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Chinese and world equity markets: A review of the volatilities and correlations in the first fifteen years

Author

Listed:
  • Lin, Kuan-Pin
  • Menkveld, Albert J.
  • Yang, Zhishu
Abstract
After more than 15years of Chinese equity markets, we study how variance, covariance, and correlations have developed in these markets relative to world markets, based on the dynamic conditional correlation (DCC) model of Engle [Engle, R., 2002. A dynamic conditional correlation: A simple class of multivariate generalized autoregressive conditional heteroskedasticity models. Journal of Business & Economic Statistics 20(3), 339-350.]. Chinese markets offer A-shares to domestic investors and otherwise identical B-shares to foreign investors. We find that the volatility of A-shares has declined over the past decade. We find no asymmetric volatility relative to world markets in China. Contrary to the global trend of increasing cross-country correlations, we find stationary correlations for China. A-share indices have never been correlated with world markets, and B-share indices exhibit a low degree of correlation with Western markets (0-5%) and a slightly higher degree of correlation with other Asian markets (10-20%). We interpret these findings using Gordon's growth model.

Suggested Citation

  • Lin, Kuan-Pin & Menkveld, Albert J. & Yang, Zhishu, 2009. "Chinese and world equity markets: A review of the volatilities and correlations in the first fifteen years," China Economic Review, Elsevier, vol. 20(1), pages 29-45, March.
    • Handle: RePEc:eee:chieco:v:20:y:2009:i:1:p:29-45
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    1. De Santis, Giorgio & Gerard, Bruno, 1997. "International Asset Pricing and Portfolio Diversification with Time-Varying Risk," Journal of Finance, American Finance Association, vol. 52(5), pages 1881-1912, December.
    2. Andrew Ang & Geert Bekaert, 2002. "International Asset Allocation With Regime Shifts," The Review of Financial Studies, Society for Financial Studies, vol. 15(4), pages 1137-1187.
    3. Kalok Chan & Albert J. Menkveld & Zhishu Yang, 2008. "Information Asymmetry and Asset Prices: Evidence from the China Foreign Share Discount," Journal of Finance, American Finance Association, vol. 63(1), pages 159-196, February.
    4. Sun, Qian & Tong, Wilson H. S., 2003. "China share issue privatization: the extent of its success," Journal of Financial Economics, Elsevier, vol. 70(2), pages 183-222, November.
    5. Lorenzo Cappiello & Robert F. Engle & Kevin Sheppard, 2006. "Asymmetric Dynamics in the Correlations of Global Equity and Bond Returns," Journal of Financial Econometrics, Oxford University Press, vol. 4(4), pages 537-572.
    6. Bekaert, Geert & Wu, Guojun, 2000. "Asymmetric Volatility and Risk in Equity Markets," The Review of Financial Studies, Society for Financial Studies, vol. 13(1), pages 1-42.
    7. Bailey, Warren & Chung, Y. Peter & Kang, Jun-koo, 1999. "Foreign Ownership Restrictions and Equity Price Premiums: What Drives the Demand for Cross-Border Investments?," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 34(4), pages 489-511, December.
    8. Glosten, Lawrence R & Jagannathan, Ravi & Runkle, David E, 1993. "On the Relation between the Expected Value and the Volatility of the Nominal Excess Return on Stocks," Journal of Finance, American Finance Association, vol. 48(5), pages 1779-1801, December.
    9. Christodoulakis, George A. & Satchell, Stephen E., 2002. "Correlated ARCH (CorrARCH): Modelling the time-varying conditional correlation between financial asset returns," European Journal of Operational Research, Elsevier, vol. 139(2), pages 351-370, June.
    10. Engle, Robert, 2002. "Dynamic Conditional Correlation: A Simple Class of Multivariate Generalized Autoregressive Conditional Heteroskedasticity Models," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(3), pages 339-350, July.
    11. John Fernald & John H. Rogers, 2002. "Puzzles In The Chinese Stock Market," The Review of Economics and Statistics, MIT Press, vol. 84(3), pages 416-432, August.
    12. Andrew J. Patton, 2006. "Modelling Asymmetric Exchange Rate Dependence," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 47(2), pages 527-556, May.
    13. François Longin & Bruno Solnik, 2001. "Extreme Correlation of International Equity Markets," Journal of Finance, American Finance Association, vol. 56(2), pages 649-676, April.
    14. 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.
    15. repec:bla:jfinan:v:59:y:2004:i:6:p:2809-2834 is not listed on IDEAS
    16. Chan, Kalok & Menkveld, Albert J. & Yang, Zhishu, 2007. "The informativeness of domestic and foreign investors' stock trades: Evidence from the perfectly segmented Chinese market," Journal of Financial Markets, Elsevier, vol. 10(4), pages 391-415, November.
    17. Bollerslev, Tim, 1990. "Modelling the Coherence in Short-run Nominal Exchange Rates: A Multivariate Generalized ARCH Model," The Review of Economics and Statistics, MIT Press, vol. 72(3), pages 498-505, August.
    18. Jianping Mei & Jose Scheinkman & Wei Xiong, 2005. "Speculative Trading and Stock Prices: An Analysis of Chinese A-B Share Premia," Levine's Bibliography 122247000000000867, UCLA Department of Economics.
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