IDEAS home Printed from https://ideas.repec.org/a/mes/chinec/v53y2020i3p246-264.html
   My bibliography  Save this article

Institutional Industry Herding in China

Author

Listed:
  • Lei Zhu
  • Huimin Li
  • Dazhi Zheng

Abstract

This paper examines the effect of institutional herding on future stock returns in China A-share market at both the market and industry level from 2003 to 2012. Using a unique institutional holding database, we test the herding effect at different time horizons. The results suggest that institutional herding has a significantly positive effect on future excess returns for A shares in the short, medium and long periods of time. In China A-share market, institutional herding is more significant on buy side than sell side due to short sell restrictions. At the industry level, manufacturing and construction sectors experience institutional herding effect at all time horizon. Financial industry is found to present significant institutional herding effect only in the long term. The institutional herding has a positive and significant impact on the medium-term and long-term excess stock returns in the rest of ten sectors.

Suggested Citation

  • Lei Zhu & Huimin Li & Dazhi Zheng, 2020. "Institutional Industry Herding in China," Chinese Economy, Taylor & Francis Journals, vol. 53(3), pages 246-264, May.
  • Handle: RePEc:mes:chinec:v:53:y:2020:i:3:p:246-264
    DOI: 10.1080/10971475.2020.1720963
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/10971475.2020.1720963
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/10971475.2020.1720963?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Cui, Yueting & Gavriilidis, Konstantinos & Gebka, Bartosz & Kallinterakis, Vasileios, 2024. "Numerological superstitions and market-wide herding: Evidence from China," International Review of Financial Analysis, Elsevier, vol. 93(C).
    2. Łukasz Dopierała & Magdalena Mosionek-Schweda, 2020. "Pension Fund Management, Investment Performance, and Herding in the Context of Regulatory Changes: New Evidence from the Polish Pension System," Risks, MDPI, vol. 9(1), pages 1-19, December.
    3. Lulin Zhou & Maxwell O. Antwi & Henry A. Antwi & Ama Boafo‐Arthur & Tehzeeb Mustafa, 2020. "Endangering China's environmental health security goals through negative environmental investor behaviours," International Journal of Health Planning and Management, Wiley Blackwell, vol. 35(6), pages 1398-1411, November.
    4. Hang Zhang & Evangelos Giouvris, 2022. "Measures of Volatility, Crises, Sentiment and the Role of U.S. ‘Fear’ Index (VIX) on Herding in BRICS (2007–2021)," JRFM, MDPI, vol. 15(3), pages 1-42, March.
    5. 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.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:mes:chinec:v:53:y:2020:i:3:p:246-264. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/MCES20 .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.