IDEAS home Printed from https://ideas.repec.org/a/mes/emfitr/v59y2023i8p2331-2343.html
   My bibliography  Save this article

Management Earnings Forecasts Bias, Internal Control, and Stock Price Crash Risk: New Evidence from China

Author

Listed:
  • Yifei Gong
  • Yanchun Xia
  • Xuehua Xia
  • Yan Wang

Abstract

Using a sample of Chinese listed firms over 2012–2018, we find robust evidence that management earnings forecasts bias is positively associated with crash risk, and this effect mainly exists in optimistic bias. Furthermore, higher levels of internal control can reduce management earnings forecasts bias and then reduce crash risk. Specifically, among the five components of internal control, risk assessment and communication are the main channels. In addition, the effect of internal control in weakening management earnings forecasts bias on stock price crash risk is more pronounced in firms with mandatory disclosure, timely disclosure and bad news. Our research shows that internal control plays an important role in mitigating stock price crash risk caused by management earnings forecasts bias.

Suggested Citation

  • Yifei Gong & Yanchun Xia & Xuehua Xia & Yan Wang, 2023. "Management Earnings Forecasts Bias, Internal Control, and Stock Price Crash Risk: New Evidence from China," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 59(8), pages 2331-2343, June.
  • Handle: RePEc:mes:emfitr:v:59:y:2023:i:8:p:2331-2343
    DOI: 10.1080/1540496X.2021.1931113
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/1540496X.2021.1931113
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/1540496X.2021.1931113?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.

    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:emfitr:v:59:y:2023:i:8:p:2331-2343. 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/MREE20 .

    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.