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The cross‐predictability of industry returns in international financial markets

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  • Xin Wang
  • Haofei Zhang

Abstract

This article finds evidence of return cross‐predictability among trading partners in international financial markets. We show that the predictability of international customers dominates the predictability of domestic customers, and the predictability of international intra‐industry customers dominates the predictability of international inter‐industry customers. This return cross‐predictability decreases with two country characteristics: financial sophistication and size.

Suggested Citation

  • Xin Wang & Haofei Zhang, 2023. "The cross‐predictability of industry returns in international financial markets," International Review of Finance, International Review of Finance Ltd., vol. 23(4), pages 859-885, December.
    • Handle: RePEc:bla:irvfin:v:23:y:2023:i:4:p:859-885
    DOI: 10.1111/irfi.12426
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    References listed on IDEAS

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    1. Smajlbegovic, Esad, 2019. "Regional Economic Activity and Stock Returns," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 54(3), pages 1051-1082, June.
    2. Ivo Welch & Amit Goyal, 2008. "A Comprehensive Look at The Empirical Performance of Equity Premium Prediction," The Review of Financial Studies, Society for Financial Studies, vol. 21(4), pages 1455-1508, July.
    3. Harrison Hong & Terence Lim & Jeremy C. Stein, 2000. "Bad News Travels Slowly: Size, Analyst Coverage, and the Profitability of Momentum Strategies," Journal of Finance, American Finance Association, vol. 55(1), pages 265-295, February.
    4. Hong, Harrison & Torous, Walter & Valkanov, Rossen, 2007. "Do industries lead stock markets?," Journal of Financial Economics, Elsevier, vol. 83(2), pages 367-396, February.
    5. Levine, Ross & Zervos, Sara, 1998. "Stock Markets, Banks, and Economic Growth," American Economic Review, American Economic Association, vol. 88(3), pages 537-558, June.
    6. Chinn, Menzie D. & Ito, Hiro, 2006. "What matters for financial development? Capital controls, institutions, and interactions," Journal of Development Economics, Elsevier, vol. 81(1), pages 163-192, October.
    7. Clark, Todd E. & West, Kenneth D., 2007. "Approximately normal tests for equal predictive accuracy in nested models," Journal of Econometrics, Elsevier, vol. 138(1), pages 291-311, May.
    8. Tobias J. Moskowitz & Mark Grinblatt, 1999. "Do Industries Explain Momentum?," Journal of Finance, American Finance Association, vol. 54(4), pages 1249-1290, August.
    9. Chang, Ran & Gonzalez, Angelica & Sarkissian, Sergei & Tu, Jun, 2022. "Internal capital markets and predictability in complex ownership firms," Journal of Corporate Finance, Elsevier, vol. 74(C).
    10. Bailey, Warren & Mao, Connie X. & Sirodom, Kulpatra, 2007. "Investment restrictions and the cross-border flow of information: Some empirical evidence," Journal of International Money and Finance, Elsevier, vol. 26(1), pages 1-25, February.
    11. Lauren Cohen & Andrea Frazzini, 2008. "Economic Links and Predictable Returns," Journal of Finance, American Finance Association, vol. 63(4), pages 1977-2011, August.
    12. Christian Finke & Florian Weigert, 2017. "Does Foreign Information Predict the Returns of Multinational Firms Worldwide?," Review of Finance, European Finance Association, vol. 21(6), pages 2199-2248.
    13. Lane, Philip R. & Milesi-Ferretti, Gian Maria, 2007. "The external wealth of nations mark II: Revised and extended estimates of foreign assets and liabilities, 1970-2004," Journal of International Economics, Elsevier, vol. 73(2), pages 223-250, November.
    14. Clifford S. Asness & Tobias J. Moskowitz & Lasse Heje Pedersen, 2013. "Value and Momentum Everywhere," Journal of Finance, American Finance Association, vol. 68(3), pages 929-985, June.
    15. David E. Rapach & Jack K. Strauss & Guofu Zhou, 2013. "International Stock Return Predictability: What Is the Role of the United States?," Journal of Finance, American Finance Association, vol. 68(4), pages 1633-1662, August.
    16. John Y. Campbell & Samuel B. Thompson, 2008. "Predicting Excess Stock Returns Out of Sample: Can Anything Beat the Historical Average?," Review of Financial Studies, Society for Financial Studies, vol. 21(4), pages 1509-1531, July.
    17. Xing Huang, 2015. "Thinking Outside the Borders: Investors' Underreaction to Foreign Operations Information," The Review of Financial Studies, Society for Financial Studies, vol. 28(11), pages 3109-3152.
    18. Grinblatt, Mark & Keloharju, Matti, 2000. "The investment behavior and performance of various investor types: a study of Finland's unique data set," Journal of Financial Economics, Elsevier, vol. 55(1), pages 43-67, January.
    19. Kenneth A. Froot & Tarun Ramadorai, 2008. "Institutional Portfolio Flows and International Investments," The Review of Financial Studies, Society for Financial Studies, vol. 21(2), pages 937-971, April.
    20. David Schumacher, 2018. "Home Bias Abroad: Domestic Industries and Foreign Portfolio Choice," The Review of Financial Studies, Society for Financial Studies, vol. 31(5), pages 1654-1706.
    21. Cao, Jie & Chordia, Tarun & Lin, Chen, 2016. "Alliances and Return Predictability," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 51(5), pages 1689-1717, October.
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