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Does the Black-Scholes formula work for electricity markets? A nonparametric approach

Author

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  • Hjalmarsson, Erik

    () (Department of Economics, School of Economics and Commercial Law, Göteborg University)

Abstract

Despite the high volatilities recorded for electricity prices, there seems to be little demand for options on electricity. One reason for the disinterest in electricity options could arise from uncertainty about how to price these options. This study uses recent econometric advances to nonparametrically estimate correct prices for electricity options and compare these to the Black-Scholes prices. The main finding is that although the nonparametric estimates deviate significantly from the Black-Scholes prices, it would be diffcult to find an alternative parametric model that performs better. Thus, from a practical viewpoint, the Black-Scholes prices appear to be the best available.

Suggested Citation

  • Hjalmarsson, Erik, 2003. "Does the Black-Scholes formula work for electricity markets? A nonparametric approach," Working Papers in Economics 101, University of Gothenburg, Department of Economics.
  • Handle: RePEc:hhs:gunwpe:0101
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    File URL: http://hdl.handle.net/2077/2809
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    References listed on IDEAS

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    1. Ait-Sahalia, Yacine, 1996. "Testing Continuous-Time Models of the Spot Interest Rate," Review of Financial Studies, Society for Financial Studies, vol. 9(2), pages 385-426.
    2. A. Ronald Gallant & Chien-Te Hsu & George Tauchen, 1999. "Using Daily Range Data To Calibrate Volatility Diffusions And Extract The Forward Integrated Variance," The Review of Economics and Statistics, MIT Press, vol. 81(4), pages 617-631, November.
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    4. Knittel, Christopher R. & Roberts, Michael R., 2005. "An empirical examination of restructured electricity prices," Energy Economics, Elsevier, vol. 27(5), pages 791-817, September.
    5. Sanjiv R. Das, 1998. "Poisson-Guassian Processes and the Bond Markets," NBER Working Papers 6631, National Bureau of Economic Research, Inc.
    6. Federico M. Bandi & Peter C. B. Phillips, 2003. "Fully Nonparametric Estimation of Scalar Diffusion Models," Econometrica, Econometric Society, vol. 71(1), pages 241-283, January.
    7. Bandi, Federico & Moloche, Guillermo, 2008. "On the functional estimation of multivariate diffusion processes," MPRA Paper 43681, University Library of Munich, Germany.
    8. Hendrik Bessembinder & Michael L. Lemmon, 2002. "Equilibrium Pricing and Optimal Hedging in Electricity Forward Markets," Journal of Finance, American Finance Association, vol. 57(3), pages 1347-1382, June.
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    10. Black, Fischer, 1976. "The pricing of commodity contracts," Journal of Financial Economics, Elsevier, vol. 3(1-2), pages 167-179.
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    Cited by:

    1. Twomey, P. & Neuhoff, K., 2005. "Market Power and Technological Bias: The Case of Electricity Generation," Cambridge Working Papers in Economics 0532, Faculty of Economics, University of Cambridge.
    2. Twomey, Paul & Neuhoff, Karsten, 2010. "Wind power and market power in competitive markets," Energy Policy, Elsevier, vol. 38(7), pages 3198-3210, July.

    More about this item

    Keywords

    Electricity markets; Nonparametric estimation; Option pricing;

    JEL classification:

    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • G13 - Financial Economics - - General Financial Markets - - - Contingent Pricing; Futures Pricing
    • L94 - Industrial Organization - - Industry Studies: Transportation and Utilities - - - Electric Utilities

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