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Explaining Stock Market Correlation: A Gravity Model Approach

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  • Flavin, Thomas J
  • Hurley, Margaret J
  • Rousseau, Fabrice

Abstract

A gravity model, frequently used to explain trade patterns, is used to explain stock market correlations. The main result of the trade literature is that geography matters for goods markets. Physical location and trading costs should be less of an issue in asset markets. However we find that geographical variables still matter when examining equity market linkages. In particular, the number of overlapping opening hours and sharing a common border tends to increase cross-country stock market correlation. These results may stem from asymmetrical information and investor sentiment, lending some empirical support for these explanations of the international diversification puzzle. Copyright 2002 by Blackwell Publishers Ltd and The Victoria University of Manchester

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Article provided by University of Manchester in its journal Manchester School.

Volume (Year): 70 (2002)
Issue (Month): 0 (Supplement)
Pages: 87-106

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Handle: RePEc:bla:manchs:v:70:y:2002:i:0:p:87-106

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