Sample records for option pricing model

  1. Modeling Dependence in Data: Options Pricing and Random Walks

    E-Print Network [OSTI]

    Kumar, Nitesh

    2013-01-01T23:59:59.000Z

    option pricing under GARCH by a Markov chain approximation.S. (2000). A closed-form GARCH option valuation model. Theof stochastic and/or GARCH volatility (Heston, 1993; Heston

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

    E-Print Network [OSTI]

    Jaimungal, Sebastian

    Energy Spot Price Models and Spread Options Pricing Samuel Hikspoors and Sebastian Jaimungal In this article, we construct forward price curves and value a class of two asset exchange options for energy the implied market prices of risk for this commodity. 1. Introduction The energy commodity markets

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

    E-Print Network [OSTI]

    Howison, Sam

    A comparison of option prices under different pricing measures in a stochastic volatility model with correlation Vicky Henderson Princeton University David Hobson § University of Bath Sam Howison ¶ University option prices in an incomplete stochastic volatility model with correlation. In a general setting, we

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

    E-Print Network [OSTI]

    Chaudhuri, Sanjay

    Convergence Speed of GARCH Option Price to Diffusion Option Price Jin-Chuan Duan, Yazhen Wang that as the time interval between two consecutive observations shrinks to zero, a properly constructed GARCH model will weakly converge to a bivariate diffusion. Naturally the European option price under the GARCH model

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

    E-Print Network [OSTI]

    Wang, Yazhen

    Convergence Speed of GARCH Option Price to Diffusion Option Price Jin-Chuan Duan National constructed GARCH model will weakly converge to a bi- variate diffusion. Naturally the European option price under the GARCH model will also converge to its bivariate diffusion counterpart. This paper investigates

  6. Efficient pricing of swing options in Levy-driven models Oleg Kudryavtsev

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    ; Amer- ican options; energy derivatives; Numerical methods for option pricing. 1 Introduction for risk management. In a deregulated market, energy contracts will need to be priced accordingEfficient pricing of swing options in L´evy-driven models Oleg Kudryavtsev Department

  7. Option Pricing for GARCH-type Models with Generalized Hyperbolic Innovations

    E-Print Network [OSTI]

    Boyer, Edmond

    Option Pricing for GARCH-type Models with Generalized Hyperbolic Innovations Christophe Chorro on equity option books. Given the historical measure, the dynamics of assets are modeled by Garch, Incomplete markets, CAC 40, SP 500, GARCH-type models. JEL classification: G13, C22. The authors

  8. 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 volatility curve. First draft: January 18, 2013. Seo: sangseo@wharton.upenn.edu; Wachter: jwachter

  9. Pricing Bivariate Option under GARCH-GH Model with Dynamic Copula: Application for

    E-Print Network [OSTI]

    Paris-Sud XI, Universit de

    Pricing Bivariate Option under GARCH-GH Model with Dynamic Copula: Application for Chinese Market D Heteroskedastic (GARCH) process. In order to provide a general framework being able to accommodate skewness by the GARCH-GH model with time-varying copula differ substantially from the prices implied by the GARCH

  10. Modelling spikes and pricing swing options in electricity Ben Hambly Sam Howison Tino Kluge

    E-Print Network [OSTI]

    Howison, Sam

    Modelling spikes and pricing swing options in electricity markets Ben Hambly Sam Howison Tino Kluge of electricity markets is the formation of price spikes which are caused when the maximum supply and current April 24, 2007 Abstract Most electricity markets exhibit high volatilities and occasional distinctive

  11. Cache-Optimal Algorithms for Option Pricing John E. Savage

    E-Print Network [OSTI]

    Savage, John

    , and the leaves are at expiration times. We use G (n) biop to determine the price of an option at the root node a discrete time model [Kwok 1998; Cox et al. 1979]. The binomial option pricing computation is modeledCache-Optimal Algorithms for Option Pricing John E. Savage Brown University, Providence, Rhode

  12. Equilibrium pricing bounds on option prices Marie Chazala

    E-Print Network [OSTI]

    Boyer, Edmond

    probability measure that is equivalent to the historical one, and under which the discounted price processesEquilibrium pricing bounds on option prices Marie Chazala and Ely`es Jouinib a CREST, France price at maturity, we derive an upper bound on the call option price by putting two kind of restrictions

  13. Architecture independent parallel binomial tree option price valuations

    E-Print Network [OSTI]

    Gerbessiotis, Alexandros V.

    Architecture independent parallel binomial tree option price valuations Alexandros V. Gerbessiotis02 #12; Architecture independent parallel binomial tree option price valuations Alexandros V in American or Europeanstyle option valuations can be performed in parallel in the binomialtree model

  14. On Accurate Trinomial GARCH Option Pricing

    E-Print Network [OSTI]

    Lyuu, Yuh-Dauh

    On Accurate Trinomial GARCH Option Pricing Algorithms Advisor: Prof. Yuh-Dauh Lyuu Chun-Yang Liu Department of Computer Science and Information Engineering National Taiwan University #12;Abstract The GARCH-based GARCH option pricing algorithms suffer from exponential running time, inaccuracy, or other problems

  15. Jump Starting GARCH: Pricing Options with Jumps in Returns and

    E-Print Network [OSTI]

    Chaudhuri, Sanjay

    Jump Starting GARCH: Pricing Options with Jumps in Returns and Volatilities J. Duan, P. Ritchken and volatilities. Our model nests Duan's GARCH option models where conditional returns are constrained to being normal, as well as extends Merton's jump-diffusion model by allowing return volatility to exhibit GARCH

  16. On Accurate and Provably Efficient GARCH Option Pricing Algorithms

    E-Print Network [OSTI]

    Lyuu, Yuh-Dauh

    On Accurate and Provably Efficient GARCH Option Pricing Algorithms Yuh-Dauh Lyuu Chi-Ning Wu Abstract The GARCH model has been very successful in capturing the serial corre- lation of asset return tree-based GARCH op- tion pricing algorithms suffer from exponential running time, a cut-off maturity

  17. Rolling Up a Put Option as Prices Increase

    E-Print Network [OSTI]

    Johnson, Jason; Polk, Wade

    2008-10-07T23:59:59.000Z

    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...

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

    E-Print Network [OSTI]

    Carmona, Rene

    energy prices dynamics, and we explain how the pricing and hedging algorithms can be implemented bothPRICING 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

  19. GARCH Option Pricinga Options can be priced when the underlying asset's

    E-Print Network [OSTI]

    Lyuu, Yuh-Dauh

    GARCH Option Pricinga Options can be priced when the underlying asset's return follows a GARCH for any elapsed time t. aA Bloomberg quant said, on Feb 29, 2008, that GARCH option pricing is seldom used in trading. c 2008 Prof. Yuh-Dauh Lyuu, National Taiwan University Page 686 #12;GARCH Option Pricing

  20. Option pricing and hedging with heteroscedastic underlying price processes. Discrete and continuous time

    E-Print Network [OSTI]

    Jeanjean, Louis

    Modeling of the underlying: the GARCH and ARSV processes 2 Physical and risk neutral measures 3 Continuous time GARCH diffusion limits 4 Pricing and hedging 5 Numerical Experiments 6 Hedging ARSV options Juan-Pablo Ortega (CNRS) 2 / 61 #12;Modelling the underlying: the GARCH and ARSV GARCH(1,1) under physical measure P

  1. An Accurate and Provably Efficient GARCH Option Pricing Tree

    E-Print Network [OSTI]

    Lyuu, Yuh-Dauh

    An Accurate and Provably Efficient GARCH Option Pricing Tree Advisor: Prof. Yuh-Dauh Lyuu Chi-Ning Wu Department of Finance National Taiwan University #12;Abstract The trinomial-tree GARCH option not prevent explosion. This thesis then presents a trinomial-tree GARCH option pricing algorithm that solves

  2. The Information in Option Volume for Future Stock Prices

    E-Print Network [OSTI]

    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. Quantum extension of European option pricing based on the Ornstein-Uhlenbeck process

    E-Print Network [OSTI]

    Edward W. Piotrowski; Malgorzata Schroeder; Anna Zambrzycka

    2005-10-16T23:59:59.000Z

    In this work we propose a option pricing model based on the Ornstein-Uhlenbeck process. It is a new look at the Black-Scholes formula which is based on the quantum game theory. We show the differences between a classical look which is price changing by a Wiener process and the pricing is supported by a quantum model.

  4. Robust option pricing : An [epsilon]-arbitrage approach

    E-Print Network [OSTI]

    Chen, Si, S.M. Massachusetts Institute of Technology

    2009-01-01T23:59:59.000Z

    This research aims to provide tractable approaches to price options using robust optimization. The pricing problem is reduced to a problem of identifying the replicating portfolio which minimizes the worst case arbitrage ...

  5. Trinomialtree based parallel option price Alexandros V. Gerbessiotis

    E-Print Network [OSTI]

    Gerbessiotis, Alexandros V.

    can be performed in parallel. We introduce a method in performing these valuations in parallelTrinomialtree based parallel option price valuations Alexandros V. Gerbessiotis Department; Trinomialtree based parallel option price valuations Alexandros V. Gerbessiotis CS Department New Jersey

  6. Option Pricing with Levy-Stable Processes Generated by Levy-Stable Integrated Variance

    E-Print Network [OSTI]

    Howison, Sam

    Cartea1 and Sam Howison2 1 Birkbeck, University of London 2 Mathematical Institute, University of Oxford hypothesis, stochastic volatil- ity, -stable processes, option pricing, time-changed Brownian motion. We of the underlying stochastic processes used in the financial literature were based on Brownian motion, modelling

  7. Perturbation Expansion for Option Pricing with Stochastic Volatility

    E-Print Network [OSTI]

    Petr Jizba; Hagen Kleinert; Patrick Haener

    2007-08-22T23:59:59.000Z

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

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

    E-Print Network [OSTI]

    California at Berkeley. University of

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

  9. A Dynamic Programming Procedure for Pricing American-Style Asian Options

    E-Print Network [OSTI]

    L'Ecuyer, Pierre

    A Dynamic Programming Procedure for Pricing American-Style Asian Options Hatem Ben-Ameur · Michèle@iro.umontreal.ca http://www.iro.umontreal.ca/~lecuyer Pricing European-style Asian options based on the arithmetic) for which no easily computable analytical solution is available. Pricing their American-style counter- parts

  10. Multi-Factor Energy Price Models Exotic Derivatives Pricing

    E-Print Network [OSTI]

    Jaimungal, Sebastian

    Multi-Factor Energy Price Models and Exotic Derivatives Pricing by Samuel Hikspoors A thesis of Statistics University of Toronto c Copyright by Samuel Hikspoors 2008 #12;Multi-Factor Energy Price Models and practitioners alike recently started to develop the tools of energy derivatives pricing

  11. Complexity of the Ritchken-Trevor-Cakici-Topyan GARCH Option Pricing Algorithm

    E-Print Network [OSTI]

    Lyuu, Yuh-Dauh

    Complexity of the Ritchken-Trevor-Cakici-Topyan GARCH Option Pricing Algorithm Yuh-Dauh Lyuu, Taiwan Abstract The trinomial-tree GARCH option pricing algo- rithm of Ritchken and Trevor (1999, exceeds a typically small number determined by the GARCH parameters. Worse, when explo- sion happens

  12. Pricing Parisian-Type Options A Thesis Submitted to the Graduate Institute of

    E-Print Network [OSTI]

    Lyuu, Yuh-Dauh

    2.1.1 The Process for Stock Prices . . . . . . . . . . . . . . . 8 2.1.2 Risk-Neutral Valuation to problems in valuation. A path-dependent option is among all the most complicated derivative in its valuation. The terminal payoff for an option of such type depends critically on the price path of its

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

    E-Print Network [OSTI]

    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

  14. A NEWTON METHOD FOR AMERICAN OPTION PRICING THOMAS F. COLEMAN, YUYING LI, AND ARUN VERMA

    E-Print Network [OSTI]

    Li, Yuying

    in the American option valuation. We illustrate that the proposed method on aver- age solves a discretized problem curve. American option valuation has been an active research area; many methods have been proposedA NEWTON METHOD FOR AMERICAN OPTION PRICING THOMAS F. COLEMAN, YUYING LI, AND ARUN VERMA December

  15. Modeling intraurban price competition: an example of gasoline pricing

    SciTech Connect (OSTI)

    Haining, R.

    1983-11-01T23:59:59.000Z

    Three interacting market models are considered as models for intraurban retail price variation for a single homogenous good, price-posted gasoline. Modifications include spatial markets instead of interacting economic sectors and supply functions independent of price levels in other markets. The final section discusses the results of fitting one of the models to gasoline data for the city of Sheffield during a period of intensifying price competition in the first quarter of 1982. It is concluded, with respect to gasoline price modeling, both independent and interacting market models exist but at different intraurban scales. 15 references, 1 figure, 1 table.

  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. E-Print Network 3.0 - american option pricing Sample Search Results

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

    13, MathEcon 337, Dr. M. Bohner. Dec 7, 2011. Due Dec 7, 1 pm. 83. Calculate the price of a 3-month European put option on a non-dividend-paying stock Summary: is 4 months....

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

    E-Print Network [OSTI]

    Humpherys, Jeffrey

    Option Pricing for Inventory Management and Control Bryant Angelos, McKay Heasley, and Jeffrey such Bryant Angelos and McKay Heasley are research assistants under the advisement of Jeffrey Humpherys

  19. Thesis for the Degree of Licentiate of Engineering On the Pricing of Cliquet Options

    E-Print Network [OSTI]

    Patriksson, Michael

    Thesis for the Degree of Licentiate of Engineering On the Pricing of Cliquet Options with Global for the Fourier method. #12;Preface About this thesis This licentiate thesis concludes the five semester ECMI

  20. Minimax Option Pricing Meets Black-Scholes in the Limit Jacob Abernethy

    E-Print Network [OSTI]

    Abernethy, Jake

    Minimax Option Pricing Meets Black-Scholes in the Limit Jacob Abernethy Computer & Information or distributed for profit or commercial advantage and that copies bear this notice and the full citation

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

    E-Print Network [OSTI]

    Ndogmo, J C

    2007-01-01T23:59:59.000Z

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

  2. Pricing A Class of Multiasset Options using Information on Smaller ...

    E-Print Network [OSTI]

    2007-03-19T23:59:59.000Z

    Mar 19, 2007 ... Extensions to markets where only a finite set of options are traded on ...... On non-

  3. 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 resultReal Option Pricing with Mean-Reverting Investment and Project Value October 1st, 2009 #12;Abstract to invest in a project enjoy a long and dis- tinguished history. The classical work of McDonald and Siegel

  4. 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 and electricity prices is a relevant issue. Numerous diffusion-type and econometric models have been proposed

  5. 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 path. Accurate valuation of claims based on competitive electricity prices has proved problematic, as electricity price data are not well represented by traditional commodity price models of Brownian motion

  6. Pricing bivariate option under GARCH processes with time-varying copula

    E-Print Network [OSTI]

    Boyer, Edmond

    Pricing bivariate option under GARCH processes with time-varying copula J. Zhang a,b,c,, D. Gu Autoregressive Conditionally Heteroskedastic (GARCH) process. As the associa- tion between the underlying assets, the empirical work displays the advantages of the suggested method. Key words: call-on-max option, GARCH process

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

    E-Print Network [OSTI]

    2013-01-02T23:59:59.000Z

    Nov 11, 2011 ... Springer Science+Business Media, LLC (outside the USA) 2011 ...... Carr, P., Madan, D.B., Smith, R.H.: Option valuation using the fast Fourier...

  8. 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

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

    E-Print Network [OSTI]

    Cvetanoska, Verche

    2012-01-01T23:59:59.000Z

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

  10. Recovering volatility from option prices by evolutionary optimization

    E-Print Network [OSTI]

    Cont, Rama

    in the framework of a research project on model calibration at HSBC-CCF, Division of Market and Model Risk. Earlier on Mathematical Finance (Nice), the IPM Workshop on Inverse Problems (Tehran), HSBC Quants seminar (June 2003

  11. Recovering volatility from option prices by evolutionary optimization

    E-Print Network [OSTI]

    Del Moral , Pierre

    was developed in the framework of a research project on model calibration at HSBC-CCF, Division of Market, the Satellite meeting on Mathematical Finance (Nice), the IPM Workshop on Inverse Problems (Tehran), HSBC Quants

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

    E-Print Network [OSTI]

    Boyer, Edmond

    The recent deregulation of energy markets has led to the development in several countries of market places 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

  13. Fortuna: Model Checking Priced Probabilistic Timed Automata

    E-Print Network [OSTI]

    Vaandrager, Frits

    Fortuna: Model Checking Priced Probabilistic Timed Automata Jasper Berendsen, David N. Jansen.O. Box 9010, 6500 GL Nijmegen, the Netherlands Abstract. We introduce Fortuna, the first tool for model checking priced probabilistic timed automata (PPTAs). Fortuna can handle the combination of real

  14. Crude oil prices and petroleum inventories : remedies for a broken oil price forecasting model.

    E-Print Network [OSTI]

    Grimstad, Dan

    2007-01-01T23:59:59.000Z

    ??The empirical relationship between crude oil prices and petroleum inventories has been exploited in a number of short-term oil price forecasting models. Some of the (more)

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

    E-Print Network [OSTI]

    Topaloglu, Huseyin

    Approximation Methods for Pricing Problems under the Nested Logit Model with Price Bounds W@orie.cornell.edu November 13, 2012 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

  16. 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 object first-price auction and single object second- price auction. These formats are analyzed under

  17. An Empirical Test of Pricing Kernel Monotonicity

    E-Print Network [OSTI]

    Beare, Brendan K.; Schmidt, Lawrence

    2011-01-01T23:59:59.000Z

    and Mancini, L. (2008). A GARCH option pricing model with ?H. H. (2011). Realized GARCH: A joint model for returns andO (2010) use an asymmet- ric GARCH model to obtain pricing

  18. Fortuna: Model Checking Priced Probabilistic Timed Automata

    E-Print Network [OSTI]

    Vaandrager, Frits

    Fortuna: Model Checking Priced Probabilistic Timed Automata Jasper Berendsen, David N. Jansen, the Netherlands Email: jasperb,dnjansen,fvaan @cs.ru.nl Abstract--We introduce FORTUNA, the first tool for model of probabilistic timed automata (PTAs) with cost-rates and discrete cost increments on states. FORTUNA is able

  19. Maximum Utility Product Pricing Models and Algorithms Based on Reservation Prices

    E-Print Network [OSTI]

    Tunçel, Levent

    Maximum Utility Product Pricing Models and Algorithms Based on Reservation Prices R. Shioda L. Tun for pricing a product line with several customer segments under the assumption that customers' product choices utility model and formulate it as a mixed-integer programming problem, design heuristics and valid cuts

  20. Numerical Solution of Two Asset Jump Diffusion Models for Option Valuation

    E-Print Network [OSTI]

    Forsyth, Peter A.

    Numerical Solution of Two Asset Jump Diffusion Models for Option Valuation Simon S. Clift and Peter parabolic partial integro-differential equation (PIDE). An implicit, finite difference method is derived with an FFT. The method prices both American and European style contracts indepen- dent (under some simple

  1. hal-00146739,version1-15May2007 Optimal quantization for the pricing of swing options

    E-Print Network [OSTI]

    . Numerous other examples of energy contracts can be modeled as swing options. From storages [6, 8, stochastic control, optimal quantization, energy. Introduction In increasingly deregulated energy markets, requiring delivery or not. This is the kind of agreement that usually links an energy producer to a trader

  2. This paper considers the pricing of operational flexibility. By extending the recently develoed duality ideas for American option pricing we develop a dual representation for the problem and give

    E-Print Network [OSTI]

    Ludkovski, Mike

    ;3 1 Introduction A fundamental problem encountered in exotic energy derivatives is the pricing1 Abstract This paper considers the pricing of operational flexibility. By extending the recently develoed duality ideas for American option pricing we develop a dual representation for the problem

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

    E-Print Network [OSTI]

    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

  4. Introduction to Options

    E-Print Network [OSTI]

    Mintert, James R.; Welch, Mark

    2009-01-07T23:59:59.000Z

    Options give the agricultural industry a flexible pricing tool to assist in price risk managment. This publication defines an option and gives a brief introduction to this tool....

  5. Modelling spot and forward prices for energy companies

    E-Print Network [OSTI]

    Bhulai, Sandjai

    Modelling spot and forward prices for energy companies Dafydd Steele MSc Stochastics and Financial forward and spot prices for energy com- panies. The two main ways of modelling power prices are stochastic Mathematics dafydd.steele@edf-energy.com August 5, 2010 #12;Abstract The focus of this thesis is on modelling

  6. Practical stochastic modelling of electricity prices Michel Culot

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    Practical stochastic modelling of electricity prices Michel Culot Electrabel SA, Belgium Val and forward electricity. The model captures various styl- ized features of power prices, including mean pricing, Electricity and energy mar- kets, Regime-switching spikes, State-space (Kalman filter) estimation

  7. 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 Introduction The study of electricity price dynamics has attracted significant attention from researchers

  8. A streamlined real options model for Real Estate Development

    E-Print Network [OSTI]

    Barman, Baabak

    2007-01-01T23:59:59.000Z

    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 ...

  9. A FORECAST MODEL OF AGRICULTURAL AND LIVESTOCK PRODUCTS PRICE

    E-Print Network [OSTI]

    Boyer, Edmond

    A FORECAST MODEL OF AGRICULTURAL AND LIVESTOCK PRODUCTS PRICE Wensheng Zhang1,* , Hongfu Chen1 and excessive fluctuation of agricultural and livestock products price is not only harmful to residents' living, but also affects CPI (Consumer Price Index) values, and even leads to social crisis, which influences

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

    SciTech Connect (OSTI)

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

    2012-08-01T23:59:59.000Z

    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.

  11. 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

    2005-08-01T23:59:59.000Z

    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)?

  12. Fair Labor Standards Act and Service Contract Act-Price Adjustment UT-B Contracts Div (Multiple Year and Option Contracts)

    E-Print Network [OSTI]

    Pennycook, Steve

    Fair Labor Standards Act and Service Contract Act-Price Adjustment UT-B Contracts Div (Multiple STANDARDS ACT AND SERVICE CONTRACT ACT - PRICE ADJUSTMENT (MULTIPLE YEAR AND OPTION CONTRACTS) (Sept 2009 is provided under this clause. (c) The wage determination, issued under the Service Contract Act of 1965

  13. A Practical Approach to Modeling Managerial Risk Aversion in Real Option Valuation for Early Stage Investments ?

    E-Print Network [OSTI]

    Sebastian Jaimungal; Yuri Lawryshyn

    In this work, we build on a previous real options approach that utilizes managerial cash-flow estimates to value early stage project investments, but accounting for managerial risk aversion. We introduce a market sector indicator, which is assumed to be correlated to a tradeable market index, which, through a mapping function, drives and replicates the cash-flow estimates. The mapping allows us to link the cash-flow estimates to many theoretical real options frameworks which currently can not be applied in practice. Through indifference pricing we are able to model the effect of managerial risk aversion for any given set of cash-flow estimates.

  14. asset pricing models: Topics by E-print Network

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

    . . . . . . 29 5.2.1 Bivariate;6 The multivariate-multitemporal pricing model 34 6.1 Marginal distributions Vuik, Kees 108 Optimization Online - Asset-Liability Management...

  15. asset pricing model: Topics by E-print Network

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

    . . . . . . 29 5.2.1 Bivariate;6 The multivariate-multitemporal pricing model 34 6.1 Marginal distributions Vuik, Kees 108 Optimization Online - Asset-Liability Management...

  16. Reconciling Real Option Models: An Approach to Incorporate Market and Private Uncertainties

    E-Print Network [OSTI]

    Kelsey Barton; Yuri Lawryshyn

    Several real options analysis techniques designed for practitioners exist in literature, but there is discrepancy in their underlying assumptions, mechanics and applicability. Within this paper, a review of approaches targeted towards practitioners is included, and a novel way of integrating market and private uncertainties is proposed. Market risk is incorporated into the dynamics of the project cash flow by assuming the success of the project is correlated to a traded index. The value of the real option on the project cash flows may be priced by traditional numerical methods or a simulation approach similar to the previously recommended Datar-Mathews method (Datar et al., 2007). A numerical example presents the proposed model within the simulation framework. Keywords: Real options for practitioners, valuation under uncertainty, DM Method, correlated processes 1

  17. 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

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

    E-Print Network [OSTI]

    Kulkarni, Siddhivinayak

    2009-01-01T23:59:59.000Z

    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...

  19. A Threshold Autoregressive Model for Wholesale Electricity Prices

    E-Print Network [OSTI]

    A Threshold Autoregressive Model for Wholesale Electricity Prices B. Ricky Rambharat Carnegie of wholesale electricity soared to an unprecedented $7,500 per megawatt-hour (MwH) (see FERC, 1998). Models

  20. Maximum Utility Product Pricing Models and Algorithms Based on ...

    E-Print Network [OSTI]

    2007-04-16T23:59:59.000Z

    Apr 15, 2007 ... We consider a revenue management model for pricing a product line with several customer segments .... in a tie (in terms of the underlying utilities) for the best price for a customer segment. Without ...... However, the heuristic appears to make very few reassignments in practice. ...... CPLEX 9.1 User Manual.

  1. Convergence of the Approximation Scheme to American Option Pricing via the Discrete Morse Semiflow

    SciTech Connect (OSTI)

    Ishii, Katsuyuki, E-mail: ishii@maritime.kobe-u.ac.jp [Kobe University, Graduate School of Maritime Sciences (Japan); Omata, Seiro, E-mail: omata@kenroku.kanazawa-u.ac.jp [Kanazawa University, School of Mathematics and Physics, Institute of Science and Engineering (Japan)

    2011-12-15T23:59:59.000Z

    We consider the approximation scheme to the American call option via the discrete Morse semiflow, which is a minimizing scheme of a time semi-discretized variational functional. In this paper we obtain a rate of convergence of approximate solutions and the convergence of approximate free boundaries. We mainly apply the theory of variational inequalities and that of viscosity solutions to prove our results.

  2. Shout Options: A Framework For Pricing Contracts Which Can Be Modified By The Investor

    E-Print Network [OSTI]

    Forsyth, Peter A.

    problems. This paper describes a general framework for the valuation of complex types of shout options. Numerical issues related to interpolation and choice of timestepping method are considered in detail. Some'' a minimum amount which will be received at the maturity of the contract. The valuation and hedging

  3. Numerical Valuation of Discrete Barrier Options with

    E-Print Network [OSTI]

    Chu, Hao-hua

    Numerical Valuation of Discrete Barrier Options with the Adaptive Mesh Model and Other Competing for discrete barrier options such that many methods have been suggested and declared to price discrete barrier options fast and accurately but no one can tell exactly that what method is the best. We also make

  4. Factors Affecting Option Premium Values

    E-Print Network [OSTI]

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

    1999-06-23T23:59:59.000Z

    prices or buyers against ris- ing prices. A put option allows producers to establish a price floor or minimum selling price. With a put the producer can benefit from a price rally. The buyer of a put option pays an option premium but does not have... to establish a margin account. For this premium, the put option buyer has the right, but not the obliga- tion, to sell a futures contract at a predetermined price known as the ?strike? price. Call Options Call options protect buyers from rising prices...

  5. A Two State Capital Asset Pricing Model Moshe Fridman

    E-Print Network [OSTI]

    as Hidden Markov Models (HMM). We apply the model to monthly return data for three oil industry corporation expected returns on capital assets investments with ex- pected market returns. Under the model, the returnA Two State Capital Asset Pricing Model Moshe Fridman Institute for Mathematics and its

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

    SciTech Connect (OSTI)

    Not Available

    1994-04-07T23:59:59.000Z

    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.

  7. E-Print Network 3.0 - american put options Sample Search Results

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

    using binomial lattice model with generic... input parameter values. 2. Develop a MATLAB code to price European and American call optionsput options... . Develop a MATLAB...

  8. 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

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

    E-Print Network [OSTI]

    markets. Index Terms-- Electricity spot price, locational marginal price, electricity forward curveIEEE TRANSACTIONS ON POWER SYSTEMS, CHEN, DENG AND HUO. 1 Electricity Price Curve Modeling and prediction of electricity price curves by applying the manifold learning methodology. Cluster analysis based

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

    E-Print Network [OSTI]

    Huo, Xiaoming

    --Electricity forward curve, electricity spot price, forecasting, locational marginal price, manifold learning. IIEEE 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

  11. 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 for Information and Decision Systems, Massachusetts Institute of Technology, Cambridge, MA, USA {mardavij, mdrine loop system. Under this pricing mechanism, electricity is priced at the exant´e price (calculated based

  12. 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 pricing in electricity markets, thus extending the growing branch of liter- ature which describes power prices for electricity. We capture both the heavy-tailed nature of spot prices and the complex dependence

  13. The Agent's Policy in an Asset Pricing Model Andrew Culham

    E-Print Network [OSTI]

    they use when taking expectations of future prices. Under such assumptions, asset pric- ing models remain is perishable and thus must be consumed or in- vested in the stock each period. Note that with this set up we t is agent i's stock holdings in period t, wi t is agent i's exogenous endowment in period t (could

  14. 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 ...

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

    E-Print Network [OSTI]

    California at Berkeley. University of

    PWP-073 Stochastic Models of Energy Commodity Prices and Their Applications: Mean.ucei.berkeley.edu/ucei #12;Stochastic Models of Energy Commodity Prices and Their Applications: Mean-reversion with Jumps-switching and stochastic volatility into these models in order to capture the salient features of energy commodity prices

  16. 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

  17. Hedging With a Put Option

    E-Print Network [OSTI]

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

    1999-06-23T23:59:59.000Z

    , corn options delivery months are December, March, May, July and September. Cotton delivery months are December, March, May, July, and October. Strike Price A put option is tied to a predetermined price level, in the underlying delivery month, at which...

  18. The Window Strategy with Options

    E-Print Network [OSTI]

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

    1999-06-23T23:59:59.000Z

    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 window strategy works...

  19. 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, and Duane J. Seppi Abstract We introduce a new model for electricity prices, based on the principle in a study of Californian wholesale electricity prices over a three-year period including the crisis period

  20. 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

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

    Reports and Publications (EIA)

    2015-01-01T23:59:59.000Z

    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.

  2. A Model of Optimal Portfolio Selection under Liquidity Risk and Price Impact

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    A Model of Optimal Portfolio Selection under Liquidity Risk and Price Impact Vathana LY VATH risky asset subject to liquidity risk and price impact. In this market, an investor may transfer funds between the two assets at any discrete time. Each purchase or sale policy decision affects the price

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

    E-Print Network [OSTI]

    Standiford, Richard B.

    Evolution of a Visual Impact Model to Evaluate Nuclear Plant Siting and Design Option1 2/ Brian A and economic options for the analysis of nuclear plant siting possibilities (Burnham 1974; Jones, April 1975 of nuclear plant siting options for the AEC. BNWL's multi-disciplinary impact evaluation pro- cedure required

  4. Duality and Derivative Pricing with Levy Jose Fajardo

    E-Print Network [OSTI]

    Mordecki, Ernesto

    (1996) obtain a closed form formula using the optional sam- pling theorem, assuming that stock prices.e. a stochastic process with independent and homogeneous increments, possible with discontinuous paths results for stochastic volatility models, and for diffusi

  5. Valuation of Information Technology Investments as Real Options

    E-Print Network [OSTI]

    Schwartz, Eduardo S.; Zozaya-Gorostiza, Carlos

    2000-01-01T23:59:59.000Z

    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. A structural risk-neutral model for pricing and hedging power derivatives

    E-Print Network [OSTI]

    Nicolas Langrené§ October 12, 2010 Abstract We develop a structural risk-neutral model for energy market makes such a market incomplete. We follow a local risk minimization approach to price and hedge energyA structural risk-neutral model for pricing and hedging power derivatives René Aïd Luciano Campi

  7. 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

  8. Wireless Network Capacity Management: A Real Options Approach

    E-Print Network [OSTI]

    Forsyth, Peter A.

    capacity, market price of risk, investment timing option 1 Introduction Wireless networks are now regarded

  9. Optimal Execution Under Jump Models For Uncertain Price Impact

    E-Print Network [OSTI]

    2012-08-13T23:59:59.000Z

    May 12, 2011 ... Indeed price impact of large trades have been considered as one of the ... Investment performance is substantially related to the execution cost...

  10. Optimal Execution Under Jump Models For Uncertain Price Impact

    E-Print Network [OSTI]

    Somayeh Moazeni

    2012-08-13T23:59:59.000Z

    Aug 13, 2012 ... A major source of the execution cost comes from price impacts of both the investor's own trades and other concurrent institutional trades.

  11. 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

    2005-01-01T23:59:59.000Z

    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

  12. 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 Lee1,3, Saeed Zolfaghari2 October 20, 2005 Abstract We consider an inventory model in which a supplier makes is ordered when the inventory hits zero, a discount offer is rejected if the inventory on hand is more than s

  13. Pricing Multicasting in More Practical Network Models Micah Adler Dan Rubenstein y

    E-Print Network [OSTI]

    Adler, Micah

    of pricing that can occur, we consider a pricing mechanism, called Marginal Cost, that has seen considerable locations within the network. We show that in this case, the Marginal Cost problem becomes NPPricing Multicasting in More Practical Network Models Micah Adler #3; Dan Rubenstein y April 27

  14. Hedging Milk with BFP Futures and Options

    E-Print Network [OSTI]

    Anderson, David P.; McCorkle, Dean; Schwart Jr., Robert B.; Jones, Rodney

    1999-06-23T23:59:59.000Z

    Basic Formula Price (BFP) milk futures and options can be used to hedge, or lock in, milk prices in order to manage milk price fluctuations. This publication offers information on futures contracts, basis, cash settlement and margin call. There also...

  15. 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 on Real Options (RO) and stochastic dynamic programming for the availability maximization of an offshore wind farm with prognostic capabilities. Alternative energy sources such as offshore wind turbines

  16. Milk Futures, Options and Basis

    E-Print Network [OSTI]

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

    2001-10-12T23:59:59.000Z

    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....

  17. 1 Introduction The hedonic housing price model is a powerful econometric tool for capturing

    E-Print Network [OSTI]

    Wei, Yehua Dennis

    1 Introduction The hedonic housing price model is a powerful econometric tool for capturing to the advancement in spatial statistics and spatial econometrics (eg Anselin, 1988; Cliff and Ord, 1981; Griffith

  18. A Comparison of Reduced-Form Permit Price Models and their Empirical Performances

    E-Print Network [OSTI]

    Taschini, Luca

    Equilibrium models have been proposed in literature with the aim of describing the evolution of the price of emission permits. This paper derives _rst estimation methods for the calibration of three competing equilibrium ...

  19. Pricing and Proposal Model for the SNOW Automobile

    E-Print Network [OSTI]

    Henry, Shawn P.

    2012-07-27T23:59:59.000Z

    jobs awarded to ensure competitiveness. Ideas on marketing are addressed such as providing a yearly maintenance plan option, creating atmosphere automobile brochures specific to different regions of the world, and proactively meeting with engineers...

  20. 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

    2011-01-01T23:59:59.000Z

    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...

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

    E-Print Network [OSTI]

    Sandiford, Mike

    Retrospective modeling of the merit-order effect on wholesale electricity prices from distributed, the depression in wholesale prices has significant value. c 5 GW of solar generation would have saved $1.8 billion in the market over two years. c The depression of wholesale prices offsets the cost of support

  2. Forecasting the conditional volatility of oil spot and futures prices with structural breaks and long memory models

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    Forecasting the conditional volatility of oil spot and futures prices with structural breaks of oil spot and futures prices using three GARCH-type models, i.e., linear GARCH, GARCH with structural that oil price fluctuations influence economic activity and financial sector (e.g., Jones and Kaul, 1996

  3. Dynamic Conic Finance: Pricing and Hedging in Market Models with Transaction Costs via Dynamic Coherent Acceptability Indices

    E-Print Network [OSTI]

    Bielecki, Tomasz R; Iyigunler, Ismail; Rodriguez, Rodrigo

    2012-01-01T23:59:59.000Z

    In this paper we present a theoretical framework for determining dynamic ask and bid prices of derivatives using the theory of dynamic coherent acceptability indices in discrete time. We prove a version of the First Fundamental Theorem of Asset Pricing using the dynamic coherent risk measures. We introduce the dynamic ask and bid prices of a derivative contract in markets with transaction costs. Based on these results, we derive a representation theorem for the dynamic bid and ask prices in terms of dynamically consistent sequence of sets of probability measures and risk-neutral measures. To illustrate our results, we compute the ask and bid prices of some path-dependent options using the dynamic Gain-Loss Ratio.

  4. 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)

    2013-02-15T23:59:59.000Z

    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.

  5. The d-Level Nested Logit Model: Assortment and Price Optimization Problems

    E-Print Network [OSTI]

    Topaloglu, Huseyin

    The d-Level Nested Logit Model: Assortment and Price Optimization Problems Guang Li Paat, 2013 @ 2:27pm Abstract We provide a new formulation of the d-level nested logit model using a tree the optimal assort- ment. For a d-level nested logit model with n products, the running time of the algorithm

  6. A Probabilistic Graphical Approach to Computing Electricity Price Duration Curves under Price and

    E-Print Network [OSTI]

    Oren, Shmuel S.

    marginal price or an option contract on energy at a given strike price will be "in the money", i to price energy call options and generation capacity and to evaluate the inframarginal profit whether the plant will be able, on average, to recover its amortized fixed cost. The pricing of energy

  7. EMPLOYEE STOCK OPTIONS INCENTIVE EFFECTS: A CPT-BASED MODEL Hamza BAHAJI, DRM Finance,Universit de Paris Dauphine, France

    E-Print Network [OSTI]

    Boyer, Edmond

    employee behaviour in terms of risk taking. Most of the theoretical literature on stock options relies to predict stock options as part of the compensation contract. Several quantitative studies taking placeEMPLOYEE STOCK OPTIONS INCENTIVE EFFECTS: A CPT-BASED MODEL Hamza BAHAJI, DRM Finance,Université de

  8. 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

    2012-01-01T23:59:59.000Z

    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.

  9. Smart grid-demand side response model to mitigate prices and peak impact on the electrical system.

    E-Print Network [OSTI]

    Marwan, Marwan

    2013-01-01T23:59:59.000Z

    ??The aims of this project is to develop demand side response model which assists electricity consumers who are exposed to the market price through aggregator (more)

  10. Demand Response-Enabled Model Predictive HVAC Load Control in Buildings using Real-Time Electricity Pricing.

    E-Print Network [OSTI]

    Avci, Mesut

    2013-01-01T23:59:59.000Z

    ??A practical cost and energy efficient model predictive control (MPC) strategy is proposed for HVAC load control under dynamic real-time electricity pricing. The MPC strategy (more)

  11. Risk-Neutral Models for Emission Allowance Prices and Option Valuation

    E-Print Network [OSTI]

    Carmona, Rene

    liquidity of trading on futures contracts on CO2 emissions allowances, led naturally to the next step. For this reason, market-based mechanisms for emission reduction are supposed to yield pollution control of CO2 equivalent, the short end of the curve being clearly the most actively traded. In this work, we

  12. H2A Hydrogen Delivery Infrastructure Analysis Models and Conventional Pathway Options Analysis Results

    E-Print Network [OSTI]

    H2A Hydrogen Delivery Infrastructure Analysis Models and Conventional Pathway Options Analysis ...........................................................................2-1 H2A Hydrogen Delivery Models 2.1.5.2 ......................................................................2-10 Refueling Station Compressor 2.1.5.3 ............................2-11 Refueling Station Liquid

  13. Financing Options

    Broader source: Energy.gov [DOE]

    A growing variety of options are available for financing an LED street lighting replacement program. One or another approach may be preferable based on the system ownership and maintenance model in...

  14. Modeling of CO2 Reduction Impacts on Energy Prices with Modelica Philip Machanick1

    E-Print Network [OSTI]

    Machanick, Philip

    Modeling of CO2 Reduction Impacts on Energy Prices with Modelica Philip Machanick1 , Ariel Liebman1 and benefits, which may be better addressed by earlier interven- tion. In this paper we present a Modelica at the ap- propriate rate. In this paper we present a Modelica model which explores the trade

  15. Prices and Price Setting.

    E-Print Network [OSTI]

    R.P. Faber (Riemer)

    2010-01-01T23:59:59.000Z

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

  16. Using Options to Hedge Farm and Ranch Inputs

    E-Print Network [OSTI]

    Anderson, David P.; McCorkle, Dean; Schwart Jr., Robert B.; O'Brien, Daniel

    1999-09-29T23:59:59.000Z

    A call option is a pricing tool that helps producers manage the price risks associated with farm and ranch inputs. This publication offers a thorough explanation of the way call options work. It includes various strategies producers might use...

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

    E-Print Network [OSTI]

    Sitgraves, Claudia Ayanna

    2009-01-01T23:59:59.000Z

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

  18. ECONOMIC MODELING OF RE-LICENSING AND DECOMMISSIONING OPTIONS FOR THE

    E-Print Network [OSTI]

    ECONOMIC MODELING OF RE-LICENSING AND DECOMMISSIONING OPTIONS FOR THE KLAMATH BASIN HYDROELECTRIC, and steelhead trout on the West Coast of the United States. PacifiCorp's 169-megawatt Klamath Hydroelectric Hydroelectric Project is the only thorough, objective and transparent assessment tool that analyzes the cost

  19. A Fourier-based Valuation Method for Bermudan and Barrier Options under Heston's Model

    E-Print Network [OSTI]

    Oosterlee, Cornelis W. "Kees"

    A Fourier-based Valuation Method for Bermudan and Barrier Options under Heston's Model Fang Fang dependency. Monte Carlo simulation methods are often used for the valuation of such products in practice and Cornelis W. Oosterlee May 4, 2010 Abstract We develop an efficient Fourier-based numerical method

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

    SciTech Connect (OSTI)

    Sener, Adil Caner; Kimball, Stefan

    2007-12-15T23:59:59.000Z

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

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

    Reports and Publications (EIA)

    2003-01-01T23:59:59.000Z

    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.

  2. 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, Ludwigstra?e 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

  3. 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 attention to the most idiosyncratic of all: electricity mar- kets. Following a discussion of traded. In doing so, we present a detailed analysis of the structural approach for electricity, arguing for its

  4. issue of network pricing. We collected data to empir ically model the workload. The data shows temporal

    E-Print Network [OSTI]

    Keshav, Srinivasan

    temporal locality of reference in all traces. LRU based hold­ ing time policies use this temporal localityissue of network pricing. We collected data to empir­ ically model the workload. The data shows at Matsushita Labs, who suggested the relevance of pricing in studying holding times, and made several useful

  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]

    Pennycook, Steve

    , "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. A Non Parametric Model for the Forecasting of the Venezuelan Oil Prices

    E-Print Network [OSTI]

    Costanzo, Sabatino; Dehne, Wafaa; Prato, Hender

    2007-01-01T23:59:59.000Z

    A neural net model for forecasting the prices of Venezuelan crude oil is proposed. The inputs of the neural net are selected by reference to a dynamic system model of oil prices by Mashayekhi (1995, 2001) and its performance is evaluated using two criteria: the Excess Profitability test by Anatoliev and Gerko (2005) and the characteristics of the equity curve generated by a trading strategy based on the neural net predictions. ----- Se introduce aqui un modelo no parametrico para pronosticar los precios del petroleo Venezolano cuyos insumos son seleccionados en base a un sistema dinamico que explica los precios en terminos de dichos insumos. Se describe el proceso de recoleccion y pre-procesamiento de datos y la corrida de la red y se evaluan sus pronosticos a traves de un test estadistico de predictibilidad y de las caracteristicas del Equity Curve inducido por la estrategia de compraventa bursatil generada por dichos pronosticos.

  7. Operation of Distributed Generation Under Stochastic Prices

    SciTech Connect (OSTI)

    Siddiqui, Afzal S.; Marnay, Chris

    2005-11-30T23:59:59.000Z

    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.

  8. OVERVIEW OF CONTRACTING OPTIONS

    E-Print Network [OSTI]

    Waliser, Duane E.

    OVERVIEW OF CONTRACTING OPTIONS Presented by Bill McNally July 24, 2012 #12;National Aeronautics and Space Administration Selecting the Right Contract Type · Objective ­ Negotiate a contract type and price a Contract Type · What are your acquisition's objectives? ­ New program? ­ Existing program? (Historical

  9. Econometric Modelling of World Oil Supplies: Terminal Price and the Time to Depletion

    E-Print Network [OSTI]

    Mohaddes, Kamiar

    2012-03-02T23:59:59.000Z

    This paper develops a novel approach by which to identify the price of oil at the time of depletion; the so-called terminal price of oil. It is shown that while the terminal price is independent of both GDP growth and the price elasticity of energy...

  10. 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

  11. Valuation of exotic options in the framework of Levy processes

    SciTech Connect (OSTI)

    Milev, Mariyan, E-mail: marianmilev2002@gmail.com; Georgieva, Svetla, E-mail: marianmilev2002@gmail.com; Markovska, Veneta, E-mail: marianmilev2002@gmail.com [Department of Mathematics and Physics, UFT-Plovdiv, bul. Maritza 26, 4002 Plovdiv (Bulgaria)

    2013-12-18T23:59:59.000Z

    In this paper we explore a straightforward procedure to price derivatives by using the Monte Carlo approach when the underlying process is a jump-diffusion. We have compared the Black-Scholes model with one of its extensions that is the Merton model. The latter model is better in capturing the markets phenomena and is comparative to stochastic volatility models in terms of pricing accuracy. We have presented simulations of asset paths and pricing of barrier options for both Geometric Brownian motion and exponential Levy processes as it is the concrete case of the Merton model. A desired level of accuracy is obtained with simple computer operations in MATLAB for efficient computational time.

  12. Finite Mixture of ARMA-GARCH Model for Stock Price Prediction Him Tang, Kai-Chun Chiu and Lei Xu

    E-Print Network [OSTI]

    Xu, Lei

    Finite Mixture of ARMA-GARCH Model for Stock Price Prediction Him Tang, Kai-Chun Chiu and Lei Xu mixture of autore- gressive generalized autoregressive conditional het- eroscedasticity (AR-GARCH) models to extend the mixture of AR-GARCH model (W.C. Wong, F. Yip and L. Xu, 1998) to the mixture of ARMA- GARCH

  13. Electricity Real Options Valuation

    E-Print Network [OSTI]

    Ewa Broszkiewicz-Suwaj

    2006-08-16T23:59:59.000Z

    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.

  14. Electricity Real Options Valuation

    E-Print Network [OSTI]

    Broszkiewicz-Suwaj, E

    2006-01-01T23:59:59.000Z

    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.

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

    E-Print Network [OSTI]

    Pedram, Massoud

    - Systems {shatami,pedram}@usc.edu Abstract--Dynamic energy pricing is a promising development use at different times during a fixed interval based on dynamic energy prices during that interval-interruptible or interruptible jobs. The methods relay on a quasi-dynamic pricing function for unit of energy consumed, which

  16. Proceeding of the Hawaii International System Science Conference, January 1999 Combining Financial Double Call Options with Real Options for Early Curtailment of

    E-Print Network [OSTI]

    Oren, Shmuel S.

    Double Call Options with Real Options for Early Curtailment of Electricity Service Shmuel S. Oren that provides a hedge against price risk and reflects the "real options" available to the customer. This paper flexibility by responding to the price signal and exercise its "real option" to reduce consumption when

  17. Price and Non-Price Influences on Water Conservation: An Econometric Model of Aggregate Demand under Nonlinear Budget Constraint

    E-Print Network [OSTI]

    Corral, Leonardo; Fisher, Anthony C.; Hatch, Nile W.

    1999-01-01T23:59:59.000Z

    declining-block tarrifs: An econometric study using micro-ON WATER CONSERVATION: ECONOMETRIC AN MODEL OF AGGREGATEWater Conservation: An Econometric Model of Aggregate Demand

  18. Genetic algorithm evolved agent-based equity trading using Technical Analysis and the Capital Asset Pricing Model

    E-Print Network [OSTI]

    Aickelin, Uwe

    Genetic algorithm evolved agent-based equity trading using Technical Analysis and the Capital Asset data using technical analysis, the capital asset pricing model and a hybrid model of the two approaches. Results indicated that the technical analysis based approach performed better than the capital asset

  19. 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

    www.electricitypolicy.org.uk E P R G W O R K IN G P A P E R N O N -T E C H N IC A L S U M M A R Y The Effect of Energy Prices on Operation and Investment in OECD Countries: Evidence from the Vintage Capital Model EPRG Working Paper... 0922 Cambridge Working Paper in Economics 0933 Jevgenijs Steinbuks, Andreia Meshreky, and Karsten Neuhoff Empirical analysis of the effect of energy prices on energy use has been so far limited by the ability of econometric models to reflect...

  20. 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

    2011-08-15T23:59:59.000Z

    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.

  1. Multi-factor jump-diffusion models of electricity Thilo MEYER-BRANDIS

    E-Print Network [OSTI]

    features of electricity prices with a particular attention to the European energy ex- changes and develop a statistical procedure for estimat- ing the sum-OU model from data. Key Words: electricity prices is therefore necessary for energy risk management, pricing of electricity-related options and evaluation

  2. A spectral transform dynamical core option within the Community Atmosphere Model (CAM4)

    SciTech Connect (OSTI)

    Evans, Katherine J [ORNL; Mahajan, Salil [ORNL; Branstetter, Marcia L [ORNL; McClean, Julie L. [Scripps Institute of Oceanography; Caron, Julie M. [National Center for Atmospheric Research (NCAR); Maltrud, Matthew E. [Los Alamos National Laboratory (LANL); Hack, James J [ORNL; Bader, David C [ORNL; Neale, Rich [National Center for Atmospheric Research (NCAR)

    2014-01-01T23:59:59.000Z

    A spectral transform dynamical core with an 85 spectral truncation resolution (T85) within the Community Atmosphere Model (CAM), version 4, is evaluated within the recently released Community Earth System Model, version 1.0 (CESM) global climate model. The spectral dynamical core option provides a well-known base within the climate model community from which to assess climate behavior and statistics, and its relative computational efficiency for smaller computing platforms allows it to be extended to perform climate length simulations using high-resolution configurations in the near term. To establish the characteristics of the CAM4 T85, an ensemble of simulations covering the present day observational period using forced sea surface temperatures and prescribed sea-ice extent are evaluated. Overall, the T85 ensemble attributes and biases are similar to a companion ensemble of simulations using the one degree finite volume (FV1) dynamical core, relative to observed and model derived datasets. Notable improvements with T85 compared to FV1 include the representation of wintertime Arctic sea level pressure and summer precipitation over the Western Indian subcontinent. The mean and spatial patterns of the land surface temperature trends over the AMIP period are generally well simulated with the T85 ensemble relative to observations, however the model is not able to capture the extent nor magnitude of changes in temperature extremes over the boreal summer, where the changes are most dramatic. Biases in the wintertime Arctic surface temperature and annual mean surface stress fields persist with T85 as with the CAM3 version of T85.

  3. Incorporating Operational Characteristics and Startup Costs in Option-Based Valuation of

    E-Print Network [OSTI]

    Oren, Shmuel S.

    Incorporating Operational Characteristics and Startup Costs in Option-Based Valuation of Power characteristics on valuation of generation assets under different modeling assumptions about the energy commodity prices. We find that the impacts of operational constraints on real asset valuation are dependent upon

  4. Combining Financial Double Call Options with Real Options for Early Curtailment of Electricity Service

    E-Print Network [OSTI]

    Combining Financial Double Call Options with Real Options for Early Curtailment of Electricity@IEOR.Berkeley.edu Abstract In a competitive electricity market traditional demand side management options offering customers curtailable service at reduced rates are replaced by voluntary customer responses to electricity spot prices

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

    E-Print Network [OSTI]

    Liviu-Adrian Cotfas

    2012-09-05T23:59:59.000Z

    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.

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

    E-Print Network [OSTI]

    Becerril Arreola, Rafael

    2013-01-01T23:59:59.000Z

    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. Modeling and Experimental Tests on the Hydraulically Driven Control Rod option for IRIS Reactor

    SciTech Connect (OSTI)

    Cammi, Antonio; Ricotti, Marco E.; Vitulo, Alessia [Department of Nuclear Engineering, Politecnico di Milano, Via Ponzio, 34/3, 20133 Milano (Italy)

    2004-07-01T23:59:59.000Z

    The adoption of Internal Control Rod Drive Mechanisms (ICRDMs) represents a valuable alternative to classical, external CRDMs based on electro-magnetic devices, as adopted in current PWRs. The advantages on the safety features of the reactor are apparent: inherent elimination of the Rod Ejection accidents and of possible concerns about the vessel head penetrations. A further positive feedback on the design is the reduction of the primary system overall dimensions. Within the frame of the ICRDM concepts, the Hydraulically Driven Control Rod solution is investigated as a possible option for the IRIS integral reactor. After a brief comparison of the solutions currently proposed for integral reactors, the configuration of the Hydraulic Control Rod device for IRIS, made up by an external movable piston and an internal fixed cylinder, is described. A description of the whole control system is reported as well. Particular attention is devoted to the Control Rod profile characterization, performed by means of a Computational Fluid Dynamics (CFD) analysis. The investigation of the system behavior has been carried out, including the dynamic equilibrium and its stability properties, the withdrawal and insertion step movement and the sensitivity study on command time periods. A suitable dynamic model has been set up for the mentioned purposes: the models corresponding to the various Control Rod system devices have been written in an Object-Oriented language (Modelica), thus allowing an easy implementation of such a system into the simulator for the whole reactor. Finally, a preliminary low pressure, low temperature, reduced length experimental facility has been built. Tests on HDCR stability and operational transients have been performed. The results are compared with the dynamic system model and CFD simulation model, showing good agreement between simulations and experimental data. During these preliminary tests, the control system performed correctly, allowing stable dynamic equilibrium positions for the Control Rod and stable behavior during withdrawal and insertion steps. (authors)

  8. Essays on Price Dynamics

    E-Print Network [OSTI]

    Hong, Gee Hee

    2012-01-01T23:59:59.000Z

    2.3 Wholesale Price vs. Retailof Adjustment - Regular Price, Sales Price and Wholesaleand Vertical Structure -Wholesale price (Weeks)100 Price

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

    E-Print Network [OSTI]

    Oren, Shmuel S.

    earnings in many industries. [Dutton, 2002] es- timates that one third of private industry activities, the wholesale electricity price in the US Midwest rose to $7000/MWh, causing the default of two East Coast electricity companies. At that time the normal price range was around $30 $60. In Texas during a three

  10. JOURNAL OF INFORMATION SCIENCE AND ENGINEERING 28, 689-704 (2012) The Complexity of GARCH Option Pricing Models

    E-Print Network [OSTI]

    Lyuu, Yuh-Dauh

    2012-01-01T23:59:59.000Z

    JOURNAL OF INFORMATION SCIENCE AND ENGINEERING 28, 689-704 (2012) 689 The Complexity of GARCH computational over- head. In fact, raising n makes the popular Ritchken-Trevor tree under non-linear GARCH that LGARCH, AGARCH, GJR-GARCH, TS-GARCH and TGARCH share the same properties as NGARCH. The theoretical

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

    E-Print Network [OSTI]

    Hengels, Adam (Adam P.)

    2005-01-01T23:59:59.000Z

    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 ...

  12. 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

    2005-01-01T23:59:59.000Z

    Real option and dynamic asset valuation techniques are becoming established as standard methods for evaluating investment decisions that are subject to quantifiable uncertainty. This has been particularly the case in natural ...

  13. Milk Pricing

    E-Print Network [OSTI]

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

    2001-09-10T23:59:59.000Z

    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....

  14. Cheese Prices

    E-Print Network [OSTI]

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

    2003-08-25T23:59:59.000Z

    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...

  15. Regular price

    E-Print Network [OSTI]

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

  16. The Resilience of the Indian Economy to Rising Oil Prices as a Validation Test for a Global Energy-Environment-Economy CGE Model

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    as on how short-term mechanisms ­ and policy action ­ can smooth the negative impacts of energy price shocks1 The Resilience of the Indian Economy to Rising Oil Prices as a Validation Test for a Global Energy-Environment-Economy CGE Model Céline Guivarcha, * , Stéphane Hallegattea,b , Renaud Crassousa

  17. Class Pricing

    E-Print Network [OSTI]

    Wernerfelt, Birger

    2008-01-15T23:59:59.000Z

    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 ...

  18. Modelling the convenience yield in carbon prices using daily and realized measures

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    for carbon spot and futures prices, which are exchanged since 2005 on the European Union Emissions Trading Scheme (EU ETS). The EU emissions trading system has been created by the Directive 2003/87/CE. Across 27

  19. Microdata analysis of price setting behaviour and macrodata analysis of heterogeneous DSGE models .

    E-Print Network [OSTI]

    Zhou, Peng

    2012-01-01T23:59:59.000Z

    ??This thesis investigates nominal frictions in price setting behaviour from both microe-conometric and macroeconometric perspectives. Chapter I and II use the unpublished retailer-level and producer-level (more)

  20. 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

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

    E-Print Network [OSTI]

    Fariyibi, Festus Lekan

    2006-10-30T23:59:59.000Z

    (EIA),16 the price of West Texas Intermediate (WTI) crude oil is projected to average $68 per barrel in both 2006 and 2007. 2.2 Uncertainty in Petroleum Project Evaluations The literature indicates an informal distinction between ?risk...

  2. Electric retail market options: The customer perspective

    SciTech Connect (OSTI)

    Hadley, S.W.; Hillsman, E.L.

    1995-07-01T23:59:59.000Z

    This report describes various options that are now available for retail electric customers, or that may become available during the next few years as the electric utility industry restructures. These options include different ways of meeting demand for energy services, different providers of service or points of contact with providers, and different pricing structures for purchased services. Purpose of this document is to examine these options from the customer`s perspective: how might being a retail electric customer in 5--10 years differ from now? Seizing opportunities to reduce cost of electric service is likely to entail working with different service providers; thus, transaction costs are involved. Some of the options considered are speculative. Some transitional options include relocation, customer-built/operated transmission lines, municipalization, self-generation, and long-term contracts with suppliers. All these may change or diminish in a restructured industry. Brokers seem likely to become more common unless restructuring takes the form of mandatory poolcos (wholesale). Some options appear robust, ie, they are likely to become more common regardless of how restructuring is accomplished: increased competition among energy carriers (gas vs electric), real-time pricing, etc. This report identified some of the qualitative differences among the various options. For customers using large amounts of electricity, different alternatives are likely to affect greatly service price, transaction costs, tailoring service to customer preferences, and risks for customer. For retail customers using small amounts of electricity, there may be little difference among the options except service price.

  3. 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

    2003-08-13T23:59:59.000Z

    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.

  4. A Closed-Form Model for Valuing Real Options Using Managerial Cash-Flow Estimates- Draft Abstract for ROC2013 ?

    E-Print Network [OSTI]

    Yuri Lawryshyn

    In this work, we build on a previous real options approach that utilizes managerial cash-flow estimates to value early stage project investments. Through a simplifying assumption, where we assume that the managerial cash-flow estimates are normally distributed, we derive a closedform solution to the real option problem. The model is developed through the introduction of a market sector indicator, which is assumed to be correlated to a tradeable market index, which drives the projects sales estimates. Another indicator, assumed partially correlated to the sales indicator drives the gross margin percent estimates. In this way we can model a cash-flow process that is partially correlated to a traded market index. This provides the mechanism for valuing real options of the cash-flow in a financially consistent manner under the risk-neutral minimum martingale measure. The method requires minimal subjective input of model parameters and is very easy to implement. We also investigate the sensitivity of the normal distribution assumption by comparing the approach developed here to our previous approach.

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

    E-Print Network [OSTI]

    - Resource use Environmental Emissions - Air, water, land Plant & Process Costs - Capital - O&M - COE #12;E · Subcritical · Supercritical · Ultra-supercritical Furnace Firing Types · Tangential · Wall · Cyclone Furnace: - Water gas shift + CO2 capture (pre-combustion) · CO2 Transport Options Pipelines (six U.S. regions

  6. Exit Options and Dividend Policy under Liquidity Constraints

    E-Print Network [OSTI]

    Murto, Pauli; Tervi, Marko

    2009-01-01T23:59:59.000Z

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

  7. Essays on Price Dynamics

    E-Print Network [OSTI]

    Hong, Gee Hee

    2012-01-01T23:59:59.000Z

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

  8. Joint pricing and inventory control under reference price effects.

    E-Print Network [OSTI]

    Gimpl-Heersink, Lisa

    2008-01-01T23:59:59.000Z

    ??In many firms the pricing and inventory control functions are separated. However, a number of theoretical models suggest a joint determination of inventory levels and (more)

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

    E-Print Network [OSTI]

    Bhowmick, Sandeep

    2010-01-01T23:59:59.000Z

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

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

    E-Print Network [OSTI]

    van der Meyden, Ron

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

  11. Discrete choice models of traveler participation in differential time of day pricing programs

    E-Print Network [OSTI]

    Burris, Mark W.

    variable pricing experiments, there is little empirical data on potential traveler response and traf Tolls that vary based on time of day or congestion are gaining attention around the world as a potential travel demand management strategy that can shift peak period travel to off peak periods thereby

  12. What's the Option?

    E-Print Network [OSTI]

    Traeger, Christian

    2013-01-01T23:59:59.000Z

    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

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

    E-Print Network [OSTI]

    Jun, Mina

    2007-01-01T23:59:59.000Z

    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 ...

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

    E-Print Network [OSTI]

    Forsyth, Peter A.

    . Finally, companies are often more interested in the average price of oil or foreign exchange rate, than companies are certainly more interested in buying oil based on its average price instead of its spot price to price continuously observed fixed strike Asian options. At each timestep a set of one dimensional

  15. A SEMI-LAGRANGIAN APPROACH FOR AMERICAN ASIAN OPTIONS UNDER JUMP DIFFUSION

    E-Print Network [OSTI]

    Labahn, George

    oil based on its average price instead of its spot price. For a historical review of Asian options we.A. FORSYTH, AND G. LABAHN§ Abstract. A semi-Lagrangian method is presented to price continuously observed a payoff that depends on the average price of the underlying asset over a speci£ed period of time (12

  16. A systems model and potential leverage points for base load electric generating options

    SciTech Connect (OSTI)

    Brownson, D.A.; Hanson, D.J.; Price, L.G.; Sebo, D.E.

    1993-09-01T23:59:59.000Z

    The mission and structure of electric utilities may change significantly to meet the challenges on the next several decades. In addition, providing electrical energy in an environmentally responsible manner will continue to be a major challenge. The methods of supplying electrical power may change dramatically in the future as utilities search for ways to improve the availability and reliability of electrical power systems. The role of large, base load generating capacity to supply the bulk of a utility`s electrical power is evolving, but it will continue to be important for many years to come. The objective of this study is to examine the systems structure of five base load capacity options available to a utility and identify areas where technological improvements could produce significant changes in their systems. These improvements would enhance the likelihood that these options would be selected for providing future electrical capacity. Technology improvements are identified and discussed, but it was beyond the scope of this work to develop strategies for specific Idaho National Engineering Laboratory involvement.

  17. OPTIMAL EXERCISE POLICIES AND SIMULATION-BASED VALUATION FOR AMERICAN-ASIAN OPTIONS

    E-Print Network [OSTI]

    Fu, Michael

    OPTIMAL EXERCISE POLICIES AND SIMULATION-BASED VALUATION FOR AMERICAN-ASIAN OPTIONS RONGWEN WU-based method that exploits the established structural properties to efficiently price such options. Sections 2

  18. American and Bermudan options in currency markets under proportional transaction costs

    E-Print Network [OSTI]

    Roux, Alet

    2011-01-01T23:59:59.000Z

    The pricing and hedging of a general class of options (including American, Bermudan and European options) on multiple assets are studied in the context of currency markets where trading in all assets is subject to proportional transaction costs, and where the existence of a riskfree numeraire is not assumed. Probabilistic dual representations are obtained for the bid and ask prices of such options, together with constructions of hedging strategies, optimal stopping times and approximate martingale representations for both long and short option positions.

  19. Spot pricing of public utility services

    E-Print Network [OSTI]

    Bohn, Roger E.

    1982-01-01T23:59:59.000Z

    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 ...

  20. Essays on Pricing Behaviors of Energy Commodities

    E-Print Network [OSTI]

    Qin, Xiaoyan

    2012-07-16T23:59:59.000Z

    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...

  1. Credit Price Optimisation within Retail Banking

    E-Print Network [OSTI]

    2013-10-25T23:59:59.000Z

    to a more flexible demand-based pricing strategy, see Skugge (2011). ... Ferguson (2007) bid-response models are presented for customised .... problem, the fundamental building blocks of the credit price optimisation problem is set out below.

  2. Financing Non-Residential Photovoltaic Projects: Options and Implications

    E-Print Network [OSTI]

    Bolinger, Mark

    2009-01-01T23:59:59.000Z

    option embedded in a solar PPA or lease be priced no lowerit harder to sell solar PPAs or leases. 2) Credit Quality:post-flip). A lease enables the solar PPA provider to, in

  3. 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

    2009-01-01T23:59:59.000Z

    with Engineering and Econometric Models Megan Smirti RyersonCosts with Engineering and Econometric Models Megan Smirtiforces. To this end, an econometric operating cost model (

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

    E-Print Network [OSTI]

    Miller, Bruno

    2004-01-01T23:59:59.000Z

    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

  5. Understanding Crude Oil Prices

    E-Print Network [OSTI]

    Hamilton, James Douglas

    2008-01-01T23:59:59.000Z

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

  6. Understanding Crude Oil Prices

    E-Print Network [OSTI]

    Hamilton, James Douglas

    2008-01-01T23:59:59.000Z

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

  7. Simulating the daily gasoline price-setting behaviour of gas stations in Cincinnati by agent-based modeling.

    E-Print Network [OSTI]

    Zhou, Li

    2009-01-01T23:59:59.000Z

    ??In the retail gasoline market, gas stations as independent entities set gas prices according to a number of factors related to global and local economic (more)

  8. Price war with migrating customers Patrick Maille

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    Price war with migrating customers Patrick Maill´e TELECOM Bretagne 2, rue de la Ch^ataigneraie CS customers churn between providers due to better prices, better reputation or better services. We propose in this paper to study the price war between two providers in the case where users' decisions are modeled

  9. Multicriteria Spatial Price Networks: Statics and Dynamics

    E-Print Network [OSTI]

    Nagurney, Anna

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

  10. Pricing Derivatives on Two-dimensional Levy Jose Fajardo

    E-Print Network [OSTI]

    Mordecki, Ernesto

    using the optional sam- pling theorem, assuming that stock prices are driven by geometric Brownian on a stochastic basis B = (, F, {F}t0, P). This means that X is a stochastically continuous stochastic process

  11. 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

    2001-02-01T23:59:59.000Z

    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.

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

    SciTech Connect (OSTI)

    Weitzel, E.; Hoeschele, M.

    2014-09-01T23:59:59.000Z

    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.

  13. Swing Options Valuation: a BSDE with Constrained Jumps Approach

    E-Print Network [OSTI]

    Swing Options Valuation: a BSDE with Constrained Jumps Approach Marie Bernhart Huy^en Pham Peter Tankov Xavier Warin January 7, 2011 Abstract We introduce a new probabilistic method for solving a class (BSDEs for short) with constrained jumps. As an example, our method is used for pricing Swing options. We

  14. 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

  15. 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.

    2011-11-01T23:59:59.000Z

    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.

  16. 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.

    2002-02-21T23:59:59.000Z

    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.

  17. 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.

    2010-12-01T23:59:59.000Z

    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.

  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 evidence that automobile manufacturers set vehicle prices as if consumers respond to gasoline prices. We consumer preferences for fuel efficiency. Keywords: automobile prices, gasoline prices, environmental

  19. 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

  20. Agricultural commodity price forecasting accuracy: futures markets versus commercial econometric models

    E-Print Network [OSTI]

    Rausser, Gordon C.; Just, Richard E.

    1979-01-01T23:59:59.000Z

    versus commercial econometric models Gordon C. RausserMARKETS VERSUS COM4ERCIAL ECONOMETRIC IDDELS by Gordon C.Futures Markets, snd Econometric Models Deeember, 19'7'6,

  1. Model uncertainty and its impact on the pricing of derivative instruments.

    E-Print Network [OSTI]

    was done in the framework of a research project on model uncertainty at HSBC-CCF, Division of Market

  2. Tool to Compare Solar Energy Program Financing Options | Department...

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

    Information Resources Tool to Compare Solar Energy Program Financing Options Tool to Compare Solar Energy Program Financing Options This model is intended to be used for...

  3. Renewable Power Options for Electricity Generation on Kaua'i...

    Office of Environmental Management (EM)

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

  4. Fuel option for gas turbine

    SciTech Connect (OSTI)

    Tantayakom, S. [Electricity Generating Authority of Thailand, Nonthaburi (Thailand). Chemical and Analysis Dept.

    1995-12-31T23:59:59.000Z

    Growth in electricity demand is an average of 10% per year. Energy, emission, and economy are importance of critical concerns for generating systems. Therefore, combined cycle power plant is preferred to Electricity Generating Authority of Thailand (EGAT) new power generating capacity. The various option of available fuel for gas turbine are natural gas, liquid fuel and coal fuel. Particularly with the tremendous price increases in imported and domestic fuel supplies, natural gas is an attractive low cost alternative for power generation. EGAT has researched using heavy fuel instead of natural gas since the year 1991. The problems of various corrosion characteristics have been found. In addition, fuel treatment for gas turbine are needed, and along with it, the environmental consideration are options that provide the limitation of environmental regulation.

  5. Use of the Cournot Model for the pricing of Grid-based Computational Services

    E-Print Network [OSTI]

    Melbourne, University of

    . The concept is often associated with that of the Electrical Grid where electricity is readily available a similar level of ab- straction as the Electrical Grid. One of the areas that require a considerable amount. The Cournot Model is one of the popular pric- ing models used to study oligopolies. An oligopoly is the name

  6. Customer Strategies for Responding to Day-Ahead Market HourlyElectricity Pricing

    SciTech Connect (OSTI)

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

    2005-08-25T23:59:59.000Z

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

  7. PRICE GOUGING | Department of Energy

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

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

  8. Price controls and international petroleum product prices

    SciTech Connect (OSTI)

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

    1980-02-01T23:59:59.000Z

    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.

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

    E-Print Network [OSTI]

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

    2005-01-01T23:59:59.000Z

    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

  10. The Importance of Model Selection on Housing Price Indexes: Comparisons of Temporal Aggregation and Sample Selectivity

    E-Print Network [OSTI]

    Englund, Peter; Quigley, John M.; Redfearn, Christian L.

    1997-01-01T23:59:59.000Z

    DC, OFHEO, 1997. Quigley, John M. , A Simple Hybrid Model419-438. Englund, Peter, John M. Quigley, and Christian L.University Sweden John M. Quigley University of California

  11. Single-Product Pricing via Robust Optimization

    E-Print Network [OSTI]

    2006-01-30T23:59:59.000Z

    manufacturing to fashion retail. Applying probabilistic ... In Section 2, we develop the robust pricing model in the presence of additive uncertainty. We analyze.

  12. Description of FLIPSIM V: a General Firm Level Policy Simulation Model.

    E-Print Network [OSTI]

    Richardson, James W.; Nixon, Clair J.

    1986-01-01T23:59:59.000Z

    ) determined by a OP which maximizes expected utility~ Expected net returns are ca1culated using a weighted average of past yields and prices, modified for relevant loan rates, target prices, expected disaster or crop insurance payments , and acreage set... in this section of the model are being planned. 5 The farm programs in the model are activated separately by options specified by the analyst. When the net loan rate (price support) for a crop is greater than its market price, the operator's share of the crop...

  13. Understanding Crude Oil Prices

    E-Print Network [OSTI]

    Hamilton, James Douglas

    2008-01-01T23:59:59.000Z

    2004. OPECs Optimal Crude Oil Price, Energy Policy 32(2),023 Understanding Crude Oil Prices James D. Hamilton Junedirectly. Understanding Crude Oil Prices* James D. Hamilton

  14. Durable Goods, Price Indexes, and Monetary Policy

    E-Print Network [OSTI]

    Han, Kyoung Soo

    2009-05-15T23:59:59.000Z

    The dissertation studies the relationship among durable goods, price indexes and monetary policy in two sticky-price models with durable goods. One is a one-sector model with only durable goods and the other is a two-sector model with durable...

  15. The Impact of Carbon Pricing on Wholesale Electricity Prices, Carbon Pass-Through Rates and Retail Electricity Tariffs in Australia.1

    E-Print Network [OSTI]

    Tesfatsion, Leigh

    1 The Impact of Carbon Pricing on Wholesale Electricity Prices, Carbon Pass-Through Rates that the introduction of a carbon price signal will have on wholesale electricity prices, carbon-pass-through rates is used to determine optimal dispatch of generation plant and wholesale prices within the ANEM model. We

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

    E-Print Network [OSTI]

    Lee, Hyoung Il

    2008-10-10T23:59:59.000Z

    consider the nonlinear nonstationary state-space model given by yt = radicalbig f(xt,?) ut, xt+1 = ?xt +vt+1,(2.1) where I make the following assumptions: Assumption 1: The volatility function is given by (2.2) f(xt,?) = + ?1+exp(??(x t ??)) , where ? = (.... Assumption 2: (xt) is a scalar latent volatility factor and |?| ? 1, I describe the volatility factor, (xt) explicitly in the transition equation because I am interested in the linkage between it and macro economic fundamentals. I assume that this volatility...

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

    E-Print Network [OSTI]

    Erkal, Nisvan; Scotchmer, Suzanne

    2009-01-01T23:59:59.000Z

    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

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

    E-Print Network [OSTI]

    Scotchmer, Suzanne; Erkal, Nisvan

    2009-01-01T23:59:59.000Z

    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

  19. Appliance Efficiency Standards and Price Discrimination

    SciTech Connect (OSTI)

    Spurlock, Cecily Anna

    2013-05-08T23:59:59.000Z

    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.

  20. 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.

    2011-09-30T23:59:59.000Z

    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

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

    SciTech Connect (OSTI)

    Wiser, Ryan; Bolinger, Mark

    2004-10-01T23:59:59.000Z

    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.

  2. Determinants of official OPEC crude prices

    SciTech Connect (OSTI)

    Verleger, P.K. Jr.

    1982-05-01T23:59:59.000Z

    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.

  3. Understanding Crude Oil Prices

    E-Print Network [OSTI]

    Hamilton, James Douglas

    2008-01-01T23:59:59.000Z

    consumption would be reduced and incentives for production increased whenever the price of crude oil

  4. 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 because oil, coal, and natural gas are potential fuels for electricity generation. Natural gas

  5. Oil Price Shocks: Causes and Consequences

    E-Print Network [OSTI]

    Lutz Kilian; Key Words

    Research on oil markets conducted during the last decade has challenged long-held beliefs about the causes and consequences of oil price shocks. As the empirical and theoretical models used by economists have evolved, so has our understanding of the determinants of oil price shocks and of the interaction between oil markets and the global economy. Some of the key insights are that the real price of oil is endogenous with respect to economic fundamentals, and that oil price shocks do not occur ceteris paribus. This makes it necessary to explicitly account for the demand and supply shocks underlying oil price shocks when studying their transmission to the domestic economy. Disentangling cause and effect in the relationship between oil prices and the economy requires structural models of the global economy including oil and other commodity markets.

  6. 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 ...

  7. Land-use transition for bioenergy and climate stabilization: model comparison of drivers, impacts and interactions with other land use based mitigation options

    SciTech Connect (OSTI)

    Popp, Alexander; Rose, Steven K.; Calvin, Katherine V.; Van Vuuren, Detlef; Dietrich, Jan P.; Wise, Marshall A.; Stehfest, Eike; Humpenoder, Florian; Kyle, G. Page; Van Vliet, Jasper; Bauer, Nico; Lotze-Campen, Hermann; Klein, David; Kriegler, Elmar

    2014-04-01T23:59:59.000Z

    This study is a model comparison assessing the drivers and impacts of bioenergy production on the global land system and the interaction with other land use based mitigation options in the context of the EMF 27 project. We compare and evaluate results from three integrated assessment models (GCAM, IMAGE, and ReMIND/MAgPIE). All three models project that dedicated bioenergy crops and biomass residues are a potentially important and cost-effective component of the energy system. But bioenergy deployment levels and feedstock composition vary notably across models as do the implications for land-use and greenhouse gas emissions and the interaction with other land use based mitigation measures. Despite numerous model differences, we identify a few that are likely contributing to differences in land-use and emissions attributable to energy crop deployment.

  8. 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 ...

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

    E-Print Network [OSTI]

    Herbelot, Olivier

    1994-01-01T23:59:59.000Z

    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. OPTIONS for ENERGY EFFICIENCY

    E-Print Network [OSTI]

    OPTIONS for ENERGY EFFICIENCY in EXISTING BUILDINGS December 2005 CEC-400-2005-039-CMF;OPTIONS FOR ENERGY EFFICIENCY in EXISTING BUILDINGS COMMISSION REPORT TABLE OF CONTENTS EXECUTIVE SUMMARY ............................................................................iii California's Successful Energy Efficiency Programs

  11. Pricing in Information-Centric Network Interconnection

    E-Print Network [OSTI]

    Paris-Sud XI, Universit de

    --ICN interconnection, economic incentives, col- laborative caching, non-cooperative games, network pricing. I economic incentives for caching and sharing content in ICN interconnection. For example, an ISP provider Engineering Department, ETH Zurich, Switzerland Abstract--We propose a pricing model to study the economic

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

    E-Print Network [OSTI]

    Noel, Michael

    2004-01-01T23:59:59.000Z

    Johnson. Gas Wars: Retail Gasoline Price Fluctua- tions,were collected on retail gasoline prices, wholesale (rack)ancillary information. Retail gasoline prices, RET AIL mt ,

  13. Natural Gas Purchasing Options

    E-Print Network [OSTI]

    Watkins, G.

    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...

  14. COORDINATING ON LOWER PRICES: PHARMACEUTICAL PRICING

    E-Print Network [OSTI]

    Sadoulet, Elisabeth

    of political activity on pharmaceutical prices, focusing on the health care reform period. We characterize health care reform discussions in 1993, large-scale efforts to curb drug prices were debated and seemed everywhere from the Catastrophic Health Insurance Bill to proposals for Medicare coverage of drugs. During

  15. The Minimum Price Contract

    E-Print Network [OSTI]

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

    2008-10-17T23:59:59.000Z

    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...

  16. Utility spot pricing study : Wisconsin

    E-Print Network [OSTI]

    Caramanis, Michael C.

    1982-01-01T23:59:59.000Z

    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 ...

  17. Grid Pricing of Fed Cattle

    E-Print Network [OSTI]

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

    2009-03-02T23:59:59.000Z

    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....

  18. TANK SPACE OPTIONS REPORT

    SciTech Connect (OSTI)

    WILLIS WL; AHRENDT MR

    2009-08-11T23:59:59.000Z

    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.

  19. CANNED FISH RETAIL PRICES

    E-Print Network [OSTI]

    RETAIL PRICES CONTENTS Page Tuna, Canned White Meat Tuna. (Albacore), Solid Pack, In Oil All BrandsCANNED 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

  20. CANNED FISH RETAIL PRICES

    E-Print Network [OSTI]

    PRICES CONTENTS Page Tuna, Canned White Meat Tuna (Albacore), Solid Pack, In Oil All Brands ExceptCANNED 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

  1. THE VALUATION OF CLEAN SPREAD OPTIONS: LINKING ELECTRICITY, EMISSIONS RENE CARMONA, MICHAEL COULON, AND DANIEL SCHWARZ

    E-Print Network [OSTI]

    Carmona, Rene

    on CO2 by the regulation should be included in the costs of production to set the price of electricity which can be run when it is profitable to do so (namely when the price of electricity is greater thanTHE VALUATION OF CLEAN SPREAD OPTIONS: LINKING ELECTRICITY, EMISSIONS AND FUELS REN´E CARMONA

  2. 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

  3. 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

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

    E-Print Network [OSTI]

    Borenstein, Severin

    2007-01-01T23:59:59.000Z

    Options in a Competitive Wholesale Electricity Market,cases to cover the full wholesale cost of the power. Fromusing three di?erent wholesale price scenarios. The ?rst is

  5. A Moment Approach to Pricing Exotic Options Under Regime ...

    E-Print Network [OSTI]

    2011-08-24T23:59:59.000Z

    remains a challenging topic in financial engineering, as modern markets more than ever are ...... A new approach to the economic analysis of nonstationary time

  6. 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 Office of InspectorConcentrating Solar Power Basics (TheEtelligence (Smart Grid Project)Company (Pennsylvania) Jump

  7. A conceptual model of the roles of price, quality, and intermediary constructs in determining behavioral intention to visit a festival

    E-Print Network [OSTI]

    Lee, So Yon

    2006-08-16T23:59:59.000Z

    Model 1???????.... 96 The Second Revised Structural Model 1??????? 99 The Final Revised Structural Model 1???????... 102 Initial Structural Model 2????????????... 106 The Revised Structural Model 2??????????. 109... The Initial Structural Model 2?...???????????... 105 FIGURE 12 The Revised Structural Model 2????????????... 108 FIGURE 13 Final Structural Model and Standardized Parameter Estimates of Model 1??????????????.?????.?.. 115 FIGURE 14 Final...

  8. Wholesale marginal prices in competitive generation markets

    SciTech Connect (OSTI)

    Perez-Arriaga, I.J. [National Electric Regulatory Commission, Madrid (Spain)] [National Electric Regulatory Commission, Madrid (Spain); Meseguer, C. [Univ. Pontificia Comillas, Madrid (Spain). Inst. de Investigacion Tecnologica] [Univ. Pontificia Comillas, Madrid (Spain). Inst. de Investigacion Tecnologica

    1997-05-01T23:59:59.000Z

    Wholesale marginal electricity prices are being used in several actual competitive generation markets worldwide, both to remunerate generators and to charge consumption. These prices must account not only for energy, but also for guarantee of supply in the long and the short term. This paper: (a) provides a sound conceptual and quantitative foundation for wholesale pricing based on generation services, where any existing restrictions in operation or planning in real power markets are accounted for, (b) clearly establishes the relationship between short term marginal costs, long term marginal costs and optimal wholesale electricity prices, and (c) identifies the reasons for mismatches in cost recovery with marginal generation prices. The theoretical results are verified with a detailed realistic power system model.

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

    E-Print Network [OSTI]

    Matthews, Adrian

    Oil 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 of oil-price shocks for the developed economies. However, there has been a lack of similar empirical

  10. Global Climate Change and the Transportation Sector: An Update on Issues and Mitigation Options

    SciTech Connect (OSTI)

    Geffen, CA; Dooley, JJ; Kim, SH

    2003-08-24T23:59:59.000Z

    It is clear from numerous energy/economic modeling exercises that addressing the challenges posed by global climate change will eventually require the active participation of all industrial sectors and all consumers on the planet. Yet, these and similar modeling exercises indicate that large stationary CO2 point sources (e.g., refineries and fossil-fired electric power plants) are often the first targets considered for serious CO2 emissions mitigation. Without participation of all sectors of the global economy, however, the challenges of climate change mitigation will not be met. Because of its operating characteristics, price structure, dependence on virtually one energy source (oil), enormous installed infrastructure, and limited technology alternatives, at least in the near-term, the transportation sector will likely represent a particularly difficult challenge for CO2 emissions mitigation. Our research shows that climate change induced price signals (i.e., putting a price on carbon that is emitted to the atmosphere) are in the near term insufficient to drive fundamental shifts in demand for energy services or to transform the way these services are provided in the transportation sector. We believe that a technological revolution will be necessary to accomplish the significant reduction of greenhouse gas emissions from the transportation sector. This paper presents an update of ongoing research into a variety of technological options that exist for decarbonizing the transportation sector and the various tradeoffs among them.

  11. 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.

    2005-01-01T23:59:59.000Z

    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

  12. Retrospective Evaluation of Appliance Price Trends

    E-Print Network [OSTI]

    Dale, Larry

    2010-01-01T23:59:59.000Z

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

  13. Crude Oil Prices

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

    the acquisition date. See the Explanatory Notes section for additional detail. Sources: Energy Information Administration, Form FEA-F701-M-0, "Transfer Pricing Report," January...

  14. Livestock Seasonal Price Variation

    E-Print Network [OSTI]

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

    1999-09-21T23:59:59.000Z

    that number by the index of the future month for which the price forecast is being determined. For example, if June Amarillo direct fed cattle prices averaged $64 per hun- dredweight (cwt.), the forecast for October would be $64 divided by 97.12, multiplied... by 99.04 = $65.27 per cwt. Adjusting for the vari- ability suggests that there is a 68 percent proba- bility that the October monthly average price would fall between $70.67 cwt. and $59.87 cwt. Seasonal Price Index for Amarillo Direct Fed Steers...

  15. ,"Colorado Natural Gas Prices"

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

    Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Colorado Natural Gas Prices",8,"Monthly","112014","1151989" ,"Release Date:","1302015"...

  16. CCPExecutiveSummary Collusive Price

    E-Print Network [OSTI]

    Feigon, Brooke

    CCPExecutiveSummary September 2011 Collusive Price Rigidity under Price-Matching Punishments W: www.uea.ac.uk/ccp T: +44 (0)1603 593715 A: UEA, Norwich, NR4 7TJ Collusive Price Rigidity under Price and price rigidity are linked. This belief is formalised in the theory of the kinked demand curve

  17. The Price of Oil Risk Steven D. Baker, Bryan R. Routledge,

    E-Print Network [OSTI]

    The Price of Oil Risk Steven D. Baker, Bryan R. Routledge, September 2011 [December 20, 2012 multiple goods. We use this optimal consumption allocation to derive a pricing kernel and the price of oil for oil. As an example, in a calibrated version of our model we show how rising oil prices and falling oil

  18. Modeling the U.S. Rooftop Photovoltaics Market

    SciTech Connect (OSTI)

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

    2010-09-01T23:59:59.000Z

    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.

  19. Residential implementation of critical-peak pricing of electricity

    E-Print Network [OSTI]

    Herter, Karen

    2006-01-01T23:59:59.000Z

    L.R. Modeling alternative residential peak-load electricitydemand response to residential critical peak pricing (CPP)analysis of California residential customer response to

  20. CRUDE OIL PRICE SHOCKS AND GROSS DOMESTIC PRODUCT.

    E-Print Network [OSTI]

    Hernandez, Jordan

    2012-01-01T23:59:59.000Z

    ??This study uses ordinary least squares estimation to test multivariate models in order to find out whether or not crude oil price shocks are contractionary (more)

  1. Price-elastic demand in deregulated electricity markets

    SciTech Connect (OSTI)

    Siddiqui, Afzal S.

    2003-05-01T23:59:59.000Z

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

  2. Group Interaction Prompted by a Simple Assessed Open Learner Model that can be Optionally Released to Peers

    E-Print Network [OSTI]

    Bull, Susan

    to which these findings may be transferable to other settings. 1 Introduction Open learner models (OLM introduces OLMlets, a simple OLM to help users identify their learning needs. Based on UMPTEEN [4], OLMlets of OLMs. The aim in this paper is to provide an indication of what can be achieved with a simple OLM

  3. Energy Prices and California's Economic

    E-Print Network [OSTI]

    Sadoulet, Elisabeth

    1 Energy Prices and California's Economic Security David RolandHolst October, 2009 on Energy Prices, Renewables, Efficiency, and Economic Growth: Scenarios and Forecasts, financial support drivers, the course of fossil fuel energy prices, energy efficiency trends, and renewable energy

  4. Utility spot pricing, California

    E-Print Network [OSTI]

    Schweppe, Fred C.

    1982-01-01T23:59:59.000Z

    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 ...

  5. 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)

    2014-10-24T23:59:59.000Z

    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.

  6. Gasoline price data systems

    SciTech Connect (OSTI)

    Not Available

    1980-05-01T23:59:59.000Z

    Timely observation on prices of gasoline at the wholesale and retail level by geographical area can serve several purposes: (1) to facilitate the monitoring of compliance with controls on distributor margins; (2) to indicate changes in the competitive structure of the distribution system; (3) to measure the incidence of changes in crude oil and refiner costs on retail prices by grade of gasoline, by type of retail outlet, and by geographic area; (4) to identify anomalies in the retail pricing structure that may create incentives for misfueling; and (5) to provide detailed time series data for use in evaluating conservation response to price changes. In order to provide the needed data for these purposes, the following detail on gasoline prices and characteristics of the sampling procedure appear to be appropriate: (1) monthly sample observations on wholesale and retail prices by gasoline grade and type of wholesale or retail dealer, together with volume weights; (2) sample size sufficient to provide detail by state and large cities; (3) responses to be tabulated and reports provided within 30 days after date of observation; and (4) a quick response sampling procedure that can provide weekly data, at least at the national level, when needed in time of rapidly changing prices. Price detail by state is suggested due to its significance for administrative purposes and since gasoline consumption data are estimated by state from other sources. Price detail for large cities are suggested in view of their relevancy as problem areas for vehicle emissions, reflecting one of the analytical uses of the data. In this report, current reporting systems and data on gasoline prices are reviewed and evaluated in terms of the needs outlined above. Recommendations are made for ways to fill the gaps in existing data systems to meet these needs.

  7. Price forecasting for notebook computers.

    E-Print Network [OSTI]

    Rutherford, Derek Paul

    2012-01-01T23:59:59.000Z

    ??This paper proposes a four-step approach that uses statistical regression to forecast notebook computer prices. Notebook computer price is related to constituent features over a (more)

  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. 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

  10. Cogeneration System Design Options

    E-Print Network [OSTI]

    Gilbert, J. S.

    , engine, turbine, generator, switchgear, and balance of plant can be bewildering. This paper presents an overview and a systematic approach to the basic system alternatives and attributes. The presentation illustrates how these options match the electrical...

  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. FEDERAL RESERVE BANK OF DALLASWhat Drives Natural Gas Prices?

    E-Print Network [OSTI]

    Stephen P. A. Brown; Mine K. Ycel; Stephen P. A. Brown; Mine K. Ycel

    2007-01-01T23:59:59.000Z

    Abstract: For many years, fuel switching between natural gas and residual fuel oil kept natural gas prices closely aligned with those for crude oil. More recently, however, the number of U.S. facilities able to switch between natural gas and residual fuel oil has declined, and over the past five years, U.S. natural gas prices have been on an upward trend with crude oil prices but with considerable independent movement. Natural gas market analysts generally emphasize weather and inventories as drivers of natural gas prices. Using an error-correction model, we show that when these and other additional factors are taken into account, movements in crude oil prices have a prominent role in shaping natural gas prices. Our findings imply a continuum of prices at which natural gas and petroleum products are substitutes.

  13. 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

    2013-12-01T23:59:59.000Z

    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 Chinas and Indias 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., Chinas, and Indias 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 Indias 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.

  14. Options Study - Phase II

    SciTech Connect (OSTI)

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

    2010-09-01T23:59:59.000Z

    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.

  15. Nevada Transportatoion Options Study

    SciTech Connect (OSTI)

    P. GEHNER; E.M. WEAVER; L. FOSSUM

    2006-05-25T23:59:59.000Z

    This study performs a cost and schedule analysis of three Nevada Transportation options that support waste receipt at the repository. Based on the U.S. Department of Energy preference for rail transportation in Nevada (given in the Final Environmental Impact Statement), it has been assumed that a branch rail line would be constructed to support waste receipt at the repository. However, due to potential funding constraints, it is uncertain when rail will be available. The three Nevada Transportation options have been developed to meet a varying degree of requirements for transportation and to provide cost variations used in meeting the funding constraints given in the Technical Direction Letter guidelines for this study. The options include combinations of legal-weight truck, heavy-haul truck, and rail. Option 1 uses a branch rail line that would support initial waste receipt at the repository in 2010. Rail transportation would be the primary mode, supplemented by legal weight trucks. This option provides the highest level of confidence in cost and schedule, lowest public visibility, greatest public acceptability, lowest public dose, and is the recommended option for support of waste receipt. The completion of rail by 2010 will require spending approximately $800 million prior to 2010. Option 2 uses a phased rail approach to address a constrained funding scenario. To meet funding constraints, Option 2 uses a phased approach to delay high cost activities (final design and construction) until after initial waste receipt in 2010. By doing this, approximately 95 percent of the cost associated with completion of a branch rail line is deferred until after 2010. To support waste receipt until a branch rail line is constructed in Nevada, additional legal-weight truck shipments and heavy-haul truck shipments (on a limited basis for naval spent nuclear fuel) would be used to meet the same initial waste receipt rates as in Option 1. Use of heavy-haul shipments in the absence of rail is restricted to approximately twelve, without upgrading public highways. There is high uncertainty as to what road upgrades and security/escorts the Nevada Department of Transportation would require to obtain an overweight/overdimensional permit. In addition, the Naval Nuclear Propulsion Program has indicated that a larger cask weight than that analyzed in the Final Environmental Impact Statement may be required for naval shipments, resulting in additional costs for heavy-haul transport. These uncertainties result in a high cost and schedule risk. Option 3 assumes that the start of rail construction will be delayed until after construction authorization is received from the Nuclear Regulatory Commission. Similar to Option 2, Option 3 uses legal-weight truck shipments and limited heavy haul truck shipments to meet the same initial waste receipt rates as Option 1, until rail becomes available. By using heavy-haul truck for two years, Option 3 contains the same uncertainties and resultant high cost and schedule risk as Option 2. The cost and schedule of legal-weight truck transport are not included in this report as that will be evaluated in the report on national transportation.

  16. CCPExecutiveSummary Price low and

    E-Print Network [OSTI]

    Feigon, Brooke

    CCPExecutiveSummary July 2010 Price low and then price high W: www.uea.ac.uk/ccp T: +44 (0)1603 593715 A: UEA, Norwich, NR4 7TJ Price low and then price high or price high and then price low introductory price for a new product followed by a higher price. For example, if at least some consumers face

  17. 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 Hongwei Dong, Ph.D. Candidate John D. Hunt, Professor John Gliebe, Assistant Professor #12;Framework Oil-run Short and Long-run #12;Topics covered by this presentation: Oil price and macro-economy Gas price

  18. 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

  19. Pawnee Nation Energy Option Analyses

    SciTech Connect (OSTI)

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

    2009-07-31T23:59:59.000Z

    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 tribes 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 Nations 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 Teams 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 tribes 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.

  20. The ethics of dynamic pricing

    SciTech Connect (OSTI)

    Faruqui, Ahmad

    2010-07-15T23:59:59.000Z

    Dynamic pricing has garnered much interest among regulators and utilities, since it has the potential for lowering energy costs for society. But the deployment of dynamic pricing has been remarkably tepid. The underlying premise is that dynamic pricing is unfair. But the presumption of unfairness in dynamic pricing rests on an assumption of fairness in today's tariffs. (author)

  1. 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

  2. Examination of Housing Price Impacts on Residential Properties Before and After Superfund Remediation Using Spatial Hedonic Modeling

    E-Print Network [OSTI]

    Mhatre, Pratik Chandrashekhar

    2010-10-12T23:59:59.000Z

    and sociodemographic change after remediation. This study examines the extent and size of the economic impact of Superfund sites on surrounding single-family residential properties before and after remediation in Miami-Dade County and examines trends... in neighborhoods with remedied Superfund sites albeit more so in low housing submarkets than premium submarkets. Spatial hedonic models outperformed traditional OLS models in presenting unbiased efficient parameter estimates, correcting for spatial dependence...

  3. Thermal test options

    SciTech Connect (OSTI)

    Koski, J.A.; Keltner, N.R.; Sobolik, K.B.

    1993-02-01T23:59:59.000Z

    Shipping containers for radioactive materials must be qualified to meet a thermal accident environment specified in regulations, such at Title 10, Code of Federal Regulations, Part 71. Aimed primarily at the shipping container design, this report discusses the thermal testing options available for meeting the regulatory requirements, and states the advantages and disadvantages of each approach. The principal options considered are testing with radiant heat, furnaces, and open pool fires. The report also identifies some of the facilities available and current contacts. Finally, the report makes some recommendations on the appropriate use of these different testing methods.

  4. Lighting Options for Homes.

    SciTech Connect (OSTI)

    Baker, W.S.

    1991-04-01T23:59:59.000Z

    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)

  5. Use the Acceptable Crop Price worksheet to determine breakeven prices for your crops. ACCEPTABLE PRICE WORKSHEET

    E-Print Network [OSTI]

    Netoff, Theoden

    Use the Acceptable Crop Price worksheet to determine breakeven prices for your crops. ACCEPTABLE PRICE WORKSHEET Prepared by: David Bau - Regional Extension Educator, Agricultural Business Management (August 2012) CROP INCOME EXAMPLE YOUR FARM EXAMPLE YOUR FARM (A) Crop Acres 400 400 176 46 (C) Price

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

    E-Print Network [OSTI]

    Kemper, Alfons

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

  7. 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

  8. 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

  9. Computer Science Degree options

    E-Print Network [OSTI]

    Brierley, Andrew

    82 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 Science MSci (Single Honours Degree) Computer Science Entrance Requirements (see also pages 164 - 205

  10. Fuels options conference

    SciTech Connect (OSTI)

    NONE

    1995-09-01T23:59:59.000Z

    The proceedings of the Fuels Options Conference held May 9-10, 1995 in Atlanta, Georgia are presented. Twenty-three papers were presented at the conference that dealt with fuels outlook; unconventional fuels; fuel specification, purchasing, and contracting; and waste fuels applications. A separate abstract was prepared for each paper for inclusion in the Energy Science and Technology Database.

  11. Idaho's Energy Options

    SciTech Connect (OSTI)

    Robert M. Neilson

    2006-03-01T23:59:59.000Z

    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 Idahos energy options, and for developing and implementing Idahos energy direction and policies.

  12. Fewer Prices than Zones Steven Stoft

    E-Print Network [OSTI]

    California at Berkeley. University of

    of the FERC or of its Office of Economic Policy. Nodal energy spot prices induce a least-cost dispatch are priced explicitly instead of implicitly through nodal energy price differences. Pricing transmission energy spot market. Even including the hub price, there are fewer CP+Hub prices than zonal prices

  13. Towards Dynamic Pricing-Based Collaborative Optimizations for Green Data Centers

    E-Print Network [OSTI]

    Loo, Boon Thau

    framework by coupling utilities with data centers via dynamic pricing. We develop models describing using real intermittent-energy-generation trace data. Modeling the dynamic price over this trace, weTowards Dynamic Pricing-Based Collaborative Optimizations for Green Data Centers Yang Li David Chiu

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

    E-Print Network [OSTI]

    Faghih, Ali

    2011-01-01T23:59:59.000Z

    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 ...

  15. MTBE, methanol prices rise

    SciTech Connect (OSTI)

    Morris, G.D.L.; Cornitius, T.

    1995-12-20T23:59:59.000Z

    After several months of drifting lower in line with declining autumn gasoline prices, tabs for methyl tert-butyl ether (MTBE) have turned around. There has been no big demand surge, but consumers and traders are beginning to build up inventories in advance of a series of midwinter shutdowns and turnarounds by producers. Spot prices, which dropped as low as 75 cts/gal, have rebounded to 90 cts/gal fob. Eager for a positive glimmer, methanol producers posted a 3-cts/gal increase in contract prices this month. It marks the first upward idea since February. In that time contract prices have dropped 75% from $1.55/gal to 39 cts/gal. A hard winter has hit early in much of the US sending natural gas prices up sharply. At the same time, formaldehyde and acetic acid markets remain firm, and with MTBE rebounding, methanol producers feel entitled to a piece of the action. {open_quotes}I don`t buy into this claim that MTBE demand is up and I don`t think producers can justify even a 3-cts/gal increase,{close_quotes} says one. {open_quotes}There is nothing in the economy to warrant a run-up. Housing starts are weaker, and demand is down at least 80,000 bbl/day with the MTBE shutdown.{close_quotes}

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

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

    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...

  17. An Analysis of Price Volatility in Different Spot Markets for Electricity in the U.S.A.

    E-Print Network [OSTI]

    An Analysis of Price Volatility in Different Spot Markets for Electricity in the U.S.A. by Tim important feature. Spot prices for electricity have been very volatile with dramatic price spikes occurring insight into the behavior of spot prices for electricity, and in particular, to model the type

  18. Oil Prices and Terms of Trade.

    E-Print Network [OSTI]

    Mirfacihi, Azar

    2006-01-01T23:59:59.000Z

    ?? One of the central issues in international macroeconomics is relative price movements and their sources. One such price is the price of crude oil. (more)

  19. Fairness and dynamic pricing: comments

    SciTech Connect (OSTI)

    Hogan, William W.

    2010-07-15T23:59:59.000Z

    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)

  20. Texas Farm Commodity Prices.

    E-Print Network [OSTI]

    Childs, V. C. (Virgil C.); Schlotzhauer, Elbert O.; McNeely, John G.

    1948-01-01T23:59:59.000Z

    the base price of 12.4 cents or 31.12 cents a pound. The parity price for wheat was 2.51 times 88.4 cents or $2.22 per bushel. The parity price of potatoes, however, which is calculated from the base August 1919-July 1929, was 1.66 times $1.12 a bushel....90 1.88 1.86 1.78 1.40 1.08 1.12 1920 0 24 1 36 1 44 1.51 1.62 1.70 1.62 1.42 1.15 .94 .86 1921 80 :86 :88 85 84 82 77 64 51 49 52 1922 .51 .58 .66 .68 .72 .72 .72 .74 .71 .72 .79 1923 .92 .95 1.00 1.04 1.04 1.06 1.03 .98 .98 1.01 1.00 1924 1...

  1. Residential propane prices increase

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsrucLas ConchasPassive Solar HomePromisingStories »Submitter Apropane prices increasepropane prices

  2. Diesel prices decrease

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsruc DocumentationP-Series to UserProduct: CrudeOfficeNERSC HelpsDiesel prices continueDiesel prices

  3. Diesel prices decrease

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsruc DocumentationP-Series to UserProduct: CrudeOfficeNERSC HelpsDiesel pricesDiesel prices decrease

  4. Diesel prices decrease

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsruc DocumentationP-Series to UserProduct: CrudeOfficeNERSC HelpsDiesel pricesDiesel prices

  5. Diesel prices flat

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsruc DocumentationP-Series to UserProduct: CrudeOfficeNERSC HelpsDieseldiesel pricesDiesel prices

  6. Market Maker Inventories and Stock Prices Terrence Hendershott

    E-Print Network [OSTI]

    Kearns, Michael

    Market Maker Inventories and Stock Prices Terrence Hendershott U.C. Berkeley Mark S. Seasholes U.C. Berkeley This Version March 3, 2006 Abstract This paper examines daily inventory/asset price dynamics using longer horizon testing of market making inventory models--e.g., Grossman and Miller (1988). We confirm

  7. Procurement Options for New Renewable Electricity Supply

    SciTech Connect (OSTI)

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

    2011-12-01T23:59:59.000Z

    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.

  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

    2014-01-01T23:59:59.000Z

    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. Pricing trends in the US market for wholesale power

    SciTech Connect (OSTI)

    Geschwind, D.P.; Flucke, J.M. [Burns & McDonnell, Kansas City, MO (United States)

    1996-12-31T23:59:59.000Z

    Electricity markets in the United States have undergone an interesting transformation over the last several years. With the Energy Policy Act of 1992, Congress set the stage for competition in the wholesale market for electricity. No longer could one utility hold another utility hostage by denying it transmission access. Through increased choices of suppliers, purchasers of wholesale power have, in many cases, been able to lower their power costs by purchasing power on the open market, rather than purchasing power solely from an adjacent utility. Burns & McDonnell has worked with many wholesale power purchasers over recent years to evaluate the available options for lowering their power costs. In many of these evaluations, bid solicitations were conducted to identify specific wholesale power purchase options. Through these projects, Burns & McDonnell has been able to collect a substantial amount of data on the offered prices for wholesale power over the last several years. The purpose of this paper is to compare the purchase power data collected by Burns & McDonnell over the last several years in evaluating resource options for electric utilities. Reviews of this data suggest a declining pricing trend that reflects increasing levels of competition in the wholesale power market. The paper also illustrates the difficulty in constructing new generation that can produce electricity at a cost below that of the wholesale power market. Finally, the paper addresses the difference between average cost and marginal cost pricing as it relates to the cost of producing wholesale power for sale. The paper discusses the idea that some participants in the wholesale power market may actually be offering power for prices that are lower than their cost of producing electricity. The advantages and disadvantages of this pricing approach are examined.

  10. 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

    1995-04-01T23:59:59.000Z

    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.

  11. Design options for clothes washers

    SciTech Connect (OSTI)

    Biermayer, Peter J.

    1996-10-01T23:59:59.000Z

    This report discusses possible design options for improving the energy efficiency of standard capacity, residential clothes washers.

  12. Best Buys and Unit Pricing

    E-Print Network [OSTI]

    Anding, Jenna

    2000-02-02T23:59:59.000Z

    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....

  13. 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 ...

  14. Price forecasting for notebook computers

    E-Print Network [OSTI]

    Rutherford, Derek Paul

    2012-06-07T23:59:59.000Z

    This paper proposes a four-step approach that uses statistical regression to forecast notebook computer prices. Notebook computer price is related to constituent features over a series of time periods, and the rates of change in the influence...

  15. Pricing statistics sourcebook. 5. edition

    SciTech Connect (OSTI)

    NONE

    1999-11-01T23:59:59.000Z

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

  16. Pricing with uncertain customer valuations

    E-Print Network [OSTI]

    2007-10-16T23:59:59.000Z

    Building Room 329, 200 W Packer Ave, Bethlehem, PA 18015, ... of uncertainty motivates the introduction of non-linearities in the demand as a function of price ... of price-response functions, parametrized by a risk sensitivity coefficient, which

  17. National Laboratory Dorene Price

    E-Print Network [OSTI]

    : price@bnl.gov ELECTROCHEMICAL ENHANCEMENT OF BIO-ETHANOL AND METABOLITE PRODUCTION Brookhaven National as a manufacturing step in their process to produce bio-ethanol or other commercially used metabolites can implement ApplicationFiled 61/042,867 TECHNOLOGY This method accelerates the production of ethanol and other metabolites

  18. National Laboratory Dorene Price

    E-Print Network [OSTI]

    applications from a broader perspective as well as in a narrower perspective, the hydrogen fuel cell industry alanates doped with such metal catalysts. Hydrogen is one part of a balanced, strategic portfolio of energy: price@bnl.gov ACTIVATED ALUMINUM HYDRIDE HYDROGEN STORAGE COMPOSITIONS AND USES THEREOF Brookhaven

  19. China, India demand cushions prices

    SciTech Connect (OSTI)

    Boyle, M.

    2006-11-15T23:59:59.000Z

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

  20. CCPPolicyBriefing Resale Price

    E-Print Network [OSTI]

    Feigon, Brooke

    CCPPolicyBriefing Sept 2010 Resale Price Maintenance W: www.uea.ac.uk/ccp T: +44 (0)1603 593715 A: UEA, Norwich, NR4 7TJ Resale Price Maintenance and Restrictions on Dominant Firm and Industry-Wide Adoption BACKGROUND In June 2007, the nearly 100-year-old ban on retail price maintenance was overturned

  1. Risk Price Dynamics Jaroslav Borovicka

    E-Print Network [OSTI]

    Hansen, Lars Peter

    Risk Price Dynamics Jaroslav Borovicka University of Chicago Lars Peter Hansen University November 11, 2009 Abstract We present a novel approach to depicting asset pricing dynamics by characterizing shock exposures and prices for alternative investment horizons. We quantify the shock exposures

  2. A Laboratory Investigation of Deferral Options

    E-Print Network [OSTI]

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

    2007-01-01T23:59:59.000Z

    T. and Antikarov, V. , 2003, Real Options: A Practitionerssteady state. Keywords: Real options, optimal stopping,email Introduction Real options theory came of age in the

  3. Resources, real options, and corporate strategy

    E-Print Network [OSTI]

    Bernardo, Antonio; Chowdhry, Bhagwan

    1998-01-01T23:59:59.000Z

    211234 Resources, real options, and corporate strategy $D83; G30; G31 Keywords: Real options; Valuation; Corporateparticipants at the Real Options Conference at Northwestern

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

    SciTech Connect (OSTI)

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

    2010-06-02T23:59:59.000Z

    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.

  5. Forecasting the Hourly Ontario Energy Price by Multivariate Adaptive Regression Splines

    E-Print Network [OSTI]

    Cañizares, Claudio A.

    1 Forecasting the Hourly Ontario Energy Price by Multivariate Adaptive Regression Splines H. In this paper, the MARS technique is applied to forecast the hourly Ontario energy price (HOEP). The MARS models values of the latest pre- dispatch price and demand information, made available by the Ontario

  6. 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 and 2006 actual electric prices have been more volatile than the Aurora forecast. This is expected because

  7. 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 prices with observed data. Keywords: electricity, bid stack, fundamental, margin, demand, natural gas 1

  8. 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

  9. An analysis of cattle feedlot placement, feeding and marketing strategies under alternative price relationships

    E-Print Network [OSTI]

    Clary, Gregory Michael

    2012-06-07T23:59:59.000Z

    FEEDERS RELATIVE TO OPTIMUM STRATEGIES UNDER PROJECTED SLAUGHTER PRICES 51 Forecasted Slaughter Steer and Heifer Prices Decision Model for Cattle Feeders Under Pro- jected Fed Slaughter Steer and Heifer Prices 51 56 ix Page ST RATE GIES FOR USE..., strong demand for beef growing out of a serious escalation of the Vietnam conflict and an abundance of low-priced feedgrains were important factors in explaining continued feedlot expansion. The cattle feeding industry functioned under gen- erally...

  10. Retrieval options study

    SciTech Connect (OSTI)

    Not Available

    1980-03-01T23:59:59.000Z

    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).

  11. Bounds for Asian basket options Griselda Deelstra a,, Ibrahima Diallo b

    E-Print Network [OSTI]

    Deelstra, Griselda

    , Ghent University, Krijgslaan 281, building S9, 9000 Gent, Belgium Abstract In this paper we propose prices Si(t), i = 1, . . . , n, are described, under the risk neutral measure Q and with r some risk-neutral in the basket into account. Asian basket options are especially important in the energy markets where most

  12. Capture-ready coal plants--Options, technologies and Mark C. Bohm a

    E-Print Network [OSTI]

    . Introduction Interest in the construction of coal-fired power generation has increased significantly in recentCapture-ready coal plants--Options, technologies and economics Mark C. Bohm a , Howard J. Herzog a facilities, and the current challenges of availability and pricing of alternative generation technologies

  13. 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

  14. OPTIONS TO MANAGE RISKS IN GENERATION Jos L. Arriagada Hugh Rudnick

    E-Print Network [OSTI]

    Catholic University of Chile (Universidad Católica de Chile)

    deregulation, risk management, options, market risks, futures, energy prices. I. INTRODUCTION The restructuring new regulations, is the electrical wholesale market. However, there has not been unanimity to a single organization, the Pool, the tasks related to the system operation and the wholesale market

  15. 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

  16. Dynamic LMP Response Under Alternative Price-Cap and Price-Sensitive Demand Scenarios

    E-Print Network [OSTI]

    Tesfatsion, Leigh

    test bed, locational marginal prices, demand-bid price sensitivity, supply-offer price caps, learning that are separately settled each day by means of Locational Marginal Pricing (LMP). Under LMP, a separate price the complicated nonlinear effects of demand-bid price sensitivity and supply-offer price caps on Locational

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

    E-Print Network [OSTI]

    Benmenzer, Grgory; Jrusalem, Cline

    2007-01-01T23:59:59.000Z

    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.

  18. Transition Strategies: Government Options and Market Penetration...

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

    Strategies: Government Options and Market Penetration Scenarios Transition Strategies: Government Options and Market Penetration Scenarios Presentation on Transition Strategies:...

  19. Essays on oil price shocks and financial markets

    E-Print Network [OSTI]

    Wang, Jiayue

    2012-06-26T23:59:59.000Z

    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 ...

  20. The Antecedents and Consequences of Price Fairness in Tourism

    E-Print Network [OSTI]

    Chung, Jin Young

    2012-02-14T23:59:59.000Z

    research. The purpose of this study was to examine the antecedents and consequences of tourists? perceived price fairness of the ancillary revenue (i.e. extra fees of airlines). In particular, a conceptual model was based on Weiner's (1980) attribution...

  1. The Effects of Price Discrimination on Buyers Internal Reference Price and Post-purchase Emotions.

    E-Print Network [OSTI]

    Huang, Siang-hua

    2007-01-01T23:59:59.000Z

    ??This article examines whether price discrimination affects consumer price perceptions and emotions. Questionnaires involving various purchasing scenarios indicate that all kinds of price discrimination decrease (more)

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

    E-Print Network [OSTI]

    Hwang, Min; Quigley, John M.

    2007-01-01T23:59:59.000Z

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

  3. 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

    2010-01-01T23:59:59.000Z

    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 ...

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

    SciTech Connect (OSTI)

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

    2005-02-09T23:59:59.000Z

    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.

  5. Local Option- Property Tax Exemption

    Broader source: Energy.gov [DOE]

    Vermont allows municipalities the option of offering an exemption from the municipal real and personal property taxes for certain renewable energy systems (Note: state property taxes would still...

  6. Sustainable Energy: Choosing Among Options

    E-Print Network [OSTI]

    Mirza, Umar Karim

    2006-01-01T23:59:59.000Z

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

  7. Mandatory Utility Green Power Option

    Broader source: Energy.gov [DOE]

    In Montana, regulated electric utilities are required to offer customers the option of purchasing electricity generated by certified, environmentally-preferred resources that include, but are not...

  8. Impact of price specials on estimates of retail meat prices

    E-Print Network [OSTI]

    Degner, Robert L

    1970-01-01T23:59:59.000Z

    ighting Technique V. V. SUM'JARA' AND CONCLUSIONS. 46 55 o3 69 Ti. me-of-the-Week to Collect Prices. Bias Reduced by Regression. Concluding Statement. REFEBENCES. APPENDIX. 89 90 95 100 115 vill LIST OF TABLES Table Page 1-1. Relative...' or individual items in Dallas and Houston. 101 3-1. Simulated BLS price estimates of 46 meat items based upon different sampling rates and weighted average price, or all data, July 1968. . . . . . . . . . . . 107 "Error" of price estimates; differences...

  9. Trends in Utility Green Pricing Programs (2004)

    SciTech Connect (OSTI)

    Bird, L.; Brown, E.

    2005-10-01T23:59:59.000Z

    In the early 1990s, only a handful of utilities offered their customers a choice of purchasing electricity generated from renewable energy sources. Today, nearly 600 utilities in regulated electricity markets--or almost 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 about 125. Through these programs, more than 40 million customers spanning 34 states 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 2004 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 as benchmarks by which to gauge the success of their green power programs.

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

    E-Print Network [OSTI]

    Schulz-Mahlendorf, Wilko Ziggy

    2013-01-01T23:59:59.000Z

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

  11. Rural Health Option The Rural Health Option requires

    E-Print Network [OSTI]

    Veiga, Pedro Manuel Barbosa

    Rural Health Option The Rural Health Option requires: Membership in StORM Club, the Students include up to 3 sites/3physician-mentors Enrollment into BOTH rural health electives for a total of 2.sumner@okstate.edu) o Spring: Perspectives in Rural Health for OMSI or OMSII (or OMSIII with special permission) CLME

  12. Real Estate Price Measurement and Stability Crises

    E-Print Network [OSTI]

    Wallace, Nancy

    2011-01-01T23:59:59.000Z

    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

  13. Essays in Technology Diffusion and Asset Pricing

    E-Print Network [OSTI]

    Bednarek, Ziemowit Konrad

    2010-01-01T23:59:59.000Z

    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

  14. 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 ...

  15. Revisiting the Income Effect: Gasoline Prices and Grocery Purchases

    E-Print Network [OSTI]

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

    2008-01-01T23:59:59.000Z

    Sold On Sale and Retail Gasoline Prices Log % Purchased Onhigher gasoline prices into retail prices, by investigatingexcluding California average retail gasoline price for all

  16. THESIS FOR THE DEGREE OF LICENTIATE OF PHILOSOPHY On the Pricing of

    E-Print Network [OSTI]

    Patriksson, Michael

    THESIS FOR THE DEGREE OF LICENTIATE OF PHILOSOPHY On the Pricing of Barrier Options and Related This licentiate thesis started out as a project together with Front Capital Systems AB. I am very grateful to Anna #12; About ECMI This licentiate thesis was written to conclude a øve semester ECMI (Euro­ pean

  17. ,"New Mexico Natural Gas Prices"

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

    ,"Worksheet Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","New Mexico Natural Gas Prices",8,"Monthly","12015","1151989" ,"Release Date:","331...

  18. ,"New York Natural Gas Prices"

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

    Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","New York Natural Gas Prices",8,"Monthly","102014","1151989" ,"Release Date:","12312014"...

  19. Residential heating oil price

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsrucLas ConchasPassive Solar HomePromisingStories »Submitter A B CAdministrationheating oil price

  20. Residential propane price

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsrucLas ConchasPassive Solar HomePromisingStories »Submitter A Bheating oilheating5,propane price

  1. Residential propane price decreases

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsrucLas ConchasPassive Solar HomePromisingStories »Submitter A Bheatingpropane price decreases The

  2. Residential propane price decreases

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsrucLas ConchasPassive Solar HomePromisingStories »Submitter A Bheatingpropane price decreases

  3. Residential propane price decreases

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsrucLas ConchasPassive Solar HomePromisingStories »Submitter A Bheatingpropane price

  4. Residential propane price decreases

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsrucLas ConchasPassive Solar HomePromisingStories »Submitter A Bheatingpropane pricepropane price

  5. Residential propane prices available

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsrucLas ConchasPassive Solar HomePromisingStories »Submitter A Bheatingpropane6,propane prices

  6. Residential propane prices decreases

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsrucLas ConchasPassive Solar HomePromisingStories »Submitter A Bheatingpropane6,propane prices5,

  7. Residential propane prices increase

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsrucLas ConchasPassive Solar HomePromisingStories »Submitter Apropane prices increase The average

  8. Residential propane prices increase

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsrucLas ConchasPassive Solar HomePromisingStories »Submitter Apropane prices increase The

  9. Residential propane prices increase

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsrucLas ConchasPassive Solar HomePromisingStories »Submitter Apropane prices increase Thepropane

  10. Residential propane prices increase

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsrucLas ConchasPassive Solar HomePromisingStories »Submitter Apropane prices increase

  11. Residential propane prices increase

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsrucLas ConchasPassive Solar HomePromisingStories »Submitter Apropane prices increasepropane

  12. Residential propane prices stable

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsrucLas ConchasPassive Solar HomePromisingStories »Submitter Apropane prices increasepropanepropane

  13. Residential propane prices stable

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsrucLas ConchasPassive Solar HomePromisingStories »Submitter Apropane prices

  14. Residential propane prices surges

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsrucLas ConchasPassive Solar HomePromisingStories »Submitter Apropane pricespropane prices surges

  15. Residential propane prices surges

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsrucLas ConchasPassive Solar HomePromisingStories »Submitter Apropane pricespropane prices surges5,

  16. Residential propane prices surges

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsrucLas ConchasPassive Solar HomePromisingStories »Submitter Apropane pricespropane prices

  17. Residential propane prices surges

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsrucLas ConchasPassive Solar HomePromisingStories »Submitter Apropane pricespropane prices9, 2014

  18. Residential propane prices surges

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsrucLas ConchasPassive Solar HomePromisingStories »Submitter Apropane pricespropane prices9,

  19. Average Commercial Price

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines AboutDecemberSteam Coal Import CostsLiquidsYearReserves (Billion5: Oil andCitygate Price

  20. Average Residential Price

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines AboutDecemberSteam Coal Import CostsLiquidsYearReserves (Billion5: OilCitygate Price

  1. Average Residential Price

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines AboutDecemberSteam Coal Import CostsLiquidsYearReserves (Billion5: OilCitygate Price

  2. Diesel prices decrease

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsruc DocumentationP-Series to UserProduct: CrudeOfficeNERSC HelpsDiesel prices continueDiesel

  3. Diesel prices decrease

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsruc DocumentationP-Series to UserProduct: CrudeOfficeNERSC HelpsDiesel prices continueDieselDiesel

  4. Diesel prices decrease

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsruc DocumentationP-Series to UserProduct: CrudeOfficeNERSC HelpsDiesel prices

  5. Diesel prices decrease slightly

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsruc DocumentationP-Series to UserProduct: CrudeOfficeNERSC HelpsDieseldiesel prices

  6. Diesel prices flat nationally

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsruc DocumentationP-Series to UserProduct: CrudeOfficeNERSC HelpsDieseldiesel pricesDiesel

  7. Diesel prices increase

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsruc DocumentationP-Series to UserProduct: CrudeOfficeNERSC HelpsDieseldiesel pricesDieselDiesel

  8. Diesel prices increase nationally

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsruc DocumentationP-Series to UserProduct: CrudeOfficeNERSC HelpsDieseldieselDiesel prices

  9. Diesel prices slightly decrease

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsruc DocumentationP-Series to UserProduct: CrudeOfficeNERSC HelpsDieseldieselDieselDiesel prices

  10. Who is Exposed to Gas Prices? How Gasoline Prices Affect Automobile Manufacturers and Dealerships

    E-Print Network [OSTI]

    Rothman, Daniel

    Who is Exposed to Gas Prices? How Gasoline Prices Affect Automobile Manufacturers and Dealerships Prices Affect Automobile Manufacturers and Dealerships Abstract Many consumers are keenly aware, by contrast, we investigate how gasoline prices affect the automobile industry: manufacturers and dealerships

  11. Price's Theorem: A General Equation for Response

    E-Print Network [OSTI]

    Walsh, Bruce

    12 Price's Theorem: A General Equation for Response It is always difficult, in retrospect, to see situation. Ac- tually, there is, namely Price's Theorem (Price 1970, 1972a), also referred to as the Price Equation. Price's theorem provides a notationally elegant way to describe any selection re- sponse. We

  12. 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

    2011-04-19T23:59:59.000Z

    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.

  13. Analysis of leaded and unleaded gasoline pricing. Final report

    SciTech Connect (OSTI)

    Not Available

    1985-03-15T23:59:59.000Z

    This report summarizes the evaluation of the cost price relation between the two fuels. The original scope of work identified three separate categories of effort: Gather and organize available data on the wholesale and retail prices of gasoline at a national level for the past 5 years. Using the data collected in Subtask 1, develop models of pricing practices that aid in explaining retail markups and price differentials for different types and grades of gasoline at different retail outlets in the current gasoline market. Using the data from Subtask 1 and the analysis framework from Subtask 2, analyze the likely range of future retail markups and price differentials for different grades of leaded and unleaded gasoline. The report is organized in a format that is different than suggested by the subtasks outlined above. The first section provides a characterization of the problem - data available to quantify cost and price of the fuels as well as issues that directly affect this relationship. The second section provides a discussion of issues likely to affect this relation in the future. The third section postulates a model that can be used to quantify the relation between fuels, octane levels, costs and prices.

  14. Communication Needs and Integration Options

    E-Print Network [OSTI]

    " links that carry data from smart meters to the control center. The consensus on HAN technologiesCommunication 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

  15. Communication Needs and Integration Options

    E-Print Network [OSTI]

    home area networks (HANs) than "backhaul" links that carry data from smart meters to the control centerCommunication 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

  16. Solid Target Options S. Childress

    E-Print Network [OSTI]

    McDonald, Kirk

    power is higher than for existing solid target designs - but not by a large factor. · NuMI graphite beam power) · High beam power solid targets frequently use higher z materials for increased yield plusSolid Target Options NuFACT'00 S. Childress Solid Target Options · The choice of a primary beam

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

    E-Print Network [OSTI]

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

    2007-01-01T23:59:59.000Z

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

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

    Gasoline and Diesel Fuel Update (EIA)

    * Price asymmetry is difficult to define and model, but it is not an impossible task. * The shorter the time period between data points, the stronger the conclusions that...

  19. Participatory Pricing in Sport: An Examination of Name-Your-Own-Price and Pay-What-You-Want Pricing

    E-Print Network [OSTI]

    Reese, Jason 1985-

    2012-12-06T23:59:59.000Z

    The purpose of this study is to better understand the effects participatory pricing strategies have on consumer perceptions and behaviors in a sport event pricing scenario. Participatory pricing strategies are those that include the consumer...

  20. AFCI Options Study

    SciTech Connect (OSTI)

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

    2009-09-01T23:59:59.000Z

    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.

  1. Revenue Management: A Real Options Approach

    E-Print Network [OSTI]

    Marcotte, Patrice

    . The active management typically occurs through managerial levers such as price, promotion or availabil- ity acceptable prices and inventory release quantities (number of cars available for rent at a given price) as a function of remaining time and available inventory. The pricing and inventory release recommen- dations

  2. Application of real options to reverse logistics process

    E-Print Network [OSTI]

    Kaga, Akihiro, 1975-

    2004-01-01T23:59:59.000Z

    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 ...

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

    E-Print Network [OSTI]

    Noel, Michael

    2004-01-01T23:59:59.000Z

    Robbery, An Analysis of the Gasoline Crisis, Bloomington:Dynamic Pricing in Retail gasoline Markets, RAND Journal ofR. Gilbert. Do Gasoline Markets Respond Asymmetrically to

  4. Sequestration Options for the West Coast States

    SciTech Connect (OSTI)

    Larry Myer

    2006-04-30T23:59:59.000Z

    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.

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

    E-Print Network [OSTI]

    Appendix A: Fuel Price Forecast Introduction ................................................................................................................... 17 INTRODUCTION Since the millennium, the trend for fuel prices has been one of uncertainty prices, which have traditionally been relatively stable, increased by about 50 percent in 2008. Fuel

  6. Efficient Metering Schemes with Pricing

    E-Print Network [OSTI]

    Stinson, Douglas

    Efficient Metering Schemes with Pricing Barbara Masucci Dipartimento di Informatica ed Applicazioni and Pinkas [7] introduced metering schemes. They proposed metering schemes in which any server is able and proposed metering schemes with pricing. In their schemes any server is able to construct a proof which

  7. MCNP6 Cosmic-Source Option

    SciTech Connect (OSTI)

    McKinney, Gregg W [Los Alamos National Laboratory; Armstrong, Hirotatsu [Los Alamos National Laboratory; James, Michael R [Los Alamos National Laboratory; Clem, John [University of Delaware, BRI; Goldhagen, Paul [DHS, National Urban Security Technology Laboratory

    2012-06-19T23:59:59.000Z

    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. Advanced Nuclear Fuel Cycle Options

    SciTech Connect (OSTI)

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

    2010-06-01T23:59:59.000Z

    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 todays implementation to revolutionary concepts that would require the development of advanced nuclear technologies.

  9. Prices include compostable serviceware and linen tablecloths

    E-Print Network [OSTI]

    California at Davis, University of

    APPETIZERS Prices include compostable serviceware and linen tablecloths for the food tables.ucdavis.edu. BUTTERNUT SQUASH & BLACK BEAN ENCHILADAS #12;BUFFETS Prices include compostable serviceware and linen

  10. Oil Prices and Long-Run Risk.

    E-Print Network [OSTI]

    READY, ROBERT

    2011-01-01T23:59:59.000Z

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

  11. Issues in Parallel Branch and Price

    E-Print Network [OSTI]

    Branch and price is the technique of combining column generation methods with branch ... price has been shown to be very e ective at solving large, specially...

  12. PRICE LEVELS AND DISPERSION WITH ASYMMETRIC INFORMATION.

    E-Print Network [OSTI]

    Bhattacharya, Tanmoy

    2011-01-01T23:59:59.000Z

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

  13. Electricity price forecasting in a grid environment.

    E-Print Network [OSTI]

    Li, Guang, 1974-

    2007-01-01T23:59:59.000Z

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

  14. Nonlinear Pricing in Energy and Environmental Markets

    E-Print Network [OSTI]

    Ito, Koichiro

    2011-01-01T23:59:59.000Z

    of households know their marginal price of electricity, andhouseholds experience substantially different nonlinear electricity pricehouseholds experience substantially different nonlinear electricity price

  15. 2007 Wholesale Power Rate Case Final Proposal : Market Price Forecast Study.

    SciTech Connect (OSTI)

    United States. Bonneville Power Administration.

    2006-07-01T23:59:59.000Z

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

  16. 2007 Wholesale Power Rate Case Initial Proposal : Market Price Forecast Study.

    SciTech Connect (OSTI)

    United States. Bonneville Power Administration.

    2005-11-01T23:59:59.000Z

    This chapter presents BPA's market price forecasts, which are based on AURORA modeling. AURORA calculates the variable cost of the marginal resource in a competitively priced energy market. In competitive market pricing, the marginal cost of production is equivalent to the market-clearing price. Market-clearing prices are important factors for informing BPA's rates. AURORA is used as the primary tool for (a) calculation of the demand rate, (b) shaping the PF rate, (c) estimating the forward price for the IOU REP settlement benefits calculation for fiscal years 2008 and 2009, (d) estimating the uncertainty surrounding DSI payments, (e) informing the secondary revenue forecast and (f) providing a price input used for the risk analysis.

  17. A real options approach to criminal careers

    E-Print Network [OSTI]

    Aguiar de Oliveira, Cristiano

    2012-01-01T23:59:59.000Z

    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

  18. Patents and R& D as Real Options

    E-Print Network [OSTI]

    Schwartz, Eduardo S.

    2002-01-01T23:59:59.000Z

    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. Mandatory Utility Green Power Option

    Broader source: Energy.gov [DOE]

    All electric utilities operating in Iowa, including those not rate-regulated by the Iowa Utilities Board (IUB), are required to offer green power options to their customers. These programs allow...

  20. Mandatory Utility Green Power Option

    Broader source: Energy.gov [DOE]

    Legislation enacted in 2009 directed the Maine Public Utilities Commission (PUC) to develop a program offering green power as an option to residential and small commercial customers in the state....

  1. Mandatory Utility Green Power Option

    Broader source: Energy.gov [DOE]

    In May 2001, Washington enacted legislation (EHB 2247) that requires all electric utilities serving more than 25,000 customers to offer customers the option of purchasing renewable energy. Eligible...

  2. 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

  3. Estimation of Volatility The values of the parameters r, t, St, T, and K used to price a call op-

    E-Print Network [OSTI]

    Privault, Nicolas

    is the price of light sweet crude oil futures traded on the New York Mercantile Exchange (NYMEX), basedChapter 7 Estimation of Volatility The values of the parameters r, t, St, T, and K used to price in the stock price model dSt St = µdt + dBt. A natural estimator for the trend parameter µ can be written as ^µ

  4. INTEGRATIVE BIOSCIENCES (IBIOS) GRADUATE PROGRAM OPTION

    E-Print Network [OSTI]

    dePamphilis, Claude

    INTEGRATIVE BIOSCIENCES (IBIOS) GRADUATE PROGRAM OPTION IN Bioinformatics and Genomics (BG) Degree-Faculty Relation----------------------------------------------------------------- 8 Bioinformatics and Genomics--------------------------------------------------------------------------------------------------17 #12;- -3 Bioinformatics and Genomics Option (BG

  5. 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...

  6. Final Report - Hydrogen Delivery Infrastructure Options Analysis...

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

    - Hydrogen Delivery Infrastructure Options Analysis Final Report - Hydrogen Delivery Infrastructure Options Analysis This report, by the Nexant team, documents an in-depth analysis...

  7. Final Report - Hydrogen Delivery Infrastructure Options Analysis

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

    pipelines for gaseous hydrogen delivery Option 2: Use of existing natural gas or oil pipelines for gaseous hydrogen delivery Option 3: Use of existing natural gas pipelines...

  8. Price determination for breeding bulls

    E-Print Network [OSTI]

    Namken, Jerry Carl

    1987-01-01T23:59:59.000Z

    of Oammittee) Ra A. ietrzch C. J ~) Daru. I (Heai of August l987 Price Detezlainatian for Breeding Bulls. (August 1987) Jerry Carl Namkan, B. S. , Texas A&M University; Chair of Advisory Committee: Dr. Donald E. Ferris A study using two different data... sets was conducted to determine the factors affecting the price of zmg~ Hereford hulls. In the first data set, both ~ and lagged national ~ feeder steer, utility cow, and crude oil prices, and net farm income were analyzed in a regzmsion procedure...

  9. Edgeworth Cycles and Focal Prices: Computational Dynamic Markov Equilibria

    E-Print Network [OSTI]

    Noel, Michael D.

    2004-01-01T23:59:59.000Z

    1993). Gas Wars: Retail Gasoline Price Fluctuations,Price Cycles: Firm Interaction in the Toronto Retail GasolinePrice Cycles, Cost-based Pricing and Sticky Pricing in Retail Gasoline

  10. Energy Prices and the Expansion of World Trade

    E-Print Network [OSTI]

    Benjamin Bridgman

    2008-01-01T23:59:59.000Z

    The oil shocks of the 1970s coincided with a number of economic disturbances. However, it has been difficult to develop models where oil shocks have a quantitatively important impact on the economy. In this paper, I show that the disturbances in transportation caused by the oil shocks can significantly affect the economy. I argue that changes in energy prices were responsible for a worldwide slowdown in the growth of trade and may help explain the apparent change in the price-trade elasticity. While tariffs have fallen steadily since 1970, trade growth slowed in the mid-1970s and has grown rapidly since the mid-1980s. In a standard trade model, this pattern implies that the price-import elasticity increased sharply in the mid-1980s. In this paper, I argue that the oil crises of the 1970s led to higher transportation costs. In 1986 energy prices fell to their pre-crisis level, reducing transportation costs and by extension trade barriers. I present a trade model with an energy using transportation sector. In model simulations, I show that total trade costs (transportation cost plus tariffs) are constant from 1974 to 1982. Once transportation costs are accounted for, the price-import elasticity no longer needs to radically change. I also show that trade expansion since 1960 is 50 percent higher in a standard trade model that includes a transportation sector compared to one that does not.

  11. Vehicle Sharing System Pricing Regulation: Transit Optimization of Intractable Queuing Network

    E-Print Network [OSTI]

    Vehicle Sharing System Pricing Regulation: Transit Optimization of Intractable Queuing Network November 14, 2012 Abstract This paper gives polynomially solvable stochastic models for a Vehicle Sharing capacities and no transportation times. 1. The Vehicle Sharing System Pricing problem is model as a Closed

  12. Introduction Risk associated with an adverse price

    E-Print Network [OSTI]

    O'Laughlin, Jay

    Introduction Risk associated with an adverse price change (price risk) is a normal part commodities are sold suggests price risk is an unavoidable part of being involved in the industry. Producers that have significant price variability. Recent domestic farm policy changes and trade barrier reductions

  13. Reservation Price Estimation by Adaptive Conjoint Analysis

    E-Print Network [OSTI]

    Schmidt-Thieme, Lars

    Reservation Price Estimation by Adaptive Conjoint Analysis Christoph Breidert1 , Michael Hahsler1 applied the eco- nomic definition of reservation price in combination with a conjoint study on product pricing. In this paper we present a novel approach to estimate the economic reser- vation price using

  14. Explaining the Price of Voluntary Carbon Offsets

    E-Print Network [OSTI]

    Conte, Marc N.; Kotchen, Matthew

    2009-01-01T23:59:59.000Z

    Energy and Sustainable Development, Stanford Univer- sity. Figure 1: Histogram of carbon offset prices (

  15. Natural gas prices: Rhyme or reason

    SciTech Connect (OSTI)

    Tucker, L.L.

    1995-12-31T23:59:59.000Z

    Problems in the establishment of natural gas prices are outlined. The tropics discussed include: US average natural gas prices; US average natural gas prices; US average fuel oil prices; and US average electric utility natural gas T and D margin in dollars Mcf.

  16. THE SIMPLE ECONOMICS OF COMMODITY PRICE SPECULATION

    E-Print Network [OSTI]

    Rothman, Daniel

    This draft: April 9, 2013 Abstract The price of crude oil in the U.S. never exceeded $40 per barrel until mid price changes? We clarify the effects of speculators on commodity prices. We focus on crude oil, but our approach can be applied to other commodities. We explain the meaning of "oil price speculation," how it can

  17. The power of dynamic pricing

    SciTech Connect (OSTI)

    Faruqui, Ahmad; Hledik, Ryan; Tsoukalis, John

    2009-04-15T23:59:59.000Z

    Using data from a generic California utility, it can be shown that it is feasible to develop dynamic pricing rates for all customer classes. These rates have the potential to reduce system peak demands from 1 to 9 percent. (author)

  18. Volatility and commodity price dynamics

    E-Print Network [OSTI]

    Pindyck, Robert S.

    2001-01-01T23:59:59.000Z

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

  19. Figure 4. World Oil Prices

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

    4. World Oil Prices" " (2007 dollars per barrel)" ,2007,2008,2009,2010,2011,2012,2013,2014,2015,2016,2017,2018,2019,2020,2021,2022,2023,2024,2025,2026,2027,2028,2029,2030...

  20. Investors' horizon and stock prices

    E-Print Network [OSTI]

    Parsa, Sahar

    2011-01-01T23:59:59.000Z

    This dissertation consists of three essays on the relation between investors' trading horizon and stock prices. The first chapter explores the theoretical relation between the horizon of traders and the negative externality ...

  1. The world price of coal

    E-Print Network [OSTI]

    Ellerman, A. Denny

    1994-01-01T23:59:59.000Z

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

  2. Essays on pricing under uncertainty

    E-Print Network [OSTI]

    Escobari Urday, Diego Alfonso

    2008-10-10T23:59:59.000Z

    sales from sales under average conditions, it presents is the first study to show empirical evidence of peak load pricing in airlines. (5) It controls for potential endogeneity of sales using dynamic panels. The first essay tests the empirical importance...

  3. A game theoretical analysis of the design options of the real-time electricity market Haikel Khalfallah a

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    1 A game theoretical analysis of the design options of the real-time electricity market Haikel January 2013 Abstract In this paper we study the economic consequences of two real-time electricity market increase forward contracts while raising electricity prices. Moreover, possible use of market power would

  4. The Price of Feed Utilities.

    E-Print Network [OSTI]

    Fraps, G. S. (George Stronach)

    1924-01-01T23:59:59.000Z

    TEXAS AGRICULTURAL EXPERIMENT STATION AGRICULTURAL AND MECHANICAL COLLEGE OF TEXAS W. B. BIZZELL, President BULLETIN NO. 323 September, 1924 DIVISION OF CHEMISTRY THE PRICE OF FEED UTILITIES B. YOUNGBLOOD, DIRECTOR COLLEGE STATION, BRAZOS.... SYNOPSIS The object of this Bulletin is to study the relation between the selling --:--s of commercial feeds and their content of feed utilities. The prices ounds of digestible protein, and therms of productive energy, were lated from certain available...

  5. Testing The Effects Of Price Responsive Demand On Uniform Price And Soft-Cap Electricity Auctions

    E-Print Network [OSTI]

    Testing The Effects Of Price Responsive Demand On Uniform Price And Soft-Cap Electricity Auctions R. The soft-cap market has not worked well. Spot prices for electricity in California remained consistently of different electric power markets with respect to price volatility and average market price. In particular

  6. The Effects of Price Transparency Regulation on Prices in the Healthcare Industry

    E-Print Network [OSTI]

    Mateo, Jill M.

    The Effects of Price Transparency Regulation on Prices in the Healthcare Industry Hans B Policymakers have enacted price transparency regulations in over thirty states during the past decade-state variation to address endogeneity concerns, we find that price transparency regulations reduce the price

  7. Impact on retail prices of non-neutral wholesale prices for content providers

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    Impact on retail prices of non-neutral wholesale prices for content providers Giuseppe D Atlantique Rennes, France Email: bruno.tuffin@irisa.fr Abstract--The impact of wholesale prices is examined equal wholesale prices to the two content providers), the benefits coming from wholesale price

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

    E-Print Network [OSTI]

    Lotko, William

    ), and British shipping cartels by Scott Morton (1997); research on Edgeworth cycles in retail gasoline pricing pricing data on rivals would not have been viewed as suspicious. The retail gasoline pricing data usedAn Empirical Study of Pricing Strategies in an Online Market with High-Frequency Price Information

  9. 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

    2009-12-01T23:59:59.000Z

    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.

  10. Residential Real-time Price Response Simulation

    SciTech Connect (OSTI)

    Widergren, Steven E.; Subbarao, Krishnappa; Chassin, David P.; Fuller, Jason C.; Pratt, Robert G.

    2011-10-10T23:59:59.000Z

    The electric industry is gaining experience with innovative price responsive demand pilots and limited roll-outs to customers. One of these pilots is investigating real-time pricing signals to engage end-use systems and local distributed generation and storage in a distributed optimization process. Attractive aspects about the approach include strong scalability characteristics, simplified interfaces between automation devices, and the adaptability to integrate a wide variety of devices and systems. Experience in this nascent field is revealing a rich array of for engineering decisions and the application of complexity theory. To test the decisions, computer simulations are used to reveal insights about design, demand elasticity, and the limits of response (including consumer fatigue). Agent-based approaches lend themselves well in the simulation to modeling the participation and interaction of each piece of equipment on a distribution feeder. This paper discusses rate design and simulation experiences at the distribution feeder level where consumers and their HVAC systems and water heaters on a feeder receive real-time pricing signals.

  11. Real Time Pricing and the Real Live Firm

    SciTech Connect (OSTI)

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

    2004-05-26T23:59:59.000Z

    Energy economists have long argued the benefits of real time pricing (RTP) of electricity. Their basis for modeling customers response to short-term fluctuations in electricity prices are based on theories of rational firm behavior, where management strives to minimize operating costs and optimize profit, and labor, capital and energy are potential substitutes in the firm's production function. How well do private firms and public sector institutions operating conditions, knowledge structures, decision-making practices, and external relationships comport with these assumptions and how might this impact price response? We discuss these issues on the basis of interviews with 29 large (over 2 MW) industrial, commercial, and institutional customers in the Niagara Mohawk Power Corporation service territory that have faced day-ahead electricity market prices since 1998. We look at stories interviewees told about why and how they respond to RTP, why some customers report that they can't, and why even if they can, they don't. Some firms respond as theorized, and we describe their load curtailment strategies. About half of our interviewees reported that they were unable to either shift or forego electricity consumption even when prices are high ($0.50/kWh). Reasons customers gave for why they weren't price-responsive include implicit value placed on reliability, pricing structures, lack of flexibility in adjusting production inputs, just-in-time practices, perceived barriers to onsite generation, and insufficient time. We draw these observations into a framework that could help refine economic theory of dynamic pricing by providing real-world descriptions of how firms behave and why.

  12. Design Evolution Study - Aging Options

    SciTech Connect (OSTI)

    P. McDaniel

    2002-04-05T23:59:59.000Z

    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.

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

    E-Print Network [OSTI]

    Deng, Yongheng; Quigley, John M.

    2008-01-01T23:59:59.000Z

    bias in repeat-sales home price indices. Freddie Mac workingpaper #0503. Index Revision, House Price Risk, and theMarket for House Price Derivatives Calhoun, C. A. (1996).

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

    E-Print Network [OSTI]

    Bolinger, Mark; Wiser, Ryan

    2004-01-01T23:59:59.000Z

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

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

    E-Print Network [OSTI]

    Bolinger, Mark; Wiser, Ryan

    2006-01-01T23:59:59.000Z

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

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

    E-Print Network [OSTI]

    Bolinger, Mark; Wiser, Ryan

    2005-01-01T23:59:59.000Z

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

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

    E-Print Network [OSTI]

    Bolinger, Mark A.

    2010-01-01T23:59:59.000Z

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

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

    E-Print Network [OSTI]

    Bolinger, Mark

    2009-01-01T23:59:59.000Z

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

  19. The Limitations of No-Arbitrage Arguments for Real Options

    E-Print Network [OSTI]

    Schachermayer, Walter

    is written on the price of some brand XYZ of crude oil. We assume that there is no liquid market ¢ and ¡¢ model two different brands of crude oil. The main result of the paper shows that in this case one cannot for this brand of crude oil (or, more realistically, for futures contracts on this brand), but there is some

  20. Forecourt Storage and Compression Options

    E-Print Network [OSTI]

    capital costs and maximize utilization NATURAL GAS & HYDROGEN FUELING STATION SIZING SOFTWARE Developed 510 520 530 540 Minutes Bank1 Bank2 Bank3 Cascade Banks Pressure Vs.Time (Hydrogen) #12;16 Compressor> Forecourt Storage and Compression Options DOE and FreedomCAR & Fuel Partnership Hydrogen Delivery

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

    E-Print Network [OSTI]

    Bolinger, Mark

    2008-01-01T23:59:59.000Z

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

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

    E-Print Network [OSTI]

    Kolstad, Jonathan; Wolak, Frank

    2003-01-01T23:59:59.000Z

    Environmental Emissions Permit Prices to Raise ElectricityEnvironmental Emissions Permit Prices to Raise Electricitythe conditions in the emissions permit market for oxides of

  3. Forecasting Prices andForecasting Prices and Congestion forCongestion for

    E-Print Network [OSTI]

    Tesfatsion, Leigh

    80 100 120 140 160 180 20 30 40 50 60 70 80 90 100 110 Hours Price($/MWh) ANN/ARMA Actual Price ANN 0

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

    E-Print Network [OSTI]

    Martin, Alexander; Pokutta, Sebastian

    2012-01-01T23:59:59.000Z

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

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

    SciTech Connect (OSTI)

    Camm, F.

    1983-03-01T23:59:59.000Z

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

  6. Need-based Communication for Smart Grid: When to Inquire Power Price?

    E-Print Network [OSTI]

    Li, Husheng

    2010-01-01T23:59:59.000Z

    In smart grid, a home appliance can adjust its power consumption level according to the realtime power price obtained from communication channels. Most studies on smart grid do not consider the cost of communications which cannot be ignored in many situations. Therefore, the total cost in smart grid should be jointly optimized with the communication cost. In this paper, a probabilistic mechanism of locational margin price (LMP) is applied and a model for the stochastic evolution of the underlying load which determines the power price is proposed. Based on this framework of power price, the problem of determining when to inquire the power price is formulated as a Markov decision process and the corresponding elements, namely the action space, system state and reward function, are defined. Dynamic programming is then applied to obtain the optimal strategy. A simpler myopic approach is proposed by comparing the cost of communications and the penalty incurred by using the old value of power price. Numerical resul...

  7. Essays on Price Dynamics.

    E-Print Network [OSTI]

    Hong, Gee Hee

    2012-01-01T23:59:59.000Z

    ??Standard macro models typically assume that producers sell goods directly to final consumers, while, in reality, the distribution network or vertical structure from a manufacturer (more)

  8. adjusted loan pricing: Topics by E-print Network

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

    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...

  9. 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.

    2008-01-01T23:59:59.000Z

    4 Calculation of Electricity Prices 4.1 Averageaverage seasonal and annual electricity prices by region inbased annual average electricity price vs. annual energy

  10. Edgeworth Price Cycles: Evidence from the Toronto Retail Gasoline Market

    E-Print Network [OSTI]

    Noel, Michael

    2004-01-01T23:59:59.000Z

    Johnson. Gas Wars: Retail Gasoline Price Fluctua- tions,Canadian cities, retail gasoline prices are very volatileset of twelve-hourly retail gasoline prices for 22 service

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

    E-Print Network [OSTI]

    Schulz-Mahlendorf, Wilko Ziggy

    2013-01-01T23:59:59.000Z

    National average retail gasoline prices peaked at over $so that average retail gasoline prices can be employed. Myrapid run-up in retail gasoline prices in recent history.

  12. Database Managament IS&M Option Mark Levene

    E-Print Network [OSTI]

    Levene, Mark

    Database Managament IS&M Option Mark Levene Email: m.levene@dcs.bbk.ac.uk Web: http://www.dcs.bbk.ac.uk/~mark/ Lecture Plan 1. Introduction to Databases 2. Data Modelling with the Entity-Relationship Model 3 and Referential Integrity 4. Querying a Relational Database (a) Querying a Single Table (b) Aggregating

  13. Home composting as an alternative treatment option for organic household waste in Denmark: An environmental assessment using life cycle assessment-modelling

    SciTech Connect (OSTI)

    Andersen, J.K.; Boldrin, A.; Christensen, T.H. [Department of Environmental Engineering, Technical University of Denmark, DK-2800 Kongens Lyngby (Denmark); Scheutz, C., E-mail: chas@env.dtu.dk [Department of Environmental Engineering, Technical University of Denmark, DK-2800 Kongens Lyngby (Denmark)

    2012-01-15T23:59:59.000Z

    An environmental assessment of the management of organic household waste (OHW) was performed from a life cycle perspective by means of the waste-life cycle assessment (LCA) model EASEWASTE. The focus was on home composting of OHW in Denmark and six different home composting units (with different input and different mixing frequencies) were modelled. In addition, incineration and landfilling was modelled as alternatives to home composting. The most important processes contributing to the environmental impact of home composting were identified as greenhouse gas (GHG) emissions (load) and the avoided emissions in relation to the substitution of fertiliser and peat when compost was used in hobby gardening (saving). The replacement of fertiliser and peat was also identified as one of the most sensible parameters, which could potentially have a significant environmental benefit. Many of the impact categories (especially human toxicity via water (HTw) and soil (HTs)) were affected by the heavy metal contents of the incoming OHW. The concentrations of heavy metals in the compost were below the threshold values for compost used on land and were thus not considered to constitute a problem. The GHG emissions were, on the other hand, dependent on the management of the composting units. The frequently mixed composting units had the highest GHG emissions. The environmental profiles of the home composting scenarios were in the order of -2 to 16 milli person equivalents (mPE) Mg{sup -1} wet waste (ww) for the non-toxic categories and -0.9 to 28 mPE Mg{sup -1} ww for the toxic categories. Home composting performed better than or as good as incineration and landfilling in several of the potential impact categories. One exception was the global warming (GW) category, in which incineration performed better due to the substitution of heat and electricity based on fossil fuels.

  14. The Incremental Benefits of the Nearest Neighbor Forecast of U.S. Energy Commodity Prices

    E-Print Network [OSTI]

    Kudoyan, Olga

    2012-02-14T23:59:59.000Z

    This thesis compares the simple Autoregressive (AR) model against the k- Nearest Neighbor (k-NN) model to make a point forecast of five energy commodity prices. Those commodities are natural gas, heating oil, gasoline, ethanol, and crude oil...

  15. Mortgage default and student outcomes, the solar home price premium, and the magnitude of housing price declines

    E-Print Network [OSTI]

    Dastrup, Samuel R.

    2011-01-01T23:59:59.000Z

    effect of falling home prices on small business borrowing,2 Understanding the Solar Home Price Premium: Electricitysocial influences on price, Journal of Political Economy,

  16. Diesel prices continue to decrease

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsruc DocumentationP-Series to UserProduct: CrudeOfficeNERSC Helps DevelopDiesel pricesDiesel prices

  17. Dynamic Pricing For Efficient Workload Colocation VATCHE ISHAKIAN RAYMOND SWEHA AZER BESTAVROS JONATHAN APPAVOO

    E-Print Network [OSTI]

    Dynamic Pricing For Efficient Workload Colocation VATCHE ISHAKIAN RAYMOND SWEHA AZER BESTAVROS, Boston University Boston, MA 02215, USA Abstract--Pricing models for virtualized (cloud) resources incurred by cloud providers are dynamic ­ they vary over time, depending on factors such as energy cost

  18. The landscape from home: a GIS-based hedonic price valuation1

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    1 The landscape from home: a GIS-based hedonic price valuation1 Jean Cavailhès , , Thierry Brossard , Pierre Wavresky May 2, 2007 Abstract We estimate the hedonic price of landscape seen from houses by geographic methods from satellite images and from a digital elevation model. The landscape attributes

  19. Energy prices, production

    E-Print Network [OSTI]

    Bonilla, David

    This paper investigates economic incentives influencing the adoption of energy saving technology by industry, namely, CHP in UK and Dutch manufacturing sectors. The empirical analysis is based on a cross sectional time series econometric model...

  20. Characterizing the Response of Commercial and Industrial Facilities to Dynamic Pricing Signals from the Utility

    SciTech Connect (OSTI)

    Mathieu, Johanna L.; Gadgil, Ashok J.; Callaway, Duncan S.; Price, Phillip N.; Kiliccote, Sila

    2010-07-01T23:59:59.000Z

    We describe a method to generate statistical models of electricity demand from Commercial and Industrial (C&I) facilities including their response to dynamic pricing signals. Models are built with historical electricity demand data. A facility model is the sum of a baseline demand model and a residual demand model; the latter quantifies deviations from the baseline model due to dynamic pricing signals from the utility. Three regression-based baseline computation methods were developed and analyzed. All methods performed similarly. To understand the diversity of facility responses to dynamic pricing signals, we have characterized the response of 44 C&I facilities participating in a Demand Response (DR) program using dynamic pricing in California (Pacific Gas and Electric's Critical Peak Pricing Program). In most cases, facilities shed load during DR events but there is significant heterogeneity in facility responses. Modeling facility response to dynamic price signals is beneficial to the Independent System Operator for scheduling supply to meet demand, to the utility for improving dynamic pricing programs, and to the customer for minimizing energy costs.