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Rational expectations and market efficiency in the U.S. live cattle futures market: The role of proprietary information

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  • Matthew P. Schaefer
  • Robert J. Myers
  • Stephen R. Koontz

Abstract

The role of proprietary information in forecasting and market efficiency in the U.S. live cattle futures market is investigated. Using a unique proprietary data source collected by a private firm, we test whether the initial estimates in the USDA Cattle on Feed Report and the Knight‐Ridder pre‐release forecasts are unbiased and efficient forecasts of final revised USDA Cattle on Feed Report numbers. We then use these results to test whether futures price movements are predictable based on information in the proprietary data. We also test whether the initial estimates from the Cattle on Feed Report have new information that moves prices once the information contained in the proprietary data source has been taken into account. Results suggest that the information contained in the proprietary data source does have statistically significant explanatory power for forecasting final revised Cattle on Feed Report numbers and for predicting short‐term price movements of futures contracts. The results are inconsistent with strong‐form market efficiency in the live cattle futures market. We also find that the initial estimates in the Cattle on Feed Report still have new information that moves prices even after accounting for the unique information in both the Knight‐Ridder pre‐release forecasts and the proprietary data. © 2004 Wiley Periodicals, Inc. Jrl Fut Mark 24:429–451, 2004

Suggested Citation

  • Matthew P. Schaefer & Robert J. Myers & Stephen R. Koontz, 2004. "Rational expectations and market efficiency in the U.S. live cattle futures market: The role of proprietary information," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 24(5), pages 429-451, May.
    • Handle: RePEc:wly:jfutmk:v:24:y:2004:i:5:p:429-451
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    Cited by:

    1. 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.
    2. Matthew Houser & Berna Karali, 2020. "How Scary Are Food Scares? Evidence from Animal Disease Outbreaks," Applied Economic Perspectives and Policy, John Wiley & Sons, vol. 42(2), pages 283-306, June.
    3. Isengildina-Massa, Olga & Cao, Xiang & Karali, Berna & Irwin, Scott H. & Adjemian, Michael & Johansson, Robert C., 2021. "When does USDA information have the most impact on crop and livestock markets?," Journal of Commodity Markets, Elsevier, vol. 22(C).
    4. Berna Karali & Walter N. Thurman, 2009. "Announcement effects and the theory of storage: an empirical study of lumber futures," Agricultural Economics, International Association of Agricultural Economists, vol. 40(4), pages 421-436, July.
    5. Andrew M. McKenzie & Michael R. Thomsen & Michael K. Adjemian, 2022. "Characterizing implied volatility functions from agricultural options markets," American Journal of Agricultural Economics, John Wiley & Sons, vol. 104(5), pages 1605-1624, October.
    6. 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).

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