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Idiosyncratic Risk, Market Risk and Correlation Dynamics in European Equity Markets

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  • Colm Kearney
  • Valerio Poti

Abstract

We examine total, market and idiosyncratic risk and correlation dynamics using daily data from 1993 to 2001 on the 6 largest euro-zone stock market indices and 42 firms from the Dow Jones Eurostoxx50 index. We also estimate conditional correlations using the asymmetric DCC-MVGARCH model. Comparing our results with those of Campbell, Lettau, Malkiel and Xu (2001), stock correlations are higher and have declined less in the euro-zone than in the United States over the 1990s, implying a lower benefit from diversification strategies. By contrast,correlations amongst market indices have risen, with a structural break related to the process of financial integration in the euro-zone.

Suggested Citation

  • Colm Kearney & Valerio Poti, 2004. "Idiosyncratic Risk, Market Risk and Correlation Dynamics in European Equity Markets," The Institute for International Integration Studies Discussion Paper Series iiisdp015, IIIS.
    • Handle: RePEc:iis:dispap:iiisdp015
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    References listed on IDEAS

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    Cited by:

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    2. Sónia Sousa & Ana Serra, 2008. "What drives idiosyncratic volatility over time?," Portuguese Economic Journal, Springer;Instituto Superior de Economia e Gestao, vol. 7(3), pages 155-181, December.
    3. Xiangying Meng & Xianhua Wei, 2018. "Systematic Correlation is Priced as Risk Factor," Journal of Applied Finance & Banking, SCIENPRESS Ltd, vol. 8(6), pages 1-2.
    4. Charles Ka Yui Leung & Patrick Wai Yin Cheung & Edward Chi Ho Tang, 2013. "Financial Crisis and the Co-movements of Housing Sub-markets: Do relationships change after a crisis?," International Real Estate Review, Global Social Science Institute, vol. 16(1), pages 68-118.
    5. Gregory Birg & Brian M. Lucey, 2006. "Integration of smaller European equity markets: a time-varying integration score analysis," Applied Financial Economics Letters, Taylor & Francis Journals, vol. 2(6), pages 395-400.

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