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Empirical analysis of dynamic correlations of stock returns: evidence from Chinese A-share and B-share markets

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  • Thomas Chiang
  • Lin Tan
  • Huimin Li

Abstract

This paper examines the dynamic correlation structure between A-share and B-share stock returns based on three different measures of correlation coefficients. Testing the models by employing daily stock-return data for the period from 1996 through 2003, we reach the following empirical conclusions. First, the correlation coefficients between A-share and B-share stock returns are time varying. Second, the dynamic path of the correlation coefficients indicates that the correlation coefficients are significantly correlated with the trend factor. Third, there is a substantial spillover effect from the Asian crisis to Chinese stock-return dynamic correlations. Fourth, the evidence suggests that the time-varying correlations are significantly associated with excessive trading activity as measured by excessive trading volumes and high-low price differentials. Fifth, the correlation between A-share and B-share markets has increased since the relaxation of the restriction on B-share market investments by domestic investors.

Suggested Citation

  • Thomas Chiang & Lin Tan & Huimin Li, 2007. "Empirical analysis of dynamic correlations of stock returns: evidence from Chinese A-share and B-share markets," Quantitative Finance, Taylor & Francis Journals, vol. 7(6), pages 651-667.
    • Handle: RePEc:taf:quantf:v:7:y:2007:i:6:p:651-667
    DOI: 10.1080/14697680601173147
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    3. Ebenezer Asem & Vishaal Baulkaran & Rossitsa Yalamova & Xiaofei Zhang, 2017. "Internal Market Efficiency, Market Co-movement, and Cross-Market Efficiency: The Case of Hong Kong and Shanghai Stock Markets," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, vol. 24(4), pages 253-267, December.
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    5. Chien-Chiang Lee & Mei-Ping Chen & Kuan-Mien Hsieh, 2012. "Industry herding and market states: evidence from Chinese stock markets," Quantitative Finance, Taylor & Francis Journals, vol. 13(7), pages 1091-1113, October.
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