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Market Reaction to Inefficiencies in USDA Crop Production Forecasts

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  • Isengildina-Massa, Olga
  • Karali, Berna
  • Irwin, Scott H.

Abstract

This study evaluates whether smoothing (positive correlation in subsequent revisions) in USDA corn, soybean, and wheat production forecasts is likely to result in misallocation of economic resources. Smoothing, like any other type of forecast inefficiency, implies that some of the information in these forecasts is predictable. Based on the evidence of smoothing, we decomposed market surprise and forecast revision into predictable and unpredictable components. Our results show that futures markets tended to react only to the unpredictable component, therefore indicating that market participants were aware of smoothing and adjusted for it in forming their price expectations.
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Suggested Citation

  • Isengildina-Massa, Olga & Karali, Berna & Irwin, Scott H., 2016. "Market Reaction to Inefficiencies in USDA Crop Production Forecasts," 2016 Annual Meeting, July 31-August 2, Boston, Massachusetts 235507, Agricultural and Applied Economics Association.
    • Handle: RePEc:ags:aaea16:235507
    DOI: 10.22004/ag.econ.235507
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    1. David E. Runkle, 1991. "Are Farrowing Intentions Rational Forecasts?," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 73(3), pages 594-600.
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    4. repec:cup:jagaec:v:40:y:2008:i:1:p:73-87_18 is not listed on IDEAS
    5. Olga Isengildina & Scott H. Irwin & Darrel L. Good, 2006. "Are Revisions to USDA Crop Production Forecasts Smoothed?," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 88(4), pages 1091-1104.
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    10. Xiao, Jinzhi & Lence, Sergio H. & Hart, Chad, 2014. "Usda And Private Analysts' Forecasts Of Ending Stocks: How Good Are They?," 2014 Annual Meeting, July 27-29, 2014, Minneapolis, Minnesota 170642, Agricultural and Applied Economics Association.
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    13. Egelkraut, Thorsten M. & Garcia, Philip & Irwin, Scott H. & Good, Darrel L., 2003. "An Evaluation of Crop Forecast Accuracy for Corn and Soybeans: USDA and Private Information Agencies," Journal of Agricultural and Applied Economics, Southern Agricultural Economics Association, vol. 35(1), pages 1-17, April.
    14. 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.
    15. Isengildina, Olga & Irwin, Scott H. & Good, Darrel L., 2004. "Does The Market Anticipate Smoothing In Usda Crop Production Forecasts?," 2004 Annual meeting, August 1-4, Denver, CO 20145, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
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    Cited by:

    1. Berna Karali & Scott H. Irwin & Olga Isengildina‐Massa, 2020. "Supply Fundamentals and Grain Futures Price Movements," American Journal of Agricultural Economics, John Wiley & Sons, vol. 102(2), pages 548-568, March.
    2. Fiechter, Chad & Kuethe, Todd & Zhang, Wendong, 2023. "Information Rigidities and Farmland Value Expectations," ISU General Staff Papers 202306131414240000, Iowa State University, Department of Economics.
    3. Adrian Fernandez‐Perez & Bart Frijns & Ivan Indriawan & Alireza Tourani‐Rad, 2019. "Surprise and dispersion: informational impact of USDA announcements," Agricultural Economics, International Association of Agricultural Economists, vol. 50(1), pages 113-126, January.
    4. Jesse Tack & Keith H. Coble & Robert Johansson & Ardian Harri & Barry J. Barnett, 2019. "The Potential Implications of “Big Ag Data” for USDA Forecasts," Applied Economic Perspectives and Policy, John Wiley & Sons, vol. 41(4), pages 668-683, December.

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