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Go Ahead, Count Your Chickens: Cross-Hedging Strategies in the Broiler Industry

Published online by Cambridge University Press:  28 April 2015

Leigh J. Maynard ,
Carl R. Dillon  and
Joy Carter
Leigh J. Maynard
Affiliation:
Department of Agricultural Economics, University of Kentucky, Lexington, Kentucky
Carl R. Dillon
Affiliation:
Department of Agricultural Economics, University of Kentucky, Lexington, Kentucky
Joy Carter
Affiliation:
Land O'Lakes, Inc., Fort Dodge, Iowa
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Abstract

Some suppliers of broilers without giblets (WOG) offer customers a choice between paying Urner Barry's WOG quote or a formula price based on futures prices. From a buyer's perspective, the formula price examined in this study is second-degree stochastic dominant. The formula price allows the seller to set perfect cross-hedges of WOGs with corn and soymeal. Stochastic dominance and mean variance results suggested that the seller's dominant strategy would shift from the Urner Barry quote to the hedged formula price as risk aversion increased. Input-based formula pricing may be usefully extended to other industries.

Keywords

broiler industryformula pricinghedging strategiesmean-variance analysisstochastic dominance
Type
Articles
Information
Journal of Agricultural and Applied Economics , Volume 33 , Issue 1 , April 2001 , pp. 79 - 90
Copyright
Copyright © Southern Agricultural Economics Association 2001

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References

Aradhyula, S.V. and Holt, M.T. “Risk Behavior and Rational Expectations in the U.S. Broiler Market.” Amer. J. Agr. Econ. 71(1989):892–902.CrossRefGoogle Scholar
Boisvert, R.N. and McCarl, B.A.. “Agricultural Risk Modeling Using Mathematical Programming.” Southern Cooperative Series Bulletin No. 3.56. Cornell University, New York. July 1990.Google Scholar
Chavas, J.-P. and Johnson, S.R. “Supply Dynamics: The Case of U.S. Broilers and Turkeys.” Amer. J. Agr. Econ. 64(1982):558–564.CrossRefGoogle Scholar
Dillon, C.R. “Microeconomic Effects of Reduced Yield Variability Cultivare of Soybeans and Wheat.” Southern J. Agr. Econ. 24(1992): 121–133.Google Scholar
Freund, R.J. “The Introduction of Risk into a Programming Model.” Econometrica. 24(1956): 253–264.CrossRefGoogle Scholar
Fryar, E.O., Vice-President, A&F Exports, personal communication, Fayette ville, Ar., 1997 and August, 2000.Google Scholar
Hadar, J. and Russell, W. “Rules for Ordering Uncertain Prospects.” Amer. Econ. Rev. 59 (1969): 25–34.Google Scholar
Harwood, J., Heifner, R., Coble, K., Perry, J., and Somwaru, A.. “Managing Risk in Farming: Concepts, Research, and Analysis.” U.S. Department of Agriculture, Economic Research Service, Agricultural Economics Report No. 774, March, 1999.Google Scholar
Heady, E.O. and Candler, W.. Linear Programming Methods. Ames: Iowa State University Press, 1958.Google Scholar
Holmstrom, B. and Ricart i Costa, J. “Managerial Incentives and Capital Management.” Quarterly Journal of Economics 101(1986):835–860.CrossRefGoogle Scholar
Holt, M.T. and Aradhyula, S.V. “Endogenous Risk in Rational-Expectations Commodity Models: a Multivariate Generalized ARCH-M Approach.” Journal of Empirical Finance 5(1998):99–129.CrossRefGoogle Scholar
Knight Ridder Financial Services, CRB Info Tech. Futures prices, Chicago Board of Trade, 1995-1996.Google Scholar
Knoeber, C.R. and Thurman, W.N. “‘Don't Count Your Chickens …’: Risk and Risk Shifting in the Broiler Industry.” Amer. J. Agr. Econ. 77(1995):486–496.CrossRefGoogle Scholar
Kreps, D.M.A Course in Microeconomic Theory. Princeton: Princeton University Press, 1990.CrossRefGoogle Scholar
Lin, W., Dean, G.W. and Moore, C.V. “An Empirical Test of Utility vs. Profit Maximization in Agricultural Production.” Amer. J. Agr. Econ. 56(1974):497–508.CrossRefGoogle Scholar
Love, R.O. and Robison, L.J. “An Empirical Analysis of the Intertemporal Stability of Risk Preference.” Southern J. Agr. Econ. 16(1984):159–165.Google Scholar
Markowitz, H. “Portfolio Selection.” J. Finance 12(1952):77–91.Google Scholar
Maynard, L.J. “Price Discovery in the Egg Industry.” Agr. Res. Econ. Rev. 26(1997):23–30.Google Scholar
McCarl, B.A. and Bessler, D.A. “Estimating an Upper Bound on the Pratt Risk Aversion Coefficient when the Utility Function is Unknown.” Australian J. Agr. Econ. 33(1989):56–63.Google Scholar
McFarquhar, A.M.M. “Rational Decision Making and Risk in Farm Planning—An Application of Quadratic Programming in British Arable Farming.” J. of Agr. Econ. 14(1961):552–563.CrossRefGoogle Scholar
Meyer, J. “Choice Among Distributions.” Journal of Economic Theory 14(1977):326–336.CrossRefGoogle Scholar
Pratt, J.W. “Risk Aversion in the Small and in the Large.” Econometrica 32(1964): 122–136.CrossRefGoogle Scholar
Prosi, R. “Daily Price Discovery and Futures Market Efficiency.” panel discussion, 1999 Dairy Forum, Naples, FL, January 17-20, 1999.Google Scholar
Raskin, R. and Cochran, M.J.. “A User's Guide to the Generalized Stochastic Dominance Program for the IBM PC.” Staff Paper SP3786, University of Arkansas, October, 1986a.Google Scholar
Raskin, R. and Cochran, M.J. “Interpretations and Transformations of Scale for the Pratt-Arrow Absolute Risk Aversion Coefficient: Implications for Generalized Stochastic Dominance.” Western J. Agr. Econ. 11(1986b):204–210.Google Scholar
Robison, L.J. and Brake, J.R. “Application of Portfolio Theory to Farmer and Lender Behavior.” Amer. J. Agr. Econ. 61(1979):159-164.CrossRefGoogle Scholar
Robison, L.J. and Barry, P.J.. The Competitive Firm's Response to Risk. Macmillan, New York. 1987.Google Scholar
Smith, T.W. On-line course notes for Poultry Science 4413, Poultry Nutrition, Mississippi State University, www.msstate.edu/dept/poultry/po4413.htm, October, 1999.Google Scholar
Stoll, H.R. and Whaley, R.E.. Futures and Options: Theory and Applications. Cincinnati: Southwestern Publishing Co., 1993.Google Scholar
Urner Barry's Price-Current. Tom's River, N.J.: Urner Barry Publications, various issues, 1995-1996.Google Scholar
U.S. Department of Agriculture. “Livestock, Dairy and Poultry Situation and Outlook.” Economic Research Service, LDP-M-63, September 28, 1999.Google Scholar
U.S. Department of Agriculture, Arkansas Extension Service. “Memphis Daily Grain Report.” USDA-AR Market News. Little Rock, Ar., various issues, 1995–1996.Google Scholar
U.S. Department of Agriculture, Arkansas Extension Service. “Memphis Weekly Feed Report.” USDA-AR Market News. Little Rock, Ar., various issues, 1995–1996.Google Scholar
Wall Street Journal, Futures Prices. New York: Dow Jones and Company, Inc., various issues, 1995–1996.Google Scholar
Weins, J.A. “Peasant Risk Aversion and Allocative Behavior: A Quadratic Programming Experiment.” Amer. J. Agr. Econ. 58(1976):629–635.CrossRefGoogle Scholar