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The structure of international stock market returns

Author

Listed:
  • Joao A. Bastos

    (CEMAPRE, School of Economics and Management (ISEG), Technical University of Lisbon)

  • Jorge Caiado

    (CEMAPRE, School of Economics and Management (ISEG), Technical University of Lisbon)

Abstract

The behavior of international stock market returns in terms of their distributional properties, serial dependence, long-memory and conditional volatility is examined. A factor analysis is employed to identify the underlying dimensions of the returns. The analysis reveals the existence of meaningful factors when these are estimated from the empirical properties of a large set of international equity indices. Furthermore, the factor scores discriminate very well the stock markets according to size and level of development.

Suggested Citation

  • Joao A. Bastos & Jorge Caiado, 2010. "The structure of international stock market returns," CEMAPRE Working Papers 1002, Centre for Applied Mathematics and Economics (CEMAPRE), School of Economics and Management (ISEG), Technical University of Lisbon.
  • Handle: RePEc:cma:wpaper:1002
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    File URL: http://cemapre.iseg.utl.pt/archive/preprints/418.pdf
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    Cited by:

    1. P., Srinivasan & M., Kalaivani, 2013. "Stock Market Linkages in Emerging Asia-Pacific Markets," MPRA Paper 45871, University Library of Munich, Germany.
    2. Guglielmo Maria Caporale & Luis A. Gil‐Alana & James C. Orlando, 2016. "Linkages Between the US and European Stock Markets: A Fractional Cointegration Approach," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 21(2), pages 143-153, April.

    More about this item

    Keywords

    International stock markets; Serial dependence; Long-memory; Conditional volatility; Factor analysis.;

    JEL classification:

    • C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets

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