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To What Surprises Do Hog Futures Markets Respond?

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  • Frank, Julieta
  • Garcia, Philip
  • Irwin, Scott H.

Abstract

We re-assess the effect of new information contained in the Hogs and Pigs Reports (HPR) focusing on the rationality of the announcements. We find that HPR preliminary numbers are irrational estimates of the final numbers and market expectations before the announcements are also irrational estimates of HPR numbers. Based on these results we modify the conventional measure of new information entering into the market (i.e., announcement - market expectation), and incorporate final estimates and the market’s best forecast into the analysis. Results show modest statistical differences between the conventional and modified measures of surprise; however some economic differences, as large as 27 cents/cwt, emerged. We also find that, as expected, marketings information has a larger effect on short-term price changes and breedings information has a larger effect on long-term price changes.

Suggested Citation

  • Frank, Julieta & Garcia, Philip & Irwin, Scott H., 2007. "To What Surprises Do Hog Futures Markets Respond?," 2007 Conference, April 16-17, 2007, Chicago, Illinois 37573, NCCC-134 Conference on Applied Commodity Price Analysis, Forecasting, and Market Risk Management.
    • Handle: RePEc:ags:nccsci:37573
    DOI: 10.22004/ag.econ.37573
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    Cited by:

    1. 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.
    2. 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.
    3. 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.
    4. Olga Isengildina Massa & Berna Karali & Scott H. Irwin, 2024. "What do we know about the value and market impact of the US Department of Agriculture reports?," Applied Economic Perspectives and Policy, John Wiley & Sons, vol. 46(2), pages 698-736, June.
    5. R. Karina Gallardo & B. Wade Brorsen & Jayson Lusk, 2010. "Prediction markets: an experimental approach to forecasting cattle on feed," Agricultural Finance Review, Emerald Group Publishing Limited, vol. 70(3), pages 414-426, November.

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    More about this item

    JEL classification:

    • C24 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Truncated and Censored Models; Switching Regression Models; Threshold Regression Models
    • Q13 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Agricultural Markets and Marketing; Cooperatives; Agribusiness

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