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Stochastic Modeling of Electricity and Related Markets.
Title:
Stochastic Modeling of Electricity and Related Markets.
Author:
Benth, Fred Espen.
ISBN:
9789812812315
Personal Author:
Physical Description:
1 online resource (352 pages)
Series:
Advanced Series on Statistical Science and Applied Probability ; v.11

Advanced Series on Statistical Science and Applied Probability
Contents:
Contents -- Preface -- 1. A Survey of Electricity and Related Markets -- 1.1 The electricity markets -- 1.1.1 Electricity contracts with physical delivery . -- 1.1.2 Financial electricity contracts -- 1.2 The gas market -- 1.2.1 Futures and options on gas -- 1.3 The temperature market -- 1.4 Other related energy markets -- 1.5 Stochastic modelling of energy markets -- 1.5.1 Spot price modelling -- 1.5.2 Forward and swap pricing in electricity and related markets -- 1.6 Outline of the book -- 2. Stochastic Analysis for Independent Increment Processes -- 2.1 Definitions -- 2.2 Stochastic integration with respect to martingales -- 2.3 Random jump measures and stochastic integration -- 2.4 The Lévy-Kintchine decomposition and semimartingales -- 2.5 The Itˆo Formula for semimartingales -- 2.6 Examples of independent increment processes -- 2.6.1 Time-inhomogeneous compound Poisson process -- 2.6.2 Models based on the generalized hyperbolic distribu- tions -- 2.6.3 Models based on the Variance-Gamma and CGMY distributions -- 3. Stochastic Models for the Energy Spot Price Dynamics -- 3.1 Introduction -- 3.2.1 Geometric models -- 3.2.2 Arithmetic models -- 3.3 The autocorrelation function of multi-factor Ornstein- Uhlenbeck processes -- 3.4 Simulation of stationary Ornstein-Uhlenbeck processes: a case study with the arithmetic spot model -- 4. Pricing of Forwards and Swaps Based on the Spot Price -- 4.1 Risk-neutral forward and swap price modelling -- 4.1.1 Risk-neutral probabilities and the Esscher transform -- 4.1.2 The Esscher transform for some specific models -- 4.2 Currency conversion for forward and swap prices -- 4.3 Pricing of forwards -- 4.3.1 The geometric case -- 4.3.2 The arithmetic case . -- 4.4 Pricing of swaps -- 4.4.1 The geometric case -- 4.4.2 The arithmetic case -- 5. Applications to the Gas Markets -- 5.1 Modelling the gas spot price.

5.1.1 Empirical analysis of UK gas spot prices -- 5.1.2 Residuals modelled as a mixed jump-diffusion process -- 5.1.3 NIG distributed residuals -- 5.2 Pricing of gas futures -- 5.3 Inference for multi-factor processes -- 5.3.1 Kalman filtering -- 6. Modelling Forwards and Swaps Using the Heath-Jarrow- Morton Approach -- 6.1 The HJM modelling idea for forward contracts -- 6.2 HJM modelling of forwards -- 6.3 HJM modelling of swaps -- 6.3.1 Swap models based on forwards -- 6.4 The market models -- 6.4.1 Modelling with jump processes -- 7. Constructing Smooth Forward Curves in Electricity Markets -- 7.1 Swap and forward prices -- 7.1.1 Basic relationships -- 7.1.2 A continuous seasonal forward curve -- 7.2 Maximum smooth forward curve -- 7.2.1 A smooth forward curve constrained by closing prices -- 7.2.2 A smooth forward curve constrained by bid and ask spreads -- 7.3 Putting the algorithm to work . -- 7.3.1 Nord Pool example I: A smooth curve -- 7.3.2 Nord Pool example II: Preparing a data set and analysing volatility -- 8. Modelling of the Electricity Futures Market -- 8.1 The Nord Pool market and financial contracts -- 8.2 Preparing data sets . -- 8.3 Descriptive statistics -- 8.4 A market model for electricity futures -- 8.5 Principal component analysis -- 8.5.1 Principal component analysis of the total data set -- 8.5.2 Principal component analysis for individual market segments -- 8.6 Estimating a parametric multi-factor market model -- 8.6.1 Seasonal volatility -- 8.6.2 Maturity volatilities -- 8.7 Normalised logreturns and heavy tails -- 8.8 Final remarks -- 9. Pricing and Hedging of Energy Options -- 9.1 Pricing and hedging options on forwards and swaps -- 9.1.1 The case of no jumps - the Black-76 Formula -- 9.1.2 The case of jumps -- 9.2 Exotic Options -- 9.2.1 Spread options -- 9.2.2 Asian options.

9.3 Case Study: Valuation of spark spread options - a direct approach . -- 9.3.1 Modelling and analysis of spark spread options -- 10.2Modelling the dynamics of temperature -- 10.3 Empirical analysis of Stockholm temperature dynamics -- 10.3.1 Description of the data -- 10.3.2 Estimating the CAR(p) models -- 10.3.2.1 Fitting an AR(1) model -- 10.3.2.2 Fitting an AR(3) model -- 10.3.2.3 Identification of the parameters in the CAR(p) model -- 10.4 Temperature derivatives pricing -- 10.4.1 CAT futures -- 10.4.3 Frost Day index futures -- 10.4.4 Application to futures on temperatures in Stockholm -- Appendix A List of abbreviations -- Bibliography -- Index.
Abstract:
The markets for electricity, gas and temperature have distinctive features, which provide the focus for countless studies. For instance, electricity and gas prices may soar several magnitudes above their normal levels within a short time due to imbalances in supply and demand, yielding what is known as spikes in the spot prices. The markets are also largely influenced by seasons, since power demand for heating and cooling varies over the year. The incompleteness of the markets, due to nonstorability of electricity and temperature as well as limited storage capacity of gas, makes spot-forward hedging impossible. Moreover, futures contracts are typically settled over a time period rather than at a fixed date. All these aspects of the markets create new challenges when analyzing price dynamics of spot, futures and other derivatives. This book provides a concise and rigorous treatment on the stochastic modeling of energy markets. Ornstein-Uhlenbeck processes are described as the basic modeling tool for spot price dynamics, where innovations are driven by time-inhomogeneous jump processes. Temperature futures are studied based on a continuous higher-order autoregressive model for the temperature dynamics. The theory presented here pays special attention to the seasonality of volatility and the Samuelson effect. Empirical studies using data from electricity, temperature and gas markets are given to link theory to practice. Sample Chapter(s). A Survey of Electricity and Related Markets (331 KB). Contents: A Survey of Electricity and Related Markets; Stochastic Analysis for Independent Increment Processes; Stochastic Models for the Energy Spot Price Dynamics; Pricing of Forwards and Swaps Based on the Spot Price; Applications to the Gas Markets; Modeling Forwards and Swaps Using the Heath-Jarrow-Morton Approach; Constructing Smooth Forward Curves in

Electricity Markets; Modeling of the Electricity Futures Market; Pricing and Hedging of Energy Options; Analysis of Temperature Derivatives. Readership: Researchers in energy and commodity markets, and mathematical finance.
Local Note:
Electronic reproduction. Ann Arbor, Michigan : ProQuest Ebook Central, 2017. Available via World Wide Web. Access may be limited to ProQuest Ebook Central affiliated libraries.
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