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Short-term price density forecasts in the lean hog futures market

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  • Andres Trujillo-Barrera
  • Philip Garcia
  • Mindy L Mallory

Abstract

We estimate and evaluate ex-ante density forecasts of lean hog futures prices using two approaches: forward-looking techniques using options market data and time series models. Our findings indicate that risk-neutral and risk-adjusted forward-looking market techniques are better calibrated and have superior predictive accuracy than time series GARCH models based on historical data. Improvements to goodness of fit and accuracy of the forecasts obtained by the calibration from risk-neutral to real-world densities imply that short-term risk premiums may be present in the lean hog futures markets, and they most likely appear in periods of market turmoil.

Suggested Citation

  • Andres Trujillo-Barrera & Philip Garcia & Mindy L Mallory, 2018. "Short-term price density forecasts in the lean hog futures market," European Review of Agricultural Economics, Foundation for the European Review of Agricultural Economics, vol. 45(1), pages 121-142.
  • Handle: RePEc:oup:erevae:v:45:y:2018:i:1:p:121-142.
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    File URL: http://hdl.handle.net/10.1093/erae/jbx026
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    References listed on IDEAS

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    Cited by:

    1. Michael K. Adjemian & Valentina G. Bruno & Michel A. Robe, 2020. "Incorporating Uncertainty into USDA Commodity Price Forecasts," American Journal of Agricultural Economics, John Wiley & Sons, vol. 102(2), pages 696-712, March.

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    Keywords

    density forecast; commodities; price analysis;

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