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Price Dynamics in U.S. Grain and Freight Markets

Author

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  • Tun‐Hsiang (Edward) Yu
  • David A. Bessler
  • Stephen W. Fuller

Abstract

This paper studies the spatial price linkages in U.S. grain and transportation markets using cointegration analysis and algorithms of inductive causation on directed acyclic graphs. Transport costs and prices from alternative transportation modes are considered to provide a relatively comprehensive view of the interaction between grain and freight markets over time. Dynamic relationship among corn prices in selected U.S. markets and freight rates, extending from January 1990 to December 2002, are explored. Results suggest the Mississippi Gulf (lower Mississippi River port area) is the most dominant corn market among evaluated export and domestic markets. Also, grain barge rates on the upper Mississippi/Illinois Rivers influence domestic corn markets in contemporaneous time. In the longer‐run, significant dynamic relationships among prices in domestic and export corn markets and freight rates are observed; perturbations in transportation rates affect the variation in corn prices considerably. Le présent article examine les relations d'arbitrage spatial entre les prix pour les marchés des céréales et du transport aux États‐Unis à l'aide d'une analyse de cointégration et d'algorithmes utilisant la notion de causalité inductive sur des graphiques acycliques orientés. Les coûts et les prix de divers modes de transport sont examinés afin de fournir un tableau assez complet de l'interaction entre le marché des céréales et le marché du fret au fil du temps. Nous avons exploré la relation dynamique entre les prix du maïs sur des marchés états‐uniens sélectionnés et les taux de fret, entre janvier 1990 et décembre 2002. Les résultats indiquent que le golfe du Mississippi (zone portuaire du Mississippi inférieur) est le marché de maïs le plus important parmi les marchés intérieurs et extérieurs évalués. Les frais de transport des céréales par barge sur le cours supérieur du Mississippi et la rivière Illinois influencent les marchés intérieurs du maïs à l'heure actuelle. À long terme, des liens dynamiques importants entre les prix sur les marchés du maïs intérieur et extérieurs et les frais de transport sont observés. Des changements de frais de transport affectent considérablement la variation des prix du maïs.

Suggested Citation

  • Tun‐Hsiang (Edward) Yu & David A. Bessler & Stephen W. Fuller, 2007. "Price Dynamics in U.S. Grain and Freight Markets," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 55(3), pages 381-397, September.
  • Handle: RePEc:bla:canjag:v:55:y:2007:i:3:p:381-397
    DOI: 10.1111/j.1744-7976.2007.00098.x
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    Cited by:

    1. Ngo Thai Hung, 2020. "Identifying the Dynamic Connectedness between Propane and Oil Prices: Evidence from Wavelet Analysis," International Journal of Energy Economics and Policy, Econjournals, vol. 10(5), pages 315-326.
    2. Lemus, David Magaña & Bessler, David A., 2014. "Price Dynamics in Agricultural Markets: Relationships between the U.S. and Mexico," 88th Annual Conference, April 9-11, 2014, AgroParisTech, Paris, France 169736, Agricultural Economics Society.
    3. Angelopoulos, Jason & Sahoo, Satya & Visvikis, Ilias D., 2020. "Commodity and transportation economic market interactions revisited: New evidence from a dynamic factor model," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 133(C).
    4. Olagunju, Kehinde Oluseyi & Feng, Siyi & Patton, Myles, 2021. "Dynamic relationships among phosphate rock, fertilisers and agricultural commodity markets: Evidence from a vector error correction model and Directed Acyclic Graphs," Resources Policy, Elsevier, vol. 74(C).
    5. Kim, Man-Keun & Tejeda, Hernan & Yu, T. Edward, 2016. "Dynamic and Spatial Relationships in US Rice Markets," 2016 Annual Meeting, February 6-9, 2016, San Antonio, Texas 229784, Southern Agricultural Economics Association.
    6. Axarloglou, Kostas & Visvikis, Ilias & Zarkos, Stefanos, 2013. "The time dimension and value of flexibility in resource allocation: The case of the maritime industry," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 52(C), pages 35-48.
    7. Peri, Massimo & Baldi, Lucia, 2010. "Vegetable oil market and biofuel policy: An asymmetric cointegration approach," Energy Economics, Elsevier, vol. 32(3), pages 687-693, May.
    8. Bai, Xiwen & Lam, Jasmine Siu Lee, 2019. "A copula-GARCH approach for analyzing dynamic conditional dependency structure between liquefied petroleum gas freight rate, product price arbitrage and crude oil price," Energy Economics, Elsevier, vol. 78(C), pages 412-427.
    9. Vangelis Tsioumas & Stratos Papadimitriou, 2018. "The dynamic relationship between freight markets and commodity prices revealed," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 20(2), pages 267-279, June.
    10. Wetzstein, Brian & Florax, Raymond & Foster, Kenneth & Binkley, James, 2021. "Transportation costs: Mississippi River barge rates," Journal of Commodity Markets, Elsevier, vol. 21(C).
    11. Bradley Isbell & Andrew M. McKenzie & B. Wade Brorsen, 2020. "The cost of forward contracting in the Mississippi barge freight river market," Agribusiness, John Wiley & Sons, Ltd., vol. 36(2), pages 226-241, April.

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