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Hedging-Effectiveness of Milk Futures Using Value-At-Risk Procedures

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  • Bamba, Ibrahim
  • Maynard, Leigh J.

Abstract

The effectiveness of the Class III Milk futures market is analyzed in terms of the reduction in Value-at-Risk (VaR) for milk producers located in four regions: Wisconsin, Northeast, Florida and California. Constant hedge ratios are estimated using Myers and Thompson's (1989) generalized conditional hedge ratio technique, and time-varying hedge ratios are estimated using an exponentially weighted moving average method. After defining milk price risk as the deviation of the actual milk price from its expected value, the effectiveness of uniform hedging strategies in the Class III milk futures market is assessed using three popular methods for VaR calculations: the parametric method, the historical method, and the Monte Carlo simulation method. The results suggest that uniform hedging strategies can reduce substantially the VaR of milk cash price for appropriately chosen hedge length and hedge signals. For example, a uniform hedge placed seven months prior to delivery and triggered at $11.00 cwt reduces the mailbox price tail risk more than the same uniform hedging established four months before delivery. As expected the higher the Class III utilization the more effective hedging seems. The magnitude of the hedging effectiveness seems to depend more on the hedge length and the hedge trigger than on the methodology used to obtain the hedge ratio or the VaR.

Suggested Citation

  • Bamba, Ibrahim & Maynard, Leigh J., 2004. "Hedging-Effectiveness of Milk Futures Using Value-At-Risk Procedures," 2004 Conference, April 19-20, 2004, St. Louis, Missouri 19028, NCR-134 Conference on Applied Commodity Price Analysis, Forecasting, and Market Risk Management.
  • Handle: RePEc:ags:ncrfou:19028
    DOI: 10.22004/ag.econ.19028
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    Cited by:

    1. Neyhard, James & Tauer, Loren & Gloy, Brent, 2013. "Analysis of Price Risk Management Strategies in Dairy Farming Using Whole-Farm Simulations," Journal of Agricultural and Applied Economics, Southern Agricultural Economics Association, vol. 45(2), pages 1-15, May.
    2. Altman, Ira J. & Sanders, Dwight & Schneider, Jonathan, 2008. "Producer-Level Hedging Effectiveness of Class III Milk Futures," Journal of the ASFMRA, American Society of Farm Managers and Rural Appraisers, vol. 2008, pages 1-8.
    3. Bozic, Marin & Newton, John & Thraen, Cameron S. & Gould, Brian W., 2012. "Mean-reversion in Income over Feed Cost Margins:Evidence and Implications for Managing Margin Risk by U.S. Dairy Producers," Staff Papers 132379, University of Minnesota, Department of Applied Economics.
    4. Sanders, Dwight R. & Schneider, Jonathan & Altman, Ira J., 2007. "Producer-Level Hedging Effectiveness of Class III Milk Futures," 2007 Annual Meeting, February 4-7, 2007, Mobile, Alabama 34983, Southern Agricultural Economics Association.
    5. Newton, John, 2016. "Price Transmission in Global Dairy Markets," International Food and Agribusiness Management Review, International Food and Agribusiness Management Association, vol. 19(B), pages 1-15, August.
    6. Nawazish Mirza & Krishna Reddy & Amir Hasnaoui & Peter Yates, 2020. "A Comparative Analysis of the Hedging Effectiveness of Farmgate Milk Prices for New Zealand and United States Dairy Farmers," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 18(1), pages 129-142, March.

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