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Energy Options in an HJM Framework

Author

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  • Hansen, Thomas Lyse

    (Dong A/S)

  • Jensen, Bjarne Astrup

    (Department of Finance, Copenhagen Business School)

Abstract

It is a delicate matter to trade spot products and financial derivatives in energy markets. Op-posite to bond and stock markets, the underlying assets are real products and a significant part of the demand for them represents a real need for the products, which can only be substituted away with some difficulties or, in some cases, only in a prohibitively costly manner. This is particularly true in the spot market, where the demand is almost always met, but where the spot price processes can be quite different from the spot price processes conventionally used in the pricing of derivatives. This pattern of real demand is also the main reason for the existence of the well-known convenience yield in energy markets.

Suggested Citation

  • Hansen, Thomas Lyse & Jensen, Bjarne Astrup, 2005. "Energy Options in an HJM Framework," Working Papers 2004-10, Copenhagen Business School, Department of Finance.
    • Handle: RePEc:hhs:cbsfin:2004_010
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    File URL: http://openarchive.cbs.dk/cbsweb/handle/10398/7185
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    References listed on IDEAS

    as
    1. Claus Munk, 1999. "Stochastic duration and fast coupon bond option pricing in multi-factor models," Review of Derivatives Research, Springer, vol. 3(2), pages 157-181, May.
    2. Jamshidian, Farshid, 1989. " An Exact Bond Option Formula," Journal of Finance, American Finance Association, vol. 44(1), pages 205-209, March.
    3. Longstaff, Francis A., 1993. "The valuation of options on coupon bonds," Journal of Banking & Finance, Elsevier, vol. 17(1), pages 27-42, February.
    4. Kenneth J. Singleton & Len Umantsev, 2002. "Pricing Coupon‐Bond Options And Swaptions In Affine Term Structure Models," Mathematical Finance, Wiley Blackwell, vol. 12(4), pages 427-446, October.
    5. David Heath & Robert Jarrow & Andrew Morton, 2008. "Bond Pricing And The Term Structure Of Interest Rates: A New Methodology For Contingent Claims Valuation," World Scientific Book Chapters, in: Financial Derivatives Pricing Selected Works of Robert Jarrow, chapter 13, pages 277-305, World Scientific Publishing Co. Pte. Ltd..
    6. Schwartz, Eduardo S, 1997. "The Stochastic Behavior of Commodity Prices: Implications for Valuation and Hedging," Journal of Finance, American Finance Association, vol. 52(3), pages 923-973, July.
    7. Miltersen, Kristian R. & Schwartz, Eduardo S., 1998. "Pricing of Options on Commodity Futures with Stochastic Term Structures of Convenience Yields and Interest Rates," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 33(1), pages 33-59, March.
    8. Longstaff, Francis A & Schwartz, Eduardo S, 1992. "Interest Rate Volatility and the Term Structure: A Two-Factor General Equilibrium Model," Journal of Finance, American Finance Association, vol. 47(4), pages 1259-1282, September.
    9. Andrew Carverhill, 1994. "When Is The Short Rate Markovian?," Mathematical Finance, Wiley Blackwell, vol. 4(4), pages 305-312, October.
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    More about this item

    Keywords

    HJM; Framework; Energy options;
    All these keywords.

    JEL classification:

    • G00 - Financial Economics - - General - - - General

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