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The asymmetric behaviour of stock returns and volatilities: evidence from Chinese stock market

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  • Bing Zhang
  • Xindan Li

Abstract

This article investigates the partial adjustment process with asymmetries on Chinese stock index returns and volatilities. Rolling sample windows method is proper to capture evolving asymmetric behaviours of Chinese emerging stock market. The empirical evidence shows that index returns do have asymmetric adjustment behaviours in most of periods and the market tends to overreact to information contained in negative returns. No asymmetry volatility effect was present at the initial stages of the stock market. Along with the development of the market, the leverage effect are present.

Suggested Citation

  • Bing Zhang & Xindan Li, 2008. "The asymmetric behaviour of stock returns and volatilities: evidence from Chinese stock market," Applied Economics Letters, Taylor & Francis Journals, vol. 15(12), pages 959-962.
    • Handle: RePEc:taf:apeclt:v:15:y:2008:i:12:p:959-962
    DOI: 10.1080/13504850600970042
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    Cited by:

    1. Umar, Muhammad & Mirza, Nawazish & Rizvi, Syed Kumail Abbas & Furqan, Mehreen, 2023. "Asymmetric volatility structure of equity returns: Evidence from an emerging market," The Quarterly Review of Economics and Finance, Elsevier, vol. 87(C), pages 330-336.
    2. Chi-Wei Su & Hui Yu & Hsu-Ling Chang & Xiao-Lin Li, 2017. "How does inflation determine inflation uncertainty? A Chinese perspective," Quality & Quantity: International Journal of Methodology, Springer, vol. 51(3), pages 1417-1434, May.
    3. Borjigin, Sumuya & Gao, Ting & Sun, Yafei & An, Biao, 2020. "For evil news rides fast, while good news baits later?—A network based analysis in Chinese stock market," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 551(C).
    4. Mukta Kanvinde & Muneer Shaik, 2020. "Are BRICS Stock Market Indices Mean Reverting? Evidence Based on Expected Lifetime Range Ratio," International Journal of Business and Economics, School of Management Development, Feng Chia University, Taichung, Taiwan, vol. 19(2), pages 169-186, September.
    5. Long, Ling & Tsui, Albert K. & Zhang, Zhaoyong, 2014. "Conditional heteroscedasticity with leverage effect in stock returns: Evidence from the Chinese stock market," Economic Modelling, Elsevier, vol. 37(C), pages 89-102.
    6. Allen, David E. & Amram, Ron & McAleer, Michael, 2013. "Volatility spillovers from the Chinese stock market to economic neighbours," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 94(C), pages 238-257.
    7. David E Allen & Michael McAleer & Robert J Powell & Abhay Kumar Singh, 2012. "Volatility spillovers from the US to Australia and China across the GFC," KIER Working Papers 838, Kyoto University, Institute of Economic Research.
    8. Li, Johnny Siu-Hang & Ng, Andrew C.Y. & Chan, Wai-Sum, 2015. "Managing financial risk in Chinese stock markets: Option pricing and modeling under a multivariate threshold autoregression," International Review of Economics & Finance, Elsevier, vol. 40(C), pages 217-230.
    9. Hou, Ai Jun, 2013. "Asymmetry effects of shocks in Chinese stock markets volatility: A generalized additive nonparametric approach," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 23(C), pages 12-32.
    10. Ran TAO & Zheng-Zheng LI & Xiao-Lin LI & Chi-Wei SU, 2018. "A Reexamination of Friedman-Ball’s Hypothesis in Slovakia - Evidence from Wavelet Analysis," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(4), pages 41-54, December.
    11. Michael Day & Mark Diamond & Jeff Card & Jake Hurd & Jianping Xu, 2017. "GARCH model and fat tails of the Chinese stock market returns - New evidences," Journal of Risk & Control, Risk Market Journals, vol. 4(1), pages 43-49.
    12. Newaz, Mohammad Khaleq & Park, Jin Suk, 2019. "The impact of trade intensity and Market characteristics on asymmetric volatility, spillovers and asymmetric spillovers: Evidence from the response of international stock markets to US shocks," The Quarterly Review of Economics and Finance, Elsevier, vol. 71(C), pages 79-94.

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