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Relaxing Standard Hedging Assumptions in the Presence of Downside Risk

Author

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  • Mattos, Fabio
  • Garcia, Philip
  • Nelson, Carl H.

Abstract

The purpose of this study is to analyze how the introduction of a downside risk measure and less restrictive assumptions can change the optimal hedge ratio in the standard hedging problem. Based on a dataset of futures and cash prices for soybeans in the U.S., the empirical findings indicate that optimal hedge ratios change dramatically when a one-sided risk measure is adopted and standard assumptions are relaxed. Further, the results suggest that in a downside risk framework with realistic hedging assumptions there is little or no incentive for farmers to hedge.

Suggested Citation

  • Mattos, Fabio & Garcia, Philip & Nelson, Carl H., 2005. "Relaxing Standard Hedging Assumptions in the Presence of Downside Risk," 2005 Conference, April 18-19, 2005, St. Louis, Missouri 19040, NCR-134 Conference on Applied Commodity Price Analysis, Forecasting, and Market Risk Management.
    • Handle: RePEc:ags:ncrfiv:19040
    DOI: 10.22004/ag.econ.19040
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    References listed on IDEAS

    as
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    Cited by:

    1. Liu, Pan & Vedenov, Dmitry & Power, Gabriel J., 2017. "Is hedging the crack spread no longer all it's cracked up to be?," Energy Economics, Elsevier, vol. 63(C), pages 31-40.
    2. Power, Gabriel J. & Vedenov, Dmitry, 2023. "Who's afraid of a Texas hedge?," Energy Economics, Elsevier, vol. 127(PB).
    3. Joshua D. Woodard & Bruce J. Sherrick & Gary D. Schnitkey, 2010. "Revenue Risk-Reduction Impacts of Crop Insurance in a Multicrop Framework," Applied Economic Perspectives and Policy, Agricultural and Applied Economics Association, vol. 32(3), pages 472-488.
    4. Power, Gabriel J. & Vedenov, Dmitry V., 2008. "The Shape of the Optimal Hedge Ratio: Modeling Joint Spot-Futures Prices using an Empirical Copula-GARCH Model," 2008 Conference, April 21-22, 2008, St. Louis, Missouri 37609, NCCC-134 Conference on Applied Commodity Price Analysis, Forecasting, and Market Risk Management.
    5. Fei, Chengcheng & Vedenov, Dmitry & Stevens, Reid B. & Anderson, David, 2021. "Single-Commodity vs. Joint Hedging in Cattle Feeding Cycle: Is Joint Hedging Always Essential?," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 46(3), September.
    6. Elisson Andrade & Fabio Mattos & Roberto Arruda de Souza Lima, 2018. "New Insights on Hedge Ratios in the Presence of Stochastic Transaction Costs," Risks, MDPI, vol. 6(4), pages 1-15, October.
    7. Białkowski, Jędrzej & Bohl, Martin T. & Perera, Devmali, 2023. "Commodity futures hedge ratios: A meta-analysis," Journal of Commodity Markets, Elsevier, vol. 30(C).
    8. Ubukata, Masato, 2018. "Dynamic hedging performance and downside risk: Evidence from Nikkei index futures," International Review of Economics & Finance, Elsevier, vol. 58(C), pages 270-281.
    9. Jędrzej Białkowski & Martin T. Bohl & Devmali Perera, 2022. "Commodity Futures Hedge Ratios: A Meta-Analysis," Working Papers in Economics 22/12, University of Canterbury, Department of Economics and Finance.
    10. Vedenov, Dmitry & Power, Gabriel J., 2022. "We don't need no fancy hedges! Or do we?," International Review of Financial Analysis, Elsevier, vol. 81(C).
    11. Driedger, Jonathon & Porth, Lysa & Boyd, Milton, 2016. "The Potential to Use Futures and Options to Manage Crop Insurance Losses," 2016 Annual Meeting, July 31-August 2, Boston, Massachusetts 235747, Agricultural and Applied Economics Association.

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