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Forecasting Accuracy, Rational Expectations And Market Efficiency In The Us Beef Cattle Industry

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  • Schaefer, Matthew P.
  • Myers, Robert J.

Abstract

Recent studies have tested whether futures prices respond to U.S. Department of Agriculture inventory reports in accordance with the efficient markets hypothesis. These studies use survey forecasts to identify the anticipated and unanticipated information contained in a report. However, this approach implicitly assumes that survey forecasts be an unbiased and efficient predictor of the data in the USDA report. Furthermore, previous studies have not tested the bias and efficiency properties of USDA preliminary estimates as predictors of final revised USDA figures. This study introduces a framework for conducting tests of the efficient markets hypothesis in the presence of biased and inefficient survey forecasts, and preliminary USDA estimates that are biased and inefficient predictors of final revised figures. The approach is applied to the US beef cattle industry and results are quite different from those obtained using conventional analysis.

Suggested Citation

  • Schaefer, Matthew P. & Myers, Robert J., 1999. "Forecasting Accuracy, Rational Expectations And Market Efficiency In The Us Beef Cattle Industry," 1999 Annual meeting, August 8-11, Nashville, TN 21487, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
  • Handle: RePEc:ags:aaea99:21487
    DOI: 10.22004/ag.econ.21487
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    References listed on IDEAS

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    Cited by:

    1. Bahram Sanginabadi, 2018. "USDA Forecasts: A meta-analysis study," Papers 1801.06575, arXiv.org.
    2. Jeffrey B. Mills & Ted C. Schroeder, 2004. "Are cattle on feed report revisions random and does industry anticipate them?," Agribusiness, John Wiley & Sons, Ltd., vol. 20(3), pages 363-374.
    3. repec:kap:iaecre:v:15:y:2009:i:4:p:470-482 is not listed on IDEAS
    4. Sung No & Michael Salassi, 2009. "A Sequential Rationality Test of USDA Preliminary Price Estimates for Selected Program Crops: Rice, Soybeans, and Wheat," International Advances in Economic Research, Springer;International Atlantic Economic Society, vol. 15(4), pages 470-482, November.

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