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The Reaction of Live Hog Futures Prices to USDA Hogs and Pigs Reports

Author

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  • Phil L. Colling
  • Scott H. Irwin

Abstract

Strong concerns about how efficiently live hog futures prices react to U.S. Department of Agriculture Hogs and Pigs Reports have been raised by livestock producer groups. Using market survey data, direct tests of the efficient markets hypothesis are performed for the live hog futures market. Two-limit tobit models account for institutional price limits. Results support the efficient market hypothesis in that live hog futures prices (a) do not react to anticipated changes in reported information, (b) do react significantly and in the expected direction to unanticipated changes in reported information, and (c) generally adjust to unanticipated information on the day following release of the reports.

Suggested Citation

  • Phil L. Colling & Scott H. Irwin, 1990. "The Reaction of Live Hog Futures Prices to USDA Hogs and Pigs Reports," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 72(1), pages 84-94.
  • Handle: RePEc:oup:ajagec:v:72:y:1990:i:1:p:84-94.
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    File URL: http://hdl.handle.net/10.2307/1243147
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    Citations

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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. Adjemian, Michael K. & Johansson, Robert & McKenzie, Andrew & Thomsen, Michael, 2016. "The Value of Government Information in an Era of Declining Budgets," 2016 Annual Meeting, July 31-August 2, Boston, Massachusetts 235811, Agricultural and Applied Economics Association.
    3. Karali, Berna & Isengildina-Massa, Olga & Irwin, Scott H. & Adjemian, Michael K. & Johansson, Robert, 2019. "Are USDA reports still news to changing crop markets?," Food Policy, Elsevier, vol. 84(C), pages 66-76.
    4. Olga Isengildina-Massa & Berna Karali & Scott H Irwin, 2017. "Do Markets Correct for Smoothing in USDA Crop Production Forecasts? Evidence from Private Analysts and Futures Prices," Applied Economic Perspectives and Policy, Agricultural and Applied Economics Association, vol. 39(4), pages 559-583.
    5. MacDonald, Stephen & Ash, Mark & Cooke, Bryce, 2017. "The Evolution of Inefficiency in USDA’s Forecasts of U.S. and World Soybean Markets," MPRA Paper 87545, University Library of Munich, Germany.
    6. Klomp, Jeroen, 2020. "The impact of Russian sanctions on the return of agricultural commodity futures in the EU," Research in International Business and Finance, Elsevier, vol. 51(C).
    7. Garcia, Philip & Irwin, Scott H. & Leuthold, Raymond M. & Yang, Li, 1997. "The value of public information in commodity futures markets," Journal of Economic Behavior & Organization, Elsevier, vol. 32(4), pages 559-570, April.
    8. Ying, Jiahui & Shonkwiler, J. Scott, 2017. "A Temporal Impact Assessment Method for the Informational Content of USDA Reports in Corn and Soybean Futures Markets," 2017 Annual Meeting, July 30-August 1, Chicago, Illinois 258201, Agricultural and Applied Economics Association.
    9. Bahram Sanginabadi, 2018. "USDA Forecasts: A meta-analysis study," Papers 1801.06575, arXiv.org.
    10. R. Xie & O. Isengildina-Massa & G. P. Dwyer & J. L. Sharp, 2016. "The impact of public and semi-public information on cotton futures market," Applied Economics, Taylor & Francis Journals, vol. 48(36), pages 3416-3431, August.
    11. Valcarcel, Victor J. & Vivian, Andrew J. & Wohar, Mark E., 2017. "Predictability and underreaction in industry-level returns: Evidence from commodity markets," Journal of Commodity Markets, Elsevier, vol. 6(C), pages 1-15.
    12. Lusk, Jayson L., 2016. "From Farm Income to Food Consumption: Valuing USDA Data Products," C-FARE Reports 266593, Council on Food, Agricultural, and Resource Economics (C-FARE).
    13. Diersen, Matthew A., 2001. "South Dakota's Hog Market: Developments and Prospects," Economics Staff Papers 32021, South Dakota State University, Department of Economics.

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