DocumentCode
2592618
Title
Electricity forward and volatility curves computation based on Monte Carlo simulation
Author
Vázquez, Miguel ; Barquin, Julián ; Batlle, Carlos
Author_Institution
Inst. de Investigacion Tecnologica, Univ. Pontificia Comillas, Madrid
fYear
2006
fDate
11-15 June 2006
Firstpage
1
Lastpage
5
Abstract
As a result of the deregulation processes, liberalized markets, where electricity futures and derivatives are traded, have arisen all over the world. Utilities, consumers, traders and, generally, market agents must do quantitative assessments of their positions. Basic analytical data are the forward and volatility curves of the traded products. However, electricity price dynamics is very different of other commodities prices dynamics. Furthermore, electricity prices of different markets are usually very different of each other. As consequence, most analytical approaches to compute forward and volatility curves, as well as other statistics useful to risk management tasks, are very complex or do not exist. In this paper, we propose to compute the forward and volatility curves by Monte Carlo simulation. The main contribution lies in the used variance reduction techniques, needed to achieve this objective at reasonable computational cost. A case example consisting of the study of the EEX prices is also provided
Keywords
Monte Carlo methods; power markets; pricing; EEX price; Monte Carlo simulation; deregulation process; electricity price dynamics; forward curve; liberalized market; quantitative assessment; risk management; variance reduction technique; volatility curve computation; Control systems; Data analysis; Electricity supply industry deregulation; Forward contracts; Power system modeling; Power system simulation; Power systems; Pricing; Risk management; Statistics; Control variates; Electricity derivatives; Monte Carlo; Variance reduction; Volatility;
fLanguage
English
Publisher
ieee
Conference_Titel
Probabilistic Methods Applied to Power Systems, 2006. PMAPS 2006. International Conference on
Conference_Location
Stockholm
Print_ISBN
978-91-7178-585-5
Type
conf
DOI
10.1109/PMAPS.2006.360340
Filename
4202352
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