IDEAS home Printed from https://ideas.repec.org/a/taf/acctbr/v51y2021i2p206-236.html
   My bibliography  Save this article

The role of institutional investors in post-earnings announcement drift: evidence from China

Author

Listed:
  • Guilong Cai
  • Bingxuan Lin
  • Minghai Wei
  • Xiaowei Xu

Abstract

We examine how institutional investors influence post-earnings announcement drift (PEAD) in China. Our findings suggest that institutional holdings are positively correlated with PEAD in China, especially when institutional investors herd strongly on earnings news. This positive relationship is more salient for institutional investors with shorter investment horizons and in firms with higher information opacity. We also find that stock prices reverse in the fourth quarter after the earnings announcement. In contrast to the well-established view that institutional investors exploit PEAD and accelerate the speed of information incorporation, our findings suggest that they may instead exacerbate PEAD and slow down price discovery in emerging markets with different institutional backgrounds.

Suggested Citation

  • Guilong Cai & Bingxuan Lin & Minghai Wei & Xiaowei Xu, 2021. "The role of institutional investors in post-earnings announcement drift: evidence from China," Accounting and Business Research, Taylor & Francis Journals, vol. 51(2), pages 206-236, February.
  • Handle: RePEc:taf:acctbr:v:51:y:2021:i:2:p:206-236
    DOI: 10.1080/00014788.2020.1773755
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/00014788.2020.1773755
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/00014788.2020.1773755?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. Shu, Yaruo & Sohn, Sungbin, 2022. "Idiosyncratic return variation: Firm-specific information or noise?," Finance Research Letters, Elsevier, vol. 47(PA).
    2. Ho, Tuan Q. & Nguyen, Y. & Tran, Hieu, 2024. "The impact of insider ownership and institutional ownership on post-earnings-announcement-drift: Evidence from Vietnam," Research in International Business and Finance, Elsevier, vol. 70(PB).

    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:taf:acctbr:v:51:y:2021:i:2:p:206-236. 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/RABR20 .

    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.