• DocumentCode
    2896545
  • Title

    Spark spread options and the valuation of electricity generation assets

  • Author

    Deng, Shijie ; Johnson, Bryant ; Sogomonian, Aram

  • Author_Institution
    Dept. of Ind. Eng. & Oper. Res., California Univ., Berkeley, CA, USA
  • Volume
    Track3
  • fYear
    1999
  • fDate
    5-8 Jan. 1999
  • Abstract
    The paper presents and applies a methodology for valuing electricity derivatives by constructing replicating portfolios from electricity futures and the risk free asset. Futures based replication is argued to be made necessary by the non-storable nature of electricity, which rules out the traditional spot market, storage based method of valuing commodity derivatives. Using the futures based approach, valuation formulae are derived for spark spread options for both geometric Brownian motion and mean reverting price processes. The valuation result is in turn used to construct real options based valuation formula for generation assets. Finally, the valuation formula derived for generation assets is used to value a sample of assets that have been recently sold, and the theoretical values calculated are compared to the observed sales prices of the assets.
  • Keywords
    costing; power generation economics; random processes; commodity derivative valuation; electricity derivatives; electricity futures; electricity generation asset valuation; futures based approach; futures based replication; geometric Brownian motion; mean reverting price processes; non storable nature; observed sales prices; replicating portfolios; risk free asset; spark spread options; spot market; storage based method; valuation formulae; Asset management; Contracts; Cost accounting; Electricity supply industry; Energy management; Portfolios; Power generation; Pricing; Risk management; Sparks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems Sciences, 1999. HICSS-32. Proceedings of the 32nd Annual Hawaii International Conference on
  • Conference_Location
    Maui, HI, USA
  • Print_ISBN
    0-7695-0001-3
  • Type

    conf

  • DOI
    10.1109/HICSS.1999.772862
  • Filename
    772862