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Pricing swing options in the electricity markets under regime-switching uncertainty


  • M. I. M. Wahab
  • Z. Yin
  • N. C. P. Edirisinghe


The spot price market for electricity is highly volatile. The time series of the daily average electricity price is characterised by seasonality, mean reversion, jumps, and regime-switching processes. In electricity markets, 'swing' contracts, which can provide some protection against the day-to-day price fluctuations, are used to incorporate flexibility in acquiring given quantities of electricity. We develop a lattice approach for the valuation of swing options by modelling the daily average price of electricity by a regime-switching process that utilises three regimes, consisting of Brownian motions and a mean-reverting process. Various numerical examples are presented to illustrate the methodology.

Suggested Citation

  • M. I. M. Wahab & Z. Yin & N. C. P. Edirisinghe, 2010. "Pricing swing options in the electricity markets under regime-switching uncertainty," Quantitative Finance, Taylor & Francis Journals, vol. 10(9), pages 975-994.
  • Handle: RePEc:taf:quantf:v:10:y:2010:i:9:p:975-994 DOI: 10.1080/14697680903547899

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    References listed on IDEAS

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    Cited by:

    1. Marcus Eriksson & Jukka Lempa & Trygve Nilssen, 2014. "Swing options in commodity markets: a multidimensional Lévy diffusion model," Mathematical Methods of Operations Research, Springer;Gesellschaft für Operations Research (GOR);Nederlands Genootschap voor Besliskunde (NGB), vol. 79(1), pages 31-67, February.
    2. repec:spr:compst:v:79:y:2014:i:1:p:31-67 is not listed on IDEAS
    3. Elias, R.S. & Wahab, M.I.M. & Fang, L., 2014. "A comparison of regime-switching temperature modeling approaches for applications in weather derivatives," European Journal of Operational Research, Elsevier, vol. 232(3), pages 549-560.


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