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Empirical analysis of corn and soybean basis in Canada

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  • Getu Hailu
  • Alex Maynard
  • Alfons Weersink

Abstract

The article examines the factors affecting the basis for corn and soybeans using several time-series techniques to account for potential structural breaks, seasonality, residual serial correlation and structural breaks, as well as potential endogeneity and nonstationarity. The spatio-temporal empirical framework is based on storage and trade theories which assume the relationship between nondelivery location's spot price and futures price of a storable commodity depends on opportunity cost of capital, warehousing costs, a convenience yield and shipping costs. The interest rate effect is strong for both crops with shipping costs also affecting soybean basis and own inventory levels positively correlated with corn basis. The effect of the wedge between the price of carrying physical grain and the maximum storage rate on basis is positive for both crops. The empirical results, which are robust to multiple estimators, provide stronger evidence of a structural break for the soybean basis than for the corn basis.

Suggested Citation

  • Getu Hailu & Alex Maynard & Alfons Weersink, 2015. "Empirical analysis of corn and soybean basis in Canada," Applied Economics, Taylor & Francis Journals, vol. 47(51), pages 5491-5509, November.
    • Handle: RePEc:taf:applec:v:47:y:2015:i:51:p:5491-5509
    DOI: 10.1080/00036846.2015.1051654
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    2. Karali, Berna & McNew, Kevin & Thurman, Walter N., 2018. "Price Discovery and the Basis Effects of Failures to Converge in Soft RedWinter Wheat Futures Markets," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 43(1), January.
    3. Zhige Wu & Alex Maynard & Alfons Weersink & Getu Hailu, 2018. "Asymmetric spot‐futures price adjustments in grain markets," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 38(12), pages 1549-1564, December.
    4. 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.

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