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Hedging Downside Risk to Farm Income with Futures and Options: Effects of Government Payment Programs and Federal Crop Insurance Plans

Author

Listed:
  • Zhang, Rui (Carolyn)
  • Houston, Jack E.
  • Vedenov, Dmitry V.
  • Barnett, Barry J.

Abstract

The high proportion of government payments in total crop farm income and the purchase of subsidized crop insurance have changed the income distribution of U.S. crop farmers. As a result, the risk management behaviors of U.S. crop farmers are affected by these programs in terms of the use of private market risk management tools, such as futures and options. The objective of this research is to investigate the effects of the government payments and federal crop insurance policies on the usage of futures and options by crop farmers from a downside risk management perspective. Results in this study suggest that both yield insurance and revenue insurance creates more hedging demands for futures. But revenue insurance decreases the buying of put options at the same time. Loan deficiency government payments substitutes largely for the hedging role of put options while Counter Cyclical payments substitutes futures hedge. This research contributes the literature by proposing to use a downside risk hedge model, the second-order lower partial moment (LPM2) hedge model, to investigate the interaction of government and private risk management tools used by crop farmers. This study also initiatively applies the conditional kernel density method and the copula approach in the data simulation process. The conditional kernel density method generates county yield and farm yield with the same conditional pattern as revealed in the historical yields. The copula simulation allows the crop yield and prices have more flexible joint distributions other than bivariate normal.

Suggested Citation

  • Zhang, Rui (Carolyn) & Houston, Jack E. & Vedenov, Dmitry V. & Barnett, Barry J., 2007. "Hedging Downside Risk to Farm Income with Futures and Options: Effects of Government Payment Programs and Federal Crop Insurance Plans," 2007 Annual Meeting, July 29-August 1, 2007, Portland, Oregon 9911, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
  • Handle: RePEc:ags:aaea07:9911
    DOI: 10.22004/ag.econ.9911
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    Cited by:

    1. Thiagu Ranganathan & Usha Ananthakumar, 2017. "Hedging in Presence of Crop Yield, Crop Revenue and Rainfall Insurance," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 15(1), pages 151-171, March.
    2. Anderson, John D. & Harri, Ardian & Coble, Keith H., 2009. "Techniques for Multivariate Simulation from Mixed Marginal Distributions with Application to Whole-Farm Revenue Simulation," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 34(1), pages 1-15, April.
    3. Larsen, Ryan A. & Leatham, David J. & Mjelde, James W. & Wolfley, Jared L., 2008. "Geographical Diversification: An Application of Copula Based CVaR," 2008 Agricultural and Rural Finance Markets in Transition, September 25-26, 2008, Kansas City, Missouri 119533, Regional Research Committee NC-1014: Agricultural and Rural Finance Markets in Transition.

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