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Corn and Soybean Basis Behavior and Forecasting: Fundamental and Alternative Approaches

Author

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  • Hayenga, Marvin L.
  • Jiang, Bingrong
Abstract
Corn and Soybean Basis Behavior and Forecasting: Fundamental and Alternative Approaches

Suggested Citation

  • Hayenga, Marvin L. & Jiang, Bingrong, 1997. "Corn and Soybean Basis Behavior and Forecasting: Fundamental and Alternative Approaches," Staff General Research Papers Archive 10400, Iowa State University, Department of Economics.
    • Handle: RePEc:isu:genres:10400
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    Cited by:

    1. Prilly Oktoviany & Robert Knobloch & Ralf Korn, 2021. "A machine learning-based price state prediction model for agricultural commodities using external factors," Decisions in Economics and Finance, Springer;Associazione per la Matematica, vol. 44(2), pages 1063-1085, December.
    2. Lee, Yoonsuk & Brorsen, B. Wade, 2012. "Impacts of Permanent and Transitory Shocks on Optimal Length of Moving Average to Predict Wheat Basis," 2012 Annual Meeting, August 12-14, 2012, Seattle, Washington 125001, Agricultural and Applied Economics Association.
    3. Sanders, Dwight R. & Manfredo, Mark R., 2006. "Forecasting Basis Levels in the Soybean Complex: A Comparison of Time Series Methods," Journal of Agricultural and Applied Economics, Cambridge University Press, vol. 38(3), pages 513-523, December.
    4. Hoffman, Linwood A. & Beachler, Michael, 2001. "Evaluating The Use Of Futures Prices To Forecast The Farm Level U.S. Corn Price," 2001 Annual meeting, August 5-8, Chicago, IL 20612, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    5. Onel, Gulcan & Karali, Berna, 2014. "Relative Performance of Semi-Parametric Nonlinear Models in Forecasting Basis," 2014 Annual Meeting, July 27-29, 2014, Minneapolis, Minnesota 169795, Agricultural and Applied Economics Association.
    6. Hyunseok Kim & GianCarlo Moschini, 2018. "The Dynamics of Supply: U.S. Corn and Soybeans in the Biofuel Era," Land Economics, University of Wisconsin Press, vol. 94(4), pages 593-613.
    7. Anton Bekkerman & Mykel Taylor, 2020. "The Role of Spatial Density and Technological Investment on Optimal Pricing Strategies in the Grain Handling Industry," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 57(1), pages 27-58, August.
    8. Bekkerman, Anton & Pelletier, Denis, 2009. "Basis Volatilities of Corn and Soybean in Spatially Separated Markets: The Effect of Ethanol Demand," 2009 Annual Meeting, July 26-28, 2009, Milwaukee, Wisconsin 49281, Agricultural and Applied Economics Association.
    9. Welch, J. Mark & Mkrtchyan, Vardan & Power, Gabriel J., 2009. "Predicting the Corn Basis in the Texas Triangle Area," Journal of Agribusiness, Agricultural Economics Association of Georgia, vol. 27(1-2), pages 1-15.
    10. Renyuan Shao & Brian Roe, 2003. "The design and pricing of fixed‐ and moving‐window contracts: An application of Asian‐Basket option pricing methods to the hog‐finishing sector," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 23(11), pages 1047-1073, November.
    11. Tonsor, Glynn T. & Dhuyvetter, Kevin C. & Mintert, James R., 2004. "Improving Cattle Basis Forecasting," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 29(2), pages 1-14, August.
    12. Zhang, Rui (Carolyn) & Houston, Jack E., 2005. "Effects of Price Volatility and Surging South American Soybean Production on Short-run Soybean Basis Dynamics," 2005 Conference, April 18-19, 2005, St. Louis, Missouri 19038, NCR-134 Conference on Applied Commodity Price Analysis, Forecasting, and Market Risk Management.
    13. Kastens, Terry L. & Dhuyvetter, Kevin C., 1999. "Post-Harvest Grain Storing And Hedging With Efficient Futures," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 24(2), pages 1-24, December.
    14. Bekkerman, Anton & Taylor, Mykel, 2015. "A Bayesian Learning Approach to Estimating Unbalanced Spatial Panel Models," 2015 AAEA & WAEA Joint Annual Meeting, July 26-28, San Francisco, California 205507, Agricultural and Applied Economics Association.

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