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Downside Risk in the Chinese Stock Market - Has it Fundamentally Changed?

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  • Ghysels, Eric
  • Liu, Hanwei

Abstract

The Chinese economy has gained a more significant role on the world stage. As a consequence, a wide range of investors, both domestic and foreign, have paid more attention to the Chinese stock market. One focal point has been the downside risk, in particular in light of the large price movements and the regulatory changes which took place over time. In this paper we study the pattern of downside risks using the 1\% and 5\% conditional quantiles of the equity index returns. One of our ultimate goals is to provide an objective assessment of the regulatory policy changes and government actions in the Chinese market. We discover several break dates linked to major financial crises and trading reforms put forth by the China Securities Regulatory Commission. Furthermore, our findings indicate that breaks in the B shares and the H shares downside risk tend to appear earlier than those corresponding to the A shares returns. Lastly, the revised Qualified Foreign Institutional Investor (QFII) program in 2006 and government share purchasing actions in 2015 have shown to be effective at alleviating downside risks in the Shanghai A shares.

Suggested Citation

  • Ghysels, Eric & Liu, Hanwei, 2017. "Downside Risk in the Chinese Stock Market - Has it Fundamentally Changed?," CEPR Discussion Papers 12180, C.E.P.R. Discussion Papers.
    • Handle: RePEc:cpr:ceprdp:12180
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    References listed on IDEAS

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    1. Zhang, Dayong & Dickinson, David & Barassi, Marco, 2006. "Structural breaks, cointegration and B share discount in Chinese stock market," MPRA Paper 70353, University Library of Munich, Germany.
    2. Andy C. W. Chui & Chuck C. Y. Kwok, 1998. "Cross-Autocorrelation Between A Shares And B Shares In The Chinese Stock Market," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 21(3), pages 333-353, September.
    3. Eric Ghysels & Alberto Plazzi & Rossen Valkanov, 2016. "Why Invest in Emerging Markets? The Role of Conditional Return Asymmetry," Journal of Finance, American Finance Association, vol. 71(5), pages 2145-2192, October.
    4. Wang, Steven Shuye & Jiang, Li, 2004. "Location of trade, ownership restrictions, and market illiquidity: Examining Chinese A- and H-shares," Journal of Banking & Finance, Elsevier, vol. 28(6), pages 1273-1297, June.
    5. Tobias Adrian & Markus K. Brunnermeier, 2016. "CoVaR," American Economic Review, American Economic Association, vol. 106(7), pages 1705-1741, July.
      • Tobias Adrian & Markus K. Brunnermeier, 2008. "CoVaR," Staff Reports 348, Federal Reserve Bank of New York.
      • Tobias Adrian & Markus K. Brunnermeier, 2011. "CoVaR," NBER Working Papers 17454, National Bureau of Economic Research, Inc.
    6. Robert F. Engle & Simone Manganelli, 2004. "CAViaR: Conditional Autoregressive Value at Risk by Regression Quantiles," Journal of Business & Economic Statistics, American Statistical Association, vol. 22, pages 367-381, October.
    7. Jushan Bai & Pierre Perron, 1998. "Estimating and Testing Linear Models with Multiple Structural Changes," Econometrica, Econometric Society, vol. 66(1), pages 47-78, January.
    8. Qu, Zhongjun, 2008. "Testing for structural change in regression quantiles," Journal of Econometrics, Elsevier, vol. 146(1), pages 170-184, September.
    9. Wei, Yu & Wang, Peng, 2008. "Forecasting volatility of SSEC in Chinese stock market using multifractal analysis," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 387(7), pages 1585-1592.
    10. Andrews, Donald W K, 1993. "Tests for Parameter Instability and Structural Change with Unknown Change Point," Econometrica, Econometric Society, vol. 61(4), pages 821-856, July.
    11. Hansen, Bruce E., 1992. "Testing for parameter instability in linear models," Journal of Policy Modeling, Elsevier, vol. 14(4), pages 517-533, August.
    12. Christoffersen, Peter F, 1998. "Evaluating Interval Forecasts," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 39(4), pages 841-862, November.
    13. Chui, Andy C W & Kwok, Chuck C Y, 1998. "Cross-Autocorrelation between A Shares and B Shares in the Chinese Stock Market," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 21(3), pages 333-353, Fall.
    14. Dongweí Su, 2003. "Risk, Return and Regulation in Chinese Stock Markets," World Scientific Book Chapters, in: Chinese Stock Markets A Research Handbook, chapter 3, pages 75-122, World Scientific Publishing Co. Pte. Ltd..
    15. White, Halbert & Kim, Tae-Hwan & Manganelli, Simone, 2015. "VAR for VaR: Measuring tail dependence using multivariate regression quantiles," Journal of Econometrics, Elsevier, vol. 187(1), pages 169-188.
    16. Li, Yuming & Yan, Daying & Greco, Joe, 2006. "Market segmentation and price differentials between A shares and H shares in the Chinese stock markets," Journal of Multinational Financial Management, Elsevier, vol. 16(3), pages 232-248, July.
    17. Wang, Yuenan & Di Iorio, Amalia, 2007. "The cross section of expected stock returns in the Chinese A-share market," Global Finance Journal, Elsevier, vol. 17(3), pages 335-349, March.
    18. Oka, Tatsushi & Qu, Zhongjun, 2011. "Estimating structural changes in regression quantiles," Journal of Econometrics, Elsevier, vol. 162(2), pages 248-267, June.
    19. Andrews, Donald W K & Ploberger, Werner, 1994. "Optimal Tests When a Nuisance Parameter Is Present Only under the Alternative," Econometrica, Econometric Society, vol. 62(6), pages 1383-1414, November.
    20. Bergstrom, Clas & Tang, Ellen, 2001. "Price differentials between different classes of stocks: an empirical study on Chinese stock markets," Journal of Multinational Financial Management, Elsevier, vol. 11(4-5), pages 407-426, December.
    21. Lin Huang & Dayong Zhang, 2015. "Hedging or Speculation: What Can We Learn from the Volume-Return Relationship?," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 51(6), pages 1117-1128, November.
    22. Ploberger, Werner & Kramer, Walter & Kontrus, Karl, 1989. "A new test for structural stability in the linear regression model," Journal of Econometrics, Elsevier, vol. 40(2), pages 307-318, February.
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