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


1

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

E-Print Network [OSTI]

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

Jaimungal, Sebastian

2

Introduction Modelling in finance Risk measures Pricing via risk measures Option Pricing and Hedging via Risk Measures  

E-Print Network [OSTI]

, then the risk is acceptable. When positive, (X) is the minimum extra cash the agent has to add to her portfolio X to make the risk acceptable. Ove G¨ottsche University of Twente Option Pricing and Hedging viaIntroduction Modelling in finance Risk measures Pricing via risk measures Option Pricing

Al Hanbali, Ahmad

3

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

E-Print Network [OSTI]

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

Howison, Sam

4

A Gaussian Approximation Scheme for Computation of Option Prices in Stochastic Volatility Models 1  

E-Print Network [OSTI]

perform well on simulated joint price and options data that follow the log-linear stocastic volatility of Mathematics University of Alabama Tuscaloosa AL, 35487-0350. February 2007 1Research supported by National process that follows the log-linear stochastic volatil- ity model. There are three stochastic integrals

Ji, Chuanshu

5

Equilibrium pricing bounds on option prices Marie Chazala  

E-Print Network [OSTI]

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

Boyer, Edmond

6

Rolling Up a Put Option as Prices Increase  

E-Print Network [OSTI]

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...

Johnson, Jason; Polk, Wade

2008-10-07T23:59:59.000Z

7

Option pricing and foreign investment under political risk  

Science Journals Connector (OSTI)

The paper analyses asset prices in a context of uncertainty over future government policy. As current policy is maintained, perceived risk abates thus leading to a gradual appreciation of asset prices and a gradual decrease in their conditional variance. Option values computed under this process have time series and the term structure of conditional volatility, which, in general, are downward sloping. In price series without a policy reversal, implied volatility from option prices will exceed actual volatility, with this wedge progressively disappearing. This may be viewed as the volatility analogue of the ‘peso premium’ for assets subject to large, infrequent price drops.

Joseph A. Cherian; Enrico Perotti

2001-01-01T23:59:59.000Z

8

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

E-Print Network [OSTI]

Mar 19, 2007 ... and Ghaoui [1], describes ?i by a known set of call option prices for a .... 1. Mr max p?P. (wpr · xri ? zpr)), or equivalently the linear program:.

2007-03-19T23:59:59.000Z

9

Expected annual electricity bill savings for various PPA price options |  

Open Energy Info (EERE)

Expected annual electricity bill savings for various PPA price options Expected annual electricity bill savings for various PPA price options Jump to: navigation, search Impact of Utility Rates on PV Economics Bill savings tables (main section): When evaluating PV systems under a PPA, it is important to look at the net effect on the building's annual electricity expense. If the solar value is greater than the PPA price, then the building will realize a net savings on annual energy expenses. If the solar value is less than the PPA price, then the building will realize a net loss. It is useful to understand how annual electricity expenses will be impacted at various PPA price levels. Bill Savings at PPA price of $0.04/kWhr Bill Savings at PPA price of $0.08/kWhr Bill Savings at PPA price of $0.12/kWhr Retrieved from "http://en.openei.org/w/index.php?title=Expected_annual_electricity_bill_savings_for_various_PPA_price_options&oldid=515464"

10

On theoretical pricing of options with fuzzy estimators  

Science Journals Connector (OSTI)

In this paper we present an application of a new method of constructing fuzzy estimators for the parameters of a given probability distribution function, using statistical data. This application belongs to the financial field and especially to the section ... Keywords: Adaptive fuzzy numbers, Black-Scholes option pricing formula, Fuzzy estimators, Fuzzy volatility, Possibilistic mean

Konstantinos A. Chrysafis; Basil K. Papadopoulos

2009-01-01T23:59:59.000Z

11

An option pricing theory explanation of the invasion of Kuwait  

SciTech Connect (OSTI)

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

Muhtaseb, M.R.

1995-12-31T23:59:59.000Z

12

POWER '99 Conference 1 Stochastic Models of Electricity Spot Price  

E-Print Network [OSTI]

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

California at Berkeley. University of

13

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

E-Print Network [OSTI]

Pricing of American retail options Christina Burton, McKay Heasley, Jeffrey Humpherys, Jialin Li and controlling inventories in a retail market. We propose a new class of American put option contracts on inventories of retail goods, where the retailer can exercise the option at any time during the contract period

Humpherys, Jeffrey

14

Multi-Factor Energy Price Models Exotic Derivatives Pricing  

E-Print Network [OSTI]

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

Jaimungal, Sebastian

15

Real Option Pricing with Mean-Reverting Investment and Project Value  

E-Print Network [OSTI]

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

Zubelli, Jorge Passamani

16

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 13, 2010 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

Boyer, Edmond

17

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

18

Pricing European Barrier Options Peter W.Buchen  

E-Print Network [OSTI]

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

Sydney, University of

19

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

E-Print Network [OSTI]

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 ...

2013-01-02T23:59:59.000Z

20

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

E-Print Network [OSTI]

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

McCarl, Bruce A.

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


21

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

E-Print Network [OSTI]

UNLV Student Recreation and Wellness Center Access Options and Price List for Conference Housing Guests As a Conference Housing guests, you may access the UNLV Student Recreation and Wellness Center purchase. Guests must read and acknowledge receipt of the Student Recreation and Wellness Center Liability

Hemmers, Oliver

22

Recovering volatility from option prices by evolutionary optimization  

E-Print Network [OSTI]

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

Cont, Rama

23

Recovering volatility from option prices by evolutionary optimization  

E-Print Network [OSTI]

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

Del Moral , Pierre

24

Attachment 6 Volume V Pricing Matrix for Optional Enhancements.xls  

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

6 6 VOLUME V Logistics Services A-76 Study - Service Provider Price Offer for Optional Enhancement, Volume V. Service Provider Name: GSA Schedule Contract Number: Expiration Date of GSA Schedule Contract: 1. PRIME SERVICE PROVIDER COMMERCIAL DISCOUNT ATO FEDERAL OR BASE LABOR PERCENTAGE COMMERCIAL PROPOSED TOTAL GSA LABOR RATE RATE/HOUR FROM GSA RATE BURDENED RATE HOURS PROPOSED COST SUBTOTAL $ 2. TEAM MEMBER (Subcontractor) COMMERCIAL DISCOUNT ATO FEDERAL OR BASE LABOR PERCENTAGE COMMERCIAL PROPOSED TOTAL GSA LABOR RATE RATE/HOUR FROM GSA RATE BURDENED RATE HOURS PROPOSED COST SUBTOTAL $ 3. OTHER DIRECT COST Must be applied by both the commercial service provider and the ATO $ -0- Approved G&A or Material Handling Rate % $ TOTAL PROPOSED COST $ PRICE MATRIX OPTIONAL ENHANCEMENT NUMBER ___________

25

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, swing options arise as powerful tools for modeling supply contracts [14]. In such an agreement between

26

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

E-Print Network [OSTI]

??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)

Grimstad, Dan

2007-01-01T23:59:59.000Z

27

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

E-Print Network [OSTI]

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

Topaloglu, Huseyin

28

Maximum Utility Product Pricing Models and Algorithms Based on Reservation Prices  

E-Print Network [OSTI]

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

Tunçel, Levent

29

Modelling oil price volatility with structural breaks  

Science Journals Connector (OSTI)

In this paper, we provide two main innovations: (i) we analyze oil prices of two prominent markets namely West Texas Intermediate (WTI) and Brent using the two recently developed tests by Narayan and Popp (2010) and Liu and Narayan, 2010 both of which allow for two structural breaks in the data series; and (ii) the latter method is modified to include both symmetric and asymmetric volatility models. We identify two structural breaks that occur in 1990 and 2008 which coincidentally correspond to the Iraqi/Kuwait conflict and the global financial crisis, respectively. We find evidence of persistence and leverage effects in the oil price volatility. While further extensions can be pursued, the consideration of asymmetric effects as well as structural breaks should not be jettisoned when modelling oil price volatility.

Afees A. Salisu; Ismail O. Fasanya

2013-01-01T23:59:59.000Z

30

A NONGAUSSIAN ORNSTEINUHLENBECK PROCESS FOR ELECTRICITY SPOT PRICE MODELING AND  

E-Print Network [OSTI]

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

Kallsen, Jan

31

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

E-Print Network [OSTI]

, producing price spikes. We focus on pricing and hedging electricity derivatives. The hedging instruments for futures prices and semi-explicit formulae for spread options and European options on electricity for- ward contracts. An analysis of the electricity price risk premium is provided showing the contribution of demand

32

Modelling spot and forward prices for energy companies  

E-Print Network [OSTI]

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

Bhulai, Sandjai

33

Practical stochastic modelling of electricity prices Michel Culot  

E-Print Network [OSTI]

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

Paris-Sud XI, Université de

34

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

35

A FORECAST MODEL OF AGRICULTURAL AND LIVESTOCK PRODUCTS PRICE  

E-Print Network [OSTI]

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

Boyer, Edmond

36

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

E-Print Network [OSTI]

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.

Sebastian Jaimungal; Yuri Lawryshyn

37

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

E-Print Network [OSTI]

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

Kulkarni, Siddhivinayak

2009-01-01T23:59:59.000Z

38

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

E-Print Network [OSTI]

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

Kelsey Barton; Yuri Lawryshyn

39

A joint optimal pricing, rebate value, and lot sizing model  

Science Journals Connector (OSTI)

Delayed incentives in the form of mail-in cash rebates are very popular among manufacturers, and more recently, among retailers. One of the main advantages of rebates is that while they increase demand, a small proportion of consumers redeem them. In this paper, we formulate and solve models for jointly determining the optimal price, rebate face value, and the optimal order quantity for a price and rebate sensitive deterministic demand. The models show that under realistic conditions, offering rebates can have significant pricing and inventory policy implications and can lead to a significant increase in profit.

Moutaz Khouja

2006-01-01T23:59:59.000Z

40

A nonparametric GARCH model of crude oil price return volatility  

Science Journals Connector (OSTI)

The use of parametric GARCH models to characterise crude oil price volatility is widely observed in the empirical literature. In this paper, we consider an alternative approach involving nonparametric method to model and forecast oil price return volatility. Focusing on two crude oil markets, Brent and West Texas Intermediate (WTI), we show that the out-of-sample volatility forecast of the nonparametric GARCH model yields superior performance relative to an extensive class of parametric GARCH models. These results are supported by the use of robust loss functions and the Hansen's (2005) superior predictive ability test. The improvement in forecasting accuracy of oil price return volatility based on the nonparametric GARCH model suggests that this method offers an attractive and viable alternative to the commonly used parametric GARCH models.

Aijun Hou; Sandy Suardi

2012-01-01T23:59:59.000Z

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


41

Efficient Modeling and Forecasting of Electricity Spot Prices  

Science Journals Connector (OSTI)

Abstract The increasing importance of renewable energy, especially solar and wind power, has led to new forces in the formation of electricity prices. Hence, this paper introduces an econometric model for the hourly time series of electricity prices of the European Power Exchange (EPEX) which incorporates specific features like renewable energy. The model consists of several sophisticated and established approaches and can be regarded as a periodic VAR-TARCH with wind power, solar power, and load as influences on the time series. It is able to map the distinct and well-known features of electricity prices in Germany. An efficient iteratively reweighted lasso approach is used for the estimation. Moreover, it is shown that several existing models are outperformed by the procedure developed in this paper.

Florian Ziel; Rick Steinert; Sven Husmann

2014-01-01T23:59:59.000Z

42

An Empirical Pricing Model for Renewable Energy Source  

Science Journals Connector (OSTI)

The characteristics of the renewable energy source make itself the Chinese energy strategy and the most important way to develop the low carbon mode. Therefore, the renewable energy is the only way for China to resolve the energy clearance and sustainable ... Keywords: pricing model, renewable energy source, marginal cost analysis

Bai Xueyan

2012-05-01T23:59:59.000Z

43

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...

44

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

E-Print Network [OSTI]

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

Kallsen, Jan

45

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

E-Print Network [OSTI]

A STRUCTURAL MODEL FOR ELECTRICITY PRICES RENE CARMONA, MICHAEL COULON, AND DANIEL SCHWARZ Abstract pricing in electricity markets, thus extending the growing branch of liter- ature which describes power prices for electricity. We capture both the heavy-tailed nature of spot prices and the complex dependence

Carmona, Rene

46

Electricity price modeling and asset valuation: a multi-fuel structural approach  

Science Journals Connector (OSTI)

We introduce a new and highly tractable structural model for spot and derivative prices in electricity markets. Using a stochastic model ... we translate the demand for power and the prices of generating fuels in...

René Carmona; Michael Coulon; Daniel Schwarz

2013-03-01T23:59:59.000Z

47

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

E-Print Network [OSTI]

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

Lee, Chi-Guhn

48

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

49

The Window Strategy with Options  

E-Print Network [OSTI]

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...

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

1999-06-23T23:59:59.000Z

50

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

E-Print Network [OSTI]

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

Powell, Warren B.

51

A model to evaluate the effects of price fairness perception in online hotel booking  

Science Journals Connector (OSTI)

Research on consumer and market behavior related to prices has increased remarkably in recent years. Researchers have paid special attention to the effects of price perception in consumer purchasing processes. In this paper a model of antecedents and ... Keywords: Antecedents, Consequences, Online hotel booking, Price fairness

María-Encarnación Andrés-Martínez, Miguel-Ángel Gómez-Borja, Juan-Antonio Mondéjar-Jiménez

2014-06-01T23:59:59.000Z

52

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

E-Print Network [OSTI]

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

Paris-Sud XI, Université de

53

Modeling and Analysis of Price-Responsive Loads in the Operation of Smart Grids.  

E-Print Network [OSTI]

??In this thesis, a demand elasticity model is developed and tested for the dispatch of high voltage power systems and microgrids. The price obtained from… (more)

Ramos-Gaete, Felipe

2013-01-01T23:59:59.000Z

54

Optimal Execution Under Jump Models For Uncertain Price Impact  

E-Print Network [OSTI]

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.

Somayeh Moazeni

2012-08-13T23:59:59.000Z

55

Stochastic Modeling and Analysis of Energy Commodity Spot Price Processes.  

E-Print Network [OSTI]

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

Otunuga, Olusegun Michael

2014-01-01T23:59:59.000Z

56

Futures pricing in electricity markets based on stable CARMA spot models  

E-Print Network [OSTI]

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

Gerkmann, Ralf

57

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

E-Print Network [OSTI]

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

Powell, Warren B.

58

Co-op advertising and pricing models in manufacturerretailer supply chains Jinxing Xie *, Alexandre Neyret  

E-Print Network [OSTI]

Co-op advertising and pricing models in manufacturer­retailer supply chains Jinxing Xie August 2008 Available online 12 September 2008 Keywords: Co-op advertising Pricing Supply chain Game theory a b s t r a c t Cooperative (co-op) advertising plays a significant role in marketing programs

Xie, Jinxing

59

Wireless Network Capacity Management: A Real Options Approach  

E-Print Network [OSTI]

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

Forsyth, Peter A.

60

Modelling the oil price–exchange rate nexus for South Africa  

Science Journals Connector (OSTI)

Abstract This paper conducts an empirical analysis of the relationship between oil prices and exchange rates in South Africa. We model the volatility and jumps in exchange rate returns by using the GARCH autoregressive conditional jump intensity model of Chan and Maheu which models the effects of extreme news events (jumps) in returns. The empirical results show that oil price increases lead to a depreciation of the South African rand relative to the US dollar.

Babajide Fowowe

2014-01-01T23:59:59.000Z

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


61

Modelling and forecasting fossil fuels, CO2 and electricity prices and their volatilities  

Science Journals Connector (OSTI)

In the current uncertain context that affects both the world economy and the energy sector, with the rapid increase in the prices of oil and gas and the very unstable political situation that affects some of the largest raw materials’ producers, there is a need for developing efficient and powerful quantitative tools that allow to model and forecast fossil fuel prices, CO2 emission allowances prices as well as electricity prices. This will improve decision making for all the agents involved in energy issues. Although there are papers focused on modelling fossil fuel prices, CO2 prices and electricity prices, the literature is scarce on attempts to consider all of them together. This paper focuses on both building a multivariate model for the aforementioned prices and comparing its results with those of univariate ones, in terms of prediction accuracy (univariate and multivariate models are compared for a large span of days, all in the first 4 months in 2011) as well as extracting common features in the volatilities of the prices of all these relevant magnitudes. The common features in volatility are extracted by means of a conditionally heteroskedastic dynamic factor model which allows to solve the curse of dimensionality problem that commonly arises when estimating multivariate GARCH models. Additionally, the common volatility factors obtained are useful for improving the forecasting intervals and have a nice economical interpretation. Besides, the results obtained and methodology proposed can be useful as a starting point for risk management or portfolio optimization under uncertainty in the current context of energy markets.

Carolina García-Martos; Julio Rodríguez; María Jesús Sánchez

2013-01-01T23:59:59.000Z

62

Pricing and Proposal Model for the SNOW Automobile  

E-Print Network [OSTI]

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...

Henry, Shawn P.

2012-07-27T23:59:59.000Z

63

Artificial Neural Network Model for Forecasting the Stock Price of Indian IT Company  

Science Journals Connector (OSTI)

The central issue of the study is to model the movement of stock price for Indian Information Technology (IT) companies. It has been observed that IT industry has some promising role in Indian economy. We apply t...

Joydeep Sen; Arup K. Das

2014-01-01T23:59:59.000Z

64

Price Responsive Demand in New York Wholesale Electricity Market using  

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

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

65

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

E-Print Network [OSTI]

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...

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

2011-01-01T23:59:59.000Z

66

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

Science Journals Connector (OSTI)

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

Najeh Chaâbane; Foued Saâdaoui; Saloua Benammou

2012-01-01T23:59:59.000Z

67

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

Science Journals Connector (OSTI)

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

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

2014-01-01T23:59:59.000Z

68

Milk Futures, Options and Basis  

E-Print Network [OSTI]

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

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

2001-10-12T23:59:59.000Z

69

Approximating European Options by Rebate Barrier Options  

E-Print Network [OSTI]

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

Song, Qingshuo

2011-01-01T23:59:59.000Z

70

Groundwater pollution from agrochemicals — A dynamic model of externalities and policy options  

Science Journals Connector (OSTI)

A dynamic model of groundwater pollution from intensive agrochemical use is developed in this paper to capture the possible externalities and analyze various policy options in protecting groundwater resources. Fo...

Suresh Chandra Babu; B. Thirumalai Nivas; B. Rajasekaran

1992-01-01T23:59:59.000Z

71

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

E-Print Network [OSTI]

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

Topaloglu, Huseyin

72

Modelling the environmental impact of an aluminium pressure die casting plant and options for control  

Science Journals Connector (OSTI)

This study describes a model (MIKADO) to analyse options to reduce the environmental impact of aluminium die casting. This model will take a company perspective, so that it can be used as a decision-support tool for the environmental management of a ... Keywords: Aluminium die casting plant, Environmental decision-support tool, Environmental impact assessment, Integrated Assessment Model, Modelling

Belmira Neto; Carolien Kroeze; Leen Hordijk; Carlos Costa

2008-02-01T23:59:59.000Z

73

Prices and Price Setting.  

E-Print Network [OSTI]

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

R.P. Faber (Riemer)

2010-01-01T23:59:59.000Z

74

Markov-Switching models and resultant equity implied volatility surfaces: a South African application.  

E-Print Network [OSTI]

??Includes abstract. Standard Geometric Brownian Motion is the stock model underlying Black-Scholes famous option pricing formula. There are however numerous problems with this stock model… (more)

Fairbrother, Mark.

2012-01-01T23:59:59.000Z

75

A Non-Gaussian Stock Price Model: Options, Credit and a Multi-Timescale Memory  

Science Journals Connector (OSTI)

......Scholes M. Journal of Political Economy (1973) 81...143. 3) Dupire B. Risk (1994) 7:18. 4...Scholes, Journal of Political Economy 81 (1973...143. 3) B. Dupire, Risk 7 (1994), 18. 4) E. Derman and I. Kani, Risk 7 (1994), 32. 5......

Lisa Borland

2006-02-01T23:59:59.000Z

76

A Non-Gaussian Stock Price Model: Options, Credit and a Multi-Timescale Memory  

Science Journals Connector (OSTI)

......spread of this return over the risk-free rate r is called the...r. Basically, a CDS is an insurance against default. For example...and M. Scholes, Journal of Political Economy 81 (1973), 637...143. 3) B. Dupire, Risk 7 (1994), 18. 4) E. Derman......

Lisa Borland

2006-02-01T23:59:59.000Z

77

Risk-Neutral Models for Emission Allowance Prices and Option Valuation  

Science Journals Connector (OSTI)

The existence of mandatory emission trading schemes in Europe and the United States, and the increased liquidity of trading on futures contracts on CO2 emissions allowances, led naturally to the next step in the development of these markets: ... Keywords: cap-and-trade schemes, emission derivatives, emissions markets, environmental finance

René Carmona; Juri Hinz

2011-08-01T23:59:59.000Z

78

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

E-Print Network [OSTI]

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.

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

2012-01-01T23:59:59.000Z

79

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

E-Print Network [OSTI]

??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)

Avci, Mesut

2013-01-01T23:59:59.000Z

80

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

E-Print Network [OSTI]

, Peter Fritzson1,2 1 School ITEE, University of Queensland, Australia 2 PELAB, Department of ComputerModeling of CO2 Reduction Impacts on Energy Prices with Modelica Philip Machanick1 , Ariel Liebman1 at the ap- propriate rate. In this paper we present a Modelica model which explores the trade

Machanick, Philip

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


81

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...

82

Demand-Side Management (DSM) Opportunities as Real-Options  

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

Demand-Side Management (DSM) Opportunities as Real-Options Demand-Side Management (DSM) Opportunities as Real-Options Speaker(s): Osman Sezgen Date: August 1, 2002 - 12:00pm Location: Bldg. 90 Seminar Host/Point of Contact: Kristina LaCommare As some end-users of energy and aggregators are choosing to be exposed to real-time prices and energy price volatility, they are coming across new DSM opportunities that would not be feasible under typical utility rate structures. Effective evaluation of such opportunities requires a good understanding of the wholesale energy markets and the use of models based on recent financial techniques for option pricing. The speaker will give examples of such modeling approaches based on his experience in the retail-energy industry. Specific examples will include evaluation of distributed generation, load curtailment, dual-fuel cooling, and energy

83

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

Science Journals Connector (OSTI)

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

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

2011-01-01T23:59:59.000Z

84

System Advisor Model Includes Analysis of Hybrid CSP Option ...  

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

Several novel concepts related to power generation have been missing in the System Advisor Model (SAM). One such concept, until now, is a hybrid integrated solar combined-cycle...

85

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

Reports and Publications (EIA)

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.

2003-01-01T23:59:59.000Z

86

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

E-Print Network [OSTI]

Reduced form electricity spot price modeling with a view towards spike risk Prof. Dr. Meyer. Februar 2010, 16:15 Uhr Seminarraum, LudwigstraÃ?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

Gerkmann, Ralf

87

Exploring the usefulness of a simple linear regression model for understanding price movements of selected recycled materials in the UK  

Science Journals Connector (OSTI)

The price volatility of recycled materials exposes many different organisations to financial and regulatory risk. These risks can be partially mitigated by improved understanding of price volatility using econometric models, although these have tended to be sophisticated autoregressive models, beyond the analytical capability or cost structure of the average market participant. In this context, this study explores the use of a simple linear regression model to understand the behaviour of prices for recycled plastic, recovered paper and glass, based on the price of their primary inputs, with a specific focus on the UK market. The results of the simple regression model are compared with a wavelet analysis to determine what information is lost in the trade off with simplicity. Both models found significant relationships between the price of crude oil/ethylene/naphtha and recycled plastics and it appears that there is no loss in model performance by using oil as the explanatory variable, rather than direct inputs (ethylene/naphtha). However, few correlations were found for recovered paper and glass. Initial findings from the wavelet analysis suggest that since 2004 the oil price has become more closely linked to the price of recycled plastics. It must be noted that this study is exploratory and particular dynamics of UK markets for recycled materials may affect price development in a way that would not be repeated on international markets.

A. Angus; M. Rivas Casado; D. Fitzsimons

2012-01-01T23:59:59.000Z

88

The Constellation-X RGS options: Raytrace Modeling of the Off-plane Gratings  

E-Print Network [OSTI]

The Constellation-X RGS options: Raytrace Modeling of the Off-plane Gratings K.A. Flanagan, J The Reflection Grating Spectrometer of the Constellation-X mission has two strong candidate configurations resolving powers in excess of 1000 (defined with half-energy width) are achievable for sufficiently long

89

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

90

Comparative evaluation of various energy options using qualitative multi-attribute models  

E-Print Network [OSTI]

indicators Our approach Topic Specification; unit of measurement Understanding Specification; unitComparative evaluation of various energy options using qualitative multi-attribute models Branko national energy development policy appears regularly every 20-30 years; it may be triggered by special

Bohanec, Marko

91

2H2A Hydrogen Delivery Infrastructure Analysis Models and Conventional Pathway Options Analysis Results - Interim Report  

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

H2A Hydrogen Delivery Infrastructure Analysis Models and H2A Hydrogen Delivery Infrastructure Analysis Models and Conventional Pathway Options Analysis Results DE-FG36-05GO15032 Interim Report Nexant, Inc., Air Liquide, Argonne National Laboratory, Chevron Technology Venture, Gas Technology Institute, National Renewable Energy Laboratory, Pacific Northwest National Laboratory, and TIAX LLC May 2008 Contents Section Page Executive Summary ................................................................................................................... 1-9 Delivery Options ...................................................................................................................... 1-9 Evaluation of Options 2 and 3 ................................................................................................. 1-9

92

Price dynamics of crude oil and the regional ethylene markets  

Science Journals Connector (OSTI)

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

Mansur Masih; Ibrahim Algahtani; Lurion De Mello

2010-01-01T23:59:59.000Z

93

Modelling and forecasting Oman crude oil prices using Box-Jenkins techniques  

Science Journals Connector (OSTI)

The Box-Jenkins' Auto Regressive Integrated Moving Average (ARIMA) modelling approach has been applied for the time series analysis of monthly average prices of Oman crude oil taken over a period of 10 years. Several seasonal and non-seasonal ARIMA models were identified. These models were then estimated and compared for their adequacy using the significance of the parameter estimates, mean square errors and Modified Box-Pierce (Ljung-Box) Chi-Square statistic. Based on these criterion a multiplicative seasonal model of the form ARIMA (1,1,5)x(1,1,1) was recommended for short term forecasting.

M.I. Ahmad

2012-01-01T23:59:59.000Z

94

An agent based modeling approach for determining optimal price-rebate schemes  

Science Journals Connector (OSTI)

Delayed incentives in the form of cash mail-in rebates have become very popular. While some research has been conducted on consumer perception and behavior toward rebates, little research has been undertaken with respect to a seller’s optimal rebate strategy. We use an agent-based modeling approach for jointly determining optimal price and rebate value. This approach has been previously applied to pricing and can capture some aspects of the problem which are difficult to analyze using traditional mathematical modeling. The model indicates that rebates are much more profitable when their values are jointly determined with price. In addition, the profitability of rebates at a given time depends on past consumers’ experience with rebates and that consumers’ memory of their past rebate redemption behavior plays an important role in determining the profitability of rebates. Also, the analysis shows that agent-based modeling may provide an alternative method for analyzing problems in which interactions between participants in the systems, i.e. consumers, sellers, and regulating agencies, are important in determining the overall behavior of the system.

Moutaz Khouja; Mirsad Hadzikadic; Muhammad Adeel Zaffar

2008-01-01T23:59:59.000Z

95

A Non Parametric Model for the Forecasting of the Venezuelan Oil Prices  

E-Print Network [OSTI]

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.

Costanzo, Sabatino; Dehne, Wafaa; Prato, Hender

2007-01-01T23:59:59.000Z

96

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

E-Print Network [OSTI]

Capturing the Impact of Fuel Price on Jet Aircraft OperatingCapturing the Impact of Fuel Price on Jet Aircraft Operatingare in part due to fuel price uncertainty. To address this

Smirti Ryerson, Megan; Hansen, Mark

2009-01-01T23:59:59.000Z

97

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

E-Print Network [OSTI]

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

Pennycook, Steve

98

Average Commercial Price  

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

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

99

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

E-Print Network [OSTI]

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...

Mohaddes, Kamiar

2012-03-02T23:59:59.000Z

100

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

Science Journals Connector (OSTI)

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

Petter Skantze; Marija Ilic; Andrej Gubina

2004-10-01T23:59:59.000Z

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


101

Fundamentals Explain High Prices  

Gasoline and Diesel Fuel Update (EIA)

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

102

Capturing the impact of fuel price on jet aircraft operating costs with Leontief technology and econometric models  

Science Journals Connector (OSTI)

Investigation of the airline response to a fuel price increase is in effect an investigation of the role of variable interactions in aircraft cost models. We examine the impact of fuel price on aircraft costs and airline operational strategies by developing two classes of operating cost models for jet aircraft and comparing the results. The translog operating cost model is a flexible functional form that provides a detailed representation of the empirical relationship between fuel cost and operating cost, allowing for substitution, scale, aircraft age, and variable interactions to be captured. The simpler Leontief model assumes that inputs of a cost model must be used in fixed proportions regardless of their prices. While it does not capture variable interactions, the Leontief model is more transparent, requires fewer inputs, and allows the contribution of a single factor, such as fuel price, to operating cost to be more easily isolated. An analysis of the translog operating cost model reveals that as fuel price increases, airlines will take steps to use fuel more efficiently by leveraging other inputs; a comparison of the translog and the Leontief technology models, however, show that the potential for this supplier input substitution for fuel is rather modest. By building the two operating cost models and comparing their predictions, we illustrate a method to determine the prediction potential of a Leontief technology model and assess the importance of input substitution at the vehicle level.

Megan Smirti Ryerson; Mark Hansen

2013-01-01T23:59:59.000Z

103

Price Server System for Automated Critical Peak Pricing  

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

Price Server System for Automated Critical Peak Pricing Price Server System for Automated Critical Peak Pricing Speaker(s): David S. Watson Date: June 3, 2005 - 12:00pm Location: 90-3148 Overview of current California Energy Commission (CEC)/Demand Response Research Center (DRRC) Auto-CPP project: This summer, some select commercial CPP customers of PG&E will have the option of joining the Automated Critical Peak Pricing pilot. The pilot will have the same tariffs as standard CPP programs, but will include an added feature: automated shedding of electric loads. Through use of the Price Server System, day-ahead CPP event signals initiated by PG&E will ultimately cause electric loads to be automatically curtailed on commercial customer sites. These optional predetermined shed strategies will occur without

104

OVERVIEW OF CONTRACTING OPTIONS  

E-Print Network [OSTI]

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

Waliser, Duane E.

105

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

106

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]

1 The Resilience of the Indian Economy to Rising Oil Prices as a Validation Test for a Global., 2009, `The resilience of the Indian economy to rising oil prices as a validation test for a global so, it compares the modeled and observed responses of the Indian economy to the rise of oil price

Paris-Sud XI, Université de

107

An EOQ model for rebate value and selling-price-dependent demand rate with shortages  

Science Journals Connector (OSTI)

In this paper, we develop a deterministic purchasing inventory model for a single item over an infinite horizon. In addition, shortages are allowed and the unsatisfied demand is partially backlogged. The model is studied under the replenishment policy, shortages followed by inventory. The backlogging rate is any non-increasing function of the waiting time up to the next replenishment. The objective of this model is to maximise the Total Profit (TP), which includes sales revenue, purchase cost, the set-up cost, holding cost, rebate redemption cost, shortage cost and opportunity cost due to lost sales. Here, demand varies with price and rebate value. The existence and uniqueness of the proposed systems are examined. Finally, numerical examples are presented to determine the developed model and the solution procedure. Sensitivity analysis of the optimal solution with respect to major parameters is carried out. We propose a solution procedure to find the solution and obtain some managerial results by using sensitivity analysis.

M. Valliathal; R. Uthayakumar

2011-01-01T23:59:59.000Z

108

Steam-Methane Reformer Kinetic Computer Model with Heat Transfer and Geometry Options  

SciTech Connect (OSTI)

A kinetic computer model of a steam/methane reformer has been developed as a design and analytical tool for a fuel cell system's fuel conditioner. This model has reaction, geometry, flow arrangement, and heat transfer options. Model predictions have been compared to previous experimental data, and close agreement was obtained. Initially, the Leva-type, packed-bed, heat transfer correlations were used. However, calculations based upon the reacting, reformer gases indicate a considerably higher heat transfer coefficient for this reforme design. Data analysis from similar designs in the literature also shows this phenomenon. This is thought to be reaction-induced effect, brought about by the changing of gas composition, the increased gas velocity, the lower catalyst temperature during reaction, and the higher thermal and reaction gradients involved in compact fuel cell reformer designs. Future experimental work is planned to verify the model's predictions further.

Murray, A.P.; Snyder, T.S.

1985-04-01T23:59:59.000Z

109

Exploring the WTI crude oil price bubble process using the Markov regime switching model  

Science Journals Connector (OSTI)

Abstract The sharp volatility of West Texas Intermediate (WTI) crude oil price in the past decade triggers us to investigate the price bubbles and their evolving process. Empirical results indicate that the fundamental price of WTI crude oil appears relatively more stable than that of the market-trading price, which verifies the existence of oil price bubbles during the sample period. Besides, by allowing the WTI crude oil price bubble process to switch between two states (regimes) according to a first-order Markov chain, we are able to statistically discriminate upheaval from stable states in the crude oil price bubble process; and in most of time, the stable state dominates the WTI crude oil price bubbles while the upheaval state usually proves short-lived and accompanies unexpected market events.

Yue-Jun Zhang; Jing Wang

2014-01-01T23:59:59.000Z

110

A SURVEY OF COMMODITY MARKETS AND STRUCTURAL MODELS FOR ELECTRICITY PRICES  

E-Print Network [OSTI]

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

Carmona, Rene

111

A stochastic optimization model for gas retail with temperature scenarios and oil price parameters  

Science Journals Connector (OSTI)

......seller; the purchase price fixed by the shipper...whereas sell and purchase prices do not change during the...cooking or for cooking and heating, or for commercial activities...consider the influence of oil prices on the energy-related......

F. Maggioni; M. Bertocchi; R. Giacometti; M. T. Vespucci; M. Innorta; E. Allevi

2010-04-01T23:59:59.000Z

112

Valuation of exotic options in the framework of Levy processes  

SciTech Connect (OSTI)

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 market’s 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.

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

113

ELECTRICITY FORWARD PRICES: A High-Frequency Empirical Analysis  

E-Print Network [OSTI]

P. 2002. Modelling Electricity Prices: Interna- tionalSchwartz, E. 2002. Electricity Prices and Power Derivatives:for the hourly spot electricity prices reported by PJM.

Longstaff, Francis A; Wang, Ashley

2002-01-01T23:59:59.000Z

114

Electricity Forward Prices: A High-Frequency Empirical Analysis  

E-Print Network [OSTI]

P. 2002. Modelling Electricity Prices: Interna- tionalSchwartz, E. 2002. Electricity Prices and Power Derivatives:for the hourly spot electricity prices reported by PJM.

Longstaff, Francis; Wang, Ashley

2002-01-01T23:59:59.000Z

115

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

E-Print Network [OSTI]

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

Owen, Cynthia Jane

2012-06-07T23:59:59.000Z

116

A wavelet-based nonlinear ARDL model for assessing the exchange rate pass-through to crude oil prices  

Science Journals Connector (OSTI)

Abstract We investigate whether changes in the US dollar exchange rates of eighteen currencies help explain the movements in the price of crude oil by using a wavelet-based nonlinear autoregressive distributed lags model (W-NARDL). This model allows one to capture the short- and long-run nonlinearities while taking into account the potential of extreme movements and excluding the noise components of the underlying data. We find evidence of significant and asymmetric pass-through of exchange rates to oil prices in both the short and long run. In particular, the long-run negative changes in exchange rates (dollar depreciation) exert a greater impact on oil prices than do the long-run positive changes (dollar appreciation), even though the sign of the effect is commonly negative in most cases. Our results finally suggest that denoising the crude oil and exchange rate data is effective and necessary before their interactions can be analyzed.

Rania Jammazi; Amine Lahiani; Duc Khuong Nguyen

2014-01-01T23:59:59.000Z

117

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

Science Journals Connector (OSTI)

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

2014-01-01T23:59:59.000Z

118

H2A Hydrogen Delivery Infrastructure Analysis Models and Conventional Pathway Options Analysis Results- Interim Report  

Broader source: Energy.gov [DOE]

An in-depth comparative analysis of promising infrastructure options for hydrogen delivery and distribution to refueling stations from central, semi-central, and distributed production facilities.

119

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

E-Print Network [OSTI]

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

Oren, Shmuel S.

120

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 ...

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


121

Cheese Prices  

E-Print Network [OSTI]

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

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

2003-08-25T23:59:59.000Z

122

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

SciTech Connect (OSTI)

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.

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

123

Class Pricing  

E-Print Network [OSTI]

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

Wernerfelt, Birger

2008-01-15T23:59:59.000Z

124

Optimization Online - Robust management and pricing of LNG ...  

E-Print Network [OSTI]

Sep 14, 2011 ... Robust management and pricing of LNG contracts with cancellation options. Vincent Guigues (vguigues ***at*** impa.br) Claudia Sagastizábal ...

Vincent Guigues

2011-09-14T23:59:59.000Z

125

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

126

Financing Capture Ready Coal-Fired Power Plants in China by Issuing Capture Options  

E-Print Network [OSTI]

more economically with carbon dioxide capture and storage (CCS) technologies, however financing. Keywords: Capture Option, Capture Ready, Carbon Capture and Storage, Climate Change, Coal-fired Electricity;List of Abbreviations CAPM (Capital Asset Pricing Model) CCS (Carbon Capture and Storage) CEC (China

Aickelin, Uwe

127

Green Power Network: Green Pricing  

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

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

128

Modeling of Demand Side Management Options for Commercial Sector in Maharashtra  

Science Journals Connector (OSTI)

Abstract There has been an unbalance between demand and supply of electricity in Maharashtra, a shortage of 20% peak power was reported in year 2011-12. Demand side management (DSM) in the commercial sector (consuming about 12% of the state electricity) can help to bridge this gap. In this paper three DSM options namely global temperature adjustment (GTA), chilled water storage (CWS) and variable air volume system (VAVS) are evaluated to give potential energy savings and load shifting. Simulation of GTA model for a sample school building gave 21.3% saving in compressor work for a change of room settings from 23oC, 50% RH to 26oC, 40% RH. Model for CWS was simulated for an office building in Mumbai; the results showed a cooling load shifting of 1638TRh out of 2075TRh was possible with an optimum tank size of 450kl. Simulation of VAVS for a sample school building showed fan energy savings of 68% over CAVS.

Vishal Vadabhat; Rangan Banerjee

2014-01-01T23:59:59.000Z

129

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

SciTech Connect (OSTI)

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)

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

130

Policy Option for Hydrogen Vehicles and Infrastructure  

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

low CO 2 - H 2 pathways and efficient FCVs Policy Options for Early Transition Producer fuel payment 13 Experience with ethanol suggests that the price of gasoline is an...

131

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

Science Journals Connector (OSTI)

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

Nigel Meade

2010-01-01T23:59:59.000Z

132

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

E-Print Network [OSTI]

??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)

Zhou, Peng

2012-01-01T23:59:59.000Z

133

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

E-Print Network [OSTI]

(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...

Fariyibi, Festus Lekan

2006-10-30T23:59:59.000Z

134

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

E-Print Network [OSTI]

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

Paris-Sud XI, Université de

135

Energy policies in a macroeconomic model: an analysis of energy taxes when oil prices decline  

Science Journals Connector (OSTI)

Economic planners and policy-makers have been acquainted, in the last fifteen years, with unanticipated oil price increases. The energy economics literature is abundant ... rules that would mitigate the negative ...

P. Capros; P. Karadeloglou; G. Mentzas

1992-01-01T23:59:59.000Z

136

Lynn Price  

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

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

137

Forecast Prices  

Gasoline and Diesel Fuel Update (EIA)

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

138

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

SciTech Connect (OSTI)

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

Bolinger, Mark; Wiser, Ryan; Golove, William

2003-08-13T23:59:59.000Z

139

Average Residential Price  

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

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

140

Essays on Price Dynamics  

E-Print Network [OSTI]

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

Hong, Gee Hee

2012-01-01T23:59:59.000Z

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


141

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

E-Print Network [OSTI]

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

Bhowmick, Sandeep

2010-01-01T23:59:59.000Z

142

Joint pricing and inventory control under reference price effects.  

E-Print Network [OSTI]

??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)

Gimpl-Heersink, Lisa

2008-01-01T23:59:59.000Z

143

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

Science Journals Connector (OSTI)

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

David Young; Stephen Poletti; Oliver Browne

2014-01-01T23:59:59.000Z

144

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

E-Print Network [OSTI]

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 project’s 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.

Yuri Lawryshyn

145

Review Paper. Interest–rate term–structure pricing models: a review  

Science Journals Connector (OSTI)

...complex trader will enter a transaction with...Interest-rate term-structure pricing...evolution of the term structure of volatilities...More generally, the search for greater and greater...products. In broad terms, however, some...and issuers in search of `advantageous...

2004-01-01T23:59:59.000Z

146

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

E-Print Network [OSTI]

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

Liu, Wei

2013-05-08T23:59:59.000Z

147

A stochastic optimization model for gas retail with temperature scenarios and oil price parameters  

Science Journals Connector (OSTI)

......dealing with gas retail commercialization. We consider temperature...by a mean reverting process. Oil prices and exchange...indices; mean reverting process; stochastic programming...undergoing a liberalization process aiming at promoting...storage and wholesale commercialization, and local monopolistic......

F. Maggioni; M. Bertocchi; R. Giacometti; M. T. Vespucci; M. Innorta; E. Allevi

2010-04-01T23:59:59.000Z

148

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

Science Journals Connector (OSTI)

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

Petter Skantze; Marija Ilic; Andrej Gubina

2004-10-01T23:59:59.000Z

149

A pricing model for clearing end-of-season retail inventory Diwakar Gupta a  

E-Print Network [OSTI]

SKUs (stock-keeping units), mitigating market mediation costs in the retail of fashion goods has become for practitioners. For example, the penalty for choosing clearance price once and keeping it unchanged Executive Office of Ann Taylor Stores reported that 1996 markdown units were more than 40% of the inventory

Gupta, Diwakar

150

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

151

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

E-Print Network [OSTI]

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 ...

Jun, Mina

2007-01-01T23:59:59.000Z

152

Microsoft Word - Price Uncertainty Supplement.doc  

Gasoline and Diesel Fuel Update (EIA)

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

153

Microsoft Word - Price Uncertainty Supplement.doc  

Gasoline and Diesel Fuel Update (EIA)

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

154

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

E-Print Network [OSTI]

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

van der Meyden, Ron

155

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

Science Journals Connector (OSTI)

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

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

2009-11-01T23:59:59.000Z

156

A linguistic TOPSIS model to evaluate the sustainability of renewable energy options  

Science Journals Connector (OSTI)

Renewable Energy Sources (RES) could be used to reduce carbon emissions, decrease dependence on fossil fuels and meet energy policy objectives towards Sustainable Development (SD). However, appraising the RES options' contribution to SD is a complex task, considering the different aspects of SD and the uncertainty of related information. The paper's objective is to extend the numerical multicriteria method TOPSIS for processing linguistic data in the form of 2-tuples, so as to show how energy policy objectives towards SD and RES are assessed using linguistic variables. Moreover, the application of the proposed method to the Greek energy market is presented.

Haris Doukas; Charikleia Karakosta; John Psarras

2009-01-01T23:59:59.000Z

157

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

E-Print Network [OSTI]

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

Labahn, George

158

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

Science Journals Connector (OSTI)

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

Li Liu; Jieqiu Wan

2012-01-01T23:59:59.000Z

159

Optimizing E-tailer Profits and Customer Savings: Pricing Multistage Customized Online Bundles  

Science Journals Connector (OSTI)

Online retailing provides an opportunity for new pricing options that are not feasible in traditional retail settings. This paper proposes an interactive, dynamic pricing strategy from the perspective of customized bundling to derive savings for customers ... Keywords: bundling, customer budget, customized bundle, e-tailing, multistage dynamic pricing, nonlinear mixed-integer programming, online retailing, reservation price

Yuanchun Jiang; Jennifer Shang; Chris F. Kemerer; Yezheng Liu

2011-07-01T23:59:59.000Z

160

NREL: More Search Options  

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

More Search Options More Search Options Search More Search Options Site Map Printable Version The following options help you find information on the National Renewable Energy Laboratory site, locate NREL staff, browse publication and photograph collections, and see what hot topics other site visitors are looking for. Search the NREL Web Site Search Tip: use quotes to find exact phrases Example: "renewable energy" Tip: use plus signs to find results that contain all your search terms Example: +biodiesel +buses Search Help Find NREL Staff in the Employee Locator Search by first or last name: Search Select a search type Select your criteria Enter your search term Look at Recent Hot Topics Biomass HOMER (computer model) Hybrid Electric Vehicles Hydrogen and Fuel Cells Jobs PVWATTS (software)

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


161

Spot pricing of public utility services  

E-Print Network [OSTI]

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 ...

Bohn, Roger E.

1982-01-01T23:59:59.000Z

162

Prices & Trends  

Broader source: Energy.gov [DOE]

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

163

Valuation of Governmental Guarantee in BOT Project Finance with Real Option Analysis  

E-Print Network [OSTI]

, and calculating the guarantee agreements? contingency due to the complexity of option pricing theory and in considering the uncertainty of the underlying asset. Furthermore, in recent real option-related research that evaluate BOT investment projects...

Jun, Jae Bum

2010-01-14T23:59:59.000Z

164

Understanding Crude Oil Prices  

E-Print Network [OSTI]

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

Hamilton, James Douglas

2008-01-01T23:59:59.000Z

165

Understanding Crude Oil Prices  

E-Print Network [OSTI]

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

Hamilton, James Douglas

2008-01-01T23:59:59.000Z

166

Prices for Natural Gas | Open Energy Information  

Open Energy Info (EERE)

Prices for Natural Gas Prices for Natural Gas Jump to: navigation, search Tool Summary LAUNCH TOOL Name: Prices for Natural Gas Agency/Company /Organization: Google Sector: Energy Focus Area: Economic Development Resource Type: Software/modeling tools User Interface: Website Website: www.google.com/publicdata/explore?ds=m49d2j928087j_ Country: United States Web Application Link: www.google.com/publicdata/explore?ds=m49d2j928087j_ Cost: Free Northern America Prices for Natural Gas Screenshot References: Public Data Explorer[1] EIA[2] Logo: Prices for Natural Gas Prices for Natural Gas Dollars per Thousand Cubic Feet and Percent in U.S. Total Represented by the Price. Overview A graphing tool that displays prices for natural gas dollars per thousand cubic feet and percent in U.S. Total represented by the price, using data

167

American and Bermudan options in currency markets under proportional transaction costs  

E-Print Network [OSTI]

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.

Roux, Alet

2011-01-01T23:59:59.000Z

168

Financing Non-Residential Photovoltaic Projects: Options and Implications  

E-Print Network [OSTI]

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

Bolinger, Mark

2009-01-01T23:59:59.000Z

169

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

E-Print Network [OSTI]

??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)

Zhou, Li

2009-01-01T23:59:59.000Z

170

Price war with migrating customers Patrick Maille  

E-Print Network [OSTI]

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

Paris-Sud XI, Université de

171

Concrete Degradation Modeling in the Evaluation of Entombment as a Decommission Option  

E-Print Network [OSTI]

Materials Division, MS-8621, Gaithersburg, MD 20899 kenneth.snyder@nist.gov b Radiation Protection techniques, and computer modeling. All of these are incorporated into a coherent monitoring plan. I

Bentz, Dale P.

172

Fundamentals Explain High Crude Oil Prices  

Gasoline and Diesel Fuel Update (EIA)

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

173

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

174

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

E-Print Network [OSTI]

Automobile Prices, Gasoline Prices, and Consumer Demand for Fuel Economy Ashley Langer University evidence that automobile manufacturers set vehicle prices as if consumers respond to gasoline prices. We consumer preferences for fuel efficiency. Keywords: automobile prices, gasoline prices, environmental

Sadoulet, Elisabeth

175

Analysis of emission right prices in greenhouse gas emission trading via agent-based model  

Science Journals Connector (OSTI)

This paper proposes a participant nation model for international emission trading; adaptive agents are used to explore the conditions under which an emission trading market is successful. In this study, the participation nation models with and without ... Keywords: Agent-Based Modeling, Compliance Mechanism, Emissions Trading, Kyoto Protocol, Reinforcement Learning

Tomohiro Nakada; Keiki Takadama; Shigeyoshi Watanabe

2013-05-01T23:59:59.000Z

176

Managing Energy Price Risk with Derivatives  

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

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

177

Evaluating Domestic Hot Water Distribution System Options With Validated Analysis Models  

SciTech Connect (OSTI)

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.

Weitzel, E.; Hoeschele, M.

2014-09-01T23:59:59.000Z

178

Natural Gas Wellhead Price  

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

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

179

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

SciTech Connect (OSTI)

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.

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

2011-11-01T23:59:59.000Z

180

Modeling of Asymmetry between Gasoline and Crude Oil Prices: A Monte Carlo Comparison  

Science Journals Connector (OSTI)

An Engle–Granger two-step procedure is commonly used to estimate cointegrating vectors and consequently asymmetric error-correction models. This study uses Monte Carlo methods and demonstrates that the Engle–G...

Afshin Honarvar

2010-10-01T23:59:59.000Z

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


181

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...

182

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

Science Journals Connector (OSTI)

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

Wensheng Kang; Ronald A. Ratti; Kyung Hwan Yoon

2015-01-01T23:59:59.000Z

183

Valuation and Optimal Exercise Strategy of Electricity Swing Options.  

E-Print Network [OSTI]

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

Dalang, Robert C.

184

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

Science Journals Connector (OSTI)

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

Matteo Manera; Marcella Nicolini; Ilaria Vignati

2014-01-01T23:59:59.000Z

185

To regulate congestion with prices: an application of a repeated random utility model to outdoor recreation  

E-Print Network [OSTI]

recreation Mélody LEPLATa,b,c,1 , Philippe LE GOFFEb,c , Alain CARPENTIERb,c a ESC Bretagne Brest, 2 avenue for recreational areas. This generally leads to suboptimal equilibrium of visitation due to congestion externality equilibrium, random utility model, regulation, recreation de- mand. JEL classication codes : Q26,Q51 1

Boyer, Edmond

186

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

E-Print Network [OSTI]

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

Nagurney, Anna

187

Understanding Crude Oil Prices  

E-Print Network [OSTI]

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

Hamilton, James Douglas

2008-01-01T23:59:59.000Z

188

Steadying of oil prices  

Science Journals Connector (OSTI)

Oil prices have fallen below the 30 dollar mark ... in the lower half of OPEC’s target price band. Will OPEC manage to maintain high prices and revenues by restricting production?

Klaus Matthies

189

Diesel prices flat  

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

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

190

Diesel prices decrease  

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

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

191

Diesel prices increase  

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

Diesel prices increase The U.S. average retail price for on-highway diesel fuel rose to 3.90 a gallon on Monday. That's up 3 cents from a week ago, based on the weekly price...

192

Diesel prices decrease  

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

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

193

Diesel prices decrease  

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

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

194

Diesel prices decrease  

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

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

195

Diesel prices decrease  

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

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

196

Oil prices and exchange rates in oil-exporting countries: evidence from TAR and M-TAR models  

Science Journals Connector (OSTI)

The paper studies the long-run relation and short-run dynamics between real oil prices and real exchange rates in a sample of 13 oil-exporting countries. The purpose of the study ... countries, we also find that ...

Hassan Mohammadi; Mohammad R. Jahan-Parvar

2012-07-01T23:59:59.000Z

197

Single-Product Pricing via Robust Optimization  

E-Print Network [OSTI]

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

2006-01-30T23:59:59.000Z

198

Credit Price Optimisation within Retail Banking  

E-Print Network [OSTI]

Ferguson (2007) bid-response models are presented for customised ... retail credit that is likely to have a significant impact on pricing, see Stiglitz and Weiss (

2013-10-25T23:59:59.000Z

199

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

E-Print Network [OSTI]

Moreover, the coking coal prices peak in 2009 to above $between China Coking Coal Price and China Steel ProductionVolume China Coking Coal Prices (24) (2005 $/ton) (Mtonnes)

Karali, Nihan

2014-01-01T23:59:59.000Z

200

Customer Strategies for Responding to Day-Ahead Market HourlyElectricity Pricing  

SciTech Connect (OSTI)

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

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

2005-08-25T23:59:59.000Z

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


201

Retail Price Changes Lag Spot Prices  

Gasoline and Diesel Fuel Update (EIA)

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

202

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...

203

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...

204

CHEMICAL MARKET PRICES  

Science Journals Connector (OSTI)

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

1941-11-10T23:59:59.000Z

205

CHEMICAL MARKET PRICES  

Science Journals Connector (OSTI)

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

1941-01-10T23:59:59.000Z

206

Chemical Market Prices  

Science Journals Connector (OSTI)

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

1945-01-10T23:59:59.000Z

207

CHEMICAL MARKET PRICES  

Science Journals Connector (OSTI)

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

1941-10-10T23:59:59.000Z

208

CHEMICAL MARKET PRICES  

Science Journals Connector (OSTI)

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

1941-02-10T23:59:59.000Z

209

CHEMICAL MARKET PRICES  

Science Journals Connector (OSTI)

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

1941-03-10T23:59:59.000Z

210

THE WEEK'S PRICE CHANGES  

Science Journals Connector (OSTI)

THE WEEK'S PRICE CHANGES ... Socony Vacuum Oil Co. effected a second reduction in its prices for No. 2 fuel oil and ... ...

1950-02-27T23:59:59.000Z

211

Fuel option for gas turbine  

SciTech Connect (OSTI)

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.

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

1995-12-31T23:59:59.000Z

212

Operation Planning of Multiparcel Tankers under Fuel Price Uncertainty  

Science Journals Connector (OSTI)

They may deviate slightly from their normal voyage plans, incur necessary port dues, or even delay the transit through a canal to refuel at a port with attractively priced fuel. ... Most commercial marine vessels use fuels with 180 cst, 380 cst, and 500 cst viscosities with 380 cst being the most common. ... The fuel prices for these options are uncertain except at the end of leg 0. Since the tanker may be at a port, or will reach the next port shortly after time zero, it is reasonable to assume that the fuel price of each refueling option after leg 0 is fixed and known. ...

H. C. Oh; I. A. Karimi

2010-05-26T23:59:59.000Z

213

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

E-Print Network [OSTI]

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,?) = µ+ ?1+exp(??(x t ??)) , where ? = (µ.... 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...

Lee, Hyoung Il

2008-10-10T23:59:59.000Z

214

What Is Price Volatility  

Gasoline and Diesel Fuel Update (EIA)

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

215

Demand and Price Outlook for Phase 2 Reformulated Gasoline, 2000  

Gasoline and Diesel Fuel Update (EIA)

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

216

CANNED FISH RETAIL PRICES  

E-Print Network [OSTI]

CANNED FISH RETAIL PRICES NOVEMBER 1958 UNITED STATES DEPARTMENT OF THE INTERIOR FISH AND WILDLIFE retail prices for selected canned fish items. The retail prices as contained herein for several types, 500 or over, and prices were obtained by personal visits of agents to the retail stores

217

CANNED FISH RETAIL .PRICES,  

E-Print Network [OSTI]

CANNED FISH RETAIL .PRICES, OC1rOIBrE~ UNITED STATES DEPARTMENT OF THE INT...n.~""n FISH retail prices for selected canned fish items. The retail prices as contained herein for several types, 500 or over, and prices were obtained by personal visits of agents to the retail stores

218

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

E-Print Network [OSTI]

) 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...

Richardson, James W.; Nixon, Clair J.

1986-01-01T23:59:59.000Z

219

CCS, Nuclear Power and Biomass An Assessment of Option Triangle under Global Warming Mitigation Policy by an Integrated Assessment Model MARIA-23  

Science Journals Connector (OSTI)

Abstract It is well understood that the global climate change caused by the increase of greenhouse gas (GHG) emission would be a serious barrier towards the sustainable development. Nuclear power, CCS and biomass have been regarded as the major options in the GHG mitigation policy. However, since the social acceptance of nuclear power expansion has seriously been changed after the gigantic earthquake on March 11, 2011 followed by the Fukushima Daiichi nuclear power station accident, the energy policy makers are forced to consider both the global warming and the decline of nuclear power simultaneously. This study attempts to address the following key questions: (1) how much additional costs or decline of production will be needed when nuclear power expansion is limited under the GHG emission control policies and (2) to what extent the potential of the biomass and CCS could compensate for the nuclear power reductions. We expand an integrated assessment model, MARIA-23 (Multiregional Approach for Resource and Industry Allocation) to deal with the CCS options and biomass options taking into account the additional carbon emission by cultivation. The simulation results show the interrelationships of the carbon mitigation contributions of the above three major options under various scenarios.

Shunsuke Mori; Keisuke Miyaji; Kazuhisa Kamegai

2013-01-01T23:59:59.000Z

220

MTBE Prices Responded to Natural Gas Prices  

Gasoline and Diesel Fuel Update (EIA)

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

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


221

Regional Retail Gasoline Prices  

Gasoline and Diesel Fuel Update (EIA)

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

222

Virginia Gasoline Price Data  

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

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

223

Illinois Gasoline Price Data  

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

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

224

Oklahoma Gasoline Price Data  

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

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

225

Tennessee Gasoline Price Data  

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

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

226

Wisconsin Gasoline Price Data  

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

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

227

Maryland Gasoline Price Data  

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

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

228

Massachusetts Gasoline Price Data  

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

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

229

Ohio Gasoline Price Data  

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

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

230

Maryland Efficiency Program Options  

Broader source: Energy.gov [DOE]

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

231

STEP Participant Financing Options  

Broader source: Energy.gov [DOE]

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

232

Appliance Efficiency Standards and Price Discrimination  

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

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

233

State Volume Price Volume Price Volume Price Volume Price Volume Price  

Gasoline and Diesel Fuel Update (EIA)

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

234

Diesel Fuel Price Pass-through  

Gasoline and Diesel Fuel Update (EIA)

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

235

Simulating the impact of pricing policies on residential water demand: a Southern France case study  

E-Print Network [OSTI]

, with an estimated price elasticity of -0.2, is not yet very responsive to price variation. A regional water model water pricing. Keywords: demand elasticity, France, water pricing, residential water demand, simulationSimulating the impact of pricing policies on residential water demand: a Southern France case study

Paris-Sud XI, Université de

236

Natural Gas Spot Prices:  

Gasoline and Diesel Fuel Update (EIA)

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

237

Residential propane price  

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

propane price decrease The average retail price for propane is 2.37 per gallon, down 1.3 cents from last week, based on the residential heating fuel survey by the U.S. Energy...

238

Residential propane price  

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

propane price decreases The average retail price for propane is 2.35 per gallon, down 1.1 cents from last week, based on the residential heating fuel survey by the U.S. Energy...

239

Residential propane price  

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

propane price decreases The average retail price for propane is 2.36 per gallon, down 1 cent from last week, based on the residential heating fuel survey by the U.S. Energy...

240

The Minimum Price Contract  

E-Print Network [OSTI]

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

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

2008-10-17T23:59:59.000Z

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


241

Residential propane prices increase  

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

propane prices increase The average retail price for propane rose 3.2 cents from a week ago to 2.86 per gallon. That's up 59.3 cents from a year ago, based on the residential...

242

Residential propane prices decreases  

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

5, 2014 Residential propane prices decreases The average retail price for propane fell to 3.89 per gallon, that's down 11.9 cents from a week ago, based on the residential heating...

243

Residential propane prices increase  

Gasoline and Diesel Fuel Update (EIA)

propane prices increase The average retail price for propane rose 10.3 cents from a week ago to 2.96 per gallon. That's up 68.1 cents from a year ago, based on the residential...

244

Residential propane prices increase  

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

propane prices increase The average retail price for propane rose 3.9 cents from a week ago to 2.80 per gallon. That's up 53.7 cents from a year ago, based on the residential...

245

Residential propane prices increase  

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

propane prices increase The average retail price for propane rose 5.5 cents per gallon from last week to 2.62 per gallon; up 37.4 cents from a year ago, based on the residential...

246

Residential propane prices surges  

Gasoline and Diesel Fuel Update (EIA)

propane prices surges The average retail price for propane rose to an all-time high of 4.01 a gallon, that's up 1.05 from a week ago, based on the residential heating fuel survey...

247

Residential propane price increases  

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

propane price increases The average retail price for propane is 2.41 per gallon, up 6-tenths of a cent from last week, based on the residential heating fuel survey by the U.S....

248

Residential propane prices surges  

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

Midwest and Northeast propane prices much higher this winter than last year Households that heat with propane will pay for that propane at prices averaging 39 percent higher in the...

249

Residential propane prices stable  

Gasoline and Diesel Fuel Update (EIA)

propane price decreases The average retail price for propane is 2.40 per gallon, down 9-tenths of a cent from last week, based on the residential heating fuel survey by the U.S....

250

Residential propane price decreases  

Gasoline and Diesel Fuel Update (EIA)

6, 2014 Residential propane price decreases The average retail price for propane fell to 3.48 per gallon, down 15.9 cents from a week ago, based on the residential heating fuel...

251

Residential propane prices surges  

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

9, 2014 Residential propane price decreases The average retail price for propane fell to 3.08 per gallon, down 8.6 cents from a week ago, based on the residential heating fuel...

252

Residential propane prices increase  

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

propane prices increase The average retail price for propane rose 4.8 cents from a week ago to 2.76 per gallon. That's up 51.2 cents from a year ago, based on the residential...

253

Residential propane prices increase  

Gasoline and Diesel Fuel Update (EIA)

propane prices increase The average retail price for propane rose 2.5 cents from a week ago to 2.83 per gallon. That's up 56 cents from a year ago, based on the residential...

254

Residential propane price decreases  

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

05, 2014 Residential propane price decreases The average retail price for propane fell to 2.40 per gallon, down 1.2 cents from a week ago, based on the residential heating fuel...

255

Residential propane prices increase  

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

propane prices increase The average retail price for propane rose to 2.40 per gallon, up 1.1 cents from a week ago, based on the residential heating fuel survey by the U.S. Energy...

256

Residential propane prices surges  

Gasoline and Diesel Fuel Update (EIA)

2, 2014 Residential propane price decreases The average retail price for propane fell to 3.17 per gallon, down 13.1 cents from a week ago, based on the residential heating fuel...

257

Residential propane prices increase  

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

propane prices increase The average retail price for propane rose 2.3 cents per gallon from last week to 2.57 per gallon; up 32.2 cents from a year ago, based on the residential...

258

Residential propane prices available  

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

propane prices available The average retail price for propane is 2.30 per gallon, based on the U.S. Energy Information Administration's weekly residential heating fuel survey....

259

Residential propane prices increase  

Gasoline and Diesel Fuel Update (EIA)

propane prices increase The average retail price for propane rose 9.1 cents from a week ago to 2.71 per gallon. That's up 46.9 cents from a year ago, based on the residential...

260

Residential propane prices stable  

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

propane prices stable The average retail price for propane is 2.37 per gallon. That's down 4-tenths of a penny from a week ago, based on the U.S. Energy Information...

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


261

Residential propane prices surges  

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

5, 2014 Residential propane price decreases The average retail price for propane fell to 3.30 per gallon, down 17.5 cents from a week ago, based on the residential heating fuel...

262

Livestock Seasonal Price Variation  

E-Print Network [OSTI]

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

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

1999-09-21T23:59:59.000Z

263

Residential heating oil price  

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

heating oil price decreases The average retail price for home heating oil fell 6.3 cents from a week ago to 2.91 per gallon. That's down 1.10 from a year ago, based on the...

264

Residential heating oil price  

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

heating oil price decreases The average retail price for home heating oil fell 7.5 cents from a week ago to 2.84 per gallon. That's down 1.22 from a year ago, based on the...

265

Residential heating oil price  

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

heating oil price decreases The average retail price for home heating oil fell 7.6 cents from a week ago to 2.97 per gallon. That's down 1.05 from a year ago, based on the...

266

Residential heating oil price  

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

heating oil price decreases The average retail price for home heating oil fell 3.6 cents from a week ago to 3.04 per gallon. That's down 99.4 cents from a year ago, based on the...

267

Mr. Harry Price  

Science Journals Connector (OSTI)

... THROUGH the death of Mr. Harry Price on March 29, psychical research has lost its most distinguished journalist and writer ...

1948-04-24T23:59:59.000Z

268

Statewide Pricing Pilot (SPP) Overview and Results  

E-Print Network [OSTI]

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

269

CANNED FISH RETAIL PRICES  

E-Print Network [OSTI]

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

270

CANNED FISH RETAIL PRICES  

E-Print Network [OSTI]

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

271

CANNED FISH RETAIL PRICES  

E-Print Network [OSTI]

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

272

California Natural Gas Prices  

Gasoline and Diesel Fuel Update (EIA)

2008 2009 2010 2011 2012 2013 View History Wellhead Price 8.38 3.96 4.87 1967-2010 Imports Price 9.15 2.83 4.76 3.57 -- 3.59 2007-2013 Exports Price 8.06 3.76 4.51 4.18 2.90 3.89...

273

Connecticut Natural Gas Prices  

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

2008 2009 2010 2011 2012 2013 View History Pipeline and Distribution Use Price 1967-2005 Citygate Price 10.24 6.81 6.58 5.92 5.12 5.42 1984-2013 Residential Price 17.85 14.81 14.93...

274

WEEK'S PRICE CHANGES  

Science Journals Connector (OSTI)

Stauffer reduces prices on a high energy fuel raw material—boron trichloride. ... In 100-pound cylinders the chemical's price was dropped from $3.99 to $1.70 a pound, and in ton cylinders it is now priced at $1.25 a pound. ...

1957-07-29T23:59:59.000Z

275

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)

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.

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

276

Utility spot pricing study : Wisconsin  

E-Print Network [OSTI]

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

Caramanis, Michael C.

1982-01-01T23:59:59.000Z

277

Grid Pricing of Fed Cattle  

E-Print Network [OSTI]

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....

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

2009-03-02T23:59:59.000Z

278

Green Pricing Experience and Lessons Learned Edward A. Holt  

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

Pricing Experience and Lessons Learned Pricing Experience and Lessons Learned Edward A. Holt Ed Holt & Associates Pacific Grove, California, August 25-31 Prepared for 1996 ACEEE Summer Study, Seven electric utilities in the United States offer a green pricing program, an optional product or service that customers choose if they wish to increase their use of renewable energy resources. Some two dozen additional utilities are considering or are planning to offer this option. The multiple approaches used and being considered recognize that green pricing is still in an experimental stage of development. The seven operating programs offer a green tariff for extra renewables, fixed monthly fees, and the opportunity to contribute to a tax-deductible fund. The results, in terms of participation

279

Average Commercial Price  

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

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

280

Average Commercial Price  

Gasoline and Diesel Fuel Update (EIA)

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

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


281

Natural Gas Industrial Price  

Gasoline and Diesel Fuel Update (EIA)

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

282

Average Residential Price  

Gasoline and Diesel Fuel Update (EIA)

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

283

Average Residential Price  

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

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

284

Montana Natural Gas Prices  

Gasoline and Diesel Fuel Update (EIA)

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

285

Louisiana Natural Gas Prices  

Gasoline and Diesel Fuel Update (EIA)

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

286

Nebraska Natural Gas Prices  

Gasoline and Diesel Fuel Update (EIA)

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

287

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

288

Consumer Prices During  

Gasoline and Diesel Fuel Update (EIA)

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

289

Connecticut Gasoline Price Data  

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

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

290

Average Residential Price  

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

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

291

Average Residential Price  

Gasoline and Diesel Fuel Update (EIA)

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

292

Average Commercial Price  

Gasoline and Diesel Fuel Update (EIA)

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

293

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

E-Print Network [OSTI]

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 ...

Herbelot, Olivier

1994-01-01T23:59:59.000Z

294

Natural Gas Purchasing Options  

E-Print Network [OSTI]

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...

Watkins, G.

295

Real Options: A Survey  

E-Print Network [OSTI]

The electricity price is subject to uncertainty because of the competition in the dereg- ... effects of uncertainty in government climate policy on private investors' ...

2015-01-04T23:59:59.000Z

296

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

E-Print Network [OSTI]

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...

Lee, So Yon

2006-08-16T23:59:59.000Z

297

Oil price stabilization and global welfare  

Science Journals Connector (OSTI)

Abstract Oil price stabilization polices are adopted extensively in developing countries. Some argue that developed economies, especially the US, may gain from these policies through trade. This paper studies this issue in a two-country model with dollar currency pricing. We find that the optimal level of oil price stabilization chosen by developing countries and its implications for global welfare depend critically on whether monetary policy can effectively respond to oil shocks. In an environment without monetary shocks, when optimal monetary policies are considered, there is no role for oil price stabilization in developing countries. However, to make the oil price stabilization policy redundant, optimal monetary policy is not necessary. Some non-optimal endogenous monetary policies satisfying certain conditions can also make the developing countries choose zero oil price stabilization. The results change when there are monetary shocks. Even with optimal monetary policies, the developing countries will choose a positive level of oil price stabilization. However, due to dollar currency pricing, the US actually loses from the stabilization policy. Our results are well supported by the quantitative analysis in a full-fledged dynamic stochastic general equilibrium model.

Qing Liu; Kang Shi; Zhouheng Wu; Juanyi Xu

2014-01-01T23:59:59.000Z

298

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

E-Print Network [OSTI]

were able to derive the model: W(X, T) = XN(dl) ? Ce N(d2), ln X/C + (R + I/2V )(T) (10) dl = v Tl/2 sTI/2 2 1 where W(X, T) is the premium for a call stock option with an exercise 20 price of C and time T until expiration, the underlying stock... the necessary modifications, Black derived the commod- ity contract pricing model: CP(Z T) e [ZN(dl) CN(d2) ] X S (12) dl = [ln ? + ? (T)]ST C 2 d d uTI/2 2 1 This formula is identical to the Black-Scholes model if Ze is substi- tuted for X everywhere...

Winder, Jim R.

2012-06-07T23:59:59.000Z

299

Challenges for Long-Term Energy Models: Modeling Energy Use and Energy Efficiency  

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

Long-Term Energy Models: Long-Term Energy Models: Modeling Energy Use and Energy Efficiency James Sweeney Stanford University Director, Precourt Institute for Energy Efficiency Professor, Management Science and Engineering Presentation to EIA 2008 Energy Conference 34 ! Years of Energy Information and Analysis Some Modeling History * Original Federal Energy Administration Demand Models in PIES and IEES (1974) - Residential, Industrial, Commercial Sectors * Econometric models * Dynamic specification * Allowed matrix of own-elasticities and cross- elasticities of demand for PIES and IEES - Electricity, Natural Gas, Oil, Coal - Designed to examine implications of changes in energy prices, taxes, price regulation - For analysis of "energy conservation" options, estimate of direct impacts used as reduction of

300

Maryland Natural Gas Prices  

Gasoline and Diesel Fuel Update (EIA)

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

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


301

Alabama Natural Gas Prices  

Gasoline and Diesel Fuel Update (EIA)

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

302

Massachusetts Natural Gas Prices  

Gasoline and Diesel Fuel Update (EIA)

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

303

Vermont Natural Gas Prices  

Gasoline and Diesel Fuel Update (EIA)

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

304

Pennsylvania Natural Gas Prices  

Gasoline and Diesel Fuel Update (EIA)

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

305

Indiana Natural Gas Prices  

Gasoline and Diesel Fuel Update (EIA)

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

306

Florida Natural Gas Prices  

Gasoline and Diesel Fuel Update (EIA)

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

307

Utah Gasoline Price Data  

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

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

308

Connecticut Natural Gas Prices  

Gasoline and Diesel Fuel Update (EIA)

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

309

Oregon Natural Gas Prices  

Gasoline and Diesel Fuel Update (EIA)

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

310

Arizona Natural Gas Prices  

Gasoline and Diesel Fuel Update (EIA)

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

311

Colorado Natural Gas Prices  

Gasoline and Diesel Fuel Update (EIA)

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

312

Alaska Natural Gas Prices  

Gasoline and Diesel Fuel Update (EIA)

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

313

Kansas Natural Gas Prices  

Gasoline and Diesel Fuel Update (EIA)

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

314

Missouri Natural Gas Prices  

Gasoline and Diesel Fuel Update (EIA)

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

315

Arkansas Natural Gas Prices  

Gasoline and Diesel Fuel Update (EIA)

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

316

Iowa Natural Gas Prices  

Gasoline and Diesel Fuel Update (EIA)

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

317

Maine Natural Gas Prices  

Gasoline and Diesel Fuel Update (EIA)

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

318

Idaho Natural Gas Prices  

Gasoline and Diesel Fuel Update (EIA)

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

319

TANK SPACE OPTIONS REPORT  

SciTech Connect (OSTI)

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.

WILLIS WL; AHRENDT MR

2009-08-11T23:59:59.000Z

320

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

E-Print Network [OSTI]

participatory pricing groups and traditional fixed price groups when examining price fairness, perceived value, willingness-to-pay, and final average prices paid. Specifically, price fairness evaluations were significantly higher for the PWYW and fixed price...

Reese, Jason 1985-

2012-12-06T23:59:59.000Z

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


321

Asset Pricing with Countercyclical Household Consumption Risk  

E-Print Network [OSTI]

1 Asset Pricing with Countercyclical Household Consumption Risk George M. Constantinides that shocks to household consumption growth are negatively skewed, persistent, and countercyclical and play that drives the conditional cross-sectional moments of household consumption growth. The estimated model

Sadeh, Norman M.

322

Are oil prices going to remain volatile?  

Science Journals Connector (OSTI)

For numerous planning problems in industrial but also in private management the expectation of future energy prices remains a crucial parameter. On the basis ... a comprehensive demand/supply model for the world

Dr. F. Wirl

1985-04-01T23:59:59.000Z

323

Retail Motor Gasoline Prices*  

Gasoline and Diesel Fuel Update (EIA)

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

324

Residential Heating Oil Prices  

Gasoline and Diesel Fuel Update (EIA)

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

325

prices | OpenEI  

Open Energy Info (EERE)

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

326

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

E-Print Network [OSTI]

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

Carmona, Rene

327

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

E-Print Network [OSTI]

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

Oren, Shmuel S.

328

LED Price Tracking Form  

Broader source: Energy.gov [DOE]

DOE intends to update the SSL Pricing and Efficacy Trend Analysis for Utility Program Planning report on an annual basis, but doing so requires that we have sufficient product and purchase data including acquisition date, purchase price, product category, and rated initial lumens. Those interested in helping collect this data are asked to use the LED Price Tracking FormMicrosoft Excel and follow the instructions for submitting data.

329

California Gasoline Price Data  

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

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

330

Michigan Gasoline Price Data  

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

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

331

Iowa Gasoline Price Data  

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

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

332

Louisiana Gasoline Price Data  

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

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

333

,"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"...

334

Pricing Inflation Derivatives.  

E-Print Network [OSTI]

?? This thesis presents an overview of strategies for pricing inflation derivatives. The paper is structured as follows. Firstly, the basic definitions and concepts such… (more)

Tewolde Berhan, Damr

2012-01-01T23:59:59.000Z

335

Natural Gas Industrial Price  

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

Power Price Gross Withdrawals Gross Withdrawals From Gas Wells Gross Withdrawals From Oil Wells Gross Withdrawals From Shale Gas Wells Gross Withdrawals From Coalbed Wells...

336

,"California Natural Gas Prices"  

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

Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","California Natural Gas Prices",13,"Annual",2013,"6301967" ,"Release Date:","10312014"...

337

Crude Oil Prices  

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

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

338

Crude Oil Prices  

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

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

339

Crude Oil Prices  

Gasoline and Diesel Fuel Update (EIA)

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

340

Crude Oil Prices  

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

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

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


341

Crude Oil Prices  

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

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

342

Price determination for breeding bulls  

E-Print Network [OSTI]

prices had none. One the average, bull prices were egual to the value of five 425 pound feeder calves. Hesults of the second analysis indicated that the consignor (apparently ~ his reputation as a ~) had the most influence cn the price of individual... of Feeder Cattle Prices an Average ~ RegiEt8t%6 Hereford Bull Prices, 1952-83, U. S. N~ Prices Deflated by Consuser Price Index, 1967 = 100. Distributed Zag of Annual Nst Farm Income and Annual ~ Prices on Registered Hereford Bull Prices, 195283, U. S...

Namken, Jerry Carl

2012-06-07T23:59:59.000Z

343

CCPExecutiveSummary Collusive Price  

E-Print Network [OSTI]

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

Feigon, Brooke

344

Domestic fuel price and the Nigerian macroeconomy  

Science Journals Connector (OSTI)

This study examined empirically a one-to-one nexus between domestic fuel price and various macroeconomic variables in Nigeria for the period spanning 1986 to 2011. The study adopted both a vector auto-regressive (VAR) and a vector error correction (VEC) models for appropriate analysis. For pairs of variables that are integrated of the same order but not co-integrated, the VAR model revealed that a unidirectional causation exist from domestic fuel price to short term interest rate while for the pair of variables that are integrated of the same order and are co-integrated the VEC model revealed the existence of causality from domestic fuel price to inflation rate in the long run and in the short run. The study recommended that serious caution should be taking by the government on domestic fuel price increase especially in an attempt to remove fuel subsidy and deregulate the downstream sector of the oil industry.

Philip Ifeakachukwu Nwosa

2012-01-01T23:59:59.000Z

345

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

E-Print Network [OSTI]

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

Matthews, Adrian

346

Retrospective Evaluation of Appliance Price Trends  

E-Print Network [OSTI]

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

Dale, Larry

2010-01-01T23:59:59.000Z

347

The pass through of oil prices into euro area consumer liquid fuel prices in an environment of high and volatile oil prices  

Science Journals Connector (OSTI)

Crude and refined oil prices have been relatively high and volatile on a sustained basis since 1999. This paper considers the pass through of oil prices into consumer liquid (i.e. petrol, diesel and heating) fuel prices in such an environment. The pass through of oil prices into consumer liquid fuel prices has already been addressed extensively in the literature. Nonetheless much of this literature has either focused on the United States or on a time period when oil prices were relatively stable, or has used monthly data. The main contribution of this paper is a comprehensive combination of many features that have been considered before but rarely jointly. These features include: (1) the analysis of the euro area as an aggregate and a large number of countries (the initial 12 member states); (2) the consideration of different time periods; (3) the modelling of the data in raw levels rather than in log levels. This turns out to have important implications for our findings; (4) the use of high frequency (weekly) data, which, as results will suggest, are the lowest frequency one should consider; (5) the investigation of the different stages of the production chain from crude oil prices to retail distribution — refining costs and margins, distribution and retailing costs and margins; (6) the examination of prices including and excluding taxes — excise and value-added; (7) the modelling of prices for three fuel types — passenger car petrol and diesel separately and home heating fuel oil; (8) lastly we also address the issue of possible asymmetries, allowing for the pass through to vary according to (a) whether price are increasing or decreasing and (b) whether price levels are above or below their equilibrium level. The main findings are as follows: First, as distribution and retailing costs and margins have been broadly stable on average, the modelling of the relationship between consumer prices excluding taxes and upstream prices in raw levels rather than in logarithms has important implications for the stability of estimates of pass through when oil price levels rise significantly. Second, considering spot prices for refined prices improves significantly the fit of the estimated models relative to using crude oil prices. It also results in more economically meaningful results concerning the extent of pass through. Third, oil price pass through occurs quickly, with 90% occurring within three to five weeks. Fourth, using a relatively broad specification allowing for asymmetry in the pass through from upstream to downstream prices, there is little evidence of statistically significant asymmetries. Furthermore, even where asymmetry is found to be statistically significant, it is generally not economically significant. Lastly, these results generally hold across most euro area countries with few exceptions.

Aidan Meyler

2009-01-01T23:59:59.000Z

348

CANNED FISH .RETAIL PRICES  

E-Print Network [OSTI]

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

349

CANNED FISH RETAIL PRICES  

E-Print Network [OSTI]

CANNED FISH RETAIL PRICES UNITED STATES DEPARTMENT OF THE INTERIOR FISH AND WILDLIFE SERVICE BUREAU, Fred A. Seaton, Secretary Fish and Wildlife Servic e, Arnie J. Suomela, Commissioner CANNED FISH RETAIL with the Bureau of Labor Statistics to obtain a v e rage retail prices for selected canned fish items. The retail

350

CANNED FISH RETAIL PRICES  

E-Print Network [OSTI]

CANNED FISH RETAIL PRICES DECEMBER 1958 UNITED STATES DEPARTMENT OF THE INTERIOR FISH AND WILDLIFE, Commissioner CANNED FISH RETAIL PRICES DECEMBER 1958 Prepared in the Bureau of Commercial Fisheries Branch Fisheries has contra cted with the Bureau of Labor Statistics to obtain av rag retail pric s for se lected

351

Utility spot pricing, California  

E-Print Network [OSTI]

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

Schweppe, Fred C.

1982-01-01T23:59:59.000Z

352

Food price volatility  

Science Journals Connector (OSTI)

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

2010-01-01T23:59:59.000Z

353

California Natural Gas Prices  

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

Mar-14 Apr-14 May-14 Jun-14 Jul-14 Aug-14 View History Citygate Price 6.06 4.86 5.15 4.75 5.21 4.36 1989-2014 Residential Price 11.77 11.48 12.15 12.04 12.51 12.07 1989-2014...

354

Connecticut Natural Gas Prices  

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

Mar-14 Apr-14 May-14 Jun-14 Jul-14 Aug-14 View History Citygate Price 5.68 5.97 6.63 6.39 6.10 5.84 1989-2014 Residential Price 13.90 16.53 17.79 20.34 20.36 20.67 1989-2014...

355

National Laboratory Dorene Price  

E-Print Network [OSTI]

Brookhaven National Laboratory Dorene Price Office of Intellectual Property and Sponsored Research: price@bnl.gov ACTIVATED ALUMINUM HYDRIDE HYDROGEN STORAGE COMPOSITIONS AND USES THEREOF Brookhaven alternatives to increase the fuel economies of vehicles as well as other applications that require an energy

356

THE WEEK'S PRICE CHANGES  

Science Journals Connector (OSTI)

THE WEEK'S PRICE CHANGES ... United Fuel Gas Co., Charleston, W. Va., has been authorized by Federal Power Commission to increase its wholesale rates for natural gas. ... Monarch Chemical Co., 161 East 42nd St., New York, announced at trie start of the month that it is advancing prices on its line of baking powders and creams, effective Aug. 31. ...

1953-08-17T23:59:59.000Z

357

THE WEEK'S PRICE CHANGES  

Science Journals Connector (OSTI)

Standard Oil Co. of Indiana advanced prices for fuel oil in the Chicago area three tenths of a cent per gallon, effective Jan. 23, 1950.Fritzsche Brothers, Inc. , New York, issued a new price list Jan. 13, 1950, showing eight declines and six advances ...

1950-01-30T23:59:59.000Z

358

National Laboratory Dorene Price  

E-Print Network [OSTI]

Brookhaven National Laboratory Dorene Price Office of Intellectual Property and Sponsored Research: price@bnl.gov ELECTROCHEMICAL ENHANCEMENT OF BIO-ETHANOL AND METABOLITE PRODUCTION Brookhaven National-ethanol fuel, as a beverage, or industries which by means of fermenting microbes commercially make ethanol

359

PERFECT AND PARTIAL HEDGING FOR SWING GAME OPTIONS IN DISCRETE TIME.  

E-Print Network [OSTI]

not to be dependent on its price fluctuation. The seller of the option can use heating oil futures as underlying examples. A big organization (e.g. university) wants to buy heating oil for Winter in several installments because of storage limitations and buys a multi exercise call option on heating oil in order

Kifer, Yuri I.

360

Security is Not an Option | Department of Energy  

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

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

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


361

Price Liquefied Freeport, TX Natural Gas Exports Price to United...  

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

United Kingdom (Dollars per Thousand Cubic Feet) Price Liquefied Freeport, TX Natural Gas Exports Price to United Kingdom (Dollars per Thousand Cubic Feet) Decade Year-0 Year-1...

362

Gasoline Prices at Historical Lows  

Gasoline and Diesel Fuel Update (EIA)

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

363

Diesel prices continue to increase  

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

Diesel prices continue to increase The U.S. average retail price for on-highway diesel fuel rose to 3.98 a gallon. That's up 2.6 cents from a week ago, based on the weekly price...

364

Prices in Wholesale Electricity Markets and Demand Response.  

E-Print Network [OSTI]

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

Aketi, Venkata Sesha Praneeth

2014-01-01T23:59:59.000Z

365

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

366

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

SciTech Connect (OSTI)

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.

Geffen, CA; Dooley, JJ; Kim, SH

2003-08-24T23:59:59.000Z

367

Belinda Price | Department of Energy  

Office of Environmental Management (EM)

Belinda Price About Us Belinda Price - Member Belinda is a senior hydrogeologist with Alliant Corporation. She has more than 25 years experience in environmental investigation and...

368

Price forecasting for notebook computers.  

E-Print Network [OSTI]

??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)

Rutherford, Derek Paul

2012-01-01T23:59:59.000Z

369

STEO November 2012 - gas prices  

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

two-thirds of the pump price. Hurricane Sandy, however, has contributed to higher wholesale gasoline prices on the East Coast, and the recovery schedule for affected...

370

Gas Prices: Frequently Asked Questions  

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

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

371

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

E-Print Network [OSTI]

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

Bertini, Robert L.

372

Understanding Trends in Wind Turbine Prices Over the Past Decade  

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

Understanding Trends in Wind Turbine Prices Over the Past Decade Understanding Trends in Wind Turbine Prices Over the Past Decade Title Understanding Trends in Wind Turbine Prices Over the Past Decade Publication Type Report Refereed Designation Unknown Year of Publication 2011 Authors Bolinger, Mark, and Ryan H. Wiser Pagination 46 Date Published 10/2011 Publisher LBNL City Berkeley Keywords electricity markets and policy group, energy analysis and environmental impacts department Abstract Berkeley Lab has gathered price data on 81 U.S. wind turbine transactions totaling 23,850 MW announced from 1997 through early 2011. Figure ES-1 depicts these reported wind turbine transaction prices (along with the associated trend line), broken out by the size of the transaction (in MW). Figure ES-1 also presents average (global) turbine prices reported by Vestas for the years 2005 through 2010, as well as a range of reported pricing (among various turbine manufacturers) for transactions signed in 2010 and so far in 2011 (with 2011 prices generally lower than 2010 prices). After hitting a low of roughly $750/kW from 2000 to 2002, average wind turbine prices doubled through 2008, rising to an average of roughly $1,500/kW. Wind turbine prices have since declined substantially, with price quotes for transactions executed in 2010 and to date in 2011 ranging from $900-$1,400/kW depending on the manufacturer and turbine model. For example, turbines designed for lower wind speed sites - deploying higher hub heights and larger rotor diameters for a given nameplate capacity - are priced at the higher end of this range. These quotes suggest price declines of as much as 33% or more since late 2008, with an average decline closer to perhaps 20% for orders announced in 2010 (as opposed to in 2011, which has seen further price declines). These two substantial and opposing wind turbine price trends over the past decade - and particularly the doubling in prices in the 2002-2008 period - run counter to the smooth, gradually declining technology cost trajectories that are often assumed by energy analysts modeling the diffusion of new technologies, including wind power. Understanding and explaining this notable discrepancy between theory and historical reality is the primary motivation for this work. Taking a bottom-up approach, this report examines seven primary drivers of wind turbine prices in the United States, with the goal of estimating the degree to which each contributed to the doubling in turbine prices from 2002 through 2008, as well as the subsequent decline in prices through 2010 (our analysis does not extend into 2011 because several of these drivers are best gauged on a full-year basis due to seasonality issues).

373

CCPExecutiveSummary Price low and  

E-Print Network [OSTI]

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

Feigon, Brooke

374

FEDERAL RESERVE BANK OF DALLASWhat Drives Natural Gas Prices?  

E-Print Network [OSTI]

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.

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

2007-01-01T23:59:59.000Z

375

From complexities to the rules of thumb: towards optimisation in pricing decisions  

Science Journals Connector (OSTI)

This study is arguing that management would benefit in pricing decision from simple rules of thumb more than from complicated models. These rules are easy to use and they provide management with useful support to move towards optimisation and to diminish gap between theory and practice. This paper presents three kinds of rules for pricing decision dealing with multi-product pricing, dynamic pricing and pricing objective function. The rules are adjusted versions of the Amoroso-Robinson rule. The paper also presents survey evidence on pricing decisions in Finnish firms. This evidence is based on a questionnaire responded by 205 firms. Finnish firms tend to use cost-plus pricing and are largely full-cost adopters although many of them report maximising objectives for pricing. Evidence shows that the firms are able and motivated to apply analytical methods for pricing. However, only 22% of the firms have adopted optimisation models in pricing decisions.

Erkki K. Laitinen

2009-01-01T23:59:59.000Z

376

Oil Price Volatility  

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

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

377

El Paso Gasoline Prices  

Gasoline and Diesel Fuel Update (EIA)

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

378

Refiner Wholesale Price ...........................  

Gasoline and Diesel Fuel Update (EIA)

Prices (cents per gallon) Prices (cents per gallon) Refiner Wholesale Price ........................... 297 299 302 275 289 290 288 262 275 289 280 257 293 282 276 Gasoline Regular Grade Retail Prices Including Taxes PADD 1 .................................................... 363 366 364 355 361 350 355 331 341 355 347 327 362 349 343 PADD 2 .................................................... 355 366 369 340 350 368 352 318 334 355 346 318 357 347 338 PADD 3 .................................................... 346 353 345 326 339 336 337 307 323 341 329 305 343 330 325 PADD 4 .................................................... 322 374 358 348 323 361 362 326 322 351 348 322 351 344 337 PADD 5 .................................................... 390 413 390 384 382 390 385 355 362 384 379 356 394 378 371 U.S. Average ........................................

379

Crude Oil Prices  

Gasoline and Diesel Fuel Update (EIA)

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

380

Crude Oil Prices  

Gasoline and Diesel Fuel Update (EIA)

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

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


381

Annual Real Natural Gas Prices by Sector  

Gasoline and Diesel Fuel Update (EIA)

5 5 Notes: Major regulatory reforms at the Federal level began at the end of the 1970s with the passage of the Natural Gas Policy Act, and have affected most phases of the industry and markets Over time the movement to a more competitive model led to lower prices starting around 1983, which was accentuated by the drop in world oil prices in 1986 Gas consumers in all sectors seem to have benefited, on average, from a more competitive marketplace However, several factors have come together recently that have pushed spot gas prices up sharply and which are expected to reverse the downward trend in in real gas prices for the next year or so: U.S. gas production has been relatively flat. Expected demand is high under normal weather assumptions. Gas storage levels are below normal.

382

Implementing price increases in turbulent economies: Pricing approaches for reducing perceptions of price unfairness  

Science Journals Connector (OSTI)

Abstract Consumer frustration over having less money in their pockets and, at the same time facing higher prices for products and services in the marketplace, arises during turbulent economic times (e.g., post-2007). Sellers suffer increased costs and pass along increases by raising prices to consumers. The current article discusses trends in the pricing literature and in practice that sellers utilize in limiting perceptions of price unfairness, particularly when increasing price in turbulent economic times. Specifically, engaging in transparency in pricing by revealing information about price changes to the consumer during poor economic times potentially reduces perceptions of price unfairness. Using industry-common price-setting practices, shrinking product volume, providing automatic rebates promotions, or offering price-matching promotions also likely reduces perceptions of price unfairness.

Jodie L. Ferguson

2014-01-01T23:59:59.000Z

383

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

E-Print Network [OSTI]

A. , 2011. The World Coke & Coking Coal Markets, Globalnishant.blogspot.com/2010/03/met-coke-prices-rise-sharply-Ojha, V. , 2010. Global Coke, ICC Conference, New Delhi,

Karali, Nihan

2014-01-01T23:59:59.000Z

384

Modeling the U.S. Rooftop Photovoltaics Market  

SciTech Connect (OSTI)

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

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

2010-09-01T23:59:59.000Z

385

Risk-based performance analysis for regional hybrid fuel with compressed natural gas option  

Science Journals Connector (OSTI)

Compressed natural gas is widely used for transportation due to its competitive price and less environmental impacts compared with traditional gasoline. With the recent push to implement electric vehicles, it became important to evaluate the current transportation fuelling status and identify best scenarios to move towards greener transportation. This paper presents analysis of hybrid transportation with compressed natural gas as a fuelling option to determine the most effective way to implement regional green transportation. Intelligent modelling and simulation techniques are proposed to model transportation and fuelling process and used as basis for performance modelling and analysis for different scenarios. Compressed natural gas is found to be a superior fuel to gasoline based on given scenario conditions and criteria for regional green hybrid transportation. The proposed scenarios are applied on case studies in Ontario to confirm the high value of compressed natural gas as viable fuelling scenarios.

Hossam A. Gabbar; Raymond Bedard

2012-01-01T23:59:59.000Z

386

Modelling Wind in the Electricity Sector  

E-Print Network [OSTI]

for investment for new power stations, fuel costs and prices of CO2 allowances. Our model incorporates three options to build new power stations. For baseload operation, we allow for the construction of new combined cycle gas turbines (CCGT). For investment... Integrated Planning Model (Neuhoff et al. 2005) and database of the GB power system. The model assumes perfect foresight and simultaneously optimises investment decisions in power stations and their subsequent operation. Thus it determines the volume...

Neuhoff, Karsten; Cust, J; Keats, Kim

387

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

E-Print Network [OSTI]

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...

Mhatre, Pratik Chandrashekhar

2010-10-12T23:59:59.000Z

388

Gasoline Price Pass-through  

Gasoline and Diesel Fuel Update (EIA)

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

389

Retail Diesel Fuel Oil Prices  

Gasoline and Diesel Fuel Update (EIA)

Along with heating oil prices, the distillate supply squeeze has Along with heating oil prices, the distillate supply squeeze has severely impacted diesel fuel prices, especially in the Northeast. Retail diesel price data are available sooner than residential heating oil data. This graph shows that diesel prices turned the corner sometime after February 7 and are heading down. Retail diesel fuel prices nationally, along with those of most other petroleum prices, increased steadily through most of 1999. Prices jumped dramatically (by over 11 cents per gallon) in the third week of January, and rose 2 or more cents a week through February 7. The increases were much more rapid in the Northeast. From January 17 through February 7, diesel fuel prices in New England rose nearly 68 cents per gallon, or 47 percent. Prices in the Mid-Atlantic region rose about 58

390

Nevada Transportatoion Options Study  

SciTech Connect (OSTI)

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.

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

2006-05-25T23:59:59.000Z

391

Programming Tuning Options on Hopper  

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

Tuning Options Programming Tuning Options Using Huge Pages Hugepages are virtual memory pages which are bigger than the default base page size of 4KB. Some applications may...

392

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

E-Print Network [OSTI]

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

Netoff, Theoden

393

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

E-Print Network [OSTI]

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

Kemper, Alfons

394

Edit Test Options Page 1 Edit Test Options  

E-Print Network [OSTI]

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

Xu, Shouhuai

395

New York Gasoline Price Data  

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

New York New York Exit Fueleconomy.gov The links below are to pages that are not part of the fueleconomy.gov. We offer these external links for your convenience in accessing additional information that may be useful or interesting to you. Selected Cities Albany AlbanyGasPrices.com Automotive.com Mapquest.com Buffalo BuffaloGasPrices.com Automotive.com Mapquest.com New York NewYorkGasPrices.com Automotive.com Mapquest.com Rochester RochesterGasPrices.com Automotive.com Mapquest.com Syracuse SyracuseGasPrices.com Automotive.com Mapquest.com Yonkers YonkersGasPrices.com Automotive.com Mapquest.com Other New York Cities NewYorkGasPrices.com (search by city or ZIP code) - GasBuddy.com New York Gas Prices (selected cities) - GasBuddy.com New York Gas Prices (organized by county) - Automotive.com

396

The Alternative Fuel Price Report  

Alternative Fuels and Advanced Vehicles Data Center [Office of Energy Efficiency and Renewable Energy (EERE)]

December 17, 2001 December 17, 2001 his is the fifth issue of the Clean Cities Alternative Fuel Price Report, a quarterly newsletter keeping you up to date on the price of alternative fuels in the U.S. and their relation to gasoline and diesel prices. This issue discusses prices that were gathered from Clean Cities coordinators and stakeholders during the weeks of October 15 and October 22, 2001, with comparisons to the prices in the previous Price Report for the week of June 4, 2001. Gasoline and Diesel Prices egular grade gasoline averaged $1.265 per gallon nationwide during the week of October 22, 2001. This represents a decrease of $0.414 per gallon from the previous Price Report (June 2001), as illustrated in the table to the right. Prices for the various regions of the

397

Retail Diesel Fuel Oil Prices  

Gasoline and Diesel Fuel Update (EIA)

Along with heating oil prices, the distillate supply squeeze has Along with heating oil prices, the distillate supply squeeze has severely impacted diesel fuel prices, especially in the Northeast. Diesel fuel is bascially the same product as home heating oil. The primary difference is that diesel has a lower sulfur content. When heating oil is in short supply, low sulfur diesel fuel can be diverted to heating oil supply. Thus, diesel fuel prices rise with heating heating oil prices. Retail diesel fuel prices nationally, along with those of most other petroleum prices, increased steadily through most of 1999. But prices in the Northeast jumped dramatically in the third week of January. Diesel fuel prices in New England rose nearly 68 cents per gallon, or 47 percent, between January 17 and February 7. While EIA does not have

398

Gasoline Prices: What is Happening?  

Gasoline and Diesel Fuel Update (EIA)

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

399

price | OpenEI  

Open Energy Info (EERE)

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

400

Photostat Price S /  

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

Photostat Price S / Photostat Price S / . p d Microfilm Price $ /- 80 Available from the Office of Technical Services Department of Commerce Washington 25, D. C. A. ifetallurgi c a l Pro.1 ect PHYSICS rnSEARR u E. Fermi, Division Director; G a l e Young, Section Chief * * * . - 1 I - t khCALC'ULATIOM OF TEIE CRITICAL SIZE AND MULTIPUCATIQ! , . - . - L C O N S T A N T OF A H@dOGENBOUS UO2 - DZO MIXTURFS E . P. Nigner, A. M. Ileinberg, J, Stephenson February 11, 1944 The roultiplication constant w d optimal concentra- tion of a slurry p i l e is recalculated on the basis of Uitchell's re'cmt experiments on resonance absorption. -\ The smallest chain reacting unit contains &S t o 55 m3 of D~O. DISCLAIMER This report was prepared as an account of work sponsored by an agency of the United States Government. Neither the

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


401

Hydrogen Production Infrastructure Options Analysis  

Broader source: Energy.gov [DOE]

Presentation on hydrogen production and infrastructure options presented at the DOE Transition Workshop.

402

Fairness and dynamic pricing: comments  

SciTech Connect (OSTI)

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

Hogan, William W.

2010-07-15T23:59:59.000Z

403

First Factor Impacting Distillate Prices: Crude Oil Prices  

Gasoline and Diesel Fuel Update (EIA)

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

404

Transparent Prices for Municipal Water: Impact of Pricing and Billing  

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

Transparent Prices for Municipal Water: Impact of Pricing and Billing Transparent Prices for Municipal Water: Impact of Pricing and Billing Practices on Residential Water Use Speaker(s): Sylvestre Gaudin Date: November 29, 2004 - 12:00pm Location: Bldg. 90 Seminar Host/Point of Contact: John Busch Jr. Economic Research shows overwhelmingly that residential consumers do not pay much attention to price changes when they make decisions about water use. This weak price sensitivity is often attributed to the intrinsic nature of water as a necessity. However, a large part of water use is the result of choices that could easily be altered without affecting basic welfare. Economic theory points to at least two other reasons why consumers would not be responsive to price changes for water use: the fact that water bills constitute a small portion of their budgets, and the fact that price

405

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

Gasoline and Diesel Fuel Update (EIA)

Portugal (Dollars per Thousand Cubic Feet) Price Liquefied Sabine Pass, LA Natural Gas Exports Price to Portugal (Dollars per Thousand Cubic Feet) Decade Year-0 Year-1 Year-2...

406

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

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

Japan (Dollars per Thousand Cubic Feet) Price Liquefied Sabine Pass, LA Natural Gas Exports Price to Japan (Dollars per Thousand Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3...

407

Price Liquefied Freeport, TX Natural Gas Exports Price to Japan...  

Gasoline and Diesel Fuel Update (EIA)

Japan (Dollars per Thousand Cubic Feet) Price Liquefied Freeport, TX Natural Gas Exports Price to Japan (Dollars per Thousand Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4...

408

Oil Prices and Terms of Trade.  

E-Print Network [OSTI]

?? 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)

Mirfacihi, Azar

2006-01-01T23:59:59.000Z

409

Thermal test options  

SciTech Connect (OSTI)

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.

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

1993-02-01T23:59:59.000Z

410

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...

411

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

E-Print Network [OSTI]

??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… (more)

Faghih, Ali

2011-01-01T23:59:59.000Z

412

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

E-Print Network [OSTI]

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 ...

Faghih, Ali

2011-01-01T23:59:59.000Z

413

Food price volatility  

Science Journals Connector (OSTI)

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

2010-01-01T23:59:59.000Z

414

THE WEEK'S PRICE CHANGES  

Science Journals Connector (OSTI)

Atlantic Refining Co. reduced its tank car price for kerosene at Boston from 9.8 to 9.5 cents per gallon effective Feb. 9, 1950. The company's quotation for No. 2 fuel oil was lowered at the same time from 8.8 to 8.4 cent per gallon. A new discount of ...

1950-02-20T23:59:59.000Z

415

Regional Residential Heating Oil Prices  

Gasoline and Diesel Fuel Update (EIA)

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

416

New Mexico Gasoline Price Data  

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

Mexico Mexico Exit Fueleconomy.gov The links below are to pages that are not part of the fueleconomy.gov. We offer these external links for your convenience in accessing additional information that may be useful or interesting to you. Selected Cities Albuquerque AlbuquerqueGasPrices.com Automotive.com Mapquest.com Las Cruces LasCrucesGasPrices.com Automotive.com Mapquest.com Rio Rancho RioRanchoGasPrices.com Automotive.com Mapquest.com Santa Fe SantaFeGasPrices.com Automotive.com Mapquest.com Other New Mexico Cities NewMexicoGasPrices.com (search by city or ZIP code) - GasBuddy.com New Mexico Gas Prices (selected cities) - GasBuddy.com New Mexico Gas Prices (organized by county) - Automotive.com Gas Prices of the United States: New Mexico Cities - MapQuest New Mexico

417

Winter Residential Heating Oil Prices  

Gasoline and Diesel Fuel Update (EIA)

7 7 Notes: Residential heating oil prices reflect a similar pattern to that shown in spot prices. However, like other retail petroleum prices, they tend to lag changes in wholesale prices in both directions, with the result that they don't rise as rapidly or as much, but they take longer to recede. This chart shows the residential heating oil prices collected under the State Heating Oil and Propane Program (SHOPP), which only runs during the heating season, from October through March. The spike in New York Harbor spot prices last winter carried through to residential prices throughout New England and the Central Atlantic states. Though the spike actually lasted only a few weeks, residential prices ended the heating season well above where they had started.

418

Regional Residential Heating Oil Prices  

Gasoline and Diesel Fuel Update (EIA)

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

419

Pricing statistics sourcebook. 5. edition  

SciTech Connect (OSTI)

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

NONE

1999-11-01T23:59:59.000Z

420

Price forecasting for notebook computers  

E-Print Network [OSTI]

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...

Rutherford, Derek Paul

2012-06-07T23:59:59.000Z

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


421

Residential propane price decreases slightly  

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

propane price decreases slightly The average retail price for propane is 2.38 per gallon, down 3-tenths of a cent from last week, based on the residential heating fuel survey by...

422

Best Buys and Unit Pricing  

E-Print Network [OSTI]

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....

Anding, Jenna

2000-02-02T23:59:59.000Z

423

Residential propane price is unchanged  

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

13, 2014 Residential propane price is unchanged The average retail price for propane is 2.40 per gallon, down one-tenth of a cent from last week, based on the residential heating...

424

Residential heating oil prices decline  

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

propane price increase slightly The average retail price for propane is 2.41 per gallon, up 1-tenth of a cent from last week, based on the residential heating fuel survey by the...

425

Residential heating oil prices decrease  

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

heating oil prices decrease The average retail price for home heating oil fell 1.7 cents from a week ago to 4.02 per gallon. That's up 1.7 cents from a year ago, based on the...

426

Residential heating oil price decreases  

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

heating oil price decreases The average retail price for home heating oil fell 7.8 cents from a week ago to 3.14 per gallon. That's down 81.1 cents from a year ago, based on the...

427

Residential heating oil price decreases  

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

heating oil price decreases The average retail price for home heating oil fell 10.5 cents from a week ago to 3.22 per gallon. That's down 73.6 cents from a year ago, based on the...

428

Residential heating oil price decreases  

Gasoline and Diesel Fuel Update (EIA)

heating oil price decreases The average retail price for home heating oil fell 1.8 cents from a week ago to 2.82 per gallon. That's down 1.36 from a year ago, based on the...

429

Residential heating oil prices decline  

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

heating oil price decreases The average retail price for home heating oil fell 2 cents from a week ago to 3.36 per gallon. That's down 52.5 cents from a year ago, based on the...

430

Residential heating oil prices increase  

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

heating oil prices increase The average retail price for home heating oil rose 3.9 cents last week to 3.96 per gallon. That's down 2.6 cents from a year ago, based on the...

431

Residential heating oil price decreases  

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

05, 2014 Residential heating oil price decreases The average retail price for home heating oil fell 1.9 cents from a week ago to 3.43 per gallon. That's down 39 cents from a year...

432

Residential heating oil price decreases  

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

4 Residential heating oil price decreases The average retail price for home heating oil fell 1.6 cents from a week ago to 3.42 per gallon. That's down 39.5 cents from a year ago,...

433

Residential heating oil prices decrease  

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

heating oil price decreases The average retail price for home heating oil fell 2.9 cents from a week ago to 3.45 per gallon. That's down 36.6 cents from a year ago, based on the...

434

Residential heating oil prices decline  

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

heating oil price decreases The average retail price for home heating oil fell 3.3 cents from a week ago to 3.38 per gallon. That's down 43.9 cents from a year ago, based on the...

435

Residential heating oil prices increase  

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

5, 2014 Residential heating oil prices increase The average retail price for home heating oil rose 6.5 cents from a week ago to 4.24 per gallon. That's up 14.9 cents from a year...

436

Residential heating oil price decreases  

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

6, 2014 Residential heating oil price decreases The average retail price for home heating oil rose 1.6 cents from a week ago to 4.24 per gallon. That's up 8.9 cents from a year...

437

Residential heating oil prices decline  

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

heating oil price decreases The average retail price for home heating oil fell 6.3 cents from a week ago to 3.08 per gallon. That's down 90.3 cents from a year ago, based on the...

438

Residential heating oil price decreases  

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

heating oil price decreases The average retail price for home heating oil fell 3.8 cents from a week ago to 3.33 per gallon. That's down 59.1 cents from a year ago, based on the...

439

Residential heating oil prices increase  

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

heating oil prices increase The average retail price for home heating oil rose 5.4 cents from a week ago to 4.04 per gallon. That's up 4.9 cents from a year ago, based on the...

440

Residential heating oil prices increase  

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

heating oil prices increase The average retail price for home heating oil rose 2.9 cents from a week ago to 3.98 per gallon. That's up 6-tenths of a penny from a year ago, based...

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


441

Residential heating oil prices increase  

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

3, 2014 Residential heating oil prices increase The average retail price for home heating oil rose 4.4 cents from a week ago to 4.06 per gallon. That's up 4.1 cents from a year...

442

Residential heating oil prices decline  

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

heating oil prices decline The average retail price for home heating oil is 3.48 per gallon. That's down 4.5 cents from a week ago, based on the residential heating fuel survey by...

443

Residential heating oil prices decrease  

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

5, 2014 Residential heating oil prices decrease The average retail price for home heating oil fell 1.8 cents from a week ago to 4.00 per gallon. That's down 2-tenths of a cent...

444

Residential heating oil prices increase  

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

heating oil prices increase The average retail price for home heating oil rose 12 cents from a week ago to 4.18 per gallon. That's up 13 cents from a year ago, based on the...

445

Residential heating oil prices available  

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

ago, based on the U.S. Energy Information Administration's weekly residential heating fuel price survey. Heating oil prices in the New England region are at 3.48 per gallon,...

446

Diesel prices continue to increase  

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

Diesel prices continue to increase The U.S. retail price for on-highway diesel fuel rose to its highest average since September at 3.95 a gallon. That's up 4.7 cents from a week...

447

Diesel prices continue to increase  

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

Diesel prices continue to increase The U.S. average retail price for on-highway diesel fuel rose to 3.91 a gallon on Monday. That's up 7-tenths of a penny from a week ago, based...

448

Loss-Free Pricing Rules  

Science Journals Connector (OSTI)

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

Prof. Dr. Antonio Villar

2000-01-01T23:59:59.000Z

449

Physics & Astronomy Degree options  

E-Print Network [OSTI]

148 Physics & Astronomy Degree options BSc (Single Honours Degrees) Astrophysics Physics MPhys AND HL7 in Mathematics Physics and Astronomy (Gateway and International Gateway) Entry For UK students. Physics&Astronomy Subject enquiries Dr Kenny Wood E: physics@st-andrews.ac.uk Features * The nature

Brierley, Andrew

450

Idaho's Energy Options  

SciTech Connect (OSTI)

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

Robert M. Neilson

2006-03-01T23:59:59.000Z

451

Fuels options conference  

SciTech Connect (OSTI)

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.

NONE

1995-09-01T23:59:59.000Z

452

Economics & Finance Degree options  

E-Print Network [OSTI]

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

Brierley, Andrew

453

Forecasting Crude Oil Spot Price Using OECD Petroleum Inventory  

Gasoline and Diesel Fuel Update (EIA)

Forecasting Forecasting Crude Oil Spot Price Using OECD Petroleum Inventory Levels MICHAEL YE, ∗ JOHN ZYREN, ∗∗ AND JOANNE SHORE ∗∗ Abstract This paper presents a short-term monthly forecasting model of West Texas Intermedi- ate crude oil spot price using OECD petroleum inventory levels. Theoretically, petroleum inventory levels are a measure of the balance, or imbalance, between petroleum production and demand, and thus provide a good market barometer of crude oil price change. Based on an understanding of petroleum market fundamentals and observed market behavior during the post-Gulf War period, the model was developed with the objectives of being both simple and practical, with required data readily available. As a result, the model is useful to industry and government decision-makers in forecasting price and investigat- ing the impacts of changes on price, should inventories,

454

Understanding Dynamic Pricing Agents Joan Morris, Pattie Maes  

E-Print Network [OSTI]

Curve market simulator, a tool for evaluating dynamic agent pricing strategies in a simulated-world marketplaces. Towards this goal, the simulator represents sellers using different agent strategies and buyers." While models and practices exist today for setting optimal prices, such as in the travel industry

455

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 to the retail stores in these cities each month. These stores include important chain organizations

456

CCPPolicyBriefing Resale Price  

E-Print Network [OSTI]

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

Feigon, Brooke

457

Risk Price Dynamics Jaroslav Borovicka  

E-Print Network [OSTI]

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

Hansen, Lars Peter

458

China, India demand cushions prices  

SciTech Connect (OSTI)

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

Boyle, M.

2006-11-15T23:59:59.000Z

459

Hydrogen Production Infrastructure Options Analysis  

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

Production Production Infrastructure Options Analysis January 26, 2006 Brian D. James Julie Perez Peter Schmidt (703) 243 - 3383 Brian_James@DirectedTechnologies.com Directed Technologies, Inc. Page 1 of 39 26 January 2006 2006-1-26 DOE Transition Workshop Agenda 1. Project Description and Objective 2. Team Members 3. Approach 4. Model Theory, Structure and Assumptions 5. Model Description 1. Logic 2. Features 3. Cost Components (Production, Delivery & Dispensing) 6. Los Angeles Transitional Example 7. Model Flexibility Page 2 of 39 26 January 2006 2006-1-26 DOE Transition Workshop Team Members & Interactions Start: May 2005 (effective) End: Summer 2007 * Directed Technologies, Inc.- Prime * Sentech, Inc., Research Partner * Air Products, Industrial Gas Supplier * Advisory Board * Graham Moore, Chevron Technology Ventures

460

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

SciTech Connect (OSTI)

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.

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

2014-01-01T23:59:59.000Z

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


461

Microsoft Word - gas price fact sheet.doc  

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

the prices seem to have spiked recently, the issues leading to the increase have been the prices seem to have spiked recently, the issues leading to the increase have been decades in the making. Our nation's refining capacity has been stagnant for thirty years, we have limited our options to increase domestic supply, and we depend more and more on foreign sources of oil that are becoming increasingly scarce because of rising demand in other countries like China and India. ♦ The energy bill just signed by the president last summer has helped us start to turn the corner and lead us in the right direction. The energy bill supports development of more oil and gas reserves here at home and in addition, and will help us develop new technologies to fuel our transportation needs like hydrogen fuel cell cars. ♦ In the coming months, we may continue to see high prices due to increased demand as the

462

Attachment 5 Volume II Pricing Matrix.xls  

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

PRICE MATRIX PRICE MATRIX ATTACHMENT 5 VOLUME II SUMMARY Logistics Services A-76 Study - Service Provider Price Offer for Phase in Period, Volume III. Service Provider Name: GSA Schedule Contract Number: Expiration Date of GSA Schedule Contract: Duration Base Period: 3 Calendar Years SUMMARY FORRESTAL Term of Performance TOTAL PROPOSED COST Phase-in Period 10/01/2004 - 06/30/2004 $ Base Period Year One 07/01/2005 - 06/30/2006 $ Year Two 07/01/2006 - 06/30/2007 $ Period Three 07/01/2007 - 09/30/2007 $ $ Option Period Year One 10/01/2007 - 09/30/2008 $ Period Two 10/01/2008 - 09/30/2009 $ $ SUMMARY GERMANTOWN Term of Performance TOTAL PROPOSED COST Phase-in Period 10/01/2004 - 06/30/2004 $ Base Period Year One

463

Price discovery in energy markets  

Science Journals Connector (OSTI)

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

Keshab Shrestha

2014-01-01T23:59:59.000Z

464

North Dakota Natural Gas Prices  

Gasoline and Diesel Fuel Update (EIA)

2007 2008 2009 2010 2011 2012 View 2007 2008 2009 2010 2011 2012 View History Wellhead Price 6.67 8.55 3.74 3.92 1967-2010 Imports Price 6.75 8.72 3.92 4.41 4.04 2.72 1994-2012 Exports Price -- -- -- -- -- -- 1999-2012 Pipeline and Distribution Use Price 1967-2005 Citygate Price 7.04 8.03 5.16 5.50 5.06 4.43 1984-2012 Residential Price 9.13 10.34 8.46 8.08 8.10 7.43 1967-2012 Percentage of Total Residential Deliveries included in Prices 100.0 100.0 100.0 100.0 100.0 100.0 1989-2012 Commercial Price 8.37 9.58 7.41 7.03 7.00 6.04 1967-2012 Percentage of Total Commercial Deliveries included in Prices 93.3 93.4 92.9 92.6 92.8 91.9 1990-2012 Industrial Price 6.86 8.30 5.21 5.22 5.10 4.48 1997-2012 Percentage of Total Industrial Deliveries included in Prices

465

New York Natural Gas Prices  

Gasoline and Diesel Fuel Update (EIA)

2007 2008 2009 2010 2011 2012 View 2007 2008 2009 2010 2011 2012 View History Wellhead Price 8.85 8.94 4.21 4.65 1967-2010 Imports Price 7.43 9.36 4.67 5.43 4.96 3.83 1989-2012 Exports Price 12.07 -- -- -- 4.69 3.61 1999-2012 Pipeline and Distribution Use Price 1967-2005 Citygate Price 9.02 10.07 7.35 6.86 6.04 5.35 1984-2012 Residential Price 15.73 16.78 15.05 14.04 13.71 12.97 1967-2012 Percentage of Total Residential Deliveries included in Prices 100.0 100.0 100.0 100.0 100.0 100.0 1989-2012 Commercial Price 11.82 12.86 10.72 10.88 9.32 7.84 1967-2012 Percentage of Total Commercial Deliveries included in Prices 100.0 100.0 100.0 100.0 100.0 100.0 1990-2012 Industrial Price 11.43 12.30 9.52 8.55 8.18 6.92 1997-2012 Percentage of Total Industrial Deliveries included in Prices

466

Investigating the option of installing small scale \\{PVs\\} on facility rooftops in a green supply chain  

Science Journals Connector (OSTI)

Abstract Industry practitioners and policy makers are under increasing pressure to promote green supply chains through the integration of renewable energy sources. Changing facilities from net energy users to net energy producers is a major concern for supply chain managers who are interested in greening their business. Building integrated photovoltaics (BIPV) is an innovative design idea to achieve energy positive buildings. In a BIPV building, photovoltaic (PV) arrays are integrated into the structure of the building in order to transform the incident solar radiation to clean energy that can be used in facility operations. This option is dependent on the economic attractiveness of the solar PVs, which, in return, depends on the policies (incentives, subsidies, feed-in tariff) in effect at the facility location, the efficiency of the \\{PVs\\} installed, and the amount of incident solar radiation at the facility location. We present an economic model that calculates the cost per kWh capacity of solar \\{PVs\\} installed and then integrate the decision of installing \\{PVs\\} of different sizes on the facility rooftops of a supply chain subject to the different environmental policies available. We study the implications of our model based on a sensitivity analysis for different carbon credit prices, PV generation costs, and feed-in tariff prices.

Tarek Abdallah; Ali Diabat; Jasper Rigter

2013-01-01T23:59:59.000Z

467

Fossil fuel prices and the economic and budgetary challenges of a small energy-importing economy: the case of Portugal  

Science Journals Connector (OSTI)

This paper examines the economic and budgetary impacts of fuel prices using a dynamic general equilibrium model of ... detailed modeling of the public sector. The fuel price scenarios are based on forecasts by th...

Alfredo Marvão Pereira; Rui Marvão Pereira

2013-12-01T23:59:59.000Z

468

Gasoline Prices Vary Among Locations  

Gasoline and Diesel Fuel Update (EIA)

5 5 Notes: The public is probably more knowledgeable about what they pay for gasoline than about anything else they use regularly. Most Americans are bombarded several times a day with the price of gasoline. Many people who phone our office don't only want to know why prices have risen, but why their prices are different than prices in some other area - the gasoline station two blocks away, the average price quoted on the news, the price their uncle is paying in a different region of the country. This chart shows some of the different state averages for a specific month. Besides taxes, these differences are due to factors such as distance from refining sources, and mix of reformulated versus conventional fuels. What this snapshot does not show,is that all of these prices can

469

Hydrogen Delivery Infrastructure Option Analysis  

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

Hydrogen Delivery Infrastructure Hydrogen Delivery Infrastructure Option Analysis Option Analysis DOE and FreedomCAR & Fuel Partnership Hydrogen Delivery and On-Board Storage Analysis Workshop January 25, 2005 Washington DC This presentation does not contain any proprietary or confidential information Tan-Ping Chen Nexant Jim Campbell Bhadra Grover Air Liquide Stefan Unnasch TIAX Glyn Hazelden GTI Graham Moore Chevron Matt Ringer NREL Ray Hobbs Pinnacle West 2 Presentation Outline Project Background Knowledge Collected and Preliminary Results for Each Delivery Option Summary of Observations Next Step Project Background Project Background 4 Delivery Options Option 1* GH delivery by new pipelines Option 2 Converting NG/oil pipelines for GH delivery Option 3 Blending GH into NG pipelines Option 4* GH tube trailers

470

Design options for clothes washers  

SciTech Connect (OSTI)

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

Biermayer, Peter J.

1996-10-01T23:59:59.000Z

471

The Impacts of Carbon Permit Prices on the U.S. Agricultural Sector  

E-Print Network [OSTI]

per ton carbon) in 2000, 2005, 2010, 2015, or 2020. A national agriculture model (ASMSOIL) is used usage ­ could be created under carbon permit pricing, which encourage greenhouse gas emissions of the introduction of carbon permit prices, which in turn may raise farm energy and other input prices. The key

McCarl, Bruce A.

472

Grant funding Mechanism Review Options for consultation In the Options set out below, it has been assumed that  

E-Print Network [OSTI]

1 Grant funding Mechanism Review ­ Options for consultation In the Options set out below grants In this model, all exploitation activity (including project maintenance and operations (M&O) for particle physics projects) would be funded via 3year (maximum) standard grants. The detailed model would

Crowther, Paul

473

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

E-Print Network [OSTI]

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

Lyuu, Yuh-Dauh

474

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

E-Print Network [OSTI]

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

Park, Haesun

2005-11-01T23:59:59.000Z

475

Rhode Island Natural Gas Prices  

Gasoline and Diesel Fuel Update (EIA)

2007 2008 2009 2010 2011 2012 View 2007 2008 2009 2010 2011 2012 View History Pipeline and Distribution Use Price 1967-2005 Citygate Price 10.62 10.07 6.70 10.05 8.22 4.11 1984-2012 Residential Price 16.66 16.89 17.06 16.48 15.33 14.29 1967-2012 Percentage of Total Residential Deliveries included in Prices 100.0 100.0 100.0 100.0 100.0 100.0 1989-2012 Commercial Price 14.91 15.53 15.14 14.46 13.33 12.31 1967-2012 Percentage of Total Commercial Deliveries included in Prices 66.5 66.2 68.0 61.2 56.9 55.4 1990-2012 Industrial Price 12.58 13.26 12.58 12.13 10.98 9.78 1997-2012 Percentage of Total Industrial Deliveries included in Prices 11.6 11.7 9.2 6.5 6.0 6.3 1997-2012 Vehicle Fuel Price 10.96 12.62 10.72 11.71 8.61 16.32 1990-2012 Electric Power Price

476

South Carolina Natural Gas Prices  

Gasoline and Diesel Fuel Update (EIA)

2007 2008 2009 2010 2011 2012 View 2007 2008 2009 2010 2011 2012 View History Pipeline and Distribution Use Price 1967-2005 Citygate Price 9.10 10.27 6.70 6.17 5.67 4.57 1984-2012 Residential Price 17.15 16.84 14.91 13.01 12.93 13.25 1967-2012 Percentage of Total Residential Deliveries included in Prices 100.0 100.0 100.0 100.0 100.0 100.0 1989-2012 Commercial Price 13.54 14.26 11.16 10.34 9.68 8.67 1967-2012 Percentage of Total Commercial Deliveries included in Prices 94.9 94.9 93.5 92.7 91.1 90.6 1990-2012 Industrial Price 8.84 11.03 6.06 6.12 5.60 4.30 1997-2012 Percentage of Total Industrial Deliveries included in Prices 47.3 47.3 47.6 46.3 45.4 45.1 1997-2012 Vehicle Fuel Price 10.84 13.30 12.50 11.16 8.85 9.77 1994-2012 Electric Power Price

477

New Hampshire Natural Gas Prices  

Gasoline and Diesel Fuel Update (EIA)

2007 2008 2009 2010 2011 2012 View 2007 2008 2009 2010 2011 2012 View History Imports Price 7.52 9.72 5.04 5.48 5.45 4.08 1999-2012 Exports Price -- 7.61 -- -- 7.54 2.62 2007-2012 Pipeline and Distribution Use Price 1980-2005 Citygate Price 9.71 10.94 9.53 8.83 8.07 7.15 1984-2012 Residential Price 16.71 16.45 15.33 14.46 14.67 13.74 1980-2012 Percentage of Total Residential Deliveries included in Prices 100.0 100.0 100.0 100.0 100.0 100.0 1989-2012 Commercial Price 15.42 15.21 14.37 12.72 11.46 11.95 1977-2012 Percentage of Total Commercial Deliveries included in Prices 71.2 58.9 53.9 57.3 55.6 51.8 1990-2012 Industrial Price 13.45 14.37 12.86 11.59 11.57 10.48 1997-2012 Percentage of Total Industrial Deliveries included in Prices 15.3 17.7 20.6 12.8 10.7 9.0 1997-2012

478

North Carolina Natural Gas Prices  

Gasoline and Diesel Fuel Update (EIA)

2007 2008 2009 2010 2011 2012 View 2007 2008 2009 2010 2011 2012 View History Pipeline and Distribution Use Price 1967-2005 Citygate Price 8.55 10.32 6.44 6.02 5.45 4.00 1984-2012 Residential Price 15.70 16.58 14.25 12.50 12.55 12.19 1967-2012 Percentage of Total Residential Deliveries included in Prices 100.0 100.0 100.0 100.0 100.0 100.0 1989-2012 Commercial Price 12.77 14.19 11.63 10.18 9.64 8.62 1967-2012 Percentage of Total Commercial Deliveries included in Prices 83.0 84.5 85.2 84.8 84.4 83.5 1990-2012 Industrial Price 9.98 12.10 8.66 8.24 7.70 6.37 1997-2012 Percentage of Total Industrial Deliveries included in Prices 21.2 19.1 13.6 11.6 9.7 8.8 1997-2012 Vehicle Fuel Price 10.64 12.79 11.21 9.77 12.13 6.48 1990-2012 Electric Power Price

479

West Virginia Natural Gas Prices  

Gasoline and Diesel Fuel Update (EIA)

2007 2008 2009 2010 2011 2012 View 2007 2008 2009 2010 2011 2012 View History Wellhead Price NA NA NA NA 1967-2010 Pipeline and Distribution Use Price 1967-2005 Citygate Price 8.62 10.32 7.06 6.31 5.91 4.99 1984-2012 Residential Price 14.59 14.51 14.75 11.39 10.91 10.83 1967-2012 Percentage of Total Residential Deliveries included in Prices 100.0 100.0 100.0 100.0 100.0 100.0 1989-2012 Commercial Price 13.37 13.54 14.24 10.27 9.65 9.39 1967-2012 Percentage of Total Commercial Deliveries included in Prices 58.6 53.5 53.6 51.0 49.2 48.4 1990-2012 Industrial Price 8.51 10.94 5.55 5.40 4.89 3.56 1997-2012 Percentage of Total Industrial Deliveries included in Prices 16.2 19.0 17.4 14.7 15.6 16.2 1997-2012 Vehicle Fuel Price -- -- -- -- -- -- 1992-2012

480

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

E-Print Network [OSTI]

??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)

Huang, Siang-hua

2007-01-01T23:59:59.000Z

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


481

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

E-Print Network [OSTI]

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

Hwang, Min; Quigley, John M.

2007-01-01T23:59:59.000Z

482

Wheat and corn prices and energy markets: spillover effects  

Science Journals Connector (OSTI)

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

Ibrahim A. Onour; Bruno S. Sergi

2012-01-01T23:59:59.000Z

483

Recent Weekly Retail Price Changes Have Been as Expected  

Gasoline and Diesel Fuel Update (EIA)

1 1 Notes: Using the results of this research, EIA has been able to create a model that takes observed changes in spot prices over the previous weeks, and forecasts what this week's retail price change will be. As you can see from this chart, we've been fairly successful. This chart shows that the model is quite accurate at forecasting one week ahead. In fact, in the first 28 weeks of this year, our model correctly forecasted the direction of the retail price change 26 times, for an accuracy rate of 93 percent . Additionally, as you can see, most weeks it did a very good job of forecasting the relative magnitude of the increase or decrease in retail prices. We're still refining this model, and customizing it for each region, so we've got quite a bit of work left

484

The Effects of Multiple Green Factors on Condominium Prices  

Science Journals Connector (OSTI)

This paper analyzes the transaction prices of green buildings assessed on the basis of multiple green factors. Our theoretical model demonstrates that the initial green premium can be negative but becomes positiv...

Jiro Yoshida; Ayako Sugiura

2014-04-01T23:59:59.000Z

485

Essays on oil price shocks and financial markets   

E-Print Network [OSTI]

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

Wang, Jiayue

2012-06-26T23:59:59.000Z

486

Hotelling Revisited: Oil Prices and Endogenous Technological Progress  

Science Journals Connector (OSTI)

This article examines the Hotelling model of optimal nonrenewable resource extraction in light of empirical evidence that petroleum and minerals prices have been trendless despite resource scarcity. In ... if the...

C.-Y. Cynthia Lin; Haoying Meng; Tsz Yan Ngai…

2009-03-01T23:59:59.000Z

487

Prediction of prices for oil products in the internal market  

Science Journals Connector (OSTI)

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

Yu. A. Bakman

2014-01-01T23:59:59.000Z

488

The Alternative Fuel Price Report  

Alternative Fuels and Advanced Vehicles Data Center [Office of Energy Efficiency and Renewable Energy (EERE)]

New England New England New England New England Central Atlantic Central Atlantic Central Atlantic Central Atlantic Lower Atlantic Lower Atlantic Lower Atlantic Lower Atlantic Gulf Coast Gulf Coast Gulf Coast Gulf Coast West Coast West Coast West Coast West Coast Rocky Mountain Rocky Mountain Rocky Mountain Rocky Mountain Midwest Midwest Midwest Midwest Map of U.S. Regions Map of U.S. Regions Map of U.S. Regions Map of U.S. Regions THE ALTERNATIVE FUEL PRICE REPORT Alternative Fuel Prices Across the Nation March 28, 2002 his is the fifth issue of the Clean Cities Alternative Fuel Price Report, a quarterly newsletter keeping you up to date on the price of alternative fuels in the U.S. and their relation to gasoline and diesel prices. This issue discusses prices that were gathered from Clean Cities coordinators and stakeholders during the months

489

Volatility of Power Grids under Real-Time Pricing  

E-Print Network [OSTI]

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

Roozbehani, Mardavij; Mitter, Sanjoy K

2011-01-01T23:59:59.000Z

490

Optimal operating strategies coping with uncertainties of world oil prices for China's strategic petroleum reserve  

Science Journals Connector (OSTI)

Since 2003, China has begun to establish its own strategic petroleum reserves (SPR) to strengthen its oil supply security. Due to the unpredictable feature of the oil supply interruption or sudden price rising, questions about operating the SPR become an important issue for China's policy makers. This paper analysed the operating strategies for China's SPR by developing a stochastic dynamic programming model, which considered uncertainties of the world oil prices and the construction process of China's SPR sites. Different situations, including normal world oil prices, short-term world oil price rising, continuously high world oil prices and continuously oil price decrease were considered and discussed. Optimal SPR operating strategies coping with uncertainties of world oil prices for China were derived and relevant policy implications were obtained. The influence effects on world oil price caused by the acquisition or drawdown actions of China's SPR were considered, too.

Xin Chen; Hailin Mu

2013-01-01T23:59:59.000Z

491

New Jersey Gasoline Price Data  

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

Jersey Jersey Exit Fueleconomy.gov The links below are to pages that are not part of the fueleconomy.gov. We offer these external links for your convenience in accessing additional information that may be useful or interesting to you. Selected Cities Edison EdisonGasPrices.com Automotive.com MapQuest.com Elizabeth ElizabethGasPrices.com Automotive.com MapQuest.com Jersey City JerseyCityGasPrices.com Automotive.com MapQuest.com Newark NewarkGasPrices.com Automotive.com MapQuest.com Paterson PatersonGasPrices.com Automotive.com MapQuest.com Toms River TomsRiverGasPrices.com Automotive.com MapQuest.com Trenton TrentonGasPrices.com Automotive.com Mapquest.com Other New Jersey Cities NewJerseyGasPrices.com (search by city or ZIP code) - GasBuddy.com New Jersey Gas Prices (selected cities) - GasBuddy.com

492

,"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"...

493

Stephanie Price | Department of Energy  

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

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

494

,"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",13,"Annual",2013,"6301967" ,"Release Date:","10312014" ,"Next...

495

The Study on Oil Prices’ Effect on International Gas Prices Based on Using Wavelet Based Boltzmann Cooperative Neural Network  

Science Journals Connector (OSTI)

In this paper, we build up WBNNK model based on wavelet-based cooperative Boltzmann neural network and kernel density estimation. The international oil prices time series is decomposed into approximate components...

Xiazi Yi; Zhen Wang

2013-01-01T23:59:59.000Z

496

Natural Gas Wellhead Price  

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

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

497

NYMEX Futures Prices  

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

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

498

Option to Acquire or Divest a Joint Venture  

E-Print Network [OSTI]

of uncertainty in 4 If Vi(0) ? Vj(0), the exercise of the option is likely to be accelerated under Vi(0) > Vj(0) and µi > µj and decelerated under Vi(0) µj. In addition, the initial negotiation on the formation of the JV is likely to be more...; Folta and Leiblein, 1994; Folta, 1998), there has been limited effort to scrutinize the properties of JV options (e.g., options to acquire, divest and expand) through rigorous theoretical modeling. As the extensive work on financial and real options...

Chi, Tailan

2000-01-01T23:59:59.000Z

499

Peak load management: Potential options  

SciTech Connect (OSTI)

This report reviews options that may be alternatives to transmission construction (ATT) applicable both generally and at specific locations in the service area of the Bonneville Power Administration (BPA). Some of these options have potential as specific alternatives to the Shelton-Fairmount 230-kV Reinforcement Project, which is the focus of this study. A listing of 31 peak load management (PLM) options is included. Estimated costs and normalized hourly load shapes, corresponding to the respective base load and controlled load cases, are considered for 15 of the above options. A summary page is presented for each of these options, grouped with respect to its applicability in the residential, commercial, industrial, and agricultural sectors. The report contains comments on PLM measures for which load shape management characteristics are not yet available. These comments address the potential relevance of the options and the possible difficulty that may be encountered in characterizing their value should be of interest in this investigation. The report also identifies options that could improve the efficiency of the three customer utility distribution systems supplied by the Shelton-Fairmount Reinforcement Project. Potential cogeneration options in the Olympic Peninsula are also discussed. These discussions focus on the options that appear to be most promising on the Olympic Peninsula. Finally, a short list of options is recommended for investigation in the next phase of this study. 9 refs., 24 tabs.

Englin, J.E.; De Steese, J.G.; Schultz, R.W.; Kellogg, M.A.

1989-10-01T23:59:59.000Z

500

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

E-Print Network [OSTI]

deregulation, risk management, options, market risks, futures, energy prices. I. INTRODUCTION The restructuring with the uncertainty of energy that will be generated. The last two are considered as market risks since together in a deregulated market. The hedging is accomplished on the earnings of the generator and motivated by the market

Catholic University of Chile (Universidad Católica de Chile)