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Improving Cattle Basis Forecasting

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  • Tonsor, Glynn T.
  • Dhuyvetter, Kevin C.
  • Mintert, James R.

Abstract

Successful risk management strategies for agribusiness firms based on futures and options contracts are contingent on their ability to accurately forecast basis. This research addresses three primary questions as they relate to basis forecasting accuracy: (a) What is the impact of adopting a time-to-expiration approach, as compared to the more common calendar-date approach? (b) What is the optimal number of years to include in calculations when forecasting livestock basis using historical averages? and (c) What is the effect of incorporating current basis information into a historical-average-based forecast? Results indicate that use of the time-to-expiration approach has little impact on forecast accuracy compared to using a simple calendar approach, but forecast accuracy is improved by incorporating at least a portion of current basis information into basis forecasts.

Suggested Citation

  • Tonsor, Glynn T. & Dhuyvetter, Kevin C. & Mintert, James R., 2004. "Improving Cattle Basis Forecasting," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 29(2), pages 1-14, August.
  • Handle: RePEc:ags:jlaare:31115
    DOI: 10.22004/ag.econ.31115
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    References listed on IDEAS

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    8. Schroeder, Ted C. & Parcell, Joseph L. & Kastens, Terry L. & Dhuyvetter, Kevin C., 1998. "Perceptions Of Marketing Strategies: Producers Versus Extension Economists," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 23(1), pages 1-15, July.
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    Cited by:

    1. Onel, Gulcan & Karali, Berna, 2014. "Relative Performance of Semi-Parametric Nonlinear Models in Forecasting Basis," 2014 Annual Meeting, July 27-29, 2014, Minneapolis, Minnesota 169795, Agricultural and Applied Economics Association.
    2. Riley, John M., 2013. "Extension’s Role in Commodity Marketing Education: Past, Present, and Future," Journal of Agricultural and Applied Economics, Southern Agricultural Economics Association, vol. 45, pages 1-19, August.
    3. Karali, Berna & McNew, Kevin & Thurman, Walter N., 2018. "Price Discovery and the Basis Effects of Failures to Converge in Soft RedWinter Wheat Futures Markets," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 43(1), January.
    4. Pudenz, Christopher C. & Schulz, Lee L., 2021. "Packer Procurement, Structural Change, and Moving Average Basis Forecasts: Lessons from the Fed Dairy Cattle Industry," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 46(3), September.
    5. Bekkerman, Anton & Brester, Gary W. & Taylor, Mykel, 2016. "Forecasting a Moving Target: The Roles of Quality and Timing for Determining Northern U.S. Wheat Basis," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 41(1), pages 1-17, January.
    6. Evelyn V. Colino & Scott H. Irwin, 2010. "Outlook vs. Futures: Three Decades of Evidence in Hog and Cattle Markets," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 92(1), pages 1-15.
    7. Buddhika Patalee & Glynn T. Tonsor, 2021. "Weather effects on U.S. cow‐calf production: A long‐term panel analysis," Agribusiness, John Wiley & Sons, Ltd., vol. 37(4), pages 838-857, October.
    8. Coffey, Brian K. & Tonsor, Glynn T. & Schroeder, Ted C., 2018. "Impacts of Changes in Market Fundamentals and Price Momentum on Hedging Live Cattle," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 43(1), January.
    9. Taylor, Mykel R. & Dhuyvetter, Kevin C. & Kastens, Terry L., 2006. "Forecasting Crop Basis Using Historical Averages Supplemented with Current Market Information," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 31(3), pages 1-19, December.
    10. Pena-Levano, Luis M. & Ramirez, Octavio & Renteria-Pinon, Mario, 2015. "Efficiency Gains in Commodity Forecasting with High Volatility in Prices using Different Levels of Data Aggregation," 2015 AAEA & WAEA Joint Annual Meeting, July 26-28, San Francisco, California 205740, Agricultural and Applied Economics Association.
    11. Tonsor, Glynn T., 2008. "Hedging in Presence of Market Access Risk," 2008 Conference, April 21-22, 2008, St. Louis, Missouri 37621, NCCC-134 Conference on Applied Commodity Price Analysis, Forecasting, and Market Risk Management.
    12. Ward, Clement E. & Schroeder, Ted C. & Schulz, Lee L., 2009. "Impacts from Government Regulations on the Canadian-U.S. Basis for Fed Cattle," 2009 Annual Meeting, July 26-28, 2009, Milwaukee, Wisconsin 49327, Agricultural and Applied Economics Association.
    13. Hirschi, Matt & Feuz, Dillon M., 2010. "Does the Law of One Price Hold for Feeder Cattle Purchased in Various Regions of the US and Shipped to One State in the Midwest?," 2010 Annual Meeting, February 6-9, 2010, Orlando, Florida 56381, Southern Agricultural Economics Association.
    14. Bina, Justin D. & Schroeder, Ted C. & Tonsor, Glynn T., 2022. "Conditional feeder cattle hedge ratios: Cross hedging with fluctuating corn prices," Journal of Commodity Markets, Elsevier, vol. 26(C).

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    Livestock Production/Industries;

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