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The Use Of Mean-Variance For Commodity Futures And Options Hedging Decisions

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  • Garcia, Philip
  • Adam, Brian D.
  • Hauser, Robert J.

Abstract

This study provides additional evidence of the usefulness of mean-variance procedures in the presence of options which can truncate and skew the returns distribution. Using a simulation analysis, price hedging decisions are examined for hog producers when options are available. Mean-variance results are contrasted with optimal decisions based on negative exponential and Cox-Rubinstein utility functions over 56 ending price scenarios and two levels of risk aversion. The findings from our simulation, which considers discrete contracts, basis risk, lognormality in prices, transactions costs, and alternative utility specifications, affirm the usefulness of mean-variance framework.

Suggested Citation

  • Garcia, Philip & Adam, Brian D. & Hauser, Robert J., 1994. "The Use Of Mean-Variance For Commodity Futures And Options Hedging Decisions," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 19(1), pages 1-14, July.
    • Handle: RePEc:ags:jlaare:31230
    DOI: 10.22004/ag.econ.31230
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    References listed on IDEAS

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    1. Harvey Lapan & Giancarlo Moschini & Steven D. Hanson, 1991. "Production, Hedging, and Speculative Decisions with Options and Futures Markets," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 73(1), pages 66-74.
    2. Machina, Mark J, 1987. "Choice under Uncertainty: Problems Solved and Unsolved," Journal of Economic Perspectives, American Economic Association, vol. 1(1), pages 121-154, Summer.
    3. Black, Fischer, 1976. "The pricing of commodity contracts," Journal of Financial Economics, Elsevier, vol. 3(1-2), pages 167-179.
    4. James S. Eales & Brian K. Engel & Robert J. Hauser & Sarahelen R. Thompson, 1990. "Grain Price Expectations of Illinois Farmers and Grain Merchandisers," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 72(3), pages 701-708.
    5. Meyer, Jack, 1987. "Two-moment Decision Models and Expected Utility Maximization," American Economic Review, American Economic Association, vol. 77(3), pages 421-430, June.
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    Cited by:

    1. Pluske, Johanna & Fraser, Rob, 1995. "Production, Risk and Survey Data," 1995 Conference (39th), February 14-16, 1995, Perth, Australia 171080, Australian Agricultural and Resource Economics Society.
    2. Songjiao Chen & William Wilson & Ryan Larsen & Bruce Dahl, 2016. "Risk Management for Grain Processors and “Copulas”," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 64(2), pages 365-382, June.
    3. Buchholz, Matthias & Musshoff, Oliver, 2014. "The role of weather derivatives and portfolio effects in agricultural water management," Agricultural Water Management, Elsevier, vol. 146(C), pages 34-44.
    4. Joao Martines-Filho, 2006. "The Performance of Agricultural Market Advisory Services in Corn and Soybeans," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 88(1), pages 162-181.
    5. Mullally, Conner & Boucher, Steve & Carter, Michael, 2010. "Encouragement Designs and Heterogeneous Effects in Agricultural Insurance: Challenges for Impact Evaluations in Agricultural Insurance Interventions," 2010 Annual Meeting, July 25-27, 2010, Denver, Colorado 271511, Agricultural and Applied Economics Association.
    6. Batts, Ryan M. & Irwin, Scott & Good, Darrel, 2009. "The Pricing Performance of Market Advisory Services in Wheat Over 1995-2004," AgMAS Project Research Reports 183426, University of Illinois at Urbana-Champaign, Department of Agricultural and Consumer Economics.
    7. Good, Darrel L. & Martines-Filho, Joao Gomes & Irwin, Scott H., 2002. "The Pricing Performance Of Market Advisory Services In Corn And Soybeans Over 1995-2000," AgMAS Project Research Reports 14784, University of Illinois at Urbana-Champaign, Department of Agricultural and Consumer Economics.
    8. Irwin, Scott H. & Martines-Filho, Joao Gomes & Good, Darrel L., 2003. "The Pricing Performance of Market Advisory Services in Corn and Soybeans Over 1995-2001," AgMAS Project Research Reports 37510, University of Illinois at Urbana-Champaign, Department of Agricultural and Consumer Economics.
    9. Mullally, Conner & Boucher, Stephen R. & Carter, Michael R., 2010. "Perceptions and Participation: Mistaken Beliefs, Encouragement Designs, and Demand for Index Insurance," 2010 Annual Meeting, July 25-27, 2010, Denver, Colorado 61002, Agricultural and Applied Economics Association.
    10. Mahul, Olivier & Vermersch, Dominique, 1999. "Hedging Crop Risk With Yield Insurance Futures And Options," 1999 Annual meeting, August 8-11, Nashville, TN 21672, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    11. Tonsor, Glynn T., 2008. "Hedging in Presence of Market Access Risk," 2008 Conference, April 21-22, 2008, St. Louis, Missouri 37621, NCCC-134 Conference on Applied Commodity Price Analysis, Forecasting, and Market Risk Management.
    12. Joost M. E. Pennings & Matthew T. G. Meulenberg, 1998. "New Futures Markets in Agricultural Production Rights: Possibilities and Constraints for the British and Dutch Milk Quota Markets," Journal of Agricultural Economics, Wiley Blackwell, vol. 49(1), pages 50-66, March.
    13. Good, Darrel L. & Irwin, Scott H. & Martines-Filho, Joao Gomes & Hagedorn, Lewis A., 2005. "The Pricing Performance of Market Advisory Services in Corn and Soybeans over 1995-2003," AgMAS Project Research Reports 14775, University of Illinois at Urbana-Champaign, Department of Agricultural and Consumer Economics.
    14. Irwin, Scott H. & Good, Darrel L. & Martines-Filho, Joao Gomes & Batts, Ryan M., 2006. "The Pricing Performance of Market Advisory Services in Corn and Soybeans Over 1995-2004," AgMAS Project Research Reports 37513, University of Illinois at Urbana-Champaign, Department of Agricultural and Consumer Economics.

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