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The Effectiveness of Price Limits and Stock Characteristics: Evidence from the Shanghai and Shenzhen Stock Exchanges

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  • Gong-meng Chen
  • Oliver Rui
  • Steven Wang

Abstract

We examine the effectiveness of price limits on Chinese A shares and investigate the characteristics of those stocks that hit their price limits more frequently. We find that the effect of price limits is asymmetric for the A shares in upward and downward price movements and different for bullish and bearish sample periods. During a bullish period price limits effectively reduce stock volatility for downward price movements, but not for upward price movements; while during a bearish period price limits effectively reduce stock volatility for upward price movements, but not for downward price movements. Second, price limits delay efficient price discovery for upward price movements, but not for downward price movements. However, we do not find evidence to suggest that price limits harmfully interfere with the stock trading processes in the Chinese A share markets. Finally, we find that actively traded stocks hit their price limits more often and tend to hit the lower limit more frequently when overall market conditions are bearish. Stocks with high book-to-market values of equity hit their upper price limits more frequently, while stocks with a high ratio of tradable shares tend to hit their price limits less frequently. Copyright Springer Science + Business Media, Inc. 2005

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  • Gong-meng Chen & Oliver Rui & Steven Wang, 2005. "The Effectiveness of Price Limits and Stock Characteristics: Evidence from the Shanghai and Shenzhen Stock Exchanges," Review of Quantitative Finance and Accounting, Springer, vol. 25(2), pages 159-182, September.
    • Handle: RePEc:kap:rqfnac:v:25:y:2005:i:2:p:159-182
    DOI: 10.1007/s11156-005-4247-7
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    2. Mohammad Benny Alexandri & Supriyanto, 2021. "The Influence of Oil Price Volatility and Price Limit in Indonesia Energy Sub-Sector for the Period Before and After Covid-19," International Journal of Energy Economics and Policy, Econjournals, vol. 11(5), pages 538-544.
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    4. Wong, Kin Ming & Kong, Xiao Wei & Li, Min, 2020. "The magnet effect of circuit breakers and its interactions with price limits," Pacific-Basin Finance Journal, Elsevier, vol. 61(C).
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    6. Li, Huimin & Zheng, Dazhi & Chen, Jun, 2014. "Effectiveness, cause and impact of price limit—Evidence from China's cross-listed stocks," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 29(C), pages 217-241.
    7. Chen-Yu Chen & Jian-Hsin Chou & Hung-Gay Fung & Yiuman Tse, 2017. "Setting the futures margin with price limits: the case for single-stock futures," Review of Quantitative Finance and Accounting, Springer, vol. 48(1), pages 219-237, January.
    8. Wang, Dingyan & Chong, Terence Tai-Leung & Chan, Wing Hong, 2014. "Price Limits and Stock Market Volatility in China," MPRA Paper 54146, University Library of Munich, Germany.
    9. Mohammad Benny Alexandri & Supriyanto, 2022. "Volatility Spillover between Stock Returns and Oil Prices during the Covid-19 Pandemic in ASEAN," International Journal of Energy Economics and Policy, Econjournals, vol. 12(1), pages 126-133.
    10. Chong, Terence Tai Leung & Kwok, Stanley, 2019. "The Impact of Shanghai-Hong Kong Stock Connect on the Effectiveness of Price Limits in the Chinese Stock Market," MPRA Paper 92185, University Library of Munich, Germany.
    11. Dumitriu, Ramona & Stefanescu, Razvan & Nistor, Costel, 2011. "Changes in the dynamic relation between the prices and the trading volume from the Bucharest stock exchange," MPRA Paper 41602, University Library of Munich, Germany, revised 20 Mar 2011.
    12. Wang, Steven Shuye & Xu, Kuan & Zhang, Hao, 2019. "A microstructure study of circuit breakers in the Chinese stock markets," Pacific-Basin Finance Journal, Elsevier, vol. 57(C).
    13. Darren Duxbury & Robert Hudson & Kevin Keasey & Zhishu Yang & Songyao Yao, 2013. "How prior realized outcomes affect portfolio decisions," Review of Quantitative Finance and Accounting, Springer, vol. 41(4), pages 611-629, November.
    14. Shenoy, Catherine & Zhang, Ying Jenny, 2007. "Order imbalance and stock returns: Evidence from China," The Quarterly Review of Economics and Finance, Elsevier, vol. 47(5), pages 637-650, December.
    15. Rima Turk Ariss & Rasoul Rezvanian & Seyed M. Mehdian, 2012. "WTO membership, ownership deregulation, and market efficiency: evidence from China," Applied Financial Economics, Taylor & Francis Journals, vol. 22(3), pages 177-195, February.
    16. Mai Ahmed Abdelzaher & Khairy Elgiziry, 2017. "The Effect of Daily Stock Price Limits on the Investment Risk: Evidence from the Egyptian Stock Market," Accounting and Finance Research, Sciedu Press, vol. 6(4), pages 1-1, Novebmer.
    17. Ramiah, Vikash & Xu, Xiaoming & Moosa, Imad A., 2015. "Neoclassical finance, behavioral finance and noise traders: A review and assessment of the literature," International Review of Financial Analysis, Elsevier, vol. 41(C), pages 89-100.
    18. Tang, Siyuan, 2023. "Price limit performance: New evidence from a quasi-natural experiment in China's ChiNext market," International Review of Financial Analysis, Elsevier, vol. 89(C).
    19. Xiaotao Zhang & Jing Ping & Tao Zhu & Yuelei Li & Xiong Xiong, 2016. "Are Price Limits Effective? An Examination of an Artificial Stock Market," PLOS ONE, Public Library of Science, vol. 11(8), pages 1-21, August.
    20. Jin Guo, 2015. "Causal relationship between stock returns and real economic growth in the pre- and post-crisis period: evidence from China," Applied Economics, Taylor & Francis Journals, vol. 47(1), pages 12-31, January.
    21. Farag, Hisham, 2014. "The effectiveness of competing regulatory regimes and the switching effects: Evidence from an emerging market," Global Finance Journal, Elsevier, vol. 25(2), pages 136-147.

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