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Optimal Hedging in Futures Markets with Multiple Delivery Specifications

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  • Kamara, Avraham
  • Siegel, Andrew F

Abstract

Nearly all futures contracts allow delivery of any of several qualities of the underlyi ng asset. Consequently, the price of the futures contract is associat ed more with the price of the expected cheapest deliverable variety t han with the price of the par-delivery variety. The delivery specific ations introduce a delivery risk for every hedger in the market. The authors derive the optimal hedging strategies in these markets. Their hedging effectiveness is evaluated for wheat futures contracts in Ch icago. Hedging optimally would have significantly reduced the varianc e of the rates of return on hedges, while yielding similar mean retur ns. Copyright 1987 by American Finance Association.

Suggested Citation

  • Kamara, Avraham & Siegel, Andrew F, 1987. "Optimal Hedging in Futures Markets with Multiple Delivery Specifications," Journal of Finance, American Finance Association, vol. 42(4), pages 1007-1021, September.
    • Handle: RePEc:bla:jfinan:v:42:y:1987:i:4:p:1007-21
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    Cited by:

    1. Marckhoff, Jan & Wimschulte, Jens, 2009. "Locational price spreads and the pricing of contracts for difference: Evidence from the Nordic market," Energy Economics, Elsevier, vol. 31(2), pages 257-268, March.
    2. Adam-Müller, Axel F. A. & Wong, Kit Pong, 2002. "The impact of delivery risk on optimal production and futures hedging," CoFE Discussion Papers 02/08, University of Konstanz, Center of Finance and Econometrics (CoFE).
    3. Lien, Donald & Tse, Yiu Kuen, 2006. "A survey on physical delivery versus cash settlement in futures contracts," International Review of Economics & Finance, Elsevier, vol. 15(1), pages 15-29.
    4. Kapil Gupta & Balwinder Singh, 2007. "Investigating the Pricing Efficiency of Indian Equity Futures Market," Management and Labour Studies, XLRI Jamshedpur, School of Business Management & Human Resources, vol. 32(4), pages 486-512, November.
    5. Kit Wong, 2014. "Production and hedging in futures markets with multiple delivery specifications," Decisions in Economics and Finance, Springer;Associazione per la Matematica, vol. 37(2), pages 413-421, October.
    6. Lien, Donald & Balakrishnan, N., 2003. "Conditional correlation analysis of order statistics from bivariate normal distribution with an application to evaluating inventory effects in futures market," Statistics & Probability Letters, Elsevier, vol. 63(3), pages 249-257, July.
    7. Kenneth Barbade & Paul Bennett & John Kambhu, 2000. "Enhancing the liquidity of U.S. Treasury securities in an era of surpluses," Economic Policy Review, Federal Reserve Bank of New York, issue Apr, pages 89-119.
    8. Paul Bennett & Kenneth Garbade & John Kambhu, 1999. "Enhancing the Liquidity of U.S. Treasury Securities in an Era of Surpluses," New York University, Leonard N. Stern School Finance Department Working Paper Seires 99-083, New York University, Leonard N. Stern School of Business-.
    9. Udo Broll & Peter Welzel & Kit Wong, 2015. "Futures hedging with basis risk and expectation dependence," International Review of Economics, Springer;Happiness Economics and Interpersonal Relations (HEIRS), vol. 62(3), pages 213-221, September.
    10. Babu Jose & James Varghese, 2021. "Ideal Investment Protection in Optimistic Perceptions: Evidence From the Indian Equity Options Market," International Journal of Financial Research, International Journal of Financial Research, Sciedu Press, vol. 12(2), pages 327-340, April.
    11. Gurmeet Singh, 2017. "Estimating Optimal Hedge Ratio and Hedging Effectiveness in the NSE Index Futures," Jindal Journal of Business Research, , vol. 6(2), pages 108-131, December.
    12. Odin K. Knudsen & Pasquale L. Scandizzo, 2011. "Real Options and Project Evaluation," World Bank Publications - Reports 27376, The World Bank Group.

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