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Time-Varying Herding Behavior, Global Financial Crisis, and the Chinese Stock Market

Author

Listed:
  • Susan Sunila Sharma

    (Centre for Economics and Financial Econometrics Research, Deakin University, Australia)

  • Paresh Narayan

    (Centre for Economics and Financial Econometrics Research, Deakin University, Australia)

  • Kannan Thuraisamy

    (Centre for Economics and Financial Econometrics Research, Deakin University, Australia)

Abstract

In this paper, we examine the evidence of herding behavior on the Chinese stock market. Our main findings are as follows. First, we find strong evidence of herding behavior on both the Shanghai and Shenzhen stock exchanges. Second, we document evidence of asymmetric herding behavior with greater magnitude of herding behavior on up markets than on down markets. Third, our findings suggest that herding behavior is sector-specific and predominant in the industrial and properties sectors. Finally, we unravel strong evidence suggesting that herding behavior is time-varying and in some sectors time-varying herding behavior is more prevalent than in other sectors.

Suggested Citation

  • Susan Sunila Sharma & Paresh Narayan & Kannan Thuraisamy, 2015. "Time-Varying Herding Behavior, Global Financial Crisis, and the Chinese Stock Market," Review of Pacific Basin Financial Markets and Policies (RPBFMP), World Scientific Publishing Co. Pte. Ltd., vol. 18(02), pages 1-31.
    • Handle: RePEc:wsi:rpbfmp:v:18:y:2015:i:02:n:s0219091515500095
    DOI: 10.1142/S0219091515500095
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    References listed on IDEAS

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    1. Gregory R. Duffee, 2001. "Asymmetric cross-sectional dispersion in stock returns: evidence and implications," Working Paper Series 2000-18, Federal Reserve Bank of San Francisco.
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    Cited by:

    1. Esin Cakan & Riza Demirer & Rangan Gupta & Josine Uwilingiye, 2019. "Economic Policy Uncertainty and Herding Behavior Evidence from the South African Housing Market," Advances in Decision Sciences, Asia University, Taiwan, vol. 23(1), pages 88-113, March.
    2. Nicholas Apergis & Chritina Christou & Tasawar Hayat & Tareq Saeed, 2020. "U.S. Monetary Policy and Herding: Evidence from Commodity Markets," Atlantic Economic Journal, Springer;International Atlantic Economic Society, vol. 48(3), pages 355-374, September.
    3. Dina Gabbori & Basel Awartani & Aktham Maghyereh & Nader Virk, 2021. "OPEC meetings, oil market volatility and herding behaviour in the Saudi Arabia stock market," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(1), pages 870-888, January.
    4. Puput Tri Komalasari & Marwan Asri & Bernardinus M. Purwanto & Bowo Setiyono, 2022. "Herding behaviour in the capital market: What do we know and what is next?," Management Review Quarterly, Springer, vol. 72(3), pages 745-787, September.
    5. Wang, Xinru & Kim, Maria H. & Suardi, Sandy, 2022. "Herding and China's market-wide circuit breaker," Journal of Banking & Finance, Elsevier, vol. 141(C).
    6. Ersan, Oguz & Simsir, Serif Aziz & Simsek, Koray D. & Hasan, Afan, 2021. "The speed of stock price adjustment to corporate announcements: Insights from Turkey," Emerging Markets Review, Elsevier, vol. 47(C).
    7. Chih-Hsiang Chang & Shan-Shan Chen & Song-Lin Hsieh, 2017. "Asymmetric Reinforcement Learning and Conditioned Responses During the 2007–2009 Global Financial Crisis: Evidence from Taiwan," Review of Pacific Basin Financial Markets and Policies (RPBFMP), World Scientific Publishing Co. Pte. Ltd., vol. 20(02), pages 1-44, June.
    8. Wenjie Ding & Khelifa Mazouz & Qingwei Wang, 2019. "Investor sentiment and the cross-section of stock returns: new theory and evidence," Review of Quantitative Finance and Accounting, Springer, vol. 53(2), pages 493-525, August.
    9. Zaremba, Adam & Szyszka, Adam & Karathanasopoulos, Andreas & Mikutowski, Mateusz, 2021. "Herding for profits: Market breadth and the cross-section of global equity returns," Economic Modelling, Elsevier, vol. 97(C), pages 348-364.
    10. Hu, May & Tuilautala, Mataiasi & Yang, Jingjing & Zhong, Qian, 2022. "Asymmetric information and inside management trading in the Chinese market," The North American Journal of Economics and Finance, Elsevier, vol. 62(C).
    11. Changqing, Luo & Chi, Xie & Cong, Yu & Yan, Xu, 2015. "Measuring financial market risk contagion using dynamic MRS-Copula models: The case of Chinese and other international stock markets," Economic Modelling, Elsevier, vol. 51(C), pages 657-671.
    12. Vo Xuan Vinh & Phan Dang Bao Anh, 2016. "Herd Behavior in Emerging Equity Markets: Evidence from Vietnam," Asian Journal of Law and Economics, De Gruyter, vol. 7(3), pages 369-383, December.
    13. R. Eki Rahman & Ermawati, 2020. "An Analysis Of Herding Behavior In The Stock Market: A Case Study Of The Asean-5 And The United States," Bulletin of Monetary Economics and Banking, Bank Indonesia, vol. 23(3), pages 297-318.
    14. Li Xian Liu & Fuming Jiang & Jizhong Li & Omar Al Farooque, 2021. "Antecedents of Equity Fund Performance: A Contingency Perspective," Review of Pacific Basin Financial Markets and Policies (RPBFMP), World Scientific Publishing Co. Pte. Ltd., vol. 24(01), pages 1-40, March.

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    More about this item

    Keywords

    Herding behavior; sectors; markets; time-varying;
    All these keywords.

    JEL classification:

    • G1 - Financial Economics - - General Financial Markets
    • G2 - Financial Economics - - Financial Institutions and Services
    • G3 - Financial Economics - - Corporate Finance and Governance

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