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Why are there time-varying comovements in the European stock market?

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  • Eva Ferreira
  • Susan Orbe

Abstract

This paper analyzes the dynamics of pair comovements between different domestic European stock market returns (Spain, France, Germany, Switzerland and the United Kingdom) seeking to check whether there is a unique source of risk driving those dynamics. Once it is shown that the comovements are time-varying, the question is to find whether a global index such as the Euro Stoxx can be considered the main source of risk. To that end we estimate and test for time-varying global pair covariances and for time-varying remaining pair covariances once the effect of the Euro Stoxx is removed. The empirical results are obtained considering locally stationary variables, a family that includes variables with first and second time-varying moments. Under that framework time-varying means and covariances can be estimated using a spline-based procedure and Wald-type statistics can be computed to test for time-variations. A simulation study shows that the role of the mean estimation part is crucial to the good performance of the tests for second moments. The empirical results evidence that all global pair covariances for the European countries analyzed are time-varying, but also that the Euro Stoxx can be considered as the driving source of risk for these time-varying dynamics. This conclusion is very useful for modeling purpose and financial strategies. Finally, we repeat the analysis considering the Nasdaq as an alternative global index and find that it explains only a small part of the dynamics in the European pair comovements.

Suggested Citation

  • Eva Ferreira & Susan Orbe, 2018. "Why are there time-varying comovements in the European stock market?," The European Journal of Finance, Taylor & Francis Journals, vol. 24(10), pages 828-848, July.
  • Handle: RePEc:taf:eurjfi:v:24:y:2018:i:10:p:828-848
    DOI: 10.1080/1351847X.2017.1339622
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    Cited by:

    1. Alonso Conde, Ana B. & Rojo Suárez, Javier, 2022. "Trends in the explanatory power of factor-based asset pricing models in determining the cost of capital," Cuadernos de Gestión, Universidad del País Vasco - Instituto de Economía Aplicada a la Empresa (IEAE).
    2. Fenghua Wen & Kaiyan Weng & Wei-Xing Zhou, 2020. "Measuring the contribution of Chinese financial institutions to systemic risk: an extended asymmetric CoVaR approach," Risk Management, Palgrave Macmillan, vol. 22(4), pages 310-337, December.

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