IDEAS home Printed from https://ideas.repec.org/a/eme/cfripp/cfri-01-2018-0010.html
   My bibliography  Save this article

Earnings management and institutional investor trading prior to earnings announcements

Author

Listed:
  • Shasha Liu

Abstract

Purpose - The purpose of this paper is to investigate if earnings management affects the trades of different investors prior to earnings announcements. Design/methodology/approach - Using a unique account-level trading data set from the Chinese stock market, the author investigates the different investor trading patterns prior to earnings announcements. Findings - The author obtains direct evidence to show that: first, institutional investors, particularly active ones, tend to sell (buy) stocks before negative (positive) earnings surprises; second, institutional investors buy stocks intensively with the lowest earnings management and the highest earnings surprises, and the trading patterns are primarily driven by active institutions. No significant trading pattern is observed on the stocks with negative earnings surprises; and third, the author uses a natural experiment in accordance with the Chinese accounting standards reform to address endogeneity, and the causality of the results still holds. Originality/value - The findings provide clear evidence by emphasizing the importance of earnings management in the formulation of investor decisions.

Suggested Citation

  • Shasha Liu, 2018. "Earnings management and institutional investor trading prior to earnings announcements," China Finance Review International, Emerald Group Publishing Limited, vol. 9(1), pages 22-50, May.
    • Handle: RePEc:eme:cfripp:cfri-01-2018-0010
    DOI: 10.1108/CFRI-01-2018-0010
    as

    Download full text from publisher

    File URL: https://www.emerald.com/insight/content/doi/10.1108/CFRI-01-2018-0010/full/html?utm_source=repec&utm_medium=feed&utm_campaign=repec
    Download Restriction: Access to full text is restricted to subscribers
    File URL: https://www.emerald.com/insight/content/doi/10.1108/CFRI-01-2018-0010/full/pdf?utm_source=repec&utm_medium=feed&utm_campaign=repec
    Download Restriction: Access to full text is restricted to subscribers
    File URL: https://libkey.io/10.1108/CFRI-01-2018-0010?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. Guo, Mengmeng & Wei, Mengxin & Huang, Lin, 2022. "Does air pollution influence investor trading behavior? Evidence from China," Emerging Markets Review, Elsevier, vol. 50(C).
    2. Wei Zhang & Xiong Xiong & Guanying Wang & Jing Li, 2022. "The accounting and trading information channels of excess control rights on IPO long-term return in China," Review of Quantitative Finance and Accounting, Springer, vol. 59(4), pages 1609-1646, November.
    3. Guo, Lin & Platikanov, Stefan, 2019. "Institutional ownership and corporate governance of public companies in China," Pacific-Basin Finance Journal, Elsevier, vol. 57(C).

    More about this item

    Keywords

    Earnings management; Earnings announcements; Institutional investor; Investor trading; G14; G23;
    All these keywords.

    JEL classification:

    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading
    • G23 - Financial Economics - - Financial Institutions and Services - - - Non-bank Financial Institutions; Financial Instruments; Institutional Investors

    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:eme:cfripp:cfri-01-2018-0010. 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: Emerald Support (email available below). General contact details of provider: .

    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.