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A two-factor model for the electricity forward market

Author

Listed:
  • Rudiger Kiesel
  • Gero Schindlmayr
  • Reik Borger

Abstract

This paper provides a two-factor model for electricity futures that captures the main features of the market and fits the term structure of volatility. The approach extends the one-factor model of Clewlow and Strickland to a two-factor model and modifies it to make it applicable to the electricity market. We will particularly deal with the existence of delivery periods in the underlying futures. Additionally, the model is calibrated to options on electricity futures and its performance for practical application is discussed.

Suggested Citation

  • Rudiger Kiesel & Gero Schindlmayr & Reik Borger, 2009. "A two-factor model for the electricity forward market," Quantitative Finance, Taylor & Francis Journals, vol. 9(3), pages 279-287.
  • Handle: RePEc:taf:quantf:v:9:y:2009:i:3:p:279-287
    DOI: 10.1080/14697680802126530
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    References listed on IDEAS

    as
    1. Damiano Brigo & Jan Liinev, 2005. "On the distributional distance between the lognormal LIBOR and swap market models," Quantitative Finance, Taylor & Francis Journals, vol. 5(5), pages 433-442.
    2. Les Clewlow & Chris Strickland, 1999. "Valuing Energy Options in a One Factor Model Fitted to Forward Prices," Research Paper Series 10, Quantitative Finance Research Centre, University of Technology, Sydney.
    3. Ventosa, Mariano & Baillo, Alvaro & Ramos, Andres & Rivier, Michel, 2005. "Electricity market modeling trends," Energy Policy, Elsevier, vol. 33(7), pages 897-913, May.
    4. Levy, Edmond, 1992. "Pricing European average rate currency options," Journal of International Money and Finance, Elsevier, vol. 11(5), pages 474-491, October.
    5. Iivo Vehvilainen, 2002. "Basics of electricity derivative pricing in competitive markets," Applied Mathematical Finance, Taylor & Francis Journals, vol. 9(1), pages 45-60.
    6. Alvaro Cartea & Marcelo Figueroa, 2005. "Pricing in Electricity Markets: A Mean Reverting Jump Diffusion Model with Seasonality," Applied Mathematical Finance, Taylor & Francis Journals, vol. 12(4), pages 313-335.
    7. repec:dau:papers:123456789/607 is not listed on IDEAS
    8. Juri Hinz & Lutz Von Grafenstein & Michel Verschuere & Martina Wilhelm, 2005. "Pricing electricity risk by interest rate methods," Quantitative Finance, Taylor & Francis Journals, vol. 5(1), pages 49-60.
    9. Huisman, Ronald & Mahieu, Ronald, 2003. "Regime jumps in electricity prices," Energy Economics, Elsevier, vol. 25(5), pages 425-434, September.
    10. Rafal Weron, 2006. "Modeling and Forecasting Electricity Loads and Prices: A Statistical Approach," HSC Books, Hugo Steinhaus Center, Wroclaw University of Technology, number hsbook0601.
    Full references (including those not matched with items on IDEAS)

    Citations

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    Cited by:

    1. Joanna Janczura & Rafal Weron, 2012. "Inference for Markov-regime switching models of electricity spot prices," HSC Research Reports HSC/12/01, Hugo Steinhaus Center, Wroclaw University of Technology.
    2. Cartea, Álvaro & González-Pedraz, Carlos, 2012. "How much should we pay for interconnecting electricity markets? A real options approach," Energy Economics, Elsevier, vol. 34(1), pages 14-30.
    3. Hepperger, Peter, 2012. "Hedging electricity swaptions using partial integro-differential equations," Stochastic Processes and their Applications, Elsevier, vol. 122(2), pages 600-622.
    4. Benth, Fred Espen & Paraschiv, Florentina, 2016. "A Structural Model for Electricity Forward Prices," Working Papers on Finance 1611, University of St. Gallen, School of Finance.
    5. Ali Al-Aradi & Alvaro Cartea & Sebastian Jaimungal, 2018. "Technical Uncertainty in Real Options with Learning," Papers 1803.05831, arXiv.org, revised Jul 2018.
    6. Birkelund, Ole Henrik & Haugom, Erik & Molnár, Peter & Opdal, Martin & Westgaard, Sjur, 2015. "A comparison of implied and realized volatility in the Nordic power forward market," Energy Economics, Elsevier, vol. 48(C), pages 288-294.
    7. Nijman, Luuk, 2012. "The impact of the new wave of financial regulation for European energy markets," Energy Policy, Elsevier, vol. 47(C), pages 468-477.
    8. Michel Culot & Valérie Goffin & Steve Lawford & Sébastien De Meten & Yves Smeers, 2013. "Practical stochastic modelling of electricity prices," Post-Print hal-01021603, HAL.
    9. Hanfeld, Marc & Schlüter, Stephan, 2016. "Operating a swing option on today's gas markets: How least squares Monte Carlo works and why it is beneficial," FAU Discussion Papers in Economics 10/2016, Friedrich-Alexander University Erlangen-Nuremberg, Institute for Economics.
    10. repec:eee:eneeco:v:64:y:2017:i:c:p:177-185 is not listed on IDEAS

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