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The dynamic dependence between the Chinese market and other international stock markets: A time-varying copula approach

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  • Wang, Kehluh
  • Chen, Yi-Hsuan
  • Huang, Szu-Wei
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    Abstract

    The purpose of this paper is to study the dependence structures between the Chinese market and other major world markets, a reflection of China's increasing integration into the global economy. We used time-varying copula models to show that conditional copulas outperform both unconditional copulas and conventional GARCH models. We consistently found the Chinese market to have the highest levels of dependence, as well as the greatest variability in dependence, with markets in Japan and the Pacific. Our results provide investors interested in the Chinese market with more timely suggestions for portfolio diversification, risk management, and international asset allocation than those derived from static models.

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    Bibliographic Info

    Article provided by Elsevier in its journal International Review of Economics & Finance.

    Volume (Year): 20 (2011)
    Issue (Month): 4 (October)
    Pages: 654-664

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    Handle: RePEc:eee:reveco:v:20:y:2011:i:4:p:654-664

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    Web page: http://www.elsevier.com/locate/inca/620165

    Related research

    Keywords: Dependence structure Time-varying copula International investment Chinese market Diversification;

    References

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    Cited by:
    1. Zhang, Bing & Li, Xiao-Ming, 2014. "Has there been any change in the comovement between the Chinese and US stock markets?," International Review of Economics & Finance, Elsevier, vol. 29(C), pages 525-536.
    2. Heni Boubaker & Nadia Sghaier, 2014. "On the dynamic dependence between US and other developed stock markets: An extreme-value time-varying copula approach," Working Papers 2014-281, Department of Research, Ipag Business School.
    3. El Alaoui, Marwane & Benbachir, Saâd, 2012. "Spillover Effect in the MENA Area: Case of Four Financial Markets," MPRA Paper 48682, University Library of Munich, Germany.
    4. Abu Bakar, Norhidayah & Masih, Abul Mansur M., 2014. "The Dynamic Linkages between Islamic Index and the Major Stock Markets: New Evidence from Wavelet time-scale decomposition Analysis," MPRA Paper 56977, University Library of Munich, Germany.
    5. Zhu, Hui-Ming & Li, Rong & Li, Sufang, 2014. "Modelling dynamic dependence between crude oil prices and Asia-Pacific stock market returns," International Review of Economics & Finance, Elsevier, vol. 29(C), pages 208-223.

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