Regulation by Norm Model: Empirical Equivalence, Pricing Effect, and Performance in Sweeden

    E-Print Network [OSTI]

    Jamasb, Tooraj; Söderberg, M.

    Contact tooraj.jamasb@econ.cam.ac.uk Publication Financial Support UK Economic and Social Research Council 5 January 2009 Yardstick and Ex-Post Regulation by Norm Model: Empirical Equivalence, Pricing Response, and Firm Performance... . In the regulatory context norm models have been regarded as a means to reduce the information asymmetry between the regulator and the regulated firm. Norm models can be regarded as a bottom-up approach to benchmarking, whereas real firm models of benchmarking...

  18. Examining Uncertainty in Demand Response Baseline Models and Variability in Automated Response to Dynamic Pricing

    SciTech Connect (OSTI)

    Mathieu, Johanna L.; Callaway, Duncan S.; Kiliccote, Sila

    2011-08-15

    Controlling electric loads to deliver power system services presents a number of interesting challenges. For example, changes in electricity consumption of Commercial and Industrial (C&I) facilities are usually estimated using counterfactual baseline models, and model uncertainty makes it difficult to precisely quantify control responsiveness. Moreover, C&I facilities exhibit variability in their response. This paper seeks to understand baseline model error and demand-side variability in responses to open-loop control signals (i.e. dynamic prices). Using a regression-based baseline model, we define several Demand Response (DR) parameters, which characterize changes in electricity use on DR days, and then present a method for computing the error associated with DR parameter estimates. In addition to analyzing the magnitude of DR parameter error, we develop a metric to determine how much observed DR parameter variability is attributable to real event-to-event variability versus simply baseline model error. Using data from 38 C&I facilities that participated in an automated DR program in California, we find that DR parameter errors are large. For most facilities, observed DR parameter variability is likely explained by baseline model error, not real DR parameter variability; however, a number of facilities exhibit real DR parameter variability. In some cases, the aggregate population of C&I facilities exhibits real DR parameter variability, resulting in implications for the system operator with respect to both resource planning and system stability.

  19. Asset Prices and Exchange Rates

    E-Print Network [OSTI]

    Pavlova, Anna

    2004-11-30

    This paper develops a simple two-country, two-good model, in which the real exchange rate, stock and bond prices are jointly determined. The model predicts that stock market prices are correlated ...

  20. A new volatility term in the theory of options with transaction costs

    E-Print Network [OSTI]

    Alexander Morozovsky

    2000-04-03

    The introduction of transaction costs into the theory of option pricing could lead not only to the change of return for options, but also to the change of the volatility. On the base of assumption of the portfolio analysis, a new equation for option pricing with transaction costs is derived. A new solution for the option price is obtained for the time close to expiration date.

  1. Temporary and Permanent Buyout Prices in Online Auctions

    E-Print Network [OSTI]

    Gupta, Shobhit

    Increasingly used in online auctions, buyout prices allow bidders to instantly purchase the item listed. We distinguish two types: a temporary buyout option disappears if a bid above the reserve price is made; a permanent ...

  2. SPOT PRICING FRAMEWORK FOR LOSS GUARANTEED INTERNET SERVICE CONTRACTS

    E-Print Network [OSTI]

    Kalyanaraman, Shivkumar

    . In a two-component approach to pricing, a nonlinear pricing scheme is used for cost recovery and a utility for cost recovery, and (ii) an options-based approach to price the risk of deviations in the loss based QoSPOT PRICING FRAMEWORK FOR LOSS GUARANTEED INTERNET SERVICE CONTRACTS Aparna Gupta Decision

  3. A quantum mechanical model for the relationship between stock price and stock ownership

    SciTech Connect (OSTI)

    Cotfas, Liviu-Adrian [Faculty of Economic Cybernetics, Statistics and Informatics, Academy of Economic Studies, 6 Piata Romana, 010374 Bucharest (Romania)

    2012-11-01

    The trade of a fixed stock can be regarded as the basic process that measures its momentary price. The stock price is exactly known only at the time of sale when the stock is between traders, that is, only in the case when the owner is unknown. We show that the stock price can be better described by a function indicating at any moment of time the probabilities for the possible values of price if a transaction takes place. This more general description contains partial information on the stock price, but it also contains partial information on the stock owner. By following the analogy with quantum mechanics, we assume that the time evolution of the function describing the stock price can be described by a Schroedinger type equation.

  4. A quantum mechanical model for the relationship between stock price and stock ownership

    E-Print Network [OSTI]

    Liviu-Adrian Cotfas

    2012-09-05

    The trade of a fixed stock can be regarded as the basic process that measures its momentary price. The stock price is exactly known only at the time of sale when the stock is between traders, that is, only in the case when the owner is unknown. We show that the stock price can be better described by a function indicating at any moment of time the probabilities for the possible values of price if a transaction takes place. This more general description contains partial information on the stock price, but it also contains partial information on the stock owner. By following the analogy with quantum mechanics, we assume that the time evolution of the function describing the stock price can be described by a Schrodinger type equation.

  5. Open Transmission and Spot Markets for Power: Models of Power and Transmission Pricing on the Western Network

    E-Print Network [OSTI]

    White, Douglas R.

    of an efficient and stable wholesale power market. If the retail market were to achieve a comparable efficiencyMBS 97-07 Open Transmission and Spot Markets for Power: Models of Power and Transmission Pricing markets for electric power by requiring utilities to open their transmission systems to wholesale power

  6. Modeling consumer preferences for status-signaling brands: branding, pricing, and product-line decisions

    E-Print Network [OSTI]

    Becerril Arreola, Rafael

    2013-01-01

    to such products. Hybrid cars, for example, are associatedThus, individuals may use hybrid cars to portray themselvesefficient though expensive hybrid cars. The price premium

  7. The dividend pricing model: New evidence from the Korean housing market

    E-Print Network [OSTI]

    Hwang, Min; Quigley, John M.; Son, Jae-Young

    2006-01-01

    Efficiency and Euphoria in the Housing Market,” Journal ofand Excess Returns in the Housing Market," Journal of theMarket Fundamentals and Housing Price Volatility," Real

  8. What's the Option?

    E-Print Network [OSTI]

    Traeger, Christian

    2013-01-01

    option value. Second, the real options literature developed1994) spread the work on real options analysis to a broadis known as the real options approach. Translated into our

  9. Electronic copy available at: http://ssrn.com/abstract=2046853 Can Agent-Based Models Forecast Spot Prices in Electricity Markets? Evidence from the New

    E-Print Network [OSTI]

    Tesfatsion, Leigh

    Spot Prices in Electricity Markets? Evidence from the New Zealand Electricity Market David Young1 , Stephen Poletti2 , Oliver Browne2 24th January 2012 Abstract Modelling price formation in electricity markets is a notoriously difficult process, due to physical constraints on electricity generation and flow

  10. An Equilibrium Pricing Model for Weather Derivatives in a Multi-commodity Setting

    E-Print Network [OSTI]

    Lee, Yongheon; Oren, Shmuel S.

    2008-01-01

    e?ects and valuation of weather derivatives. The FinancialWei, J. (1999). Pricing weather derivative: an equilibrium2005). An introduction to cme weather products. www.cme.com/

  11. An Hour-Ahead Prediction Model for Heavy-Tailed Spot Prices

    E-Print Network [OSTI]

    Powell, Warren B.

    ...ttng through short-term trading by taking advantage of the large volatilities. Unlike stock prices, it is well markets. For a comparison, stock markets typically have yearly volatilities of 20-30% ([20]). There has

  12. The Dividend Pricing Model: New Evidence from the Korean Housing Market.

    E-Print Network [OSTI]

    Hwang, Min; Quigley, John M.; Son, Jae Young

    2006-01-01

    present value relation for housing prices: should I leave myto owner-occupied housing: an asset market approach. Q Jconditions and quality of housing. Soc Indic Res White H (

  13. Evidence of a Shift in the Short-Run Price Elasticity of Gasoline Demand

    E-Print Network [OSTI]

    Hughes, Jonathan; Knittel, Christopher R; Sperling, Dan

    2007-01-01

    Basic Model TABLE 3 Price and Income Elasticities – BasicSpecifications TABLE 8 Price and Income Elasticities –constant 2000 dollars Table 7 Price Income Interaction Model

  14. Option Value and the Diffusion of Fuel Efficient Vehicles November 3, 2010

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    gasoline prices are low or decreasing, we would expect option value pricing to lead to a perceived gas gallon of gasoline. Assume that the current gasoline price, p0, is known, but that the future cost energy prices combined with the irreversibility of investments into conservation technologies leads

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

    SciTech Connect (OSTI)

    Bolinger, Mark; Wiser, Ryan; Golove, William

    2003-08-13

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

  16. WHAT PRICE PEACE? A COMPREHENSIVE APPROACH

    E-Print Network [OSTI]

    Bateman, Ian J.

    WHAT PRICE PEACE? A COMPREHENSIVE APPROACH TO THE SPECIFICATION AND ESTIMATION OF HEDONIC HOUSING PRICE MODELS by Brett Day, Ian Bateman and Iain Lake CSERGE Working Paper EDM 03-08 WHAT PRICE PEACE? A COMPREHENSIVE APPROACH TO THE SPECIFICATION AND ESTIMATION OF HEDONIC HOUSING PRICE MODELS by Brett Day1 , Ian

  17. Cheese Prices 

    E-Print Network [OSTI]

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

    2003-08-25

    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...

  18. Milk Pricing 

    E-Print Network [OSTI]

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

    2001-09-10

    This publication discusses the federal orders that govern the marketing of milk. The production location and form of the milk product affect the way it is priced. The different classes of milk and their prices are explained in detail....

  19. Essays On Hybrid Bundle Pricing 

    E-Print Network [OSTI]

    Meyer, Jeffrey Dean

    2011-10-21

    model of optimal pricing for hybrid bundles by a monopolist. My results show that an increase in quality variability of the service is generally associated with a higher optimal hybrid bundle price and a lower optimal price of the good, but lower overall...

  20. Class Pricing

    E-Print Network [OSTI]

    Wernerfelt, Birger

    2008-01-15

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

  1. Application of Real Options to Evaluate the Development Process of New Aircraft Models

    E-Print Network [OSTI]

    Miller, Bruno

    2004-01-01

    Investment decisions in the development and production of new aircraft models is difficult because of the technical and market uncertainties associated with such a complex process. The accompanying risks can be

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

    E-Print Network [OSTI]

    van der Meyden, Ron

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

  3. Evaluating Domestic Hot Water Distribution System Options with Validated Analysis Models

    SciTech Connect (OSTI)

    Weitzel, E.; Hoeschele, E.

    2014-09-01

    A developing body of work is forming that collects data on domestic hot water consumption, water use behaviors, and energy efficiency of various distribution systems. Transient System Simulation Tool (TRNSYS) is a full distribution system developed that has been validated using field monitoring data and then exercised in a number of climates to understand climate impact on performance. In this study, the Building America team built upon previous analysis modeling work to evaluate differing distribution systems and the sensitivities of water heating energy and water use efficiency to variations of climate, load, distribution type, insulation and compact plumbing practices. Overall, 124 different TRNSYS models were simulated. The results of this work are useful in informing future development of water heating best practices guides as well as more accurate (and simulation time efficient) distribution models for annual whole house simulation programs.

  4. Uncertainty analysis of an aviation climate model and an aircraft price model for assessment of environmental effects

    E-Print Network [OSTI]

    Jun, Mina

    2007-01-01

    Estimating, presenting, and assessing uncertainties are important parts in assessment of a complex system. This thesis focuses on the assessment of uncertainty in the price module and the climate module in the Aviation ...

  5. A New Asset Pricing Model based on the Zero-Beta CAPM: Theory and Evidence 

    E-Print Network [OSTI]

    Liu, Wei

    2013-05-08

    This work utilizes zero-beta CAPM to derive an alternative form dubbed the ZCAPM. The ZCAPM posits that asset prices are a function of market risk composed of two components: average market returns and cross-sectional market volatility. Market risk...

  6. THE DISCRETE-TIME BINOMIAL ASSET-PRICING MODEL TEDDY NIEMIEC

    E-Print Network [OSTI]

    May, J. Peter

    groundwork, we will enter the second half, in which we investigate the realm of finance. In this part terms. Finally, we will investigate an application of financial math- ematics: the optimal pricing in search of more elementary applicable arithmetic, financial mathematics proves to be a challenging

  7. An Equilibrium Pricing Model for Weather Derivatives in a Multi-commodity Setting

    E-Print Network [OSTI]

    Oren, Shmuel S.

    -day ice storm in February 2003 electricity prices spiked to $990/MWh causing a retail energy provider, representing some three trillion dollars annually, bears some degree of weather and climate risk. Energy be affected by weather. For example, the profit function of energy distribution companies, which are obligated

  8. A Predictive Empirical Model for Pricing and Resource Allocation Wolfgang Ketter

    E-Print Network [OSTI]

    Minnesota, University of

    Queenmax Watergate Mintor Suppliers Agents Customers Figure 1: Schematic overview of a typical TAC SCM game goods. When agents wish to procure parts, they issues RFQs to individual suppliers, and suppliers respond with bids that specify price and availability. Suppliers ship ordered parts on or after the due

  9. Process Options Description for Vitrification Flowsheet Model of INEEL Sodium Bearing Waste

    SciTech Connect (OSTI)

    Nichols, Todd Travis; Taylor, Dean Dalton; Lauerhass, Lance; Barnes, Charles Marshall

    2001-02-01

    The purpose of this document is to provide the technical information to Savannah River Site (SRS) personnel that is required for the development of a basic steady-state process simulation of the vitrification treatment train of sodium bearing waste (SBW) at Idaho National Engineering and nvironmental Laboratory (INEEL). INEEL considers simulation to have an important role in the integration/optimization of treatment process trains for the High Level Waste (HLW) Program. This project involves a joint Technical Task Plan (TTP ID77WT31, Subtask C) between SRS and INEEL. The work scope of simulation is different at the two sites. This document addresses only the treatment of SBW at INEEL. The simulation model(s) is to be built by SRS for INEEL in FY-2001.

  10. Evaluating Domestic Hot Water Distribution System Options With Validated Analysis Models

    SciTech Connect (OSTI)

    Weitzel, E.; Hoeschele, M.

    2014-09-01

    A developing body of work is forming that collects data on domestic hot water consumption, water use behaviors, and energy efficiency of various distribution systems. A full distribution system developed in TRNSYS has been validated using field monitoring data and then exercised in a number of climates to understand climate impact on performance. This study builds upon previous analysis modelling work to evaluate differing distribution systems and the sensitivities of water heating energy and water use efficiency to variations of climate, load, distribution type, insulation and compact plumbing practices. Overall 124 different TRNSYS models were simulated. Of the configurations evaluated, distribution losses account for 13-29% of the total water heating energy use and water use efficiency ranges from 11-22%. The base case, an uninsulated trunk and branch system sees the most improvement in energy consumption by insulating and locating the water heater central to all fixtures. Demand recirculation systems are not projected to provide significant energy savings and in some cases increase energy consumption. Water use is most efficient with demand recirculation systems, followed by the insulated trunk and branch system with a central water heater. Compact plumbing practices and insulation have the most impact on energy consumption (2-6% for insulation and 3-4% per 10 gallons of enclosed volume reduced). The results of this work are useful in informing future development of water heating best practices guides as well as more accurate (and simulation time efficient) distribution models for annual whole house simulation programs.

  11. SUSTAINABLE ENERGY UTILITY DESIGN: OPTIONS

    E-Print Network [OSTI]

    Delaware, University of

    SUSTAINABLE ENERGY UTILITY DESIGN: OPTIONS FOR THE CITY OF SEOUL FINAL REPORT TO SEOUL DEVELOPMENT INSTITUTE APRIL 2008 #12;#12;SUSTAINABLE ENERGY UTILITY DESIGN: OPTIONS FOR THE CITY OF SEOUL Final Report....................................................................................i 1. A New Model for Sustainable Energy Service Delivery.....................1 2. Learning form

  12. Renewable Power Options for Electrical Generation on Kaua'i: Economics and Performance Modeling

    SciTech Connect (OSTI)

    Burman, K.; Keller, J.; Kroposki, B.; Lilienthal, P.; Slaughter, R.; Glassmire, J.

    2011-11-01

    The Hawaii Clean Energy Initiative (HCEI) is working with a team led by the U.S. Department of Energy's (DOE) National Renewable Energy Laboratory (NREL) to assess the economic and technical feasibility of increasing the contribution of renewable energy in Hawaii. This part of the HCEI project focuses on working with Kaua'i Island Utility Cooperative (KIUC) to understand how to integrate higher levels of renewable energy into the electric power system of the island of Kaua'i. NREL partnered with KIUC to perform an economic and technical analysis and discussed how to model PV inverters in the electrical grid.

  13. Process Options Description for Vitrification Flowsheet Model of INEEL Sodium Bearing Waste

    SciTech Connect (OSTI)

    Nichols, T.T.; Taylor, D.D.; Lauerhass, L.; Barnes, C.M.

    2002-02-21

    The technical information required for the development of a basic steady-state process simulation of the vitrification treatment train of sodium bearing waste (SBW) at Idaho National Engineering and Environmental Laboratory (INEEL) is presented. The objective of the modeling effort is to provide the predictive capability required to optimize an entire treatment train and assess system-wide impacts of local changes at individual unit operations, with the aim of reducing the schedule and cost of future process/facility design efforts. All the information required a priori for engineers to construct and link unit operation modules in a commercial software simulator to represent the alternative treatment trains is presented. The information is of a mid- to high-level nature and consists of the following: (1) a description of twenty-four specific unit operations--their operating conditions and constraints, primary species and key outputs, and the initial modeling approaches that will be used in the first year of the simulation's development; (2) three potential configurations of the unit operations (trains) and their interdependencies via stream connections; and (3) representative stream compositional makeups.

  14. Model-Based Analysis of Electric Drive Options for Medium-Duty Parcel Delivery Vehicles: Preprint

    SciTech Connect (OSTI)

    Barnitt, R. A.; Brooker, A. D.; Ramroth, L.

    2010-12-01

    Medium-duty vehicles are used in a broad array of fleet applications, including parcel delivery. These vehicles are excellent candidates for electric drive applications due to their transient-intensive duty cycles, operation in densely populated areas, and relatively high fuel consumption and emissions. The National Renewable Energy Laboratory (NREL) conducted a robust assessment of parcel delivery routes and completed a model-based techno-economic analysis of hybrid electric vehicle (HEV) and plug-in hybrid electric vehicle configurations. First, NREL characterized parcel delivery vehicle usage patterns, most notably daily distance driven and drive cycle intensity. Second, drive-cycle analysis results framed the selection of drive cycles used to test a parcel delivery HEV on a chassis dynamometer. Next, measured fuel consumption results were used to validate simulated fuel consumption values derived from a dynamic model of the parcel delivery vehicle. Finally, NREL swept a matrix of 120 component size, usage, and cost combinations to assess impacts on fuel consumption and vehicle cost. The results illustrated the dependency of component sizing on drive-cycle intensity and daily distance driven and may allow parcel delivery fleets to match the most appropriate electric drive vehicle to their fleet usage profile.

  15. Process Options Description for Steam Reforming Flowsheet Model of INEEL Tank Farm Waste

    SciTech Connect (OSTI)

    Taylor, D.D.; Barnes, C.M.; Nichols, T.T.

    2002-05-21

    Technical information is provided herein that is required for development of a steady-state process simulation of a baseline steam reforming treatment train for Tank Farm waste at the Idaho National Engineering and Environmental Laboratory (INEEL). This document supercedes INEEL/EXT-2001-173, produced in FY2001 to support simulation of the direct vitrification treatment train which was the previous process baseline. A process block flow diagram for steam reforming is provided, together with a list of unit operations which constitute the process. A detailed description of each unit operation is given which includes its purpose, principal phenomena present, expected pressure and temperature ranges, key chemical species in the inlet steam, and the proposed manner in which the unit operation is to be modeled in the steady state process simulation. Models for the unit operations may be mechanistic (based on first principles), empirical (based solely on pilot test data without extrapolation) , or by correlations (based on extrapolative or statistical schemes applied to pilot test data). Composition data for the expected process feed streams is provided.

  16. Essays on Price Dynamics

    E-Print Network [OSTI]

    Hong, Gee Hee

    2012-01-01

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

  17. Housing Price Dynamics in Time and Space: Predictability, Liquidity and Investor Returns

    E-Print Network [OSTI]

    Hwang, Min; Quigley, John M.

    2010-01-01

    period. We model directly the price discovery process formodel of price diffusion, and we incorporate a more general and more appropriate structure of the price discovery process

  18. EXOTIC OPTIONS FOR INTERRUPTIBLE ELECTRICITY SUPPLY CONTRACTS

    E-Print Network [OSTI]

    deregulated electricity markets have shown very little demand elasticity. Price spikes have reached $7000EXOTIC OPTIONS FOR INTERRUPTIBLE ELECTRICITY SUPPLY CONTRACTS RAJNISH KAMAT and SHMUEL S. OREN of financial contracts for the supply and procurement of interruptible electricity service. While the contract

  19. SWING OPTIONS RENE CARMONA AND MICHAEL LUDKOVSKI

    E-Print Network [OSTI]

    Ludkovski, Mike

    with our discussion, we give a few examples of real-life swing contracts. Swing Option in the Natural Gas Market. Consider an industrial natural gas consumer that wishes to hedge their future input costs amount ¯K of the commodity paying the strike price ¯P. In addition, over the life of the contract

  20. Valuation and Optimal Exercise Strategy of Electricity Swing Options.

    E-Print Network [OSTI]

    Dalang, Robert C.

    Valuation and Optimal Exercise Strategy of Electricity Swing Options. Gido Haarbrücker, Daniel Kuhn plateforme de recherche Alexandria https://www.alexandria.unisg.ch | 04.02.2014 Electricity swing options https://www.alexandria.unisg.ch | 04.02.2014 mot-clé energy, derivative pricing, electricity swing

  1. Implied and Local Correlations from Spread Options Rene Carmona

    E-Print Network [OSTI]

    Carmona, Rene

    cor- relation skew examplifies how inaccurate the constant correlation assumption in the multivariate a set of special parameters, and we propose a calibration procedure using option prices on individual. For example, the spark spread option is a spread between natural gas and electric power. The underlying is St

  2. A Spatio-Temporal Model of House Prices in the US

    E-Print Network [OSTI]

    Holly, Sean; Pesaran, M. Hashem; Yamagata, Takashi

    is calibrated by means of a weighting matrix. For example the (i; j) elements of a weighting matrix, wij, could take a value of 1 if the ith and jth areas/regions/countries are contiguous and zero otherwise1. Of course there are many other forms of contiguity... The long-run relation compatible with the theory can be written most conveniently in the following log-linear form: pit = ?i + ? 0 ixit + uit; i = 1; 2; :::; N ; t = 1; 2; :::; T; (3.1) where pit = log(Pit;h=Pit;g) is the logarithm of real price of housing...

  3. Real Options: A Survey

    E-Print Network [OSTI]

    2015-01-04

    (product flexibility) when the price or demand of its products changes. Alternatively, the ... interest rate, currency rate, market share, oil prices, etc. Each source of ...

  4. Scarcity of Ideas and R&D Options: Use it, Lose it or Bank it.

    E-Print Network [OSTI]

    Scotchmer, Suzanne; Erkal, Nisvan

    2009-01-01

    Strategic Delay in a Real Options Model of R&D Competition,"low cost. Our model is a real options model in the spirit ofa value to delay. In many real options models, the value of

  5. Scarcity of Ideas and R&D Options: Use it, Lose it, or Bank it

    E-Print Network [OSTI]

    Scotchmer, Suzanne

    2009-01-01

    Strategic Delay in a Real Options Model of R&D Competition,"ideas; imagination; innovation; real options; search models;low cost. Our model is a real options model in the spirit of

  6. Essays on Pricing Behaviors of Energy Commodities 

    E-Print Network [OSTI]

    Qin, Xiaoyan

    2012-07-16

    This dissertation investigates the pricing behaviors of two major energy commodities, U.S. natural gas and crude oil, using times series models. It examines the relationships between U.S. natural gas price variations and changes in market...

  7. Spot pricing of public utility services

    E-Print Network [OSTI]

    Bohn, Roger E.

    1982-01-01

    This thesis analyzes how public utility prices should be changed over time and space. Earlier static and non spatial models of public utility pricing emerge as special cases of the theory developed here. Electricity is ...

  8. Three essays on product quality and pricing

    E-Print Network [OSTI]

    Nistor, Cristina (Cristina Daniela)

    2012-01-01

    This dissertation consists of three essays on product quality and pricing. Essay 1: Pricing and Quality Provision in a Channel: A Model of Efficient Relational Contracts The first essay analyzes how quality concerns affect ...

  9. Asset Prices and Exchange Rates

    E-Print Network [OSTI]

    Pavlova, Anna

    2003-08-01

    This paper develops a simple two-country, two-good model, in which the real exchange rate, stock and bond prices are jointly determined. The model predicts that ...

  10. PRICE, GEORGE George Price, 1922-1975, trained as a chemist, contrib-

    E-Print Network [OSTI]

    Frank, Steven A.

    powerful expression of his altru- ism theory. In his second contribution, Price developed a model for how

  11. Maryland Efficiency Program Options

    Broader source: Energy.gov [DOE]

    Maryland Efficiency Program Options, from the Tool Kit Framework: Small Town University Energy Program (STEP).

  12. An hour-ahead prediction model for heavy-tailed spot prices Jae Ho Kim, Warren B. Powell

    E-Print Network [OSTI]

    Powell, Warren B.

    . Daily volatilities of 20-30% are common in electricity markets. For a comparison, stock markets market participants about the pos- sibility of pro...ttng through short-term trading by taking advantage of the large volatilities. Unlike stock prices, it is well-known that electricity prices in deregulated markets

  13. Stochastic volatility models with persistent latent factors: theory and its applications to asset prices 

    E-Print Network [OSTI]

    Lee, Hyoung Il

    2008-10-10

    filter. See, e.g., Tanizaki (1996) for a general introduction to the density-based Kalman fil- ter. The second approach applies the standard Bayesian procedure and estimates the unknown parameters and latent factor by their posterior means, which... transition and persistent la- tent factors. We argue that this model has advantages over theconventional stochastic model for the persistent volatility factor. Though the linear filtering is widely used in the state space model, the simulation result, as well...

  14. Renewable Energy Requirements for Future Building Codes: Options for Compliance

    SciTech Connect (OSTI)

    Dillon, Heather E.; Antonopoulos, Chrissi A.; Solana, Amy E.; Russo, Bryan J.

    2011-09-30

    As the model energy codes are improved to reach efficiency levels 50 percent greater than current codes, use of on-site renewable energy generation is likely to become a code requirement. This requirement will be needed because traditional mechanisms for code improvement, including envelope, mechanical and lighting, have been pressed to the end of reasonable limits. Research has been conducted to determine the mechanism for implementing this requirement (Kaufman 2011). Kaufmann et al. determined that the most appropriate way to structure an on-site renewable requirement for commercial buildings is to define the requirement in terms of an installed power density per unit of roof area. This provides a mechanism that is suitable for the installation of photovoltaic (PV) systems on future buildings to offset electricity and reduce the total building energy load. Kaufmann et al. suggested that an appropriate maximum for the requirement in the commercial sector would be 4 W/ft{sup 2} of roof area or 0.5 W/ft{sup 2} of conditioned floor area. As with all code requirements, there must be an alternative compliance path for buildings that may not reasonably meet the renewables requirement. This might include conditions like shading (which makes rooftop PV arrays less effective), unusual architecture, undesirable roof pitch, unsuitable building orientation, or other issues. In the short term, alternative compliance paths including high performance mechanical equipment, dramatic envelope changes, or controls changes may be feasible. These options may be less expensive than many renewable systems, which will require careful balance of energy measures when setting the code requirement levels. As the stringency of the code continues to increase however, efficiency trade-offs will be maximized, requiring alternative compliance options to be focused solely on renewable electricity trade-offs or equivalent programs. One alternate compliance path includes purchase of Renewable Energy Credits (RECs). Each REC represents a specified amount of renewable electricity production and provides an offset of environmental externalities associated with non-renewable electricity production. The purpose of this paper is to explore the possible issues with RECs and comparable alternative compliance options. Existing codes have been examined to determine energy equivalence between the energy generation requirement and the RECs alternative over the life of the building. The price equivalence of the requirement and the alternative are determined to consider the economic drivers for a market decision. This research includes case studies that review how the few existing codes have incorporated RECs and some of the issues inherent with REC markets. Section 1 of the report reviews compliance options including RECs, green energy purchase programs, shared solar agreements and leases, and other options. Section 2 provides detailed case studies on codes that include RECs and community based alternative compliance methods. The methods the existing code requirements structure alternative compliance options like RECs are the focus of the case studies. Section 3 explores the possible structure of the renewable energy generation requirement in the context of energy and price equivalence. The price of RECs have shown high variation by market and over time which makes it critical to for code language to be updated frequently for a renewable energy generation requirement or the requirement will not remain price-equivalent over time. Section 4 of the report provides a maximum case estimate for impact to the PV market and the REC market based on the Kaufmann et al. proposed requirement levels. If all new buildings in the commercial sector complied with the requirement to install rooftop PV arrays, nearly 4,700 MW of solar would be installed in 2012, a major increase from EIA estimates of 640 MW of solar generation capacity installed in 2009. The residential sector could contribute roughly an additional 2,300 MW based on the same code requirement levels of 4 W/ft{sup 2} of r

  15. Multicriteria Spatial Price Networks: Statics and Dynamics

    E-Print Network [OSTI]

    Nagurney, Anna

    Multicriteria Spatial Price Networks: Statics and Dynamics Anna Nagurney Department of Finance: In this paper, we develop a spatial price network equilibrium model in which consumers at the demand markets commodity. We provide the governing equilibrium conditions for the multicriteria spatial price problem

  16. Understanding Crude Oil Prices

    E-Print Network [OSTI]

    Hamilton, James Douglas

    2008-01-01

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

  17. Commitment of Electric Power Generators under Stochastic Market Prices

    E-Print Network [OSTI]

    Mazumdar, Mainak

    that when an electric power producer has the option of trading electricity at market prices, an optimal unitCommitment of Electric Power Generators under Stochastic Market Prices Jorge Valenzuela 1 November 2001 1 Corresponding author. #12;1 Commitment of Electric Power Generators under Stochastic Market

  18. Complex Dynamics in Equilibrium Asset Pricing Models with Boundedly Rational, Heterogeneous

    E-Print Network [OSTI]

    their optimal portfolio and the market equilibrium, investors must compute future aggregate demands for assets] for critiques of equilibrium models and the response [4] by Robert Lucas. 3The Lucas [5] paper is one one

  19. A SPATIO-TEMPORAL MODEL OF HOUSING PRICES BASED ON INDIVIDUAL

    E-Print Network [OSTI]

    Smith, Tony E.

    -mail Address: tesmith@seas.upenn.edu. a Department of Electrical and Systems Engineering, University of these models [CAR(1)] has also been developed by Jones and Boadi-Boateng (1991) [and Jones (1993

  20. Comparing Price Forecast Accuracy of Natural Gas Models and Futures Markets

    E-Print Network [OSTI]

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

    2005-01-01

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

  1. P:\\dtp\\GasPrice\\current\\gp122298new.vp

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

    models were developed in order to determine the amount of time it takes for upstream cost changes to be reflected in downstream price changes. Price passthrough models use...

  2. Solar PV Manufacturing Cost Model Group: Installed Solar PV System Prices (Presentation)

    SciTech Connect (OSTI)

    Goodrich, A. C.; Woodhouse, M.; James, T.

    2011-02-01

    EERE's Solar Energy Technologies Program is charged with leading the Secretary's SunShot Initiative to reduce the cost of electricity from solar by 75% to be cost competitive with conventional energy sources without subsidy by the end of the decade. As part of this Initiative, the program has funded the National Renewable Energy Laboratory (NREL) to develop module manufacturing and solar PV system installation cost models to ensure that the program's cost reduction targets are carefully aligned with current and near term industry costs. The NREL cost analysis team has leveraged the laboratories' extensive experience in the areas of project finance and deployment, as well as industry partnerships, to develop cost models that mirror the project cost analysis tools used by project managers at leading U.S. installers. The cost models are constructed through a "bottoms-up" assessment of each major cost element, beginning with the system's bill of materials, labor requirements (type and hours) by component, site-specific charges, and soft costs. In addition to the relevant engineering, procurement, and construction costs, the models also consider all relevant costs to an installer, including labor burdens and overhead rates, supply chain costs, and overhead and materials inventory costs, and assume market-specific profits.

  3. A Network Modeling Approach Optimization of Internet-Based Advertising Strategies and Pricing

    E-Print Network [OSTI]

    Nagurney, Anna

    A Network Modeling Approach for the Optimization of Internet-Based Advertising Strategies and evaluation of optimal Internet mar- keting strategies when a firm is advertising on multiple websites examples are constructed that demonstrate two paradoxes: (1). that advertising on more websites may reduce

  4. A Cloud Controller for Performance-Based Pricing Drazen Lucanin, Ilia Pietri, Ivona Brandic, Rizos Sakellariou

    E-Print Network [OSTI]

    Sakellariou, Rizos

    , electricity price and temperature traces, estimating energy cost savings up to 32% in certain scenarios. IA Cloud Controller for Performance-Based Pricing Drazen Lucanin, Ilia Pietri, Ivona Brandic, Rizos pricing options are emerging with cloud providers offering resources as a wide range of CPU frequencies

  5. Pricing the American Put Using A New Class of Tight Lower Bounds Malik Magdon-Ismail

    E-Print Network [OSTI]

    Magdon-Ismail, Malik

    , and an important issue is the trade off between the pricing accuracy and the computational cost. Our approachPricing the American Put Using A New Class of Tight Lower Bounds Malik Magdon-Ismail Department of lower bounds for the price of the American put option on a dividend paying stock when the stock follows

  6. Natural Gas Purchasing Options 

    E-Print Network [OSTI]

    Watkins, G.

    1988-01-01

    As a result of economic and regulatory changes, the natural gas marketplace now offers multiple options for purchasers. The purpose of this panel is to discuss short-term purchasing options and how to take advantage of these options both to lower...

  7. TANK SPACE OPTIONS REPORT

    SciTech Connect (OSTI)

    WILLIS WL; AHRENDT MR

    2009-08-11

    Since this report was originally issued in 2001, several options proposed for increasing double-shell tank (DST) storage space were implemented or are in the process of implementation. Changes to the single-shell tank (SST) waste retrieval schedule, completion of DST space saving options, and the DST space saving options in progress have delayed the projected shortfall of DST storage space from the 2007-2011 to the 2018-2025 timeframe (ORP-11242, River Protection Project System Plan). This report reevaluates options from Rev. 0 and includes evaluations of new options for alleviating projected restrictions on SST waste retrieval beginning in 2018 because of the lack of DST storage space.

  8. Real Estate Price Measurement and Stability Crises

    E-Print Network [OSTI]

    Wallace, Nancy

    2011-01-01

    modeling approach, Real Estate Economics 32, 297–328.regression method for real estate price index construction,to redevelop, Journal of Real Estate Finance and Economics

  9. Option valuation of flexible investments : the case of a coal gasifier

    E-Print Network [OSTI]

    Herbelot, Olivier

    1994-01-01

    This paper examines the use of contingent claim analysis to evaluate the option of retrofitting a coal gasifier on an existing gas-fired power plant in order to take advantage of changes in the relative prices of natural ...

  10. Equity Options and Stochastic Interest Rates1

    E-Print Network [OSTI]

    Ouwehand, Peter

    M Acott February 14, 2006 1 The financial assistance of the Department of Labour (DoL) towards risk of equity options except around the Optimal Exercise Boundary of American options, but displays enhanced convexity (i.e. `Gamma'-type risks) over the stochastic interest rate model. #12;Acknowledgements

  11. Fuel Price Forecasts INTRODUCTION

    E-Print Network [OSTI]

    Fuel Price Forecasts INTRODUCTION Fuel prices affect electricity planning in two primary ways and water heating, and other end-uses as well. Fuel prices also influence electricity supply and price turbines. This second effect is the primary use of the fuel price forecast for the Council's Fifth Power

  12. TEXAS TIMBER PRICE TRENDS

    E-Print Network [OSTI]

    TEXAS TIMBER PRICE TRENDS BIMONTHLY MARKET REPORT VOL. 24 NO. 3 May/June 2006 #12;TEXAS TIMBER PRICE TRENDS WHAT IS THE PURPOSE OF THIS REPORT? Texas Timber Price Trends is a bi-monthly publication reporting average prices paid for standing timber, commonly called the "stumpage price," for the two months

  13. TEXAS TIMBER PRICE TRENDS

    E-Print Network [OSTI]

    TEXAS TIMBER PRICE TRENDS BIMONTHLY MARKET REPORT VOL. 24 NO. 4 July/August 2006 #12;TEXAS TIMBER PRICE TRENDS WHAT IS THE PURPOSE OF THIS REPORT? Texas Timber Price Trends is a bi-monthly publication reporting average prices paid for standing timber, commonly called the "stumpage price," for the two months

  14. TEXAS TIMBER PRICE TRENDS

    E-Print Network [OSTI]

    TEXAS TIMBER PRICE TRENDS BIMONTHLY MARKET REPORT VOL. 23 NO. 3 May/June 2005 #12;TEXAS TIMBER PRICE TRENDS WHAT IS THE PURPOSE OF THIS REPORT? Texas Timber Price Trends is a bi-monthly publication reporting average prices paid for standing timber, commonly called the "stumpage price," for the two months

  15. TEXAS TIMBER PRICE TRENDS

    E-Print Network [OSTI]

    TEXAS TIMBER PRICE TRENDS BIMONTHLY MARKET REPORT VOL. 23 NO. 5 September/October 2005 #12;TEXAS TIMBER PRICE TRENDS WHAT IS THE PURPOSE OF THIS REPORT? Texas Timber Price Trends is a bi-monthly publication reporting average prices paid for standing timber, commonly called the "stumpage price

  16. TEXAS TIMBER PRICE TRENDS

    E-Print Network [OSTI]

    TEXAS TIMBER PRICE TRENDS BIMONTHLY MARKET REPORT VOL. 25 NO. 4 July/August 2007 #12;TEXAS TIMBER PRICE TRENDS WHAT IS THE PURPOSE OF THIS REPORT? Texas Timber Price Trends is a bi-monthly publication reporting average prices paid for standing timber, commonly called the "stumpage price," for the two months

  17. TEXAS TIMBER PRICE TRENDS

    E-Print Network [OSTI]

    TEXAS TIMBER PRICE TRENDS BIMONTHLY MARKET REPORT VOL. 23 NO. 6 November/December 2005 #12;TEXAS TIMBER PRICE TRENDS WHAT IS THE PURPOSE OF THIS REPORT? Texas Timber Price Trends is a bi-monthly publication reporting average prices paid for standing timber, commonly called the "stumpage price

  18. TEXAS TIMBER PRICE TRENDS

    E-Print Network [OSTI]

    TEXAS TIMBER PRICE TRENDS BIMONTHLY MARKET REPORT VOL. 22 NO. 5 September/October 2004 #12;TEXAS TIMBER PRICE TRENDS WHAT IS THE PURPOSE OF THIS REPORT? Texas Timber Price Trends is a bi-monthly publication reporting average prices paid for standing timber, commonly called the "stumpage price

  19. TEXAS TIMBER PRICE TRENDS

    E-Print Network [OSTI]

    TEXAS TIMBER PRICE TRENDS BIMONTHLY MARKET REPORT VOL. 24 NO. 1 January/February 2006 #12;TEXAS TIMBER PRICE TRENDS WHAT IS THE PURPOSE OF THIS REPORT? Texas Timber Price Trends is a bi-monthly publication reporting average prices paid for standing timber, commonly called the "stumpage price

  20. TEXAS TIMBER PRICE TRENDS

    E-Print Network [OSTI]

    TEXAS TIMBER PRICE TRENDS BIMONTHLY MARKET REPORT VOL. 22 NO. 2 March/April 2004 #12;TEXAS TIMBER PRICE TRENDS WHAT IS THE PURPOSE OF THIS REPORT? Texas Timber Price Trends is a bi-monthly publication reporting average prices paid for standing timber, commonly called the "stumpage price," for the two months

  1. TEXAS TIMBER PRICE TRENDS

    E-Print Network [OSTI]

    TEXAS TIMBER PRICE TRENDS BIMONTHLY MARKET REPORT VOL. 23 NO. 4 July/August 2005 #12;TEXAS TIMBER PRICE TRENDS WHAT IS THE PURPOSE OF THIS REPORT? Texas Timber Price Trends is a bi-monthly publication reporting average prices paid for standing timber, commonly called the "stumpage price," for the two months

  2. TEXAS TIMBER PRICE TRENDS

    E-Print Network [OSTI]

    TEXAS TIMBER PRICE TRENDS BIMONTHLY MARKET REPORT VOL. 25 NO. 3 May/June 2007 #12;TEXAS TIMBER PRICE TRENDS WHAT IS THE PURPOSE OF THIS REPORT? Texas Timber Price Trends is a bi-monthly publication reporting average prices paid for standing timber, commonly called the "stumpage price," for the two months

  3. TEXAS TIMBER PRICE TRENDS

    E-Print Network [OSTI]

    TEXAS TIMBER PRICE TRENDS BIMONTHLY MARKET REPORT VOL. 24 NO. 6 November/December 2006 #12;TEXAS TIMBER PRICE TRENDS WHAT IS THE PURPOSE OF THIS REPORT? Texas Timber Price Trends is a bi-monthly publication reporting average prices paid for standing timber, commonly called the "stumpage price

  4. TEXAS TIMBER PRICE TRENDS

    E-Print Network [OSTI]

    TEXAS TIMBER PRICE TRENDS BIMONTHLY MARKET REPORT VOL. 24 NO. 2 March/April 2006 #12;TEXAS TIMBER PRICE TRENDS WHAT IS THE PURPOSE OF THIS REPORT? Texas Timber Price Trends is a bi-monthly publication reporting average prices paid for standing timber, commonly called the "stumpage price," for the two months

  5. TEXAS TIMBER PRICE TRENDS

    E-Print Network [OSTI]

    TEXAS TIMBER PRICE TRENDS BIMONTHLY MARKET REPORT VOL. 22 NO. 4 July/August 2004 #12;TEXAS TIMBER PRICE TRENDS WHAT IS THE PURPOSE OF THIS REPORT? Texas Timber Price Trends is a bi-monthly publication reporting average prices paid for standing timber, commonly called the "stumpage price," for the two months

  6. TEXAS TIMBER PRICE TRENDS

    E-Print Network [OSTI]

    TEXAS TIMBER PRICE TRENDS BIMONTHLY MARKET REPORT VOL. 21 NO. 5 September/October 2003 #12;TEXAS TIMBER PRICE TRENDS WHAT IS THE PURPOSE OF THIS REPORT? Texas Timber Price Trends is a bi-monthly publication reporting average prices paid for standing timber, commonly called the "stumpage price

  7. TEXAS TIMBER PRICE TRENDS

    E-Print Network [OSTI]

    TEXAS TIMBER PRICE TRENDS BIMONTHLY MARKET REPORT VOL. 22 NO. 1 January/February 2004 #12;TEXAS TIMBER PRICE TRENDS WHAT IS THE PURPOSE OF THIS REPORT? Texas Timber Price Trends is a bi-monthly publication reporting average prices paid for standing timber, commonly called the "stumpage price

  8. TEXAS TIMBER PRICE TRENDS

    E-Print Network [OSTI]

    TEXAS TIMBER PRICE TRENDS BIMONTHLY MARKET REPORT VOL. 23 NO. 1 January/February 2005 #12;TEXAS TIMBER PRICE TRENDS WHAT IS THE PURPOSE OF THIS REPORT? Texas Timber Price Trends is a bi-monthly publication reporting average prices paid for standing timber, commonly called the "stumpage price

  9. TEXAS TIMBER PRICE TRENDS

    E-Print Network [OSTI]

    TEXAS TIMBER PRICE TRENDS BIMONTHLY MARKET REPORT VOL. 25 NO. 1 January/February 2007 #12;TEXAS TIMBER PRICE TRENDS WHAT IS THE PURPOSE OF THIS REPORT? Texas Timber Price Trends is a bi-monthly publication reporting average prices paid for standing timber, commonly called the "stumpage price

  10. TEXAS TIMBER PRICE TRENDS

    E-Print Network [OSTI]

    TEXAS TIMBER PRICE TRENDS BIMONTHLY MARKET REPORT VOL. 25 NO. 2 March/April 2007 #12;TEXAS TIMBER PRICE TRENDS WHAT IS THE PURPOSE OF THIS REPORT? Texas Timber Price Trends is a bi-monthly publication reporting average prices paid for standing timber, commonly called the "stumpage price," for the two months

  11. TEXAS TIMBER PRICE TRENDS

    E-Print Network [OSTI]

    TEXAS TIMBER PRICE TRENDS BIMONTHLY MARKET REPORT VOL. 21 NO. 6 November/December 2003 #12;TEXAS TIMBER PRICE TRENDS WHAT IS THE PURPOSE OF THIS REPORT? Texas Timber Price Trends is a bi-monthly publication reporting average prices paid for standing timber, commonly called the "stumpage price

  12. TEXAS TIMBER PRICE TRENDS

    E-Print Network [OSTI]

    TEXAS TIMBER PRICE TRENDS BIMONTHLY MARKET REPORT VOL. 22 NO. 6 November/December 2004 #12;TEXAS TIMBER PRICE TRENDS WHAT IS THE PURPOSE OF THIS REPORT? Texas Timber Price Trends is a bi-monthly publication reporting average prices paid for standing timber, commonly called the "stumpage price

  13. TEXAS TIMBER PRICE TRENDS

    E-Print Network [OSTI]

    TEXAS TIMBER PRICE TRENDS BIMONTHLY MARKET REPORT VOL. 22 NO. 3 May/June 2004 #12;TEXAS TIMBER PRICE TRENDS WHAT IS THE PURPOSE OF THIS REPORT? Texas Timber Price Trends is a bi-monthly publication reporting average prices paid for standing timber, commonly called the "stumpage price," for the two months

  14. TEXAS TIMBER PRICE TRENDS

    E-Print Network [OSTI]

    TEXAS TIMBER PRICE TRENDS BIMONTHLY MARKET REPORT VOL. 24 NO. 5 September/October 2006 #12;TEXAS TIMBER PRICE TRENDS WHAT IS THE PURPOSE OF THIS REPORT? Texas Timber Price Trends is a bi-monthly publication reporting average prices paid for standing timber, commonly called the "stumpage price

  15. TEXAS TIMBER PRICE TRENDS

    E-Print Network [OSTI]

    TEXAS TIMBER PRICE TRENDS BIMONTHLY MARKET REPORT VOL. 23 NO. 2 March/April 2005 #12;TEXAS TIMBER PRICE TRENDS WHAT IS THE PURPOSE OF THIS REPORT? Texas Timber Price Trends is a bi-monthly publication reporting average prices paid for standing timber, commonly called the "stumpage price," for the two months

  16. Price controls and international petroleum product prices

    SciTech Connect (OSTI)

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

    1980-02-01

    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.

  17. Steam Pricing 

    E-Print Network [OSTI]

    Jones, K. C.

    1986-01-01

    stream_source_info ESL-IE-86-06-19.pdf.txt stream_content_type text/plain stream_size 30463 Content-Encoding ISO-8859-1 stream_name ESL-IE-86-06-19.pdf.txt Content-Type text/plain; charset=ISO-8859-1 STEAM PRICING... Kenneth C. Jones Shell Oil Company Houston, Texas ABSTRACT Steam is used in many plants to furnish both heat and mechanical energy. It is typically produced in several fired boilers which may operate at different pressures and with different...

  18. Security is Not an Option | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Security is Not an Option Security is Not an Option A 10-year roadmap for achieving control system cyber security in the energy industry has been hailed as a model for other...

  19. Tool to Compare Solar Energy Program Financing Options

    Broader source: Energy.gov [DOE]

    This model is intended to be used for internal discussion purposes and should be used only as a guideline for evaluating the options. The costs for the three options are automatically updated when changes are made to the Key Assumptions.

  20. Understanding Crude Oil Prices

    E-Print Network [OSTI]

    Hamilton, James Douglas

    2008-01-01

    2004. “OPEC’s Optimal Crude Oil Price,” Energy Policy 32(2),the Predictive Accuracy of Crude Oil Futures Prices,” EnergyFigure 3. Price of crude oil contract maturing December of

  1. Overshooting of agricultural prices

    E-Print Network [OSTI]

    Stamoulis, Kostas G.; Rausser, Gordon C.

    1987-01-01

    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,

  2. Understanding Crude Oil Prices

    E-Print Network [OSTI]

    Hamilton, James Douglas

    2008-01-01

    2004. “OPEC’s Optimal Crude Oil Price,” Energy Policy 32(2),023 Understanding Crude Oil Prices James D. Hamilton Junedirectly. Understanding Crude Oil Prices* James D. Hamilton

  3. Appliance Efficiency Standards and Price Discrimination

    SciTech Connect (OSTI)

    Spurlock, Cecily Anna

    2013-05-08

    I explore the effects of two simultaneous changes in minimum energy efficiency and ENERGY STAR standards for clothes washers. Adapting the Mussa and Rosen (1978) and Ronnen (1991) second-degree price discrimination model, I demonstrate that clothes washer prices and menus adjusted to the new standards in patterns consistent with a market in which firms had been price discriminating. In particular, I show evidence of discontinuous price drops at the time the standards were imposed, driven largely by mid-low efficiency segments of the market. The price discrimination model predicts this result. On the other hand, in a perfectly competition market, prices should increase for these market segments. Additionally, new models proliferated in the highest efficiency market segment following the standard changes. Finally, I show that firms appeared to use different adaptation strategies at the two instances of the standards changing.

  4. An overview of alternative fossil fuel price and carbon regulation scenarios

    SciTech Connect (OSTI)

    Wiser, Ryan; Bolinger, Mark

    2004-10-01

    The benefits of the Department of Energy's research and development (R&D) efforts have historically been estimated under business-as-usual market and policy conditions. In recognition of the insurance value of R&D, however, the Office of Energy Efficiency and Renewable Energy (EERE) and the Office of Fossil Energy (FE) have been exploring options for evaluating the benefits of their R&D programs under an array of alternative futures. More specifically, an FE-EERE Scenarios Working Group (the Working Group) has proposed to EERE and FE staff the application of an initial set of three scenarios for use in the Working Group's upcoming analyses: (1) a Reference Case Scenario, (2) a High Fuel Price Scenario, which includes heightened natural gas and oil prices, and (3) a Carbon Cap-and-Trade Scenario. The immediate goal is to use these scenarios to conduct a pilot analysis of the benefits of EERE and FE R&D efforts. In this report, the two alternative scenarios being considered by EERE and FE staff--carbon cap-and-trade and high fuel prices--are compared to other scenarios used by energy analysts and utility planners. The report also briefly evaluates the past accuracy of fossil fuel price forecasts. We find that the natural gas prices through 2025 proposed in the FE-EERE Scenarios Working Group's High Fuel Price Scenario appear to be reasonable based on current natural gas prices and other externally generated gas price forecasts and scenarios. If anything, an even more extreme gas price scenario might be considered. The price escalation from 2025 to 2050 within the proposed High Fuel Price Scenario is harder to evaluate, primarily because few existing forecasts or scenarios extend beyond 2025, but, at first blush, it also appears reasonable. Similarly, we find that the oil prices originally proposed by the Working Group in the High Fuel Price Scenario appear to be reasonable, if not conservative, based on: (1) the current forward market for oil, (2) current oil prices, (3) externally generated oil price forecasts, and (4) the historical difficulty in accurately forecasting oil prices. Overall, a spread between the FE-EERE High Oil Price and Reference scenarios of well over $8/bbl is supported by the literature. We conclude that a wide range of carbon regulation scenarios are possible, especially within the time frame considered by EERE and FE (through 2050). The Working Group's Carbon Cap-and-Trade Scenario is found to be less aggressive than many Kyoto-style targets that have been analyzed, and similar in magnitude to the proposed Climate Stewardship Act. The proposed scenario is more aggressive than some other scenarios found in the literature, however, and ignores carbon banking and offsets and does not allow nuclear power to expand. We are therefore somewhat concerned that the stringency of the proposed carbon regulation scenario in the 2010 to 2025 period will lead to a particularly high estimated cost of carbon reduction. As described in more detail later, we encourage some flexibility in the Working Group's ultimate implementation of the Carbon Cap-and-Trade Scenario. We conclude by identifying additional scenarios that might be considered in future analyses, describing a concern with the proposed specification of the High Fuel Price Scenario, and highlighting the possible difficulty of implementing extreme scenarios with current energy modeling tools.

  5. Retrospective modeling of the merit-order effect on wholesale electricity prices from distributed photovoltaic generation in the

    E-Print Network [OSTI]

    Sandiford, Mike

    -front cost, and this is particularly the case for renewables such as solar photo- voltaic (PV). On a levelised cost basis, solar PV is currently an expensive way to produce electricity. However, solar PV has.8 billion in the market over two years. c The depression of wholesale prices offsets the cost of support

  6. Real Options Valuation of U.S. Federal Renewable Energy Research, Development, Demonstration, and Deployment

    E-Print Network [OSTI]

    Siddiqui, Afzal S.; Marnay, Chris; Wiser, Ryan H.

    2005-01-01

    N ATIONAL L ABORATORY Real Options Valuation of US FederalBerkeley, 18 March 2005 Real Options Valuation of US Federalabove by developing a real options model of RE RD 3 that

  7. A Semi-Lagrangian Approach For American Asian Options Under Jump Diffusion

    E-Print Network [OSTI]

    Forsyth, Peter A.

    to price continuously observed fixed strike Asian options. At each timestep a set of one dimensional on the average price of the underlying asset over a specified period of time. Asian-style derivatives have a wide variety of applications in equity, energy, interest rate, and insurance markets. To the best of our

  8. Assuring Generation Adequacy through Call Option Obligations Shmuel S. Oren, Fellow IEEE

    E-Print Network [OSTI]

    Oren, Shmuel S.

    operators and competitive markets for retail service, including open access to transmission for independent technological barriers to demand response, local market power, and price caps due to political aversion to price service options. The means included regional wholesale markets managed by regulated transmission system

  9. Hedging Quantity Risks with Standard Power Options in a Competitive Wholesale Electricity Market

    E-Print Network [OSTI]

    Oren, Shmuel S.

    Hedging Quantity Risks with Standard Power Options in a Competitive Wholesale Electricity MarketScience (www.interscience.wiley.com). Abstract: This paper addresses quantity risk in the electricity market-serving entity, which provides electricity service at a regulated price in electricity markets with price

  10. Determinants of official OPEC crude prices

    SciTech Connect (OSTI)

    Verleger, P.K. Jr.

    1982-05-01

    The hypothesis of this paper is that crude oil, like any other unfinished commodity, is valued for the products derived from it; the purpose is to offer an empirical explanation for changes in the crude price charged by the members of OPEC. The model results show that the market-clearing prices reported to prevail for petroleum products on the principal petroleum spot market at Rotterdam are the primary determinants of changes in official crude prices. A systematic relationship between offical and spot prices is argued to have prevailed since 1974. An appendix clarifies five types of data required for the model. 13 references, 4 tables.

  11. Greenhouse Gas Mitigation Options in ISEEM Global Energy Model: 2010-2050 Scenario Analysis for Least-Cost Carbon Reduction in Iron and Steel Sector

    E-Print Network [OSTI]

    Karali, Nihan

    2014-01-01

    forecast future prices of all the raw materials, coking coal andprices of coking coal and coke using China’s production as input in the forecastforecasts for the period 2010-2035 are used to project future prices of the energy sources other than coking coal and

  12. Risk neutral valuation of options in multi-period discrete-time markets

    E-Print Network [OSTI]

    Risk neutral valuation of options in multi- period discrete-time markets In this lecture we study is the discounted expectation of its payoff under a martingale measure and use it to price call and put options Let F be an algebra of subsets of the finite sample space . Definition. A real-valued function (or

  13. International transmission of oil price effects and the derivation of optimal oil prices

    SciTech Connect (OSTI)

    Marquez, J.R.

    1983-01-01

    The purpose of this dissertation is to study the international transmission of oil-price effects and the derivation of optimal oil prices not as two separate problems but rather as one problem by recognizing that changes in oil prices affect real income of oil importers and thus feed back to the demand for oil faced by OPEC. To study the international transmission of oil price changes, the author develops a three-region world model where real income, prices, and international trade are endogenously determined. With this model he derives the comparative statics of oil price changes. He also analyzes the feedback effect of oil price changes, allowing for counterinflationary policies in oil-importing countries. A modified version of the theoretical model is econometrically estimated with data for 1960-1979. The quantitative dimension of oil price changes using dynamic multipliers is studied. Also studied are the impacts of restrictive fiscal policy in DC's, greater absorption by OPEC, and increased financial transfers to LDC's on real income, in the international oil market, on inflation, and on international trade of manufacturers and raw materials. It was found that not recognizing the feedback effects of oil price increases introduces a significant upward bias in the total price elasticity and in the optimal oil price path, neither of which is consistent with OPEC's best interest.

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

    E-Print Network [OSTI]

    Roozbehani, Mardavij

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

  15. Wireless Network Capacity Management: A Real Options Approach

    E-Print Network [OSTI]

    Forsyth, Peter A.

    Wireless Network Capacity Management: A Real Options Approach Y. d'Halluin , P.A. Forsyth , and K factor algorithm is developed, based on a real options formulation. Numerical examples are provided to illustrate various aspects of the model. Keywords: real options, optimal network planning decisions, network

  16. CANNED FISH RETAIL PRICES

    E-Print Network [OSTI]

    CANNED FISH RETAIL PRICES NOVEMBER 1958 UNITED STATES DEPARTMENT OF THE INTERIOR FISH AND WILDLIFE retail prices for selected canned fish items. The retail prices as contained herein for several types. Department of Labor in order to provide information on price levels in different cities. This issue contains

  17. CANNED FISH RETAIL .PRICES,

    E-Print Network [OSTI]

    CANNED FISH RETAIL .PRICES, OC1rOIBrE~ UNITED STATES DEPARTMENT OF THE INT...n.~""n FISH retail prices for selected canned fish items. The retail prices as contained herein for several types. Department of Labor in order to provide information on price levels in different cities. This issue contains

  18. Three Essays on Retail Price Dynamics

    E-Print Network [OSTI]

    Elberg, Andres

    2010-01-01

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

  19. The Antecedents and Consequences of Price Fairness in Tourism 

    E-Print Network [OSTI]

    Chung, Jin Young

    2012-02-14

    domestic flights in the past 12 months. The initial model fit the data well from a global perspective, yet, some hypotheses were not supported. Results suggested that price comparison evaluation and cognitive attribution are antecedents to price fairness...

  20. Nonlinear Pricing Strategies and Market Concentration in the Airline Industry 

    E-Print Network [OSTI]

    Hernandez Garcia, Manuel A.

    2010-10-12

    This dissertation investigates the effect of market concentration on nonlinear pricing strategies in the airline industry. The study develops a theoretical nonlinear pricing model with both discrete product and consumer types to derive testable...

  1. Volatility of Power Grids Under Real-Time Pricing

    E-Print Network [OSTI]

    Roozbehani, Mardavij

    The paper proposes a framework for modeling and analysis of the dynamics of supply, demand, and clearing prices in power systems with real-time retail pricing and information asymmetry. Characterized by passing on the ...

  2. Greenhouse Gas Mitigation Options in ISEEM Global Energy Model: 2010-2050 Scenario Analysis for Least-Cost Carbon Reduction in Iron and Steel Sector

    SciTech Connect (OSTI)

    Karali, Nihan; Xu, Tengfang; Sathaye, Jayant

    2013-12-01

    The goal of the modeling work carried out in this project was to quantify long-term scenarios for the future emission reduction potentials in the iron and steel sector. The main focus of the project is to examine the impacts of carbon reduction options in the U.S. iron and steel sector under a set of selected scenarios. In order to advance the understanding of carbon emission reduction potential on the national and global scales, and to evaluate the regional impacts of potential U.S. mitigation strategies (e.g., commodity and carbon trading), we also included and examined the carbon reduction scenarios in China’s and India’s iron and steel sectors in this project. For this purpose, a new bottom-up energy modeling framework, the Industrial Sector Energy Efficiency Modeling (ISEEM), (Karali et al. 2012) was used to provide detailed annual projections starting from 2010 through 2050. We used the ISEEM modeling framework to carry out detailed analysis, on a country-by-country basis, for the U.S., China’s, and India’s iron and steel sectors. The ISEEM model applicable to iron and steel section, called ISEEM-IS, is developed to estimate and evaluate carbon emissions scenarios under several alternative mitigation options - including policies (e.g., carbon caps), commodity trading, and carbon trading. The projections will help us to better understand emission reduction potentials with technological and economic implications. The database for input of ISEEM-IS model consists of data and information compiled from various resources such as World Steel Association (WSA), the U.S. Geological Survey (USGS), China Steel Year Books, India Bureau of Mines (IBM), Energy Information Administration (EIA), and recent LBNL studies on bottom-up techno-economic analysis of energy efficiency measures in the iron and steel sector of the U.S., China, and India, including long-term steel production in China. In the ISEEM-IS model, production technology and manufacturing details are represented, in addition to the extensive data compiled from recent studies on bottom-up representation of efficiency measures for the sector. We also defined various mitigation scenarios including long-term production trends to project country-specific production, energy use, trading, carbon emissions, and costs of mitigation. Such analyses can provide useful information to assist policy-makers when considering and shaping future emissions mitigation strategies and policies. The technical objective is to analyze the costs of production and CO{sub 2} emission reduction in the U.S, China, and India’s iron and steel sectors under different emission reduction scenarios, using the ISEEM-IS as a cost optimization model. The scenarios included in this project correspond to various CO{sub 2} emission reduction targets for the iron and steel sector under different strategies such as simple CO{sub 2} emission caps (e.g., specific reduction goals), emission reduction via commodity trading, and emission reduction via carbon trading.

  3. Expected annual electricity bill savings for various PPA price options |

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION J APPENDIX E LISTStar2-0057-EA Jump to:ofEnia SpA JumpGmbH EFC JumpPennsylvania) Jump to:Open

  4. Modeling the U.S. Rooftop Photovoltaics Market

    SciTech Connect (OSTI)

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

    2010-09-01

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

  5. Mathematics & Degree options

    E-Print Network [OSTI]

    Brierley, Andrew

    132 Mathematics & Statistics Degree options MMath (Single Honours Degrees) Mathematics Applied Mathematics Pure Mathematics Statistics BSc or MA (Single Honours Degrees) Mathematics Statistics [If you wish (Joint Honours Degrees) Mathematics and one of: Biology Chemistry Computer Science Economics Geography

  6. Mathematics & Degree options

    E-Print Network [OSTI]

    Brierley, Andrew

    122 Mathematics & Statistics Degree options MMath (Single Honours Degrees) Mathematics Applied Mathematics Pure Mathematics Statistics BSc or MA (Single Honours Degrees) Mathematics Statistics [If you wish (Joint Honours Degrees) Mathematics and one of: Biology Chemistry Computer Science Economics Statistics

  7. Physics & Astronomy Degree options

    E-Print Network [OSTI]

    Brierley, Andrew

    138 Physics & Astronomy Degree options BSc (Single Honours Degrees) Astrophysics Physics MPhys (Single Honours Degrees) Astrophysics Physics Theoretical Physics BSc (Joint Honours Degrees) Physics combinations is under review. MPhys (Joint Honours Degree) Theoretical Physics and Mathematics MSci (Joint

  8. Physics & Astronomy Degree options

    E-Print Network [OSTI]

    Brierley, Andrew

    148 Physics & Astronomy Degree options BSc (Single Honours Degrees) Astrophysics Physics MPhys (Single Honours Degrees) Astrophysics Physics Theoretical Physics BSc (Joint Honours Degrees) Physics) Theoretical Physics and Mathematics MSci (Joint Honours Degree) Physics and Chemistry Entrance Requirements

  9. PowerOptions RFP

    Broader source: Energy.gov [DOE]

    PowerOptions seeks proposals from qualified and experienced renewable energy project developers interested in providing renewable energy and Renewable Energy Credit (RECs) generated from renewable energy projects located in or deliverable to the ISO-NE.

  10. Biochemistry Career Options

    E-Print Network [OSTI]

    Walker, Lawrence R.

    Biochemistry Career Options · applied researcher · pharmaceutical researcher · research chemist · Testing and inspection professional MAJOR TO CAREER GUIDE B.S. Biochemistry College of Sciences www Program: M.S. in Biochemistry Our graduate programs offer exceptional research opportunities for advanced

  11. Assessing Renewable Energy Options

    Broader source: Energy.gov [DOE]

    Federal agencies should assess renewable energy options for each specific project when integrating renewable energy in new building construction or major renovations. This section covers the preliminary screening, screening, feasibility study, and sizing and designing systems phases.

  12. Biochemistry Career Options

    E-Print Network [OSTI]

    Walker, Lawrence R.

    Biochemistry Career Options · applied researcher · pharmaceutical researcher · research chemist, geoscience, mathematical sciences, physics and astronomy, and water management. The college has created.S. in Water Resources Management Ph.D. in Radiochemistry Professional and Student Organizations: Biochemistry

  13. Lending Program Administration Options

    Broader source: Energy.gov [DOE]

    Lending program options and brief profiles of different approaches to clean energy lending are presented here. Each profile describes a different way to structure the various elements of a lending...

  14. Open Automated Demand Response Dynamic Pricing Technologies and Demonstration

    SciTech Connect (OSTI)

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

    2010-08-02

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

  15. Options Study - Phase II

    SciTech Connect (OSTI)

    R. Wigeland; T. Taiwo; M. Todosow; W. Halsey; J. Gehin

    2010-09-01

    The Options Study has been conducted for the purpose of evaluating the potential of alternative integrated nuclear fuel cycle options to favorably address the issues associated with a continuing or expanding use of nuclear power in the United States. The study produced information that can be used to inform decisions identifying potential directions for research and development on such fuel cycle options. An integrated nuclear fuel cycle option is defined in this study as including all aspects of the entire nuclear fuel cycle, from obtaining natural resources for fuel to the ultimate disposal of used nuclear fuel (UNF) or radioactive wastes. Issues such as nuclear waste management, especially the increasing inventory of used nuclear fuel, the current uncertainty about used fuel disposal, and the risk of nuclear weapons proliferation have contributed to the reluctance to expand the use of nuclear power, even though it is recognized that nuclear power is a safe and reliable method of producing electricity. In this Options Study, current, evolutionary, and revolutionary nuclear energy options were all considered, including the use of uranium and thorium, and both once-through and recycle approaches. Available information has been collected and reviewed in order to evaluate the ability of an option to clearly address the challenges associated with the current implementation and potential expansion of commercial nuclear power in the United States. This Options Study is a comprehensive consideration and review of fuel cycle and technology options, including those for disposal, and is not constrained by any limitations that may be imposed by economics, technical maturity, past policy, or speculated future conditions. This Phase II report is intended to be used in conjunction with the Phase I report, and much information in that report is not repeated here, although some information has been updated to reflect recent developments. The focus in this Options Study was to identify any nuclear fuel cycle technology or option that may result in a significant beneficial impact to the issues as compared to the current U.S. approach of once-through use of nuclear fuel in LWRs or similar reactors followed by direct disposal of UNF. This approach was taken because incremental differences may be difficult to clearly identify and justify due to the large uncertainties that can be associated with the specific causes of the issues. Phase II of this Options Study continued the review of nuclear fuel cycle options that was initiated and documented during Phase I, concentrating on reviewing and summarizing the potential of integrated nuclear fuel cycles. However, based on the reviews of previous studies and available data, it was not always possible to clearly determine sufficiently large differences between the various fuel cycle and technology options for some of the issues or evaluation measures, for example, in cases where only incremental differences with respect to the issues might be achieved regardless of the fuel cycle option or technologies being considered, or where differences were insufficient to clearly rise above the uncertainties.

  16. Durable Goods, Price Indexes, and Monetary Policy 

    E-Print Network [OSTI]

    Han, Kyoung Soo

    2009-05-15

    and non-durable goods. In the models with durable goods, the COLI (Cost of Living Index) and the PPI (Producer Price Index) identical to the CPI (Consumer Price Index) measured by the acquisitions approach are distinguished, and the COLI/PPI ratio plays...

  17. The Effect of Energy Prices on Operation and Investment in OECD Countries: Evidence from the Vintage Capital Model

    E-Print Network [OSTI]

    Steinbuks, J.; Meshreky, A.; Neuhoff, Karsten

    by 2020. This analysis, however, excludes the rebound e¤ect27. To quantify the rebound e¤ect, we predict an increase in the share of energy service consumption Sji;t due to greenhouse tax induced improvements in energy e¢ ciency of capital stock (holding... other factors constant), and convert these changes in level terms. The rebound e¤ect is the di¤erence in price-induced energy consumption with and without adjustments for changes in share of energy service. Our calculations show a long-run rebound e...

  18. A Review of the International Modeling Literature: Transit, Land Use, and Auto Pricing Strategies to Reduce Vehicle Miles Traveled and Greenhouse Gas Emissions

    E-Print Network [OSTI]

    Rodier, Caroline J.

    2009-01-01

    California Department of Transportation (Caltrans), California EnergyTransportation Pricing Strategies for California: An Assessment of Congestion, Emissions, Energy,

  19. Option values of low carbon technology policies

    E-Print Network [OSTI]

    Finon, Dominique; Meunier, Guy

    2012-06-19

    that should be installed in the first period is 1D and the production capacity that should be built in the second period is 2D . The demand is assumed inelastic in order to simplify the analytical model, this assumption is relaxed... to be a major option for reducing emissions from the electricity industry, which is the main emitting industrial sector. The most promising options are: carbon capture and storage (CCS), the new nuclear, solar thermal plants...

  20. Edit Test Options Page 1 Edit Test Options

    E-Print Network [OSTI]

    Xu, Shouhuai

    Edit Test Options Page 1 Edit Test Options Format Test Information 1. Enter a Name for the Test. 2. Choose a color for the title text of the Test. (Optional) 3. Enter a Description in the Text Box. The description is visible to Students before they click on the link to take the Test. (Optional) 4. If you want

  1. In-car Airway Options for NASCAR Drivers

    E-Print Network [OSTI]

    Dyreyes, Jonathan Q; Grange, Jeff; Smith, Dustin; Jin, Peter; Guldner, Greg

    2008-01-01

    Medicine Background: “Stock car” drivers may require anpresentation pregnancy. In-car Airway Options for NASCARhelmeted, and apneic stock car driver simulation model.

  2. Pawnee Nation Energy Option Analyses

    SciTech Connect (OSTI)

    Matlock, M.; Kersey, K.; Riding In, C.

    2009-07-31

    In 2003, the Pawnee Nation leadership identified the need for the tribe to comprehensively address its energy issues. During a strategic energy planning workshop a general framework was laid out and the Pawnee Nation Energy Task Force was created to work toward further development of the tribe’s energy vision. The overarching goals of the “first steps” project were to identify the most appropriate focus for its strategic energy initiatives going forward, and to provide information necessary to take the next steps in pursuit of the “best fit” energy options. Based on the request of Pawnee Nation’s Energy Task Force the research team, consisting Tribal personnel and Summit Blue Consulting, focused on a review of renewable energy resource development potential, funding sources and utility organizational along with energy savings options. Elements of the energy demand forecasting and characterization and demand side options review remained in the scope of work, but were only addressed at a high level. Description of Activities Performed Renewable Energy Resource Development Potential The research team reviewed existing data pertaining to the availability of biomass (focusing on woody biomass, agricultural biomass/bio-energy crops, and methane capture), solar, wind and hydropower resources on the Pawnee-owned lands. Using these data, combined with assumptions about costs and revenue streams, the research team performed preliminary feasibility assessments for each resource category. The research team also reviewed available funding resources and made recommendations to Pawnee Nation highlighting those resources with the greatest potential for financially-viable development, both in the near-term and over a longer time horizon. Energy Efficiency Options While this was not a major focus of the project, the research team highlighted common strategies for reducing energy use in buildings. The team also discussed the benefits of adopting a building energy code and introduced two model energy codes Pawnee Nation should consider for adoption. Summary of Current and Expected Future Electricity Usage The research team provided a summary overview of electricity usage patterns in current buildings and included discussion of known plans for new construction. Utility Options Review Pawnee Nation electric utility options were analyzed through a four-phase process, which included: 1) summarizing the relevant utility background information; 2) gathering relevant utility assessment data; 3) developing a set of realistic Pawnee electric utility service options, and 4) analyzing the various Pawnee electric utility service options for the Pawnee Energy Team’s consideration. III. Findings and Recommendations Due to a lack of financial incentives for renewable energy, particularly at the state level, combined mediocre renewable energy resources, renewable energy development opportunities are limited for Pawnee Nation. However, near-term potential exists for development of solar hot water at the gym, and an exterior wood-fired boiler system at the tribe’s main administrative building. Pawnee Nation should also explore options for developing LFGTE resources in collaboration with the City of Pawnee. Significant potential may also exist for development of bio-energy resources within the next decade. Pawnee Nation representatives should closely monitor market developments in the bio-energy industry, establish contacts with research institutions with which the tribe could potentially partner in grant-funded research initiatives. In addition, a substantial effort by the Kaw and Cherokee tribes is underway to pursue wind development at the Chilocco School Site in northern Oklahoma where Pawnee is a joint landowner. Pawnee Nation representatives should become actively involved in these development discussions and should explore the potential for joint investment in wind development at the Chilocco site.

  3. Capital Markets and the Pricing

    E-Print Network [OSTI]

    Schubart, Christoph

    Portfolios 10.7 Measuring Systematic Risk 10.8 Beta and the Cost of Capital #12;Copyright ©2014 Pearson Asset Pricing Model to calculate the cost of capital for a particular project. 12.Explain why in an efficient capital market the cost of capital depends on systematic risk rather than diversifiable risk. #12

  4. Oil prices spike to over barreland price

    E-Print Network [OSTI]

    Oil prices spike to over $145/ barreland price of electricity exceeds $0.50/kWh in U.S. Virgin installs waste heat recovery plant, adding19 MWofpower withoutburningasingledropof additionaloil VIEO Biomass Grid Waste-to- Energy Landfill Gas LEGEND Solar EDIN Energy Development in Island Nations EDIN

  5. Understanding International Price Submitted in partial fulfillment of the requirements for

    E-Print Network [OSTI]

    Sadeh, Norman M.

    on their rivals costs and face international trade frictions, they optimally choose to price to market. The model, we use this time period to test the basic prediction of the trade cost model that price dispersion on microeconomic trade costs and prices. We construct trade-weighted averages for price dispersion and trade costs

  6. The Minimum Price Contract 

    E-Print Network [OSTI]

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

    2008-10-17

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

  7. Gas option: America's least-cost energy strategy

    SciTech Connect (OSTI)

    Lawrence, G.H.

    1980-05-17

    Public energy policy which acknowledges the gas option as having significant potential will increase supply incentives while decreasing demand restraints. The arguments developed by the Mellon Institute and others confirm the need to reject the Title II incremental pricing and the need to implement the Building Energy Performance Standards (BEPS). Positive evidence that proved reserves are higher than was thought has prompted the gas industry to fight incremental pricing as a barrier to a least-cost national energy strategy. BEPS, on the other hand, encourages more efficient use without eliminating industrial use. (DCK)

  8. Continuous time analysis of fleeting discrete price moves Neil Shephard

    E-Print Network [OSTI]

    Wolfe, Patrick J.

    ) a high proportion of price changes are reversed in a fraction of a second. Our model is analytically`adl`ag price process is a piecewise constant semimartingale with finite activity, finite variation change in continuous time; (iii) a high proportion of price changes are fleeting, reversed in a fraction

  9. Oil-Price Shocks: Beyond Standard Aggregate Demand/Aggregate

    E-Print Network [OSTI]

    Dahlquist, Kam D.

    Oil-Price Shocks: Beyond Standard Aggregate Demand/Aggregate Supply Analysis S. Kirk Elwood Abstract: The author explores the problems of portraying oil-price shocks using the aggregate demand/aggregate supply model. Although oil-price shocks are the most commonly cited examples of aggregate supply shocks

  10. Market Maker Inventories and Stock Prices Terrence Hendershott

    E-Print Network [OSTI]

    Kearns, Michael

    in intraday trading and price formation.2 This paper examines the relationship between closing market makerMarket Maker Inventories and Stock Prices Terrence Hendershott U.C. Berkeley Mark S. Seasholes U prices follow naturally from inventory models. Liquidity suppliers and market markers profit from

  11. CSEM WP 120 Asymmetric Price Adjustment and Consumer Search

    E-Print Network [OSTI]

    California at Berkeley. University of

    CSEM WP 120 Asymmetric Price Adjustment and Consumer Search: An Examination of the Retail Gasoline of Economics November 13, 2003 Abstract It has been documented that retail gasoline prices respond more quickly theoretical model of asymmetric adjustment that empiri- cally matches observed retail gasoline price behavior

  12. Grid Pricing of Fed Cattle 

    E-Print Network [OSTI]

    Schroeder, Ted C.; Hogan, Robert J.; Anderson, David P.

    2009-03-02

    There are several value-based fed cattle pricing systems, including formula pricing, price grids and alliances. This publication describes the different cattle pricing methods and helps you decide which is best for you....

  13. Utility spot pricing study : Wisconsin

    E-Print Network [OSTI]

    Caramanis, Michael C.

    1982-01-01

    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 ...

  14. VaR Constrained Hedging of Fixed Price Load-Following Obligations in Competitive

    E-Print Network [OSTI]

    , electricity prices reached that high level due to a sudden drop of 1500MW in wind power generation and a spectrum of call and put options with different strike prices. A popular portfolio design criterion, that criteria is The work described in this paper was partially supported by the Power Systems En- gineering

  15. CANNED FISH RETAIL PRICES

    E-Print Network [OSTI]

    CANNED FISH RETAIL PRICES UNITED STATES DEPARTMENT OF THE INTERIOR FISH AND WILDLIFE SERVICE BUREAU PRICES APRIL 1959 Prepared in the Bureau of Commercial Fisheries Branch of Market Development FISHERY with the Bureau of Labor Statistics to obtain a v e rage retail prices for selected canned fish items. The retail

  16. CANNED FISH RETAIL PRICES

    E-Print Network [OSTI]

    CANNED FISH RETAIL PRICES DECEMBER 1958 UNITED STATES DEPARTMENT OF THE INTERIOR FISH AND WILDLIFE, Commissioner CANNED FISH RETAIL PRICES DECEMBER 1958 Prepared in the Bureau of Commercial Fisheries Branch canned fish items. The retail prices as contained herein for s veral types of canned tuna, canned salmon

  17. CANNED FISH RETAIL PRICES

    E-Print Network [OSTI]

    CANNED FISH RETAIL PRICES JUNE ll959 UNITED STATES DEPARTMENT OF THE INTERIOR FISH AND WILDUFE, Commissioner CANNED FISH RETAIL PRICES JUNE 1959 Prepared in the Bureau of Commercial Fisheries Branch Fisheries has contracted with the Bureau of Labo r Statistics to obtain average retail prices for selected

  18. CANNED FISH RETAIL PRICES

    E-Print Network [OSTI]

    CANNED FISH RETAIL PRICES JA.NUARY 11959 UNITED STATES DEPARTMENT OF THE INTERIOR FISH AND WILDLIFE, Commissioner CANNED FISH RETAIL PRICES JANUARY 195 9 Prepared in the Bureau of Commercial Fisheries Branch Fisheries has contracted with the Bureau of Labor Statistics to obtain average retail prices for se lected

  19. CANNED FISH RETAIL PRICES

    E-Print Network [OSTI]

    CANNED FISH RETAIL PRICES MARCH 1959 UNITED STATES DEPARTMENT OF THE INTERIOR FISH AND WILDLIFE, Commissioner CANNED FISH RETAIL PRICES MARCH 1959 Prepared in the Bureau of Commercial Fisheries Branch canned fish items. The retail prices as contain d h rein for s veral types of canned tuna, canned salmon

  20. The hydrogen hybrid option

    SciTech Connect (OSTI)

    Smith, J.R.

    1993-10-15

    The energy efficiency of various piston engine options for series hybrid automobiles are compared with conventional, battery powered electric, and proton exchange membrane (PEM) fuel cell hybrid automobiles. Gasoline, compressed natural gas (CNG), and hydrogen are considered for these hybrids. The engine and fuel comparisons are done on a basis of equal vehicle weight, drag, and rolling resistance. The relative emissions of these various fueled vehicle options are also presented. It is concluded that a highly optimized, hydrogen fueled, piston engine, series electric hybrid automobile will have efficiency comparable to a similar fuel cell hybrid automobile and will have fewer total emissions than the battery powered vehicle, even without a catalyst.

  1. Lighting Options for Homes.

    SciTech Connect (OSTI)

    Baker, W.S.

    1991-04-01

    This report covers many aspects of various lighting options for homes. Types of light sources described include natural light, artificial light, incandescent lamps, fluorescent lamps, and high intensity discharge lamps. A light source selection guide gives the physical characteristics of these, design considerations, and common applications. Color, strategies for efficient lighting, and types of lighting are discussed. There is one section giving tips for various situations in specific rooms. Rooms and types of fixtures are shown on a matrix with watts saved by using the recommended type lighting for that room and room location. A major emphasis of this report is saving energy by utilizing the most suitable, recommended lighting option. (BN)

  2. Idaho's Energy Options

    SciTech Connect (OSTI)

    Robert M. Neilson

    2006-03-01

    This report, developed by the Idaho National Laboratory, is provided as an introduction to and an update of the status of technologies for the generation and use of energy. Its purpose is to provide information useful for identifying and evaluating Idaho’s energy options, and for developing and implementing Idaho’s energy direction and policies.

  3. Sustainable Office Lighting Options

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    Sustainable Office Lighting Options Task Lighting: Task lighting is a localized method of lighting a workspace so that additional, unnecessary lighting is eliminated, decreasing energy usage and costs. Illumination levels in the targeted work areas are higher with task lighting than with the ambient levels

  4. Art History Degree options

    E-Print Network [OSTI]

    Brierley, Andrew

    58 Art History Degree options MA (Single Honours Degree) Art History MA (Joint Honours Degrees) Art.st-andrews.ac.uk/study/international Do I need previous knowledge of this subject? ­ No. Subject enquiries E: art the possibility of combining art-historical courses with those in a range of other subjects. * The School has

  5. Art History Degree options

    E-Print Network [OSTI]

    Brierley, Andrew

    66 Art History Degree options MA (Single Honours Degree) Art History MA (Joint Honours Degrees) Art knowledge of this subject? ­ No. Subject enquiries E: art.history@st-andrews.ac.uk Features * The School for a learning and teaching review in March 2010. * The modular structure offers the possibility of combining art

  6. Computer Science Degree options

    E-Print Network [OSTI]

    Brierley, Andrew

    -leading research in human-computer interaction, constraint programming, cloud computing and more. * Our teaching74 Computer Science Degree options BSc (Single Honours Degree) Computer Science BSc (Joint Honours Degrees) Computer Science and one of: Economics Philosophy* Management Management Science * The title

  7. Computer Science Degree options

    E-Print Network [OSTI]

    Brierley, Andrew

    , cloud computing and more. * Our teaching is research-led from first year to fifth. Facilities82 Computer Science Degree options BSc (Single Honours Degree) Computer Science BSc (Joint Honours Degrees) Computer Science and one of: Economics Logic and Philosophy of Science Management Management

  8. Film Studies Degree options

    E-Print Network [OSTI]

    Brierley, Andrew

    102 Film Studies Degree options MA (Joint Honours Degrees) Film Studies and one of: Ancient History Anthropology SpanishW Theological Studies FilmStudieswww.st-andrews.ac.uk/filmstudies Features * The Department of Film Studies consistently receives excellent ratings of student satisfaction in course evaluations

  9. Film Studies Degree options

    E-Print Network [OSTI]

    Brierley, Andrew

    94 Film Studies Degree options MA (Single Honours Degrees) Film Studies MA (Joint Honours Degrees) Film Studies and one of: Ancient History Arabic Art History Biblical Studies Classical Studies Philosophy Psychology RussianW Scottish History Social Anthropology SpanishW Theological Studies Film

  10. Economics & Finance Degree options

    E-Print Network [OSTI]

    Brierley, Andrew

    90 Economics & Finance Degree options MA or BSc (Single Honours Degrees) Applied Economics Economics Financial Economics BA (International Honours Degree) Economics (See page 43) MA or BSc (Joint Honours Degrees) Economics and one of: Geography Management Mathematics MA (Joint Honours Degrees

  11. Economics & Finance Degree options

    E-Print Network [OSTI]

    Brierley, Andrew

    98 Economics & Finance Degree options MA or BSc (Single Honours Degrees) Applied Economics Economics Financial Economics BA (International Honours Degree) Economics (See page 51) MA or BSc (Joint Honours Degrees) Economics and one of: Geography Management Mathematics MA (Joint Honours Degrees

  12. Oil price shocks and their short-and long-term effects on the Chinese economy Weiqi Tang a

    E-Print Network [OSTI]

    Matthews, Adrian

    a historical record of US$147 per barrel in July 2008. The adverse impact of such oil-price shocksOil price shocks and their short- and long-term effects on the Chinese economy Weiqi Tang a , Libo-correction model Oil-price shocks Price transmission mechanisms Investment Output Producer/consumer price index

  13. Modeling regional power transfers

    SciTech Connect (OSTI)

    Kavicky, J.A.; Veselka, T.D.

    1994-03-01

    The Spot Market Network (SMN) model was used to estimate spot market transactions and prices between various North American Electric Reliability Council (NERC) regions for summer on-peak situations. A preliminary analysis of new or proposed additions to the transmission network was performed. The effects of alternative exempt wholesale generator (EWG) options on spot market transactions and the transmission system are also studied. This paper presents the SMN regional modelling approach and summarizes simulation results. Although the paper focuses on a regional network representation, a discussion of how the SMN model was used to represent a detailed utility-level network is also presented.

  14. The non-trivial random walk of stock prices Gabriele La Spada,1, 2,

    E-Print Network [OSTI]

    The non-trivial random walk of stock prices Gabriele La Spada,1, 2, J. Doyne Farmer,2, 1 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

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

    E-Print Network [OSTI]

    Biennial Assessment of the Fifth Power Plan Interim Report on Electric Price Forecasts Electricity prices in the Council's Power Plan are forecast using the AURORATM Electricity Market Model of the entire prices at several pricing points in the West, four of which are in the Pacific Northwest. The one most

  16. The Effect of Mass Transit Systems on Price of Condominium in Bangkok

    E-Print Network [OSTI]

    Sadoulet, Elisabeth

    with strong supply and demand of high-quality and affordable housing projects. These properties' s prices haveThe Effect of Mass Transit Systems on Price of Condominium in Bangkok Undergraduate Honor Thesis. A hedonic price model is used to analyze the effect of mass transit systems on the price of condominiums

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

    E-Print Network [OSTI]

    Appendix A: Fuel Price Forecast Introduction................................................................................................................................. 3 Price Forecasts ............................................................................................................................ 5 U.S. Natural Gas Commodity Prices

  18. Automobile Prices, Gasoline Prices, and Consumer Demand for Fuel Economy

    E-Print Network [OSTI]

    Sadoulet, Elisabeth

    Automobile Prices, Gasoline Prices, and Consumer Demand for Fuel Economy Ashley Langer University 2008 Abstract The relationship between gasoline prices and the demand for vehicle fuel efficiency evidence that automobile manufacturers set vehicle prices as if consumers respond to gasoline prices. We

  19. Linking Oil Prices, Gas Prices, Economy, Transport, and Land Use

    E-Print Network [OSTI]

    Bertini, Robert L.

    Linking Oil Prices, Gas Prices, Economy, Transport, and Land Use A Review of Empirical Findings/Fuel Price Travel Cost Macro-Economy Passenger: VMT or VKT Freight: Ton-Mile or Ton-KM Passenger Mode-run Short and Long-run #12;Topics covered by this presentation: Oil price and macro-economy Gas price

  20. Higher Prices from Entry: Pricing of Brand-Name Drugs

    E-Print Network [OSTI]

    Perloff, Jeffrey M.

    Higher Prices from Entry: Pricing of Brand-Name Drugs Jeffrey M. Perloffa Valerie Y. Suslowb,* Paul product, the prices of existing and new products may be higher than the incumbent's original price due to a better match between consumers and products. In other words, the average price in the market can rise

  1. The safeguards options study

    SciTech Connect (OSTI)

    Hakkila, E.A.; Mullen, M.F.; Olinger, C.T.; Stanbro, W.D. [Los Alamos National Lab., NM (United States); Olsen, A.P.; Roche, C.T.; Rudolph, R.R. [Argonne National Lab., IL (United States); Bieber, A.M.; Lemley, J. [Brookhaven National Lab., Upton, NY (United States); Filby, E. [Idaho National Engineering Lab., Idaho Falls, ID (United States)] [and others

    1995-04-01

    The Safeguards Options Study was initiated to aid the International Safeguards Division (ISD) of the DOE Office of Arms Control and Nonproliferation in developing its programs in enhanced international safeguards. The goal was to provide a technical basis for the ISD program in this area. The Safeguards Options Study has been a cooperative effort among ten organizations. These are Argonne National Laboratory, Brookhaven National Laboratory, Idaho National Engineering Laboratory, Lawrence Livermore National Laboratory, Los Alamos National Laboratory, Mound Laboratory, Oak Ridge National Laboratory, Pacific Northwest Laboratories, Sandia National Laboratories, and Special Technologies Laboratory. Much of the Motivation for the Safeguards Options Study is the recognition after the Iraq experience that there are deficiencies in the present approach to international safeguards. While under International Atomic Energy Agency (IAEA) safeguards at their declared facilities, Iraq was able to develop a significant weapons program without being noticed. This is because negotiated safeguards only applied at declared sites. Even so, their nuclear weapons program clearly conflicted with Iraq`s obligations under the Nuclear Nonproliferation Treaty (NPT) as a nonnuclear weapon state.

  2. Retrospective Evaluation of Appliance Price Trends

    E-Print Network [OSTI]

    Dale, Larry

    2010-01-01

    the higher the product cost and retail price. Table 3.change and appliance price Room air conditioners Small (price data to clarify price

  3. Resources, real options, and corporate strategy

    E-Print Network [OSTI]

    Bernardo, Antonio; Chowdhry, Bhagwan

    1998-01-01

    211–234 Resources, real options, and corporate strategy $D83; G30; G31 Keywords: Real options; Valuation; Corporateparticipants at the Real Options Conference at Northwestern

  4. A Laboratory Investigation of Deferral Options

    E-Print Network [OSTI]

    Oprea, Ryan; Friedman, Daniel; Anderson, Steven T

    2007-01-01

    T. and Antikarov, V. , 2003, “Real Options: A Practitioner’ssteady state. Keywords: Real options, optimal stopping,email Introduction Real options theory came of age in the

  5. Sandia Energy - Nuclear Fuel Cycle Options Catalog

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

    Nuclear Fuel Cycle Options Catalog Home Stationary Power Nuclear Fuel Cycle Nuclear Energy Workshops Nuclear Fuel Cycle Options Catalog Nuclear Fuel Cycle Options CatalogAshley...

  6. Sandia Energy - Nuclear Fuel Cycle Options Catalog

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

    Fuel Cycle Options Catalog Home Stationary Power Nuclear Fuel Cycle Advanced Nuclear Energy Nuclear Fuel Cycle Options Catalog Nuclear Fuel Cycle Options CatalogAshley...

  7. Understanding Crude Oil Prices

    E-Print Network [OSTI]

    Hamilton, James Douglas

    2008-01-01

    historical data for claiming to be able to predict oil pricehistorical data. The second is to look at the predictions of economic theory as to how oil prices

  8. Crude Oil Prices

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

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

  9. Crude Oil Prices

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

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

  10. Crude Oil Prices

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

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

  11. Crude Oil Prices

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

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

  12. Crude Oil Prices

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

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

  13. Pricing an Annuity

    E-Print Network [OSTI]

    Pricing an Annuity. Central Indiana Life Insurance Company's customers can use a portion of the funds accumulated in their 401(k) retirement plan to buy an ...

  14. Pricing an Annuity

    E-Print Network [OSTI]

    2003-09-02

    Pricing an Annuity. Central Indiana Life Insurance Company 's customers can use a portion of the funds accumulated in their 401(k) retirement plan to buy an ...

  15. Software Price List Windows Applications

    E-Print Network [OSTI]

    Software Price List Windows Applications Software cannot be returned. Also note that the University support on campus, please go to www.unh.edu/it Number Item Price Number Item Price Prices are subject Item Price Only USNH Departments may purchase software below. A license does not include media

  16. Procurement Options for New Renewable Electricity Supply

    SciTech Connect (OSTI)

    Kreycik, C. E.; Couture, T. D.; Cory, K. S.

    2011-12-01

    State renewable portfolio standard (RPS) policies require utilities and load-serving entities (LSEs) to procure renewable energy generation. Utility procurement options may be a function of state policy and regulatory preferences, and in some cases, may be dictated by legislative authority. Utilities and LSEs commonly use competitive solicitations or bilateral contracting to procure renewable energy supply to meet RPS mandates. However, policymakers and regulators in several states are beginning to explore the use of alternatives, namely feed-in tariffs (FITs) and auctions to procure renewable energy supply. This report evaluates four procurement strategies (competitive solicitations, bilateral contracting, FITs, and auctions) against four main criteria: (1) pricing; (2) complexity and efficiency of the procurement process; (3) impacts on developers access to markets; and (4) ability to complement utility decision-making processes. These criteria were chosen because they take into account the perspective of each group of stakeholders: ratepayers, regulators, utilities, investors, and developers.

  17. Financial derivative pricing under probability operator via Esscher transfomation

    SciTech Connect (OSTI)

    Achi, Godswill U., E-mail: achigods@yahoo.com [Department of Mathematics, Abia State Polytechnic Aba, P.M.B. 7166, Aba, Abia State (Nigeria)

    2014-10-24

    The problem of pricing contingent claims has been extensively studied for non-Gaussian models, and in particular, Black- Scholes formula has been derived for the NIG asset pricing model. This approach was first developed in insurance pricing{sup 9} where the original distortion function was defined in terms of the normal distribution. This approach was later studied6 where they compared the standard Black-Scholes contingent pricing and distortion based contingent pricing. So, in this paper, we aim at using distortion operators by Cauchy distribution under a simple transformation to price contingent claim. We also show that we can recuperate the Black-Sholes formula using the distribution. Similarly, in a financial market in which the asset price represented by a stochastic differential equation with respect to Brownian Motion, the price mechanism based on characteristic Esscher measure can generate approximate arbitrage free financial derivative prices. The price representation derived involves probability Esscher measure and Esscher Martingale measure and under a new complex valued measure ? (u) evaluated at the characteristic exponents ?{sub x}(u) of X{sub t} we recuperate the Black-Scholes formula for financial derivative prices.

  18. Trends in Utility Green Pricing Programs (2006)

    SciTech Connect (OSTI)

    Bird, L.; Kaiser, M.

    2007-10-01

    In the early 1990s, only a handful of utilities offered their customers a choice of purchasing electricity generated from renewable energy sources. Today, more than 750 utilities--or about 25% of all utilities nationally--provide their customers a "green power" option. Through these programs, more than 70 million customers have the ability to purchase renewable energy to meet some portion or all of their electricity needs--or make contributions to support the development of renewable energy resources. Typically, customers pay a premium above standard electricity rates for this service. This report presents year-end 2006 data on utility green pricing programs, and examines trends in consumer response and program implementation over time. The data in this report, which were obtained via a questionnaire distributed to utility green pricing program managers, can be used by utilities to benchmark the success of their green power programs.

  19. Trends in Utility Green Pricing Programs (2006)

    SciTech Connect (OSTI)

    Bird, Lori; Kaiser, Marshall

    2007-10-01

    In the early 1990s, only a handful of utilities offered their customers a choice of purchasing electricity generated from renewable energy sources. Today, more than 750 utilities—or about 25% of all utilities nationally—provide their customers a “green power” option. Through these programs, more than 70 million customers have the ability to purchase renewable energy to meet some portion or all of their electricity needs—or make contributions to support the development of renewable energy resources. Typically, customers pay a premium above standard electricity rates for this service. This report presents year-end 2006 data on utility green pricing programs, and examines trends in consumer response and program implementation over time. The data in this report, which were obtained via a questionnaire distributed to utility green pricing program managers, can be used by utilities to benchmark the success of their green power programs.

  20. Sandia Energy - Fuel Options

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power AdministrationRobust, High-Throughput Analysis ofSample SULIColinEnergy Policy ExpertsFuel Options Home

  1. Utility spot pricing, California

    E-Print Network [OSTI]

    Schweppe, Fred C.

    1982-01-01

    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 ...

  2. Global plutonium management: A security option

    SciTech Connect (OSTI)

    Sylvester, K.W.B.

    1998-12-31

    The US surplus plutonium disposition program was created to reduce the proliferation risk posed by the fissile material from thousands of retired nuclear weapons. The Department of Energy has decided to process its Put into a form as secure as Pu in civilian spent fuel. While implementation issues have been considered, a major one (Russian reciprocity) remains unresolved. Russia has made disposition action conditional on extracting the fuel value of its Pu but lacks the infrastructure to do so. Assistance in the construction of the required facilities would conflict with official US policy opposing the development of a Pu fuel cycle. The resulting stagnation provides impetus for a reevaluation of US nonproliferation objectives and Pu disposition options. A strategy for satisfying Russian fuel value concerns and reducing the proliferation risk posed by surplus weapons-grade plutonium (WGPu) is proposed. The effectiveness of material alteration (e.g., isotopic, chemical, etc.{hor_ellipsis}) at reducing the desire, ability and opportunity for proliferation is assessed. Virtually all the security benefits attainable by material processing can be obtained by immobilizing Pu in large unit size/mass monoliths without a radiation barrier. Russia would be allowed to extract the Pu at a future date for use as fuel in a verifiable manner. Remote tracking capability, if proven feasible, would further improve safeguarding capability. As an alternate approach, the US could compensate Russia for its Pu, allowing it to be disposed of or processed elsewhere. A market based method for pricing Pu is proposed. Surplus Pu could represent access to nuclear fuel at a fixed price at a future date. This position can be replicated in the uranium market and priced using derivative theory. The proposed strategy attempts to meet nonproliferation objectives by recognizing technical limitations and satisfying political constraints.

  3. Retrieval options study

    SciTech Connect (OSTI)

    Not Available

    1980-03-01

    This Retrieval Options Study is part of the systems analysis activities of the Office of Nuclear Waste Isolation to develop the scientific and technological bases for radioactive waste repositories in various geologic media. The study considers two waste forms, high level waste and spent fuel, and defines various classes of waste retrieval and recovery. A methodology and data base are developed which allow the relative evaluation of retrieval and recovery costs and the following technical criteria: safety; technical feasibility; ease of retrieval; probable intact retrieval time; safeguards; monitoring; criticality; and licensability. A total of 505 repository options are defined and the cost and technical criteria evaluated utilizing a combination of facts and engineering judgments. The repositories evaluated are selected combinations of the following parameters: Geologic Media (salt, granite, basalt, shale); Retrieval Time after Emplacement (5 and 25 years); Emplacement Design (nominal hole, large hole, carbon steel canister, corrosion resistant canister, backfill in hole, nominal sleeves, thick wall sleeves); Emplacement Configuration (single vertical, multiple vertical, single horizontal, multiple horizontal, vaults; Thermal Considerations; (normal design, reduced density, once-through ventilation, recirculated ventilation); Room Backfill; (none, run-of-mine, early, 5 year delay, 25 year delay, decommissioned); and Rate of Retrieval; (same as emplacement, variably slower depending on repository/canister condition).

  4. A Tool for the Analysis of Real Options in Sustainability Improvement Projects 

    E-Print Network [OSTI]

    Boonchanta, Napon

    2012-10-19

    .................................................................................................... 27 6.3 Simulation model of uncertainty scenarios .......................................................... 29 6.3.1 Uncertainty in electricity price ........................................................ 30 6.3.2 Uncertainty in photovoltaic... ................... 13 4 The retail electricity price and the cost of electricity produced from renewable energy trend ..................................................................................... 16 5 Average retail price of electricity in commercial...

  5. Apply option-thinking in long term infrastructure investment : the case of commercial real estate

    E-Print Network [OSTI]

    Zhang, Na, S.M. Massachusetts Institute of Technology

    2010-01-01

    Over the last two decades the application of real options theory has dramatically altered the way researches model infrastructure investment decisions. Real options are the right, but not obligation to do something for a ...

  6. PRICING PRECIPITATION BASED DERIVATIVES RENE CARMONA AND PAVEL DIKO

    E-Print Network [OSTI]

    Carmona, Rene

    PRICING PRECIPITATION BASED DERIVATIVES REN´E CARMONA AND PAVEL DIKO ABSTRACT. We consider the problem of pricing a derivative contract written on the precipitation at a specific location during of the underlying precipitation. Our model is based on pulse Poisson process models widely used in hydrology. We

  7. Higher Prices from Entry: Pricing of Brand-Name Drugs

    E-Print Network [OSTI]

    Perloff, Jeffrey M.

    Higher Prices from Entry: Pricing of Brand-Name Drugs Jeffrey M. Perloff* Valerie Y. Suslow** Paul and starts selling a spatially-differentiated product, the prices of existing products may rise due to a better match between consumers and products. Entry may have three unusual effects. First, the new price

  8. Sustainable Energy: Choosing Among Options

    E-Print Network [OSTI]

    Mirza, Umar Karim

    2006-01-01

    Review: Sustainable Energy: Choosing Among Options Byand William A. Peters. Sustainable Energy: Choosing AmongAll the authors of Sustainable Energy are associated with

  9. Hedging Quantity Risks with Standard Power Options in a Competitive Wholesale Electricity

    E-Print Network [OSTI]

    Hedging Quantity Risks with Standard Power Options in a Competitive Wholesale Electricity Market, GA, 30332-0205 USA March 3, 2005 Abstract This paper addresses quantity risk in the electricity of a load serving entity, which provides electricity service at a regulated price in electricity markets

  10. Electricity Prices in a Competitive Environment: Marginal Cost Pricing

    Reports and Publications (EIA)

    1997-01-01

    Presents the results of an analysis that focuses on two questions: (1) How are prices for competitive generation services likely to differ from regulated prices if competitive prices are based on marginal costs rather than regulated cost-of-service pricing? (2) What impacts will the competitive pricing of generation services (based on marginal costs) have on electricity consumption patterns, production costs, and the financial integrity of electricity suppliers?

  11. WIND ENERGY AND NEGATIVE PRICING

    E-Print Network [OSTI]

    McCalley, James D.

    at negative prices #12;Wind power and negative prices · Wind power production is related to electricity power integration · Negative prices are "market distortions" that need to be addressed · "PTC aggravatesWIND ENERGY AND NEGATIVE PRICING Is Production Tax Credit to Blame? Yu Wang Iowa State University

  12. Brand the Pricing: Critical Critique 

    E-Print Network [OSTI]

    Alam Kazmi, Syed Hasnain

    2015-01-01

    impact. Management decisions to change prices translate intoto management decision making will translate the change

  13. Competitive Electricity Prices: An Update

    Reports and Publications (EIA)

    1998-01-01

    Illustrates a third impact of the move to competitive generation pricing -- the narrowing of the range of prices across regions of the country. This feature article updates information in Electricity Prices in a Competitive Environment: Marginal Cost Pricing of Generation Services and Financial Status of Electric Utilities.

  14. CANNED FI H RETAIL PRICE

    E-Print Network [OSTI]

    CANNED FI H RETAIL PRICE UNITED STATES DEPARTMENT OF THE I TERI R FISH AND WILDLIFE SERVICE BUREAU to obtain average retail prices for selected canned fish items. The retail prices as contained herein by the U. S . Department of Labor in order to provide information on price levels in different cities

  15. Crude Oil Prices

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

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

  16. Crude Oil Prices

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

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

  17. Term Pricing Project

    E-Print Network [OSTI]

    Jeff Beckley

    2015-10-29

    Term Pricing Project. Your job is to reprice Purdue Life's 20 Year Term. You are to write a one page memo or report summarizing your work. The report should ...

  18. Arbitrage free cointegrated models in gas and oil future markets

    E-Print Network [OSTI]

    Benmenzer, Grégory; Jérusalem, Céline

    2007-01-01

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

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

    E-Print Network [OSTI]

    Mendjoge, Ashish V

    2004-09-30

    This study proposes two methods, (1) a probabilistic method based on historical oil prices and (2) a method based on Gaussian simulation, to model future prices of oil. With these methods to model future oil prices, we can calculate the ranges...

  20. Application of real options to reverse logistics process

    E-Print Network [OSTI]

    Kaga, Akihiro, 1975-

    2004-01-01

    In this thesis, real options are used to identify the optimal model for the reverse logistics process of a technology company in the circuit board business. Currently, customers return defective boards and the company ...

  1. Communication Needs and Integration Options

    E-Print Network [OSTI]

    Communication Needs and Integration Options for AMI in the Smart Grid Future Grid Initiative White System #12;Communication Needs and Integration Options for AMI in the Smart Grid Prepared for the Project the current state of communications for the advanced metering infrastructure (AMI) and recommends

  2. Essays in Applied Macroeconomics: Asymmetric Price Adjustment, Exchange Rate and Treatment Effect 

    E-Print Network [OSTI]

    Gu, Jingping

    2009-05-15

    This dissertation consists of three essays. Chapter II examines the possible asymmetric response of gasoline prices to crude oil price changes using an error correction model with GARCH errors. Recent papers have looked at this issue. Some...

  3. An assessment of single-family housing prices and residential segregation using GIS in Bryan, Texas 

    E-Print Network [OSTI]

    Esch, Stephen Alexander

    1997-01-01

    Hedonic models have been used by many scholars to forecast prices of housing properties. By incorporating such features as neighborhood quality, environmental factors, and the type of improvements made to a property, the price of a property may...

  4. Stochastic dynamic optimization of consumption and the induced price elasticity of demand in smart grids

    E-Print Network [OSTI]

    Faghih, Ali

    2011-01-01

    This thesis presents a mathematical model of consumer behavior in response to stochastically-varying electricity prices, and a characterization of price-elasticity of demand created by optimal utilization of storage and ...

  5. AFCI Options Study

    SciTech Connect (OSTI)

    R. Wigeland; T. Taiwo; M. Todosow; W. Halsey; J. Gehin

    2009-09-01

    This report describes the background and framework for both organizing the discussion and providing information on the potential for nuclear energy R&D to develop alternative nuclear fuel cycles that would address the issues with the current implementations of nuclear power, including nuclear waste disposal, proliferation risk, safety, security, economics, and sustainability. The disposition of used fuel is the cause of many of the concerns, and the possible approaches to used fuel management identify a number of basic technology areas that need to be considered. The basic science in each of the technology areas is discussed, emphasizing what science is currently available, where scientific knowledge may be insufficient, and especially to identify specific areas where transformational discoveries may allow achievement of performance goals not currently attainable. These discussions lead to the wide range of technical options that have been the basis for past and current research and development on advanced nuclear fuel cycles in the United States. The results of this work are then briefly reviewed to show the extent to which such approaches are capable of addressing the issues with nuclear power, the potential for moving further, and the inherent limitations.

  6. Import policy effects on the optimal oil price

    SciTech Connect (OSTI)

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

    1994-12-31

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

  7. MCNP6 Cosmic-Source Option

    SciTech Connect (OSTI)

    McKinney, Gregg W; Armstrong, Hirotatsu; James, Michael R; Clem, John; Goldhagen, Paul

    2012-06-19

    MCNP is a Monte Carlo radiation transport code that has been under development for over half a century. Over the last decade, the development team of a high-energy offshoot of MCNP, called MCNPX, has implemented several physics and algorithm improvements important for modeling galactic cosmic-ray (GCR) interactions with matter. In this presentation, we discuss the latest of these improvements, a new Cosmic-Source option, that has been implemented in MCNP6.

  8. Analyzing reliability of virtual machine instances with dynamic pricing in the public cloud

    SciTech Connect (OSTI)

    Lim, Seung-Hwan [ORNL; Thakur, Gautam [ORNL; Horey, James L [ORNL

    2014-01-01

    This study presents reliability analysis of virtual machine instances in public cloud environments in the face of dynamic pricing. Different from traditional fixed pricing, dynamic pricing allows price to dynamically fluctuate over arbitrary period of time according to external factors such as supply and demand, excess capacity, etc. This pricing option introduces a new type of fault: virtual machine instances may be unexpectedly terminated due to conflicts in the original bid price and the current offered price. This new class of fault under dynamic pricing may be more dominant than traditional faults in cloud computing environments, where resource availability associated with traditional faults is often above 99.9%. To address and understand this new type of fault, we translated two classic reliability metrics, mean time between failures and availability, to the Amazon Web Services spot market using historical price data. We also validated our findings by submitting actual bids in the spot market. We found that overall, our historical analysis and experimental validation lined up well. Based upon these experimental results, we also provided suggestions and techniques to maximize overall reliability of virtual machine instances under dynamic pricing.

  9. Fact #766: February 11, 2013 Electricity Prices are More Stable...

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    6: February 11, 2013 Electricity Prices are More Stable than Gasoline Prices Fact 766: February 11, 2013 Electricity Prices are More Stable than Gasoline Prices All energy prices...

  10. Sequestration Options for the West Coast States

    SciTech Connect (OSTI)

    Myer, Larry

    2006-04-30

    The West Coast Regional Carbon Sequestration Partnership (WESTCARB) is one of seven partnerships that have been established by the U.S. Department of Energy (DOE) to evaluate carbon capture and sequestration (CCS) technologies best suited for different regions of the country. The West Coast Region comprises Arizona, California, Nevada, Oregon, Washington, Alaska, and British Columbia. Led by the California Energy Commission, WESTCARB is a consortium of about 70 organizations, including state natural resource and environmental protection agencies; national laboratories and universities; private companies working on carbon dioxide (CO{sub 2}) capture, transportation, and storage technologies; utilities; oil and gas companies; nonprofit organizations; and policy/governance coordinating organizations. Both terrestrial and geologic sequestration options were evaluated in the Region during the 18-month Phase I project. A centralized Geographic Information System (GIS) database of stationary source, geologic and terrestrial sink data was developed. The GIS layer of source locations was attributed with CO{sub 2} emissions and other data and a spreadsheet was developed to estimate capture costs for the sources in the region. Phase I characterization of regional geological sinks shows that geologic storage opportunities exist in the WESTCARB region in each of the major technology areas: saline formations, oil and gas reservoirs, and coal beds. California offers outstanding sequestration opportunities because of its large capacity and the potential of value-added benefits from enhanced oil recovery (EOR) and enhanced gas recovery. The estimate for storage capacity of saline formations in the ten largest basins in California ranges from about 150 to about 500 Gt of CO{sub 2}, the potential CO{sub 2}-EOR storage was estimated to be 3.4 Gt, and the cumulative production from gas reservoirs suggests a CO{sub 2} storage capacity of 1.7 Gt. A GIS-based method for source-sink matching was implemented and preliminary marginal cost curves developed, which showed that 20, 40, or 80 Mega tonnes (Mt) of CO{sub 2} per year could be sequestered in California at a cost of $31/tonne (t), $35/t, or $50/t, respectively. Phase I also addressed key issues affecting deployment of CCS technologies, including storage-site monitoring, injection regulations, and health and environmental risks. A framework for screening and ranking candidate sites for geologic CO{sub 2} storage on the basis of HSE risk was developed. A webbased, state-by-state compilation of current regulations for injection wells, and permits/contracts for land use changes, was developed, and modeling studies were carried out to assess the application of a number of different geophysical techniques for monitoring geologic sequestration. Public outreach activities resulted in heightened awareness of sequestration among state, community and industry leaders in the Region. Assessment of the changes in carbon stocks in agricultural lands showed that Washington, Oregon and Arizona were CO{sub 2} sources for the period from 1987 to 1997. Over the same period, forest carbon stocks decreased in Washington, but increased in Oregon and Arizona. Results of the terrestrial supply curve analyses showed that afforestation of rangelands and crop lands offer major sequestration opportunities; at a price of $20 per t CO{sub 2}, more than 1,233 MMT could be sequestered over 40-years in Washington and more than 1,813 MMT could be sequestered in Oregon.

  11. Environmental amenities and disamenities, and housing prices; using GIS techniques 

    E-Print Network [OSTI]

    Hwang, Seong-Nam

    2004-09-30

    Tests for the Residential Property Value Model ............ 118 8.4. Determinants of Residential Property Values ................................................... 122 8.5. Implicit Prices of Property Value Determinants... and Variance Inflation Factors (VIFs) ............................ 119 Table 8-5. Determinants of residential property values ............................................... 125 Table 8-6. Chi-square tests of flood risk and house offer price...

  12. Optimal Production Planning under Time-sensitive Electricity Prices for

    E-Print Network [OSTI]

    Grossmann, Ignacio E.

    . The control actions, which balance the electricity supply and demand, differ on the time scale and usuallyOptimal Production Planning under Time-sensitive Electricity Prices for Continuous Power-dependent electricity pricing schemes. In this paper, we describe a deterministic MILP model that allows optimal

  13. Scenario Generation for Price Forecasting in Restructured Wholesale Power Markets

    E-Print Network [OSTI]

    Tesfatsion, Leigh

    markets could aid in the design of appropriate price forecasting tools for such markets. Scenario1 Scenario Generation for Price Forecasting in Restructured Wholesale Power Markets Qun Zhou, restructured wholesale power markets, scenario generation, ARMA model, moment-matching method I. INTRODUCTION

  14. Incorporating Pricing Decisions into the Stochastic Dynamic Fleet Management Problem

    E-Print Network [OSTI]

    Topaloglu, Huseyin

    their expected values. A second class of fleet management models try to treat the randomness in the load arrivalsIncorporating Pricing Decisions into the Stochastic Dynamic Fleet Management Problem Huseyin This paper shows how to coordinate the pricing and fleet management decisions of a freight carrier. We

  15. Advanced Nuclear Fuel Cycle Options

    SciTech Connect (OSTI)

    Roald Wigeland; Temitope Taiwo; Michael Todosow; William Halsey; Jess Gehin

    2010-06-01

    A systematic evaluation has been conducted of the potential for advanced nuclear fuel cycle strategies and options to address the issues ascribed to the use of nuclear power. Issues included nuclear waste management, proliferation risk, safety, security, economics and affordability, and sustainability. The two basic strategies, once-through and recycle, and the range of possibilities within each strategy, are considered for all aspects of the fuel cycle including options for nuclear material irradiation, separations if needed, and disposal. Options range from incremental changes to today’s implementation to revolutionary concepts that would require the development of advanced nuclear technologies.

  16. 15.818 Pricing, Spring 2005

    E-Print Network [OSTI]

    Tucker, Catherine

    This course, primarily discussion based, provides a framework for understanding pricing strategies and tactics. Topics covered include pricing in competitive markets, estimating demand, price discrimination, the role of ...

  17. ACFAC: a cash flow analysis code for estimating product price from an industrial operation

    SciTech Connect (OSTI)

    Delene, J.G.

    1980-04-01

    A computer code is presented which uses a discountted cash flow methodology to obtain an average product price for an industtrial process. The general discounted cash flow method is discussed. Special code options include multiple treatments of interest during construction and other preoperational costs, investment tax credits, and different methods for tax depreciation of capital assets. Two options for allocating the cost of plant decommissioning are available. The FORTRAN code listing and the computer output for a sample problem are included.

  18. Patents and R& D as Real Options

    E-Print Network [OSTI]

    Schwartz, Eduardo S.

    2002-01-01

    Information Technology as Real Options, UCLA Working Paper.Patents and R&D as Real Options* September 2001 RevisedPatents and R&D as Real Options Abstract This article

  19. A real options approach to criminal careers

    E-Print Network [OSTI]

    Aguiar de Oliveira, Cristiano

    2012-01-01

    J. (2004) Criminal behavior: A real option approach with anTrigeorgis, L. (1996) Real Options. Cambridge: MIT Press.A real options approach to criminal careers Cristiano Aguiar

  20. Montana State University 1 Geography Option

    E-Print Network [OSTI]

    Dyer, Bill

    Montana State University 1 Geography Option The Geography Option offers students a liberal university education with an emphasis in geography. The Geography option provides a general science (GIS). Geography also offers an outstanding background for more advanced education

  1. Fairness and dynamic pricing: comments

    SciTech Connect (OSTI)

    Hogan, William W.

    2010-07-15

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

  2. An empirical evaluation of live cattle futures and options for short hedging slaughter cattle in the Texas Panhandle 

    E-Print Network [OSTI]

    Winder, Jim R.

    1985-01-01

    and Variability of Net Returns For Heifers Hedged With Put Options, At-The-Money Strikes, Delta and No Offset; Texas High Plains 1980-84. 101 26. Comparison of Quarterly Net Returns and Variability of Net Returns For Heifers Hedged With Put Options, At... to sim- ilar changes in feeder cattle supplies and thus prices. amarillo 600-700 pound feeder steer prices have ranged from a low of $26/cwt in the last liquidation phase to a high of $90/cwt at the peak of the expansion in 1979. Significant intra...

  3. Hydrogen Delivery Infrastructure Options Analysis

    Fuel Cell Technologies Publication and Product Library (EERE)

    This report, by the Nexant team, documents an in-depth analysis of seven hydrogen delivery options to identify the most cost-effective hydrogen infrastructure for the transition and long term. The pro

  4. Washington Natural Gas Prices

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google5.10 5.24 5.29 5.84 5.08 4.25 1989-2015 Residential Price 11.35 12.13 12.37 12.57 11.71 11.24 1989-2015 Percentage of Total Residential Deliveries included in Prices 100.0 100.0

  5. Diesel prices decrease

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming Dry Natural GasNatural Gas Usage FormDiesel pricesDiesel pricesDiesel

  6. Diesel prices decrease

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming Dry Natural GasNatural Gas Usage FormDiesel pricesDieselDiesel prices

  7. Diesel prices slightly decrease

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming Dry Natural GasNatural Gas UsageDiesel prices increaseDiesel prices

  8. Hydrogen Delivery Infrastructure Analysis, Options and Trade...

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Analysis, Options and Trade-offs, Transition and Long-term Hydrogen Delivery Infrastructure Analysis, Options and Trade-offs, Transition and Long-term Presentation on Hydrogen...

  9. The effects of consumer information and cost-sharing on healthcare prices

    E-Print Network [OSTI]

    Whaley, Christopher

    2015-01-01

    1.2.3 Price Transparency . . . . . . . . . .Provider Prices . . . . . . . . . . . . . . . . . . . . . .Physician Price Responses to Price

  10. Open Automated Demand Response Technologies for Dynamic Pricing and Smart Grid

    SciTech Connect (OSTI)

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

    2010-06-02

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

  11. Essays on pricing under uncertainty 

    E-Print Network [OSTI]

    Escobari Urday, Diego Alfonso

    2008-10-10

    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...

  12. Rethinking Real Time Electricity Pricing

    E-Print Network [OSTI]

    Allcott, Hunt

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

  13. Best Buys and Unit Pricing 

    E-Print Network [OSTI]

    Anding, Jenna

    2000-02-02

    This guide explains how to determine a unit price--the cost of an item based on a specific unit such as pound or ounce. Unit pricing can be used to identify foods that are the most economical....

  14. The Price of Routing Unsplittable Flow Baruch Awerbuch # Yossi Azar + Amir Epstein #

    E-Print Network [OSTI]

    Fiat, Amos

    The Price of Routing Unsplittable Flow Baruch Awerbuch # Yossi Azar + Amir Epstein # Abstract. In this paper, we assume this more realistic unsplittable model, and investigate the ''price of anarchy that for linear edge latency functions the price of anarchy is exactly 2.618 for weighted demand and exactly 2

  15. ISP Uplink Pricing in a Competitive Market Qian Wang Dah Ming Chiu

    E-Print Network [OSTI]

    Lui, John C.S.

    ISP Uplink Pricing in a Competitive Market Qian Wang Dah Ming Chiu Department of Information manage their network resources. We explore the idea of uplink pricing as a way to provide differential pricing to P2P and regular users. In particular, we formulate a simple economic model to analyze under

  16. Short Term Electricity Price Forecasting in the Nordic Region Anders Lund Eriksrud

    E-Print Network [OSTI]

    Lavaei, Javad

    Short Term Electricity Price Forecasting in the Nordic Region Anders Lund Eriksrud May 11, 2014 Abstract This paper presents a survey of electricity price forecasting for the Nordic region, and performs that time series models more appropriate for forecasting electricity prices, compared to machine learning

  17. Stochastic Behaviour of the Electricity Bid Stack: from Fundamental Drivers to Power Prices

    E-Print Network [OSTI]

    Howison, Sam

    Stochastic Behaviour of the Electricity Bid Stack: from Fundamental Drivers to Power Prices Michael) 23 October 2008 Abstract We develop a fundamental model for spot electricity prices, based on stochastic processes for underlying factors (fuel prices, power demand and generation capacity availability

  18. Animation and Visualization of Spot Prices via Quadratized Power Flow Analysis

    E-Print Network [OSTI]

    Animation and Visualization of Spot Prices via Quadratized Power Flow Analysis A. P. Sakis@attbi.com Abstract This paper presents a new model for efficient calculation of spot prices and animation and visualization of spot price evolution as the system operating point is changing. The computational method

  19. Entry, Exit, and Farm Size: Assessing an Experiment in Dairy Price Policy

    E-Print Network [OSTI]

    Foltz, Jeremy D.

    Entry, Exit, and Farm Size: Assessing an Experiment in Dairy Price Policy Jeremy D. Foltz* Dept and an autocorrelated generalized least squares panel data model of farm size. The Dairy Compact's price strategy of the author. #12;1 Much U.S. farm policy employs price subsidies and market interventions to benefit key

  20. Pricing-Based Control of Large Networks Xiaojun Lin and Ness B. Shroff

    E-Print Network [OSTI]

    Lin, Xiaojun

    -of-day pricing. The second approximation was to replace the cost of the actual path the flow would traversePricing-Based Control of Large Networks Xiaojun Lin and Ness B. Shroff School of Electrical}@ecn.purdue.edu Abstract. In this work we study pricing as a mechanism to control large networks. Our model is based

  1. Revue de l'OFCE / Debates and policies 124 (2012) ASYMMETRIC (S,s) PRICING

    E-Print Network [OSTI]

    Boyer, Edmond

    2012-01-01

    for this. One is that there exists costs to price adjustment. The other one is that firms do not reconsiderRevue de l'OFCE / Debates and policies ­ 124 (2012) ASYMMETRIC (S,s) PRICING: IMPLICATIONS a model of asymmetric (S,s) pricing. We investigate implications of such a behavior for the effectiveness

  2. Computing Optimal Reachability Costs in Priced Dense-Timed Pushdown Automata

    E-Print Network [OSTI]

    Abdulla, Parosh Aziz

    Computing Optimal Reachability Costs in Priced Dense-Timed Pushdown Automata Parosh Aziz Abdulla a given time interval. Furthermore, the model is priced in the sense that there is a cost function not exist (e.g., even in priced timed automata it can happen that there is no computation of cost 0

  3. Selfish Routers and the Price of Anarchy Christos Papadimitriou and Gregory Valiant

    E-Print Network [OSTI]

    California at Irvine, University of

    of the price of anarchy [5], gauging the cost of this lack of strategic homogeneity, is the technicalSelfish Routers and the Price of Anarchy Christos Papadimitriou and Gregory Valiant Abstract. We revisit Roughgarden and Tardos's price of anarchy in network routing, in a new model in which routing

  4. Price Philanthropies Ocean Science Education: Aquarium

    E-Print Network [OSTI]

    Hampton, Randy

    ! ! ! ! ! Price Philanthropies Ocean Science Education: Aquarium Express Outreach Who: Students by The Price Philanthropies Ocean Science Fund and participate in our Aquarium Express Outreach Programs! What education, Price Philanthropies, led by Robert and Allison Price, joined supporters of Birch Aquarium

  5. Models for evaluation of energy technology and policy options to maximize low carbon source penetration in the United States energy supply.

    SciTech Connect (OSTI)

    Pickard, Paul S.; Kataoka, Dawn; Reno, Marissa Devan; Malczynski, Leonard A.; Peplinski, William J.; Roach, Jesse D.; Brainard, James Robert; West, Todd H.; Schoenwald, David Alan

    2009-12-01

    An initial version of a Systems Dynamics (SD) modeling framework was developed for the analysis of a broad range of energy technology and policy questions. The specific question selected to demonstrate this process was 'what would be the carbon and import implications of expanding nuclear electric capacity to provide power for plug in hybrid vehicles?' Fifteen SNL SD energy models were reviewed and the US Energy and Greenhouse gas model (USEGM) and the Global Nuclear Futures model (GEFM) were identified as the basis for an initial modeling framework. A basic U.S. Transportation model was created to model U.S. fleet changes. The results of the rapid adoption scenario result in almost 40% of light duty vehicles being PHEV by 2040 which requires about 37 GWy/y of additional electricity demand, equivalent to about 25 new 1.4 GWe nuclear plants. The adoption rate of PHEVs would likely be the controlling factor in achieving the associated reduction in carbon emissions and imports.

  6. Ethanol's Effect on Grain Supply and Prices

    SciTech Connect (OSTI)

    2008-01-01

    This document provides graphical information about ethanol's effect on grain supply and prices, uses of corn, and grain price trends.

  7. Energy Prices and California's Economic

    E-Print Network [OSTI]

    Sadoulet, Elisabeth

    months, with national unemployment at 25 year highs, retail U.S. gasoline prices have risen 40 percent1 Energy Prices and California's Economic Security David RolandHolst October, 2009 on Energy Prices, Renewables, Efficiency, and Economic Growth: Scenarios and Forecasts, financial support

  8. Pine pulpwood prices reached re-

    E-Print Network [OSTI]

    Pine pulpwood prices reached re- cord highs due to strong pulp and paper demand and lumber production curtailment. In contrast, sawlog prices continued their downward movement in November/December statewide av- erage pine sawlog prices decreased to $36.72/ton, a 4.3% drop for the period and a 14.1% drop

  9. Essays in Technology Diffusion and Asset Pricing

    E-Print Network [OSTI]

    Bednarek, Ziemowit Konrad

    2010-01-01

    this study from real options literature. Jovanovic (2006)on investment in the real options framework, noting thatfuture. I depart from real options framework of investment

  10. Real Estate Price Measurement and Stability Crises

    E-Print Network [OSTI]

    Wallace, Nancy

    2011-01-01

    T. , 1993, Equilibrium and options on real assets, Review ofor the effects of real options com- ponents of real estatearising from the real option components of real estate

  11. The Impact of Oil Prices on the Air Transportation Industry

    E-Print Network [OSTI]

    Zeng, Ning

    .................................................................30 2.8 MODELING FUEL PRICE IMPACTS ON COMMERCIAL AVIATION....................................................................................................................78 4.3 DATA SETS EMPLOYED IN THE STUDY, Everett Peterson (PI) and Antonio Trani (PI) Virginia Tech National Center of Excellence for Aviation

  12. Time-to-Produce, Inventory, and Asset Prices 

    E-Print Network [OSTI]

    Chen, Zhanhui

    2012-10-19

    In a production-based general equilibrium model, I study the impact of time-to-build and time-to-produce technology constraints and inventory on asset prices and macroeconomic quantity dynamics. A time-to-build constraint ...

  13. Essays on oil price shocks and financial markets 

    E-Print Network [OSTI]

    Wang, Jiayue

    2012-06-26

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

  14. Reprocessing option for spent fuel

    SciTech Connect (OSTI)

    Woolf, D.N. (British Nuclear Fuels PLC, Risley (United Kingdom))

    1991-11-01

    The options available to utilities for disposal of fuel discharged from their nuclear reactors is not limited to bury or burn. Many utilities in Europe and Japan have already opted to reprocess their spent fuel in the United Kingdom and/or France. This enables the utility to recycle the recovered uranium and plutonium and allows the utilities' countries to formulate a waste disposal policy without the time constraints that would otherwise be placed on them. This paper gives an insight into how and why British Nuclear Fuels plc (BNFL) is continuing to provide services to reprocess and recycle spent nuclear fuel. The closed fuel cycle represents the complete irradiated fuel management option and, with its use of well-established technologies, reprocessing of spent fuel is the only option that is available to utilities now.

  15. Intraclass Price Elasticity & Electric Rate Design 

    E-Print Network [OSTI]

    Gresham, K. E.

    1987-01-01

    beyond this becomes more elastic as usage increases. In the book "Innovative Electric, Rates," John Chamberlin and Charles Dickson utilize an economic model to test conservation programs. This model utilizes intrac1ass price elasticities and has a.... Utilities must rely on customer data and intuition to estimate customer response to rate changes. These methods have several downfalls. First, the customer data may not reflect customer behavior in an economic downturn. Second, the data may not exactly...

  16. Pricing and Hedging Basis Risk under No Good Deal Laurence Carassus

    E-Print Network [OSTI]

    Pricing and Hedging Basis Risk under No Good Deal Assumption Laurence Carassus LPMA, Universit No Good Deal (NGD) Assumption. First, we clarify the notion of NGD for dynamic strategies, compute a lower with Fioul Oil 1% an option on Fioul Oil Straight Run 0,5%. In all these cases, one considers a more liquid

  17. Pricing and Hedging Basis Risk under No Good Deal Laurence Carassus

    E-Print Network [OSTI]

    Pricing and Hedging Basis Risk under No Good Deal Assumption Laurence Carassus LPMA, Universit No Good Deal (NGD) Assumption. First, we clarify the notion of NGD for dynamic strategies, compute a lower with Fioul Oil 1% an option on Fioul Oil Straight Run 0,5%. In all these cases, one consider a more liquid

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

    E-Print Network [OSTI]

    Lyuu, Yuh-Dauh

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

  19. Design Evolution Study - Aging Options

    SciTech Connect (OSTI)

    P. McDaniel

    2002-04-05

    The purpose of this study is to identify options and issues for aging commercial spent nuclear fuel received for disposal at the Yucca Mountain Mined Geologic Repository. Some early shipments of commercial spent nuclear fuel to the repository may be received with high-heat-output (younger) fuel assemblies that will need to be managed to meet thermal goals for emplacement. The capability to age as much as 40,000 metric tons of heavy metal of commercial spent nuclear he1 would provide more flexibility in the design to manage this younger fuel and to decouple waste receipt and waste emplacement. The following potential aging location options are evaluated: (1) Surface aging at four locations near the North Portal; (2) Subsurface aging in the permanent emplacement drifts; and (3) Subsurface aging in a new subsurface area. The following aging container options are evaluated: (1) Complete Waste Package; (2) Stainless Steel inner liner of the waste package; (3) Dual Purpose Canisters; (4) Multi-Purpose Canisters; and (5) New disposable canister for uncanistered commercial spent nuclear fuel. Each option is compared to a ''Base Case,'' which is the expected normal waste packaging process without aging. A Value Engineering approach is used to score each option against nine technical criteria and rank the options. Open issues with each of the options and suggested future actions are also presented. Costs for aging containers and aging locations are evaluated separately. Capital costs are developed for direct costs and distributable field costs. To the extent practical, unit costs are presented. Indirect costs, operating costs, and total system life cycle costs will be evaluated outside of this study. Three recommendations for aging commercial spent nuclear fuel--subsurface, surface, and combined surface and subsurface are presented for further review in the overall design re-evaluation effort. Options that were evaluated but not recommended are: subsurface aging in a new subsurface area (high cost); surface aging in the complete waste package (risk to the waste package and impact on the Waste Handling Facility); and aging in the stainless steel liner (impact on the waste package design and new high risk operations added to the waste packaging process). The selection of a design basis for aging will be made in conjunction with the other design re-evaluation studies.

  20. Generation Adequacy via Call Options Obligations: Safe Passage to the Promised Land

    SciTech Connect (OSTI)

    Oren, Shmuel S.

    2005-11-01

    In contrast to the controversial LICAP, the author's plan relies on standard hedging instruments that a mature energy-only market can support without regulatory intervention. Unlike payments for an artificial capacity product, for which there is no natural demand, energy call options provide intrinsic value to customers, since the generators who are paid for such options must pay back any windfall profits. This amounts to a risk trading arrangement where the consumers assume some of the investment risk, in exchange for reducing their price risk.

  1. An Analysis of the Effects of Residential Photovoltaic Energy Systems on Home Sales Prices in California

    SciTech Connect (OSTI)

    Hoen, Ben; Cappers, Peter; Wiser, Ryan; Thayer, Mark

    2011-04-19

    An increasing number of homes in the U.S. have sold with photovoltaic (PV) energy systems installed at the time of sale, yet relatively little research exists that estimates the marginal impacts of those PV systems on home sale prices. A clearer understanding of these possible impacts might influence the decisions of homeowners considering the installation of a PV system, homebuyers considering the purchase of a home with PV already installed, and new home builders considering including PV as an optional or standard product on their homes. This research analyzes a large dataset of California homes that sold from 2000 through mid-2009 with PV installed. It finds strong evidence that homes with PV systems sold for a premium over comparable homes without PV systems during this time frame. Estimates for this premium expressed in dollars per watt of installed PV range, on average, from roughly $4 to $5.5/watt across a large number of hedonic and repeat sales model specifications and robustness tests. When expressed as a ratio of the sales price premium of PV to estimated annual energy cost savings associated with PV, an average ratio of 14:1 to 19:1 can be calculated; these results are consistent with those of the more-extensive existing literature on the impact of energy efficiency on sales prices. When the data are split among new and existing homes, however, PV system premiums are markedly affected. New homes with PV show premiums of $2.3-2.6/watt, while existing homes with PV show premiums of more than $6/watt. Reasons for this discrepancy are suggested, yet further research is warranted. A number of other areas where future research would be useful are also highlighted.

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

    SciTech Connect (OSTI)

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

    2005-02-09

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

  3. Trends in Utility Green Pricing Programs (2005)

    SciTech Connect (OSTI)

    Bird, Lori; Brown, Elizabeth

    2006-10-01

    In the early 1990s, only a handful of utilities offered their customers a choice of purchasing electricity generated from renewable energy sources. Today, more than 600 utilities—or about 20% of all utilities nationally—provide their customers a “green power” option. Because some utilities offer programs in conjunction with cooperative associations or other publicly owned power entities, the number of distinct programs totals more than 130. Through these programs, more than 50 million customers have the ability to purchase renewable energy to meet some portion or all of their electricity needs—or make contributions to support the development of renewable energy resources. Typically, customers pay a premium above standard electricity rates for this service. This report presents year-end 2005 data on utility green pricing programs, and examines trends in consumer response and program implementation over time. The data in this report, which were obtained via a questionnaire distributed to utility green pricing program managers, can be used by utilities to benchmark the success of their green power programs.

  4. Volatility of Power Grids under Real-Time Pricing

    E-Print Network [OSTI]

    Roozbehani, Mardavij; Mitter, Sanjoy K

    2011-01-01

    The paper proposes a framework for modeling and analysis of the dynamics of supply, demand, and clearing prices in power system with real-time retail pricing and information asymmetry. Real-time retail pricing is characterized by passing on the real-time wholesale electricity prices to the end consumers, and is shown to create a closed-loop feedback system between the physical layer and the market layer of the power system. In the absence of a carefully designed control law, such direct feedback between the two layers could increase volatility and lower the system's robustness to uncertainty in demand and generation. A new notion of generalized price-elasticity is introduced, and it is shown that price volatility can be characterized in terms of the system's maximal relative price elasticity, defined as the maximal ratio of the generalized price-elasticity of consumers to that of the producers. As this ratio increases, the system becomes more volatile, and eventually, unstable. As new demand response technolo...

  5. Price Discovery in Time and Space: The Course of Condominium Prices in Singapore

    E-Print Network [OSTI]

    Hwang, Min; Quigley, John M.

    2007-01-01

    Method for Real Estate Price Index Construction,” Journal ofAutocorrelation in House Prices,” Journal of Real Estate1997), “Quotes, Order Flow, and Price Discovery,” Journal of

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

    E-Print Network [OSTI]

    Bolinger, Mark A.

    2010-01-01

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

  7. Patterns of Pass-through of Commodity Price Shocks to Retail Prices

    E-Print Network [OSTI]

    Berck, Peter; Leibtag, Ephraim S.; Villas-Boas, Sofia B.; Solis, Alex

    2009-01-01

    B. 1975. “The Farm-Retail Price Spread in a Competitive Foodthe Income Effect: Gasoline Prices and Grocery Purchases. ”2004. “Patterns of Retail Price Variation. ” The RAND

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

    E-Print Network [OSTI]

    Bolinger, Mark

    2009-01-01

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

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

    E-Print Network [OSTI]

    Bolinger, Mark A.

    2010-01-01

    range of different plausible price projections, using eitherreference-case fuel price projection from the EIA or someprices and the AEO gas price projections over the past two

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

    E-Print Network [OSTI]

    Bolinger, Mark

    2009-01-01

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

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

    E-Print Network [OSTI]

    Bolinger, Mark

    2008-01-01

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

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

    E-Print Network [OSTI]

    Bolinger, Mark; Wiser, Ryan

    2005-01-01

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

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

    E-Print Network [OSTI]

    Bolinger, Mark; Wiser, Ryan

    2006-01-01

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

  14. Undergraduate Day Majors and Options Division of Academic Affairs

    E-Print Network [OSTI]

    Salvaggio, Carl

    Technology* Environmental Sustainability, Health and Safety Manufacturing Engineering Technology* Mechanical­Robotics Option Industrial Engineering Industrial Engineering­Ergonomics Option Industrial Engineering­Lean Six Sigma Option Industrial Engineering­Manufacturing Option Industrial Engineering­Six Sigma Option

  15. Analysis of Strategies of Companies under Carbon Constraint: Relationship between Profit Structure of Companies and Carbon/Fuel Price Uncertainty

    E-Print Network [OSTI]

    Hashimoto, Susumu

    This paper examines the relationship between future carbon prices and the expected profit of companies by case studies with model companies. As the future carbon price will vary significantly in accordance with the political ...

  16. Technology options and effective policies to reduce greenhouse gas

    E-Print Network [OSTI]

    Technology options and effective policies to reduce greenhouse gas emissions and improve security); DNE21+ model. · National Institute for Environmental Studies (Japan); AIM model. · Natural Resources both the climate problem and security of supply, and thus provide synergies, while others represent

  17. Communication Needs and Integration Options

    E-Print Network [OSTI]

    consumer participation in the smart grid. It describes the motivation for AMI, surveys the current stateCommunication Needs and Integration Options for AMI in the Smart Grid Future Grid Initiative White Paper Power Systems Engineering Research Center Empowering Minds to Engineer the Future Electric Energy

  18. School of Medicine Degree options

    E-Print Network [OSTI]

    Brierley, Andrew

    126 School of Medicine Medicine Degree options BSc (Single Honours Degree) Medicine Entrance level. HNC Applied Sciences`Pathway to Medicine'at Perth College The School of Medicine has formed at St Andrews. More information can be found on the School of Medicine webpages or from Perth College T

  19. School of Medicine Degree options

    E-Print Network [OSTI]

    Brierley, Andrew

    136 School of Medicine Medicine Degree options BSc (Single Honours Degree) Medicine Entrance Applied Sciences`Pathway to Medicine'at Perth College The School of Medicine has formed a partnership Andrews. More information can be found on the School of Medicine web pages ( http://medicine

  20. Empirical Evaluation of Theories for Buying and Selling Prices of Binary Gamgles Michael M. Birnbaum, Sherry Yeary, R. Duncan Luce, and Li Zhao

    E-Print Network [OSTI]

    White, Douglas R.

    MBS 0212 Empirical Evaluation of Theories for Buying and Selling Prices of Binary Gamgles Michael M of buyers and sellers. Consistent with previous results, selling prices exceed buying prices of these configural models. Keywords: buying price, choice, configural weighting, contingent valuation, cumulative

  1. Essays on Automotive Lending, Gasoline Prices, & Automotive Demand

    E-Print Network [OSTI]

    Schulz-Mahlendorf, Wilko Ziggy

    2013-01-01

    Gasoline PriceResponse to Chang- ing Gasoline Prices,” unpublishedShort-Run Price Elasticity of Gasoline Demand. ,” The Energy

  2. Tariff-based analysis of commercial building electricity prices

    E-Print Network [OSTI]

    Coughlin, Katie M.; Bolduc, Chris A.; Rosenquist, Greg J.; Van Buskirk, Robert D.; McMahon, James E.

    2008-01-01

    4.2 E?ective Marginal Prices . . . . . . . . . . . . . . . .Demand Prices . . . . . . . . . . . . . . . . . . . . . .4 Calculation of Electricity Prices 4.1 Average

  3. Lower oil prices and their implications for energy research and development policy

    SciTech Connect (OSTI)

    Not Available

    1983-01-01

    Two panels of witnesses from federal agencies, industrial and university research organizations, and the Congressional Budget Office discussed the effect that lower world oil prices might have on the level of government funding for energy research and development. The witnesses were asked to consider the long-term price of oil; recent changes in oil price, supply, and demand; the adequacy of projection models and forecasts in assessing the impacts of lower oil prices; and whether it is appropriate to link research and development funding to oil prices. Additional reports, analyses, statements, and responses to committee questions submitted for the record follow the testimony of the eight witnesses. (DCK)

  4. Tariff-based analysis of commercial building electricity prices

    E-Print Network [OSTI]

    Coughlin, Katie M.; Bolduc, Chris A.; Rosenquist, Greg J.; Van Buskirk, Robert D.; McMahon, James E.

    2008-01-01

    Energy and Demand Prices . . . . . . . . . . . . . . . . . . . . . .US DOE 1999. Marginal Energy Prices Report U.S. Departmentmarginal price Marginal energy price in cper kwh Marginal

  5. Market Prices and Uncertainty Report

    Reports and Publications (EIA)

    2015-01-01

    Monthly analysis of crude oil, petroleum products, natural gas, and propane prices is released as a regular supplement to the Short-Term Energy Outlook.

  6. NIST Special Publication 1181 Unit Pricing Guide

    E-Print Network [OSTI]

    NIST Special Publication 1181 Unit Pricing Guide "A Best Practice Approach to Unit Pricing" Product Identity and Size Retail Price Unit Price Miscellaneous Information (Retailer Specific) Editor David Sefcik #12;THIS PAGE INTENTIONALLY LEFT BLANK #12;NIST Special Publication 1181 Unit Pricing Guide "A Best

  7. Georgia Natural Gas Prices

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home PageMonthly","10/2015"4,"Ames5 Tables July 1996 Energy Information Administration Office of Coal, Nuclear, ElectricRhodeFeet) Decadefrom AllResidentialImports Price

  8. Hawaii Natural Gas Prices

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home PageMonthly","10/2015"4,"Ames5 Tables July 1996 Energy Information Administration Office of Coal, Nuclear, ElectricRhodeFeet)CubicCitygate Price 17.82 22.94 31.58 32.39

  9. Oil Price Volatility

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet)Decade Year-0 Year-1 Year-2 Year-3+ LeaseWellhead Price

  10. Average Commercial Price

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming Dry NaturalPrices1 Table 1.101 (Million Short6 Macroeconomic88.04 8.50

  11. Average Residential Price

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming Dry NaturalPrices1 Table 1.101 (Million Short6 Macroeconomic88.04

  12. Residential propane price

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming Dry Natural GasNaturalOctoberheating oil priceheating9,propane price

  13. Residential propane price decreases

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming Dry Natural GasNaturalOctoberheating oilpropane price decreases The

  14. Residential propane price decreases

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming Dry Natural GasNaturalOctoberheating oilpropane price decreases

  15. Residential propane price decreases

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming Dry Natural GasNaturalOctoberheating oilpropane price decreasespropane

  16. Residential propane price decreases

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming Dry Natural GasNaturalOctoberheating oilpropane price

  17. Residential propane price decreases

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming Dry Natural GasNaturalOctoberheating oilpropane pricepropane price

  18. Residential propane price increases

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming Dry Natural GasNaturalOctoberheating oilpropanepropane price increases

  19. Residential propane price increases

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming Dry Natural GasNaturalOctoberheating oilpropanepropane price increases4,

  20. Residential propane price increases

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming Dry Natural GasNaturalOctoberheating oilpropanepropane price

  1. Residential propane price increases

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming Dry Natural GasNaturalOctoberheating oilpropanepropanepropane price

  2. Residential propane prices available

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming Dry Natural GasNaturalOctoberheating13, 2014 Residential propane price

  3. Residential propane prices available

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming Dry Natural GasNaturalOctoberheating13, 2014 Residential propane price1,

  4. Residential propane prices available

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming Dry Natural GasNaturalOctoberheating13, 2014 Residentialpropane prices

  5. Residential propane prices decreases

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming Dry Natural GasNaturalOctoberheating13, 2014 Residentialpropane prices5,

  6. Residential propane prices increase

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming Dry Natural GasNaturalOctoberheating13, 2014propane prices increase The

  7. Residential propane prices increase

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming Dry Natural GasNaturalOctoberheating13, 2014propane prices increase

  8. Residential propane prices increase

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming Dry Natural GasNaturalOctoberheating13, 2014propane prices

  9. Residential propane prices increase

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming Dry Natural GasNaturalOctoberheating13, 2014propane pricespropane prices

  10. Residential propane prices stable

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming Dry Natural GasNaturalOctoberheating13, 2014propanepropane price

  11. World Crude Oil Prices

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming Dry NaturalPrices1 Table 1.10 Cooling Degree-Days by038.2

  12. Natural Gas Wellhead Price

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming Dry NaturalPrices1Markets16 (next20, 2008 Next3,4,04, 20119,7,1

  13. Natural Gas Wellhead Price

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming Dry NaturalPrices1Markets16 (next20, 2008 Next3,4,04, 20119,7,1

  14. Natural Gas Citygate Price

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming Dry NaturalPrices1Markets See(STEO),7F e b r61-£661.loading new4.21

  15. Natural Gas Industrial Price

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming Dry NaturalPrices1Markets See(STEO),7F e28 3.24 3.23200950 3.69 3.68

  16. Diesel prices decrease

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming Dry Natural GasNatural Gas Usage FormDiesel pricesDiesel

  17. Diesel prices decrease

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming Dry Natural GasNatural Gas Usage FormDiesel pricesDieselDiesel

  18. Diesel prices decrease

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming Dry Natural GasNatural Gas Usage FormDiesel pricesDieselDieselDiesel

  19. Diesel prices decrease slightly

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming Dry Natural GasNatural Gas Usage FormDieselDieselDiesel prices

  20. Diesel prices flat nationally

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming Dry Natural GasNatural Gas Usage FormDieselDieselDieselDiesel prices