Overview

Electricity markets are structurally different to othercommodities, and the real-time dynamic balancing of the electricitynetwork involves many external factors. Because of this, it is nota simple matter to transfer conventional models of financial timeseries analysis to wholesale electricity prices. The rationale for this compilation of chapters from internationalauthors is, therefore, to provide econometric analysis of wholesalepower markets around the world, to give greater understanding oftheir particular characteristics, and to assess the applicabilityof various methods of price modelling. Researchers and professionals in this sector will find the book aninvaluable guide to the most important state-of-the-art modellingtechniques which are converging to define the special approachesnecessary for unravelling and forecasting the behaviour ofelectricity prices. It is a high-quality synthesis of the work offinancial engineering, industrial economics and power systemsanalysis, as they relate to the behaviour of competitiveelectricity markets.

Full Product Details

Author:   Derek W. Bunn (London Business School)
Publisher:   John Wiley & Sons Inc
Imprint:   John Wiley & Sons Inc
Dimensions:   Width: 17.30cm , Height: 2.60cm , Length: 25.40cm
Weight:   0.839kg
ISBN:  

9780470848609

ISBN 10:   047084860
Pages:   360
Publication Date:   24 February 2004
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   Out of stock  
The supplier is temporarily out of stock of this item. It will be ordered for you on backorder and shipped when it becomes available.

Table of Contents

List of Contributors. Preface. 1 Structural and Behavioural Foundations of Competitive Electricity Prices (Derek W. Bunn). PART I: PRICES AND STRATEGIC COMPETITION. 2 Competitors? Response Representation for Market Simulation in the Spanish Daily Market (Efraim Centeno Hernáez, Julián Barquín Gil, José Ignacio de la Fuente León, Antonio Muñoz San Roque, Mariano J. Ventosa Rodríguez, Javier García González, Alicia Mateo González, and Agustín Martín Calmarza). 2.1 Introduction. 2.2 Hourly bidding-based Spanish electricity markets. 2.3 A two-phase clustering procedure for the analysis of bid functions. 2.4 Forecasting methods for residual demand functions using time series (ARIMA) models. 2.5 Discovering electricity market states for forecasting the residual demand function using input?output hidden Markov models. 2.6 Conjectural variations approach for modelling electricity markets. 2.7 Conclusions. Appendix: Nomenclature. References. 3 Complementarity-Based Equilibrium Modeling for Electric Power Markets (Benjamin F. Hobbs and Udi Helman). 3.1 Introduction. 3.2 Definitions. 3.3 A general complementarity-based model of energy commodity markets. 3.4 A comparison of two approaches to modeling Cournot generators on a transmission network. 3.5 A large-scale application: the North American Eastern Interconnection. 3.6 Conclusion. Acknowledgments. References. 4 Price Impact of Horizontal Mergers in the British Generation Market (John Bower). 4.1 Introduction. 4.2 England and Wales wholesale electricity market. 4.3 Analysis. 4.4 Price forecast. General references. Ofgem references. PART II: SPOT MARKET DYNAMICS. 5 Testing for Weekly Seasonal Unit Roots in the Spanish Power Pool (Angel Le´on and Antonio Rubia). 5.1 Introduction. 5.2 Data. 5.3 Testing for seasonal unit roots. 5.4 Concluding remarks. Appendix A: Prewhitening procedure. Appendix B: Critical values of the HEGY test. Acknowledgements. References. 6 Nonlinear Time Series Analysis of Alberta?s Deregulated Electricity Market (Apostolos Serletis and Ioannis Andreadis). 6.1 Introduction. 6.2 A noise model. 6.3 A multifractal formalism setting. 6.4 On turbulent behavior. 6.5 On nonlinearity. 6.6 On chaos. 6.7 Conclusion. Acknowledgments. References. 7 Quantile-Based Probabilistic Models for Electricity Prices (Shi-Jie Deng and Wenjiang Jiang). 7.1 Introduction. 7.2 Quantile-based distributions and the modelling of marginal distributions of electricity price. 7.3 Quantile-GARCH models and the modelling of time series of electricity price. 7.4 Parameter Inference. 7.5 Conclusion. Acknowledgements. References. 8 Forecasting Time-Varying Covariance Matrices in the Intradaily Spot Market of Argentina (Angel León and Antonio Rubia). 8.1 Introduction. 8.2 VAR analysis for block bids. 8.3 Modelling the conditional covariance matrix. 8.4 Forecasting conditional covariance matrices. 8.5 Concluding remarks. Acknowledgements. References. PART III: SPATIAL PRICE INTERACTIONS. 9 Identifying Dynamic Interactions in Western US Spot Markets (Christine A. Jerko, James W. Mjelde and David A. Bessler). 9.1 Introduction. 9.2 Data. 9.3 Methods. 9.4 Results. 9.5 Discussion. References. 10 Transmission of Prices and Volatility in the Australian Electricity Spot Markets (Andrew C. Worthington and Helen Higgs). 10.1 Introduction. 10.2 Data and summary statistics. 10.3 Multivariate GARCH model. 10.4 Empirical results. 10.5 Conclusion. References. PART IV: FORWARD PRICES. 11 Forecasting Higher Moments of the Power Price Using Medium-Term Equilibrium Economics and the Value of Security of Supply (Chris Harris). 11.1 Introduction. 11.2 Construction of the moments of price. 11.3 Worked example. 11.4 Commentary. 11.5 Conclusions. References. 12 Modeling Electricity Forward Curve Dynamics in the Nordic Market (Nicolas Audet, Pirja Heiskanen, Jussi Keppo and Iivo Vehviläinen). 12.1 Introduction. 12.2 The model. 12.3 Forward model in the Nordic market. 12.4 Model usage examples. 12.5 Conclusion. Appendix: Estimation of model parameters. Acknowledgments. References. 13 The Forward Curve Dynamic and Market Transition Forecasts (Svetlana Borovkova). 13.1 The term structure of commodity futures prices. 13.2 Forecasting market transitions. 13.3 Critical regions and bootstrap methods. 13.4 Application to electricity and oil futures. 13.5 Concluding remarks. References. PART V: FORECASTING AND RISK MANAGEMENT. 14 Price Modelling for Profit at Risk Management (Jacob Lemming). 14.1 Introduction. 14.2 Electricity price modelling. 14.3 A profit at risk risk management model. 14.4 Modelling input parameters. 14.5 Experimental results. 14.6 Conclusions. References. 15 ForecastingWeather Variable Densities for Weather Derivatives and Electricity Prices (James W. Taylor). 15.1 Introduction. 15.2 Weather ensemble predictions. 15.3 Univariate time series modelling of weather variables. 15.4 Empirical comparison of weather point forecasts. 15.5 Empirical comparison of weather quantile forecasts. 15.6 Summary of the analysis of temperature, wind speed and cloud cover. 15.7 Forecasting the payoff density for a weather derivative. 15.8 Electricity demand modelling. 15.9 Concluding comments. References. Index.

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Author Information

DEREK W. BUNN is currently Professor and Chairman of the Decision Sciences subject area and Director of the Energy MarketsGroup at the London Business School, having held previous appointments at Oxford and Stanford universities. As a prominent international advisor on energy economics, he has consulted formany global energy companies and advised a number of government agencies. Author of over 150 research papers and 9 books in theareas of forecasting, decision analysis and energy economics, hehas also been chief editor of the Journal of Forecasting since 1984. His research and practical involvement with the electricity sector extends back over 25 years experience.

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