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Strategic Hedging For Grain Processors


  • Wilson, William W.
  • Wagner, Robert
  • Nganje, William E.


Price risk management problems confronting grain processors differ somewhat from conventional motives for hedging. There are two components of this problem that are addressed in this study. One is the competitive characteristics of the processing sector, the structure and conduct of which ultimately determines the relationship between input and output prices. In some cases, these are highly correlated and in others they are not. The second refers to the hedge horizon, or, how far forward a firm should cover its inevitable short cash positions. This study incorporates these two components of hedging into a mean-variance framework to evaluate how they impact price risk management decisions for processors. A theoretical model is developed which is then solved numerically to illustrate the relationships between optimal hedge ratios, the correlation between input and output prices, and the hedge horizon. The model is applied to the case of the United States bread baking industry to further illustrate how these impact hedging in a particular industry.

Suggested Citation

  • Wilson, William W. & Wagner, Robert & Nganje, William E., 2003. "Strategic Hedging For Grain Processors," Agribusiness & Applied Economics Report 23637, North Dakota State University, Department of Agribusiness and Applied Economics.
  • Handle: RePEc:ags:nddaae:23637

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    References listed on IDEAS

    1. Harvey Lapan & Giancarlo Moschini & Steven D. Hanson, 1991. "Production, Hedging, and Speculative Decisions with Options and Futures Markets," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 73(1), pages 66-74.
    2. Sergio H. Lence & Dermot J. Hayes, 1994. "The Empirical Minimum-Variance Hedge," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 76(1), pages 94-104.
    3. Moschini, Giancarlo & Lapan, Harvey, 1995. "The Hedging Role of Options and Futures under Joint Price, Basis, and Production Risk," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 36(4), pages 1025-1049, November.
    4. Sergio H. Lence & Dermot J. Hayes, 1993. "Empirical Minimum Variance Hedge, The," Center for Agricultural and Rural Development (CARD) Publications 93-wp109, Center for Agricultural and Rural Development (CARD) at Iowa State University.
    5. Yong Sakong & Dermot J. Hayes & Arne Hallam, 1993. "Hedging Production Risk With Options," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 75(2), pages 408-415.
    6. Haigh, Michael S. & Holt, Matthew T., 1999. "Volatility Spillovers Between Foreign Exchange, Commodity And Freight Futures Prices: Implications For Hedging Strategies," Faculty Paper Series 23997, Texas A&M University, Department of Agricultural Economics.
    7. Rolfo, Jacques, 1980. "Optimal Hedging under Price and Quantity Uncertainty: The Case of a Cocoa Producer," Journal of Political Economy, University of Chicago Press, vol. 88(1), pages 100-116, February.
    8. Manfredo, Mark R. & Garcia, Philip & Leuthold, Raymond M., 2000. "Time-Varying Multiproduct Hedge Ratio Estimation In The Soybean Complex: A Simplified Approach," 2000 Conference, April 17-18 2000, Chicago, Illinois 18933, NCR-134 Conference on Applied Commodity Price Analysis, Forecasting, and Market Risk Management.
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    Cited by:

    1. repec:oup:revage:v:29:y:2007:i:3:p:581-595. is not listed on IDEAS
    2. Piotr Giruæ, 2015. "Hedging strategies of derivatives instruments for commodity trading entities," GUT FME Conference Publications,in: Blazej Prusak (ed.), ENTERPRISES IN UNSTABLE ECONOMY, chapter 2, pages 19-34 Faculty of Management and Economics, Gdansk University of Technology.


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