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Major World Equity Market Interdependence a Decade After the 1987 Crash: Evidence From Cross Spectral Analysis

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  • Kenneth L. Smith

Abstract

Several studies have focused on the pre‐ post‐October 1987 crash. Results indicate that major market equity correlations rose during the crash period. Cross spectral analysis is applied to six of the G‐7 markets to determine whether frequency domain correlations have increased post‐crash relative to the pre‐crash period. The results indicate that correlations have increased for most of the markets studied. Most striking are the increased post‐crash correlations among the three European markets, in light of the European Union. Additional evidence shows mixed results regarding frequency domain phase leads among the markets.

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  • Kenneth L. Smith, 1999. "Major World Equity Market Interdependence a Decade After the 1987 Crash: Evidence From Cross Spectral Analysis," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 26(3‐4), pages 365-392, April.
    • Handle: RePEc:bla:jbfnac:v:26:y:1999:i:3-4:p:365-392
    DOI: 10.1111/1468-5957.00260
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    Cited by:

    1. Orlov, Alexei G., 2009. "A cospectral analysis of exchange rate comovements during Asian financial crisis," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 19(5), pages 742-758, December.
    2. Chris Brooks & Melvin J. Hinich, 2001. "A New Tool for Detecting Intraday Periodicities with Application to High Frequency Exchange Rates," ICMA Centre Discussion Papers in Finance icma-dp2001-04, Henley Business School, University of Reading.
    3. Smith, Kenneth L., 2001. "Pre- and post-1987 crash frequency domain analysis among Pacific Rim equity markets," Journal of Multinational Financial Management, Elsevier, vol. 11(1), pages 69-87, February.
    4. Chris Brooks & Melvin. J. Hinich & Douglas M. Patterson, 2003. "Intra-day Patterns in the Returns, Bidask Spereads, and Trading Volume of Stocks Traded on the New York Stock Exchange," ICMA Centre Discussion Papers in Finance icma-dp2003-14, Henley Business School, University of Reading.
    5. Francis In & Sangbae Kim, 2012. "An Introduction to Wavelet Theory in Finance:A Wavelet Multiscale Approach," World Scientific Books, World Scientific Publishing Co. Pte. Ltd., number 8431.
    6. Kim Sangbae & In Francis Haeuck, 2003. "The Relationship Between Financial Variables and Real Economic Activity: Evidence From Spectral and Wavelet Analyses," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 7(4), pages 1-18, December.
    7. Kim Hiang Liow & Shao Yue Angela, 2017. "Return and co-movement of major public real estate markets during global financial crisis," Journal of Property Investment & Finance, Emerald Group Publishing Limited, vol. 35(5), pages 489-508, August.
    8. Zolotoy, L., 2008. "Empirical essays on the information transfer between and the informational efficiency of stock markets," Other publications TiSEM 2a2652c6-1060-4622-8721-8, Tilburg University, School of Economics and Management.
    9. Smith, Kenneth L. & Swanson, Peggy E., 2008. "The dynamics among G7 government bond and equity markets and the implications for international capital market diversification," Research in International Business and Finance, Elsevier, vol. 22(2), pages 222-245, June.

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