Strategic Hedging For Grain Processors
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.
|Date of creation:||2003|
|Contact details of provider:|| Postal: PO Box 5636, Fargo, ND 58105-5636|
Phone: (701) 231-7441
Web page: http://www.ext.nodak.edu/homepages/aedept/
More information through EDIRC
References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- 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.
- Haigh, Michael S. & Holt, Matthew T., 1999.
"Volatility Spillovers Between Foreign Exchange, Commodity And Freight Futures Prices: Implications For Hedging Strategies,"
1999 Annual meeting, August 8-11, Nashville, TN
21625, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
- 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.
- Lence, Sergio H. & Hayes, Dermot J., 1994.
"Empirical Minimum-Variance Hedge (The),"
Staff General Research Papers Archive
11565, Iowa State University, Department of Economics.
- 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.
- 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.
- 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.
- Lapan, Harvey E. & Moschini, GianCarlo & Hanson, Steven D., 1991.
"Production Hedging and Speculative Decisions with Options and Future Markets,"
Staff General Research Papers Archive
10810, Iowa State University, Department of Economics.
- 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.
- 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.
When requesting a correction, please mention this item's handle: RePEc:ags:nddaae:23637. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (AgEcon Search)
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If references are entirely missing, you can add them using this form.
If the full references list an item that is present in RePEc, but the system did not link to it, you can help with this form.
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your profile, as there may be some citations waiting for confirmation.
Please note that corrections may take a couple of weeks to filter through the various RePEc services.