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Identifying the evolution of stock markets stochastic structure after the euro


  • Caiado, Jorge
  • Crato, Nuno


Previous studies have investigated the comovements of international equity markets by using correlation, cointegration, common factor analysis, and other approaches. In this paper, we investigate the stochastic structure of major euro and non-euro area stock market series from 1994 to 2006, by using cluster analysis techniques for time series. We use an interpolated-periodogram based metric for level and squared returns in order to compute distances between the stock markets. This method captures the stochastic dependence structure of the time series and solves the shortcoming of unequal sample sizes found for different countries. The clusters of countries are formed by the dendrogram and the principal coordinates associated with the sample spectrum for both the series of returns and volatilities. The empirical results suggest that the cross-country groups have become considerably more homogeneous with the introduction of the euro as an electronic currency. For reference, we also explore the pairwise correlations among the series.

Suggested Citation

  • Caiado, Jorge & Crato, Nuno, 2008. "Identifying the evolution of stock markets stochastic structure after the euro," MPRA Paper 6609, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:6609

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    References listed on IDEAS

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    13. Rita D'Ecclesia & Mauro Costantini, 2006. "Comovements and correlations in international stock markets," The European Journal of Finance, Taylor & Francis Journals, vol. 12(6-7), pages 567-582.
    14. A. Tahai & Robert Rutledge & Khondkar Karim, 2004. "An examination of financial integration for the group of seven (G7) industrialized countries using an I( ) cointegration model," Applied Financial Economics, Taylor & Francis Journals, vol. 14(5), pages 327-335.
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    More about this item


    Cluster analysis; Euro area; International stock markets; Periodogram; Stock returns; Volatility;

    JEL classification:

    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets

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