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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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    1. Scholes, Myron & Williams, Joseph, 1977. "Estimating betas from nonsynchronous data," Journal of Financial Economics, Elsevier, vol. 5(3), pages 309-327, December.
    2. Sentana, Enrique & Wadhwani, Sushil B, 1992. "Feedback Traders and Stock Return Autocorrelations: Evidence from a Century of Daily Data," Economic Journal, Royal Economic Society, vol. 102(411), pages 415-425, March.
    3. Fama, Eugene F & French, Kenneth R, 1988. "Permanent and Temporary Components of Stock Prices," Journal of Political Economy, University of Chicago Press, vol. 96(2), pages 246-273, April.
    4. Chen, Joseph & Hong, Harrison & Stein, Jeremy C., 2001. "Forecasting crashes: trading volume, past returns, and conditional skewness in stock prices," Journal of Financial Economics, Elsevier, vol. 61(3), pages 345-381, September.
    5. Chelley-Steeley, Patricia L., 2005. "Modeling equity market integration using smooth transition analysis: A study of Eastern European stock markets," Journal of International Money and Finance, Elsevier, vol. 24(5), pages 818-831, September.
    6. Niklas Wagner & Terry Marsh, 2005. "Surprise volume and heteroskedasticity in equity market returns," Quantitative Finance, Taylor & Francis Journals, vol. 5(2), pages 153-168.
    7. Gregory Koutmos, 1999. "Asymmetric Price and Volatility Adjustments in Emerging Asian Stock Markets," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 26(1‐2), pages 83-101, January.
    8. Bollerslev, Tim, 1986. "Generalized autoregressive conditional heteroskedasticity," Journal of Econometrics, Elsevier, vol. 31(3), pages 307-327, April.
    9. Lamoureux, Christopher G & Lastrapes, William D, 1990. "Heteroskedasticity in Stock Return Data: Volume versus GARCH Effects," Journal of Finance, American Finance Association, vol. 45(1), pages 221-229, March.
    10. Chakravarty, Sugato & Sarkar, Asani & Wu, Lifan, 1998. "Information asymmetry, market segmentation and the pricing of cross-listed shares: theory and evidence from Chinese A and B shares," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 8(3-4), pages 325-356, December.
    11. Rui Albuquerque & Gregory Bauer & Martin Schneider, 2004. "International Equity Flows and Returns: A Quantitative Equilibrium Approach," Staff Working Papers 04-42, Bank of Canada.
    12. Tse, Y. K., 2000. "A test for constant correlations in a multivariate GARCH model," Journal of Econometrics, Elsevier, vol. 98(1), pages 107-127, September.
    13. Gregory Koutmos, 1999. "Asymmetric Price and Volatility Adjustments in Emerging Asian Stock Markets," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 26(1-2), pages 83-101.
    14. Kristin J. Forbes & Roberto Rigobon, 2002. "No Contagion, Only Interdependence: Measuring Stock Market Comovements," Journal of Finance, American Finance Association, vol. 57(5), pages 2223-2261, October.
    15. Lo, Andrew W. & Craig MacKinlay, A., 1990. "An econometric analysis of nonsynchronous trading," Journal of Econometrics, Elsevier, vol. 45(1-2), pages 181-211.
    16. Longin, Francois M, 1997. "The Threshold Effect in Expected Volatility: A Model Based on Asymmetric Information," The Review of Financial Studies, Society for Financial Studies, vol. 10(3), pages 837-869.
    17. Amihud, Yakov & Mendelson, Haim, 1987. "Trading Mechanisms and Stock Returns: An Empirical Investigation," Journal of Finance, American Finance Association, vol. 42(3), pages 533-553, July.
    18. Damodaran, Aswath, 1993. "A Simple Measure of Price Adjustment Coefficients," Journal of Finance, American Finance Association, vol. 48(1), pages 387-400, March.
    19. Tse, Y K & Tsui, Albert K C, 2002. "A Multivariate Generalized Autoregressive Conditional Heteroscedasticity Model with Time-Varying Correlations," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(3), pages 351-362, July.
    20. Koutmos, Gregory, 1998. "Asymmetries in the Conditional Mean and the Conditional Variance: Evidence From Nine Stock Markets," Journal of Economics and Business, Elsevier, vol. 50(3), pages 277-290, May.
    21. Ma, Xianghai, 1996. "Capital controls, market segmentation and stock prices: Evidence from the Chinese stock market," Pacific-Basin Finance Journal, Elsevier, vol. 4(2-3), pages 219-239, July.
    22. Berben, Robert-Paul & Jansen, W. Jos, 2005. "Comovement in international equity markets: A sectoral view," Journal of International Money and Finance, Elsevier, vol. 24(5), pages 832-857, September.
    23. Lucas, Robert Jr, 1976. "Econometric policy evaluation: A critique," Carnegie-Rochester Conference Series on Public Policy, Elsevier, vol. 1(1), pages 19-46, January.
    24. Sun, Qian & Tong, Wilson H. S., 2000. "The effect of market segmentation on stock prices: The China syndrome," Journal of Banking & Finance, Elsevier, vol. 24(12), pages 1875-1902, December.
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    Cited by:

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    2. Chiang, Thomas C., 2022. "The effects of economic uncertainty, geopolitical risk and pandemic upheaval on gold prices," Resources Policy, Elsevier, vol. 76(C).
    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.
    4. Chen, Xiaoyu & Chiang, Thomas C., 2016. "Stock returns and economic forces—An empirical investigation of Chinese markets," Global Finance Journal, Elsevier, vol. 30(C), pages 45-65.
    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.
    6. Antonis A. Michis, 2023. "Precious Metals Comovements in Turbulent Times: COVID-19 and the Ukrainian Conflict," JRFM, MDPI, vol. 16(5), pages 1-18, May.

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