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Stock Return Seasonalities and Investor Structure: Evidence from China’s B-Share Markets

Author

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  • Martin T. Bohl
  • Michael Schuppli
  • Pierre L. Siklos

Abstract

This paper investigates whether seasonalities in daily stock returns are related to the trading behavior of individual and institutional investors. The change in the investor structure of B-share markets in Shanghai and Shenzhen after the abolition of ownership restrictions in 2001 provides a unique testing environ- ment. We show that day-of-the-week e ects are attenuated after the market entrance of Chinese individual investors who had previously not been allowed to trade in B-shares. Our empirical results suggest that institutional rather than individual investors are a main driving force behind such anomalies. In addi- tion, we nd evidence of reduced index return autocorrelation and US spillover e ects in the post-liberalization period.

Suggested Citation

  • Martin T. Bohl & Michael Schuppli & Pierre L. Siklos, 2009. "Stock Return Seasonalities and Investor Structure: Evidence from China’s B-Share Markets," CQE Working Papers 0709, Center for Quantitative Economics (CQE), University of Muenster.
    • Handle: RePEc:cqe:wpaper:0709
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    Cited by:

    1. Xu, Wenming, 2016. "Reforming private securities litigation in China: The stock market has already cast its vote," International Review of Law and Economics, Elsevier, vol. 45(C), pages 23-32.
    2. Paul McGuinness & Richard Harris, 2011. "Comparison of the 'turn-of-the-month' and lunar new year return effects in three Chinese markets: Hong Kong, Shanghai and Shenzhen," Applied Financial Economics, Taylor & Francis Journals, vol. 21(13), pages 917-929.
    3. Ali, Fahad & Ülkü, Numan, 2020. "Weekday seasonality of stock returns: The contrary case of China," Journal of Asian Economics, Elsevier, vol. 68(C).
    4. He, Hongbo & Chen, Shou & Yao, Shujie & Ou, Jinghua, 2014. "Financial liberalisation and international market interdependence: Evidence from China’s stock market in the post-WTO accession period," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 33(C), pages 434-444.
    5. repec:ipg:wpaper:2014-089 is not listed on IDEAS
    6. Christos Floros & Yong Tan, 2013. "Moon Phases, Mood and Stock Market Returns," Journal of Emerging Market Finance, Institute for Financial Management and Research, vol. 12(1), pages 107-127, April.
    7. Luo, Kevin & Tian, Shuairu, 2020. "The “Black Thursday” effect in Chinese stock market," Journal of Behavioral and Experimental Finance, Elsevier, vol. 27(C).
    8. Ülkü, Numan & Rogers, Madeline, 2018. "Who drives the Monday effect?," Journal of Economic Behavior & Organization, Elsevier, vol. 148(C), pages 46-65.
    9. Ruwei Zhao & Xiong Xiong & Dehua Shen & Wei Zhang, 2019. "Investor Structure and Stock Price Crash Risk in a Continuous Double Auction Market: An Agent-Based Perspective," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 18(02), pages 695-715, March.
    10. Peng, Zhe & Xiong, Kainan & Yang, Yahui, 2024. "Microstructure of the Chinese stock market: A historical review," Pacific-Basin Finance Journal, Elsevier, vol. 88(C).
    11. Frédéric Teulon & Khaled Guesmi & Salma Fattoum, 2014. "Is there a difference between domestic and foreign risk premium? The case of China Stock Market," Working Papers 2014-89, Department of Research, Ipag Business School.

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    Keywords

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    JEL classification:

    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading
    • G18 - Financial Economics - - General Financial Markets - - - Government Policy and Regulation

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