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Forward‐Looking USDA Price Forecasts

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  • Adjemian, Michael K.
  • Bruno, Valentina G.
  • Robe, Michel A.

Abstract

USDA generates monthly season‐average price forecasts for key agricultural commodities. Uncertainty about each forecast is indicated by its publication as a price interval. USDA’s forecasting methodology is non‐public, but its uncertainty levels are anecdotally based on historical patterns of price uncertainty and informed by expert opinion. No confidence level is attached to USDA’s intervals, so it is difficult to gauge their accuracy. But in practice, realized season‐average prices regularly fall outside of USDA‐forecasted intervals, particularly those made prior to harvest and late in the marketing year. We demonstrate that forward‐looking density forecasts for the season‐average corn price can be constructed based on the market’s expectation of volatility implied by commodity options premia, combined with historical forecast errors between futures market prices and cash prices paid to farmers. Because implied volatility is forward‐looking, confidence intervals based on these densities reflect anticipatory market sentiment not present in historical data. In out‐of‐sample trials, our 95% confidence intervals contained the final season‐average price for over 92% of the 358 forecasts made between 1995/96 and 2014/15. Compared to a model based on historical data alone, the forward‐looking model is less susceptible to forecast errors. Our approach can enhance the informational value of USDA season‐average price forecasts.

Suggested Citation

  • Adjemian, Michael K. & Bruno, Valentina G. & Robe, Michel A., 2016. "Forward‐Looking USDA Price Forecasts," 2016 Annual Meeting, July 31-August 2, Boston, Massachusetts 235931, Agricultural and Applied Economics Association.
    • Handle: RePEc:ags:aaea16:235931
    DOI: 10.22004/ag.econ.235931
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    References listed on IDEAS

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    1. Olga Isengildina-Massa & Scott Irwin & Darrel Good & Luca Massa, 2011. "Empirical confidence intervals for USDA commodity price forecasts," Applied Economics, Taylor & Francis Journals, vol. 43(26), pages 3789-3803.
    2. Gary Koop & M. Hashem Pesaran & Ron P. Smith, 2013. "On Identification of Bayesian DSGE Models," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 31(3), pages 300-314, July.
    3. Vogel, Fred A. & Bange, Gerald A., 1999. "Understanding USDA Crop Forecasts," USDA Miscellaneous 320799, United States Department of Agriculture.
    4. Egelkraut, Thorsten M. & Garcia, Philip, 2006. "Intermediate Volatility Forecasts Using Implied Forward Volatility: The Performance of Selected Agricultural Commodity Options," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 31(3), pages 1-21, December.
    5. Peter F. Christoffersen & Francis X. Diebold, 2000. "How Relevant is Volatility Forecasting for Financial Risk Management?," The Review of Economics and Statistics, MIT Press, vol. 82(1), pages 12-22, February.
    6. Smith Alexander, 2011. "Identifying In-Group and Out-Group Effects in the Trust Game," The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 11(1), pages 1-13, June.
    7. J. Frank & P. Garcia, 2009. "Time-varying risk premium: further evidence in agricultural futures markets," Applied Economics, Taylor & Francis Journals, vol. 41(6), pages 715-725.
    8. Black, Fischer & Scholes, Myron S, 1973. "The Pricing of Options and Corporate Liabilities," Journal of Political Economy, University of Chicago Press, vol. 81(3), pages 637-654, May-June.
    9. Kastens, Terry L. & Schroeder, Ted C. & Plain, Ronald L., 1998. "Evaluation Of Extension And Usda Price And Production Forecasts," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 23(1), pages 1-18, July.
    10. Linwood A. Hoffman & Xiaoli L. Etienne & Scott H. Irwin & Evelyn V. Colino & Jose I. Toasa, 2015. "Forecast performance of WASDE price projections for U.S. corn," Agricultural Economics, International Association of Agricultural Economists, vol. 46(S1), pages 157-171, November.
    11. Sanders, Dwight R. & Manfredo, Mark R., 2003. "USDA Livestock Price Forecasts: A Comprehensive Evaluation," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 28(2), pages 1-19, August.
    12. Liu, Xiaoquan & Shackleton, Mark B. & Taylor, Stephen J. & Xu, Xinzhong, 2007. "Closed-form transformations from risk-neutral to real-world distributions," Journal of Banking & Finance, Elsevier, vol. 31(5), pages 1501-1520, May.
    13. Isengildina-Massa, Olga & Irwin, Scott H. & Good, Darrel L., 2010. "Quantile Regression Estimates of Confidence Intervals for WASDE Price Forecasts," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 35(3), pages 1-23, December.
    14. Scott H. Irwin & Darrel L. Good, 2004. "Evaluation of USDA Interval Forecasts of Corn and Soybean Prices," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 86(4), pages 990-1004.
    15. Esben Høg & Leonidas Tsiaras, 2011. "Density forecasts of crude‐oil prices using option‐implied and ARCH‐type models," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 31(8), pages 727-754, August.
    16. Michael K. Adjemian, 2012. "Quantifying the WASDE Announcement Effect," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 94(1), pages 238-256.
    17. Hartzmark, Michael L, 1991. "Luck versus Forecast Ability: Determinants of Trader Performance in Futures Markets," The Journal of Business, University of Chicago Press, vol. 64(1), pages 49-74, January.
    18. 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.
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    Cited by:

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    2. Adjemian, Michael K. & Bruno, Valentina & Robe, Michel A. & Wallen, Jonathan, 2017. "What Drives Volatility Expectations in Grain and Oilseed Markets?," 2017 Annual Meeting, July 30-August 1, Chicago, Illinois 258452, Agricultural and Applied Economics Association.

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