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A Producer-Level Cross-Hedge for Rough Rice Using Wheat Futures

Published online by Cambridge University Press:  05 September 2016

Thomas P. Zacharias ,
Mark D. Lange ,
William J. Gleason  and
Harlon D. Traylor
Thomas P. Zacharias
Affiliation:
Department of Agricultural Economics and Agribusiness, Louisiana Agricultural Experiment Station, Louisiana State University Agricultural Center, Baton Rouge, LA 70803
Mark D. Lange
Affiliation:
Department of Agricultural Economics and Agribusiness, Louisiana Agricultural Experiment Station, Louisiana State University Agricultural Center, Baton Rouge, LA 70803
William J. Gleason
Affiliation:
Department of Agricultural Economics and Agribusiness, Louisiana Agricultural Experiment Station, Louisiana State University Agricultural Center, Baton Rouge, LA 70803
Harlon D. Traylor
Affiliation:
Department of Agricultural Economics and Agribusiness, Louisiana Agricultural Experiment Station, Louisiana State University Agricultural Center, Baton Rouge, LA 70803
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Abstract

This study explores the potential of routine preharvest cross-hedging of rough rice using wheat futures contract prices. A numerical simulation approach combined with risk efficiency analysis evaluates a wide range of cross-hedging alternatives. Results establish that farm-level cross-hedging can be considered a viable marketing alternative.

Keywords

ricewheatfutures pricingcross-hedgingrisk-efficiencyyield risk
Type
Submitted Articles
Information
Journal of Agricultural and Applied Economics , Volume 19 , Issue 2 , December 1987 , pp. 75 - 82
Copyright
Copyright © Southern Agricultural Economics Association 1987

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References

Anderson, J. R. “Risk Efficiency in the Interpretation of Agricultural Production Research.” Review of Marketing and Agricultural Economics, 42, 1(1974):131–184.Google Scholar
Anderson, J. R., Dillon, J. L., and Hardaker, B.. Agricultural Decision Analysis. Ames: Iowa State University Press, 1977.Google Scholar
Anderson, R. W., and Danthine, J. P.. “Cross Hedging.” J. Political Economy, 89, 6(1981):1182–1196.CrossRefGoogle Scholar
Bailey, D. V., and Richardson, J. W.. “Analysis of Selected Marketing Strategies: A Whole-Farm Simulation Approach.” Amer. J. Agr. Econ., 67(1985):813–820.CrossRefGoogle Scholar
Berck, P. “Portfolio Theory and the Demand for Futures: The Case of California Cotton.” Amer. J. Agr. Econ., 63, 3(1981):466–474.CrossRefGoogle Scholar
Blake, M. L., and Catlett, L.. “Cross Hedging Hay Using Corn Futures: An Empirical Test.” Western J. Agr. Econ., 9, 1(1984):127–134.Google Scholar
Boehlje, M. D., and Eidman, V. R.. Farm Management. New York: John Wiley and Sons, 1984.Google Scholar
Bohrnstedt, G. W., and Goldberger, A. S.. “On the Exact Covariance of Products of Random Variables.” J. Amer. Stat. Assoc., 64, 328(1969):1439–1442.CrossRefGoogle Scholar
Clements, A. M., Mapp, H. P., and Eidman, V. R.. “A Procedure for Correlating Events in Farm Firm Simulation Models.” Agricultural Experiment Station Bulletin T-131, Oklahoma State University, 1971.Google Scholar
Elam, E. W., Miller, S. E., and Holder, S. H.. “Cross-Hedging Rice Bran and Millfeed.” Rice Outlook and Situation, (March 1984):14–18.Google Scholar
Fryar, E. O., and Garland, K.. “The Feasibility of Crosshedging Rice with Corn, Wheat.” Ark. Farm Res., (July-August, 1986):11.Google Scholar
Hayenga, M. L., and DiPietre, D. D.. “Cross-Hedging Wholesale Pork Products Using Live Hog Futures.” Amer. J. Agr. Econ., 64, 4(1982):747–751.CrossRefGoogle Scholar
Hieronymus, T. Economics of Futures Trading for Commercial and Personal Profit. New York: Commodity Research Bureau, Inc., 1981.Google Scholar
King, R., and Robison, L.. “Risk Efficiency Models.” Risk Management in Agriculture. Ed. Barry, Peter. Ames: Iowa State University, 1984.Google Scholar
Miller, S. E. “Beef Price Hedging Opportunities for Food Service Institutions.” J. Food Dist. Res., 11, 1(1980):29–34.Google Scholar
Miller, S. E., and Luke, D. R.. “Alternative Techniques for Cross-Hedging Wholesale Beef Prices,” J. Futures Markets, 2, 2(1982):121–129.CrossRefGoogle Scholar
Ray, D. E., and Richardson, J. W.. “Detailed Description of Polysim.” Agricultural Experiment Station Bulletin T-151, Oklahoma State University, 1978.Google Scholar
Rolfo, J. “Optimal Hedging Under Price and Quantity Uncertainty: The Case of a Cocoa Producer.” J. Political Economy, 81, 1(1980):100–116.CrossRefGoogle Scholar
U.S. Department of Agriculture. Rice Market News. AMS. Little Rock, selected issues 1975–1985.Google Scholar
Wetzstein, M. E., Edwards, D. M., Musser, W. N., and McClendon, R. W.. “An Economic Simulation of Risk Efficiency Among Alternative Double-Crop Machinery Selection.” Georgia Agricultural Experiment Station, Research Bulletin 342, 1986.Google Scholar
Witt, H. J., Schroeder, T. C., and Hayenga, M. L.. “Comparison of Analytical Approaches for Estimating Hedge Ratios for Agricultural Commodities.” Futures Markets, 7, 2(1987):135–146.CrossRefGoogle Scholar
Zentner, R. P., Greene, D. D., Hickenbotham, T. L., and Eidman, V. R.. Ordinary and Generalized Stochastic Dominance: A Primer. Department of Agricultural and Applied Economics, Staff Paper P81-27. University of Minnesota, St. Paul, MN, September 1981.Google Scholar