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A Bayesian Approach To Optimal Cross-Hedging Of Cottonseed Products Using Soybean Complex Futures

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  • Rahman, Shaikh Mahfuzur
  • Dorfman, Jeffrey H.
  • Turner, Steven C.

Abstract

Cottonseed crushers face substantial risk in terms of input and output price variability and they are limited in their planning by the lack of viable futures markets for cottonseed or cottonseed products. This study examines the feasibility of cross-hedging cottonseed products using soybean complex futures. Bayesian tests for market efficiency are performed on the cash and futures prices. The test results reject the presence of nonstationary roots, leading to the conclusion that the markets are not efficient. Different cross-hedging strategies are designed and analyzed for eight different hedging horizons in order to maximize the expected profit and utility of the crusher. A Bayesian approach is employed to estimate the parameters, which is consistent with expected utility maximization in the presence of estimation risk. The investigation reveals that both whole cottonseed and cottonseed products can be successfully cross-hedged using soybean complex futures. The profitability of cross-hedging cottonseed products depends not only on the appropriate size of the contract but also on the optimal choice of strategy consistent with the time of placing and lifting hedge and the appropriate hedging horizon.

Suggested Citation

  • Rahman, Shaikh Mahfuzur & Dorfman, Jeffrey H. & Turner, Steven C., 2002. "A Bayesian Approach To Optimal Cross-Hedging Of Cottonseed Products Using Soybean Complex Futures," 2002 Annual meeting, July 28-31, Long Beach, CA 19708, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    • Handle: RePEc:ags:aaea02:19708
    DOI: 10.22004/ag.econ.19708
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    1. Lee, Jung-Hee & Brorsen, B. Wade, 1994. "Effect of Risk Aversion on Feeder Cattle Prices," Journal of Agricultural and Applied Economics, Cambridge University Press, vol. 26(2), pages 386-392, December.
    2. Leland L. Johnson, 1960. "The Theory of Hedging and Speculation in Commodity Futures," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 27(3), pages 139-151.
    3. Lence, Sergio H & Hayes, Dermot J, 1994. "Parameter-Based Decision Making under Estimation Risk: An Application to Futures Trading," Journal of Finance, American Finance Association, vol. 49(1), pages 345-357, March.
    4. Babcock, Bruce A. & Choi, E. Kwan & Feinerman, Eli, 1993. "Risk And Probability Premiums For Cara Utility Functions," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 18(1), pages 1-8, July.
    5. J. M. Antle & W. J. Goodger, 1984. "Measuring Stochastic Technology: The Case of Tulare Milk Production," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 66(3), pages 342-350.
    6. DeJong, David N. & Whiteman, Charles H., 1991. "Reconsidering 'trends and random walks in macroeconomic time series'," Journal of Monetary Economics, Elsevier, vol. 28(2), pages 221-254, October.
    7. Heifner, Richard G., 1972. "Optimal Hedging Levels and Hedging Effectiveness in Cattle Feeding," Journal of Agricultural Economics Research, United States Department of Agriculture, Economic Research Service, vol. 24(2), pages 1-14, April.
    8. Anderson, Ronald W & Danthine, Jean-Pierre, 1981. "Cross Hedging," Journal of Political Economy, University of Chicago Press, vol. 89(6), pages 1182-1196, December.
    9. Kallberg, J. G. & Ziemba, W. T., 1979. "On the robustness of the Arrow-Pratt risk aversion measure," Economics Letters, Elsevier, vol. 2(1), pages 21-26.
    10. Kandice H. Kahl, 1983. "Determination of the Recommended Hedging Ratio," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 65(3), pages 603-605.
    11. Roger A. Dahlgran, 2000. "Cross-hedging the cottonseed crush: A case study," Agribusiness, John Wiley & Sons, Ltd., vol. 16(2), pages 141-158.
    12. James A. Chalfant & Robert N. Collender & Shankar Subramanian, 1990. "The Mean and Variance of the Mean-Variance Decision Rule," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 72(4), pages 966-974.
    13. Klein, Roger W, et al, 1978. "Decisions with Estimation Uncertainty," Econometrica, Econometric Society, vol. 46(6), pages 1363-1387, November.
    14. Paul L. Fackler & Kevin P. McNew, 1993. "Multiproduct Hedging: Theory, Estimation, and an Application," Review of Agricultural Economics, Agricultural and Applied Economics Association, vol. 15(3), pages 521-535.
    15. Jeffrey H. Dorfman, 1993. "Bayesian Efficiency Tests for Commodity Futures Markets," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 75(5), pages 1206-1210.
    16. Lester G. Telser, 1955. "Safety First and Hedging," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 23(1), pages 1-16.
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