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The relationship between US and Canadian wheat futures

Author

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  • G. Geoffrey Booth
  • Paul Brockman
  • Yiuman Tse

Abstract

The purpose of this paper is to investigate the relationship between US and Canadian wheat futures prices in order to analyse the degree of information spillover between the futures exchanges of both countries. Although considerable research has focused on the relationship between US and Canadian equity markets, little work has been conducted on their respective future markets. The increase in market-oriented trade agreements and the decrease of governmental presence in the agricultural sector adds to the importance and timeliness of such a study. The results show that both the US and Canadian wheat futures prices are an integrated series of order one, and that the two series are cointegrated. Although the evidence shows an equilibrium relationship in the long run, short-run dynamics exhibit no such dependencies. These results are relevant for various market participants, including farmers, grain merchants, speculators, exchanges, and regulatory agencies.

Suggested Citation

  • G. Geoffrey Booth & Paul Brockman & Yiuman Tse, 1998. "The relationship between US and Canadian wheat futures," Applied Financial Economics, Taylor & Francis Journals, vol. 8(1), pages 73-80.
  • Handle: RePEc:taf:apfiec:v:8:y:1998:i:1:p:73-80
    DOI: 10.1080/096031098333276
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    8. Sinha, Pankaj & Mathur, Kritika, 2013. "International Linkages of Agri-Processed and Energy commodities traded in India," MPRA Paper 50214, University Library of Munich, Germany, revised 26 Sep 2013.
    9. Kumar Ravi & Dhiman Babli, 2022. "Indian and Chinese Metal Futures Markets: A Linkage Analysis," Acta Universitatis Sapientiae, Economics and Business, Sciendo, vol. 10(1), pages 1-14, September.
    10. Abricha, Amal & Ben Amar, Amine & Bellalah, Makram, 2024. "Commodity futures markets under stress and stress-free periods: Further insights from a quantile connectedness approach," The Quarterly Review of Economics and Finance, Elsevier, vol. 93(C), pages 229-246.
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    13. Liu, Xiaochun & Jacobsen, Brian, 2011. "The Dynamic International Optimal Hedge Ratio," MPRA Paper 35260, University Library of Munich, Germany.
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    15. Tao Chen & Liang Wu & Isabel Kit-Ming Yan, 2013. "On the Use of International Commodity Futures Spread for Forecasting China's Net Imports of Commodities," The World Economy, Wiley Blackwell, vol. 36(7), pages 861-879, July.
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    18. Ramaprasad Bhar & Shigeyuki Hamori, 2006. "Component structures of agricultural commodity futures traded on the Tokyo Grain Exchange," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, vol. 13(1), pages 1-9, March.
    19. Yongmin Zhang & Shusheng Ding & Haili Shi, 2022. "The impact of COVID‐19 on the interdependence between US and Chinese oil futures markets," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 42(11), pages 2041-2052, November.
    20. Philipp Adämmer & Martin T. Bohl & Ernst-Oliver Ledebur, 2015. "Price Transmissions During Financialization and Turmoil: New Evidence from North American and European Agricultural Futures," CQE Working Papers 3815, Center for Quantitative Economics (CQE), University of Muenster.
    21. Jian Yang & Jin Zhang & David J. Leatham, 2003. "Price and Volatility Transmission in International Wheat Futures," Annals of Economics and Finance, Society for AEF, vol. 4(1), pages 37-50, May.
    22. Fabio L. Mattos & Rodrigo Lanna Franco da Silveira, 2018. "The Expansion of the Brazilian Winter Corn Crop and Its Impact on Price Transmission," IJFS, MDPI, vol. 6(2), pages 1-17, April.
    23. Xu, Xiaoqing Eleanor & Fung, Hung-Gay, 2005. "Cross-market linkages between U.S. and Japanese precious metals futures trading," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 15(2), pages 107-124, April.
    24. Jinbo Pang & Lingfei Deng & Gangyi Wang, 2017. "An evolutionarily stable strategy and the critical point of hog futures trading entities based on replicator dynamic theory: 2006–2015 data for China’s 22 provinces," PLOS ONE, Public Library of Science, vol. 12(2), pages 1-18, February.

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