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Modelling Electricity Prices with Forward Looking Capacity Constraints


Álvaro Cartea


University College London

Marcelo G. Figueroa


University of London - Birkbeck College

Hélyette Geman


University of London, Birkbeck College - School of Economics, Mathematics and Statistics

January 16, 2008

Applied Mathematical Finance, Volume 16, Issue 2, 2009, p 103-122

Abstract:     
We present a spot price model for wholesale electricity prices which incorporates forward looking information that is available to all market players. We focus on information that measures the extent to which the capacity of the England and Wales generation park will be constrained over the next 52 weeks. We propose a measure of 'tight market conditions', based on capacity constraints, which identifies the weeks of the year when price spikes are more likely to occur. We show that the incorporation of this type of forward looking information, not uncommon in the electricity markets, improves the modeling of spikes (timing and magnitude) and the different speeds of mean reversion.

Number of Pages in PDF File: 36

Keywords: capacity constraints, mean reversion, electricity, indicated demand, electricity indicated generation, regime switching model

JEL Classification: G12, G13

working papers series


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Date posted: January 26, 2008 ; Last revised: March 11, 2013

Suggested Citation

Cartea, Álvaro, Figueroa, Marcelo G. and Geman, Hélyette, Modelling Electricity Prices with Forward Looking Capacity Constraints (January 16, 2008). Applied Mathematical Finance, Volume 16, Issue 2, 2009, p 103-122. Available at SSRN: http://ssrn.com/abstract=1087389 or http://dx.doi.org/10.2139/ssrn.1087389

Contact Information

Álvaro Cartea (Contact Author)
University College London ( email )
Gower Street
London, WC1E 6BT
United Kingdom
HOME PAGE: http://www.cartea.net
Marcelo G. Figueroa
University of London - Birkbeck College ( email )
Malet Street
London, WC1E 7HX
United Kingdom
Helyette Geman
University of London, Birkbeck College - School of Economics, Mathematics and Statistics ( email )
Malet Street
London, WC1E 7HX
United Kingdom
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