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Predicting the Corn Basis in the Texas Triangle Area

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  • Welch, J. Mark
  • Mkrtchyan, Vardan
  • Power, Gabriel J.

Abstract

Shifting patterns of corn use as a result of the ethanol boom may be causing basis levels to change across the United States, creating the need for methods to predict basis levels in dynamic conditions. This study develops a new and straightforward economic model of basis forecasting that outperforms the simple three-year average method suggested in much of the literature. We use monthly data of the corn basis in the Texas Triangle Area from February 1997 to July 2008. The results show the new model based on economic fundamentals performs better than basis estimates using a three-year moving average.

Suggested Citation

  • 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.
    • Handle: RePEc:ags:jloagb:90657
    DOI: 10.22004/ag.econ.90657
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    1. Seamon, V. Frederick & Kahl, Kandice H. & Curtis, Charles E., Jr., 1997. "A Regional Comparison Of U.S. Cotton Basis Patterns," Working Papers 18806, Clemson University, Department of Agricultural and Applied Economics.
    2. Tomek, William G. & Peterson, Hikaru Hanawa, 2000. "Risk Management in Agricultural Markets: A Survey," Staff Papers 121140, Cornell University, Department of Applied Economics and Management.
    3. Outlaw, Joe L. & Anderson, David P. & Klose, Steven L. & Richardson, James W. & Herbst, Brian K. & Waller, Mark L. & Raulston, J. Marc & Sneary, Shannon L. & Gill, Robert Chope, II, 2003. "An Economic Examination of Potential Ethanol Production in Texas," Working Papers 42707, Texas A&M University, Agricultural and Food Policy Center.
    4. 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.
    5. Parcell, Joe L. & Schroeder, Ted C. & Dhuyvetter, Kevin C., 2000. "Factors Affecting Live Cattle Basis," Journal of Agricultural and Applied Economics, Cambridge University Press, vol. 32(3), pages 531-541, December.
    6. Taylor, Mykel R. & Dhuyvetter, Kevin C. & Kastens, Terry L., 2006. "Forecasting Crop Basis Using Historical Averages Supplemented with Current Market Information," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 31(3), pages 1-19, December.
    7. Jiang, Bingrong, 1997. "Corn and soybean basis behavior and forecasting: fundamental and alternative approaches," ISU General Staff Papers 1997010108000013213, Iowa State University, Department of Economics.
    8. 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.
    9. William G. Tomek, 1997. "Commodity Futures Prices as Forecasts," Review of Agricultural Economics, Agricultural and Applied Economics Association, vol. 19(1), pages 23-44.
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    Cited by:

    1. William Wilson & Prithviraj Lakkakula, 2021. "Secondary rail car markets for grain transportation and basis values," Agribusiness, John Wiley & Sons, Ltd., vol. 37(3), pages 472-488, July.
    2. Javier Ho & Paul Bernal, 2021. "Estimating a global demand model for soybean traffic through the Panama Canal," Journal of Shipping and Trade, Springer, vol. 6(1), pages 1-23, December.
    3. Adjemian, Michael K. & Marshall, Kandice K. & Hubbs, Todd & Penn, Jerrod, 2016. "Decomposing Local Prices into Hedgeable and Unhedgeable Shocks," 2016 Annual Meeting, July 31-August 2, Boston, Massachusetts 235874, Agricultural and Applied Economics Association.
    4. Mohammad Hasan Mobarok & Wyatt Thompson & Theodoros Skevas, 2024. "Sensitivity of the United States crop basis and distribution network to precipitation," Agribusiness, John Wiley & Sons, Ltd., vol. 40(4), pages 908-925, October.

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    Agribusiness; Marketing;

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