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Testing for Convergence in Stock Markets: A Non-linear Factor Approach


  • Guglielmo Maria Caporale
  • Burcu Erdogan
  • Vladimir Kuzin


This paper applies the Phillips and Sul (2007) method to test for convergence in stock returns to an extensive dataset including monthly stock price indices for five EU countries (Germany, France, the Netherlands, Ireland and the UK) as well as the US over the period 1973-2008. We carry out the analysis on both sectors and individual industries within sectors. As a first step, we use the Stock and Watson (1998) procedure to filter the data in order to extract the long-run component of the series; then, following Phillips and Sul (2007), we estimate the relative transition parameters. In the case of sectoral indices we find convergence in the middle of the sample period, followed by divergence, and detect four (two large and two small) clusters. The analysis at a disaggregate, industry level again points to convergence in the middle of the sample, and subsequent divergence, but a much larger number of clusters is now found. Splitting the cross-section into two subgroups including Euro area countries, the UK and the US respectively, provides evidence of a global convergence/divergence process not obviously influenced by EU policies.

Suggested Citation

  • Guglielmo Maria Caporale & Burcu Erdogan & Vladimir Kuzin, 2009. "Testing for Convergence in Stock Markets: A Non-linear Factor Approach," Discussion Papers of DIW Berlin 932, DIW Berlin, German Institute for Economic Research.
  • Handle: RePEc:diw:diwwpp:dp932

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    References listed on IDEAS

    1. Peter C. B. Phillips & Donggyu Sul, 2007. "Transition Modeling and Econometric Convergence Tests," Econometrica, Econometric Society, vol. 75(6), pages 1771-1855, November.
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    Cited by:

    1. Nicholas Apergis & Christina Christou & James Payne, 2011. "Political and Institutional Factors in the Convergence of International Equity Markets: Evidence from the Club Convergence and Clustering Procedure," Atlantic Economic Journal, Springer;International Atlantic Economic Society, vol. 39(1), pages 7-18, March.
    2. Apergis, Nicholas & Christou, Christina & Miller, Stephen M., 2014. "Country and industry convergence of equity markets: International evidence from club convergence and clustering," The North American Journal of Economics and Finance, Elsevier, vol. 29(C), pages 36-58.
    3. Apergis, Nicholas & Cooray, Arusha, 2014. "Tax revenues convergence across ASEAN, Pacific and Oceania countries: Evidence from club convergence," Journal of Multinational Financial Management, Elsevier, vol. 27(C), pages 11-21.
    4. Rughoo, Aarti & Sarantis, Nicholas, 2012. "Integration in European retail banking: Evidence from savings and lending rates to non-financial corporations," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 22(5), pages 1307-1327.
    5. Elzbieta Szulc & Dagna Wleklinska, 2015. "Spatio-temporal Analysis of Convergence of Development Level of Selected Stock Exchanges in the Period of 2004–2012," Dynamic Econometric Models, Uniwersytet Mikolaja Kopernika, vol. 15, pages 5-26.
    6. Rughoo, Aarti & Sarantis, Nicholas, 2014. "The global financial crisis and integration in European retail banking," Journal of Banking & Finance, Elsevier, vol. 40(C), pages 28-41.
    7. Rughoo, Aarti & You, Kefei, 2016. "Asian financial integration: Global or regional? Evidence from money and bond markets," International Review of Financial Analysis, Elsevier, vol. 48(C), pages 419-434.
    8. Peter, Manuel, 2015. "Konvergenz der europäischen Aktienmärkte: Eine Analyse der Entwicklungen und Herausforderungen für Investoren," Arbeitspapiere 150, University of Münster, Institute for Cooperatives.

    More about this item


    Stock Market; Financial Integration; European Monetary Union Convergence; Factor Model;

    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
    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models
    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets

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