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An empirical analysis of international equity market co-movements: implications for informational efficiency

  • Manuela CROCI

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    Relying on the common statement that New York is a leader market in the world, this paper investigates whether the American market drives the performance of other world's stock markets and whether the interdependence becomes higher in periods of economic downturn and poor market performance (asymmetry in stock market co-movements). Results confirm that the behavior of major stock markets in the world is partly explained by comovements with America's exchange and, more importantly, that there is evidence for an asymmetric behavior. Additionally, estimated results are consistent with the notion of informationally effient stock markets, as the transmission of news from America to the rest of the world is completed within few days.

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    File URL: http://docs.dises.univpm.it/web/quaderni/pdf/197.pdf
    File Function: First version, 2003
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    Paper provided by Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali in its series Working Papers with number 197.

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    Length: 37
    Date of creation: Nov 2003
    Date of revision:
    Handle: RePEc:anc:wpaper:197
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    1. Bracker, Kevin & Docking, Diane Scott & Koch, Paul D., 1999. "Economic determinants of evolution in international stock market integration," Journal of Empirical Finance, Elsevier, vol. 6(1), pages 1-27, January.
    2. Fama, Eugene F & French, Kenneth R, 1988. "Permanent and Temporary Components of Stock Prices," Journal of Political Economy, University of Chicago Press, vol. 96(2), pages 246-73, April.
    3. Philipp Hartmann & Angela Maddaloni & Simone Manganelli, 2003. "The Euro-area Financial System: Structure, Integration, and Policy Initiatives," Oxford Review of Economic Policy, Oxford University Press, vol. 19(1), pages 180-213.
    4. Eun, Cheol S. & Shim, Sangdal, 1989. "International Transmission of Stock Market Movements," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 24(02), pages 241-256, June.
    5. Bollerslev, Tim, 1986. "Generalized autoregressive conditional heteroskedasticity," Journal of Econometrics, Elsevier, vol. 31(3), pages 307-327, April.
    6. Neumark, David & Tinsley, P A & Tosini, Suzanne, 1991. " After-Hours Stock Prices and Post-Crash Hangovers," Journal of Finance, American Finance Association, vol. 46(1), pages 159-78, March.
    7. Longin, Francois & Solnik, Bruno, 1995. "Is the correlation in international equity returns constant: 1960-1990?," Journal of International Money and Finance, Elsevier, vol. 14(1), pages 3-26, February.
    8. Poterba, James M. & Summers, Lawrence H., 1988. "Mean reversion in stock prices : Evidence and Implications," Journal of Financial Economics, Elsevier, vol. 22(1), pages 27-59, October.
    9. Flavin, Thomas J & Hurley, Margaret J & Rousseau, Fabrice, 2002. "Explaining Stock Market Correlation: A Gravity Model Approach," Manchester School, University of Manchester, vol. 70(0), pages 87-106, Supplemen.
    10. LeRoy, Stephen F & Porter, Richard D, 1981. "The Present-Value Relation: Tests Based on Implied Variance Bounds," Econometrica, Econometric Society, vol. 49(3), pages 555-74, May.
    11. King, Mervyn A & Wadhwani, Sushil, 1990. "Transmission of Volatility between Stock Markets," Review of Financial Studies, Society for Financial Studies, vol. 3(1), pages 5-33.
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