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Stochastic Correlation Across International Stock Markets

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  • Ball, Clifford A.
  • Torous, Walter N.
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    Abstract

    This paper examines the correlation across a number of international stock market indices. As correlation is not observable, we assume it to be a latent variable whose dynamics must be estimated using data on observables. To do so, we use ¯ltering methods to extract stochastic correlation from returns data. We ¯nd evidence that the estimated correlation structure is dynamically changing over time. We also investigate the link between stochastic correlation and volatility. In general, stochastic correlation tends to increase in response to higher volatility but the e®ect is by no means consistent. These results have important implications for portfolio theory as well as risk management.

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    Bibliographic Info

    Paper provided by Anderson Graduate School of Management, UCLA in its series University of California at Los Angeles, Anderson Graduate School of Management with number qt6vn9q79w.

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    Date of creation: 07 Jun 2000
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    Handle: RePEc:cdl:anderf:qt6vn9q79w

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    Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
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    1. Ang, Andrew & Bekaert, Geert, 2002. "Regime Switches in Interest Rates," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(2), pages 163-82, April.
    2. Clifford A. Ball & Walter N. Torous, 1999. "The Stochastic Volatility of Short-Term Interest Rates: Some International Evidence," Journal of Finance, American Finance Association, vol. 54(6), pages 2339-2359, December.
    3. Bollerslev, Tim, 1986. "Generalized autoregressive conditional heteroskedasticity," Journal of Econometrics, Elsevier, vol. 31(3), pages 307-327, April.
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    Cited by:
    1. Andrea Beltratti & Claudio Morana, 2006. "Comovements in International Stock Markets," ICER Working Papers 3-2006, ICER - International Centre for Economic Research.
    2. Berg, Nathan & Gu, Anthony Y. & Lien, Donald, 2007. "Dynamic correlation: A tool hedging house-price risk?," MPRA Paper 26368, University Library of Munich, Germany.
    3. Caiado, Jorge & Crato, Nuno, 2007. "A GARCH-based method for clustering of financial time series: International stock markets evidence," MPRA Paper 2074, University Library of Munich, Germany.
    4. Campbell, Rachel & Koedijk, Kees & Kofman, Paul, 2002. "Increased correlation in bear markets," Open Access publications from Maastricht University urn:nbn:nl:ui:27-19571, Maastricht University.
    5. Robert-Paul Berben & W. Jos Jansen, 2005. "Bond Market and Stock Market Integration in Europe," DNB Working Papers 060, Netherlands Central Bank, Research Department.
    6. Caiado, Jorge & Crato, Nuno & Peña, Daniel, 2007. "Is there an identity within international stock market volatilities?," MPRA Paper 2069, University Library of Munich, Germany.
    7. Claudio Morana, 2006. "International Stock Markets Comovements: the Role of Economic and Financial Integration," ICER Working Papers 25-2006, ICER - International Centre for Economic Research.
    8. Rezayat, Fahimeh & Yavas, Burhan F., 2006. "International portfolio diversification: A study of linkages among the U.S., European and Japanese equity markets," Journal of Multinational Financial Management, Elsevier, vol. 16(4), pages 440-458, October.
    9. Andrew Stuart Duncan & Alain Kabundi, 2011. "Global Financial Crises and Time-varying Volatility Comovement in World Equity Markets," Working Papers 253, Economic Research Southern Africa.

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