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Improving Feeder Cattle Basis Forecasts

Author

Listed:
  • Dhuyvetter, Kevin C.
  • Swanser, Kole
  • Kastens, Terry L.
  • Mintert, James R.
  • Crosby, Brett

Abstract

Forecasting feeder cattle basis has long been difficult because of the myriad factors that influence basis, including input and output prices and lot characteristics. This research draws upon knowledge of the various factors that influence cash feeder cattle prices to develop hedonic feeder cattle basis models. Out-of-sample test results provide strong evidence that these hedonic models predict basis more accurately than the multi-year average forecasting approach commonly used by livestock producers. Results from this research were used to develop a web tool funded by USDA's Risk Management Agency (BeefBasis.com) that producers can use to forecast and understand feeder cattle basis.

Suggested Citation

  • Dhuyvetter, Kevin C. & Swanser, Kole & Kastens, Terry L. & Mintert, James R. & Crosby, Brett, 2008. "Improving Feeder Cattle Basis Forecasts," 2008 Annual Meeting, June 23-24, 2008, Big Sky, Montana 42302, Western Agricultural Economics Association.
    • Handle: RePEc:ags:waeabi:42302
    DOI: 10.22004/ag.econ.42302
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    Cited by:

    1. Swanser, Kole, 2013. "Dynamics of Feeder Cattle Basis and Price Slides," 2013 Annual Meeting, August 4-6, 2013, Washington, D.C. 150249, Agricultural and Applied Economics Association.
    2. 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.

    More about this item

    Keywords

    Agricultural Finance; Demand and Price Analysis; Farm Management; Livestock Production/Industries; Marketing; Risk and Uncertainty;
    All these keywords.

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