IDEAS home Printed from https://ideas.repec.org/a/mes/emfitr/v61y2025i11p3332-3358.html
   My bibliography  Save this article

ESG Rating Agency Coverage and Analysts’ Earnings Forecasts: Evidence from China

Author

Listed:
  • Mian Cheng
  • Li Ji
  • Albert Tsang
  • Zijian Xu

Abstract

Utilizing data from six major environmental, social, and governance (ESG) rating agencies in China, we find that a greater level of coverage by ESG rating agencies is associated with smaller forecast errors and lower dispersion in analyst earnings forecasts for the covered firms. However, a higher level of ESG rating dispersion among agencies weakens this relationship. Cross-sectional analysis reveals that the impact of ESG rating coverage on analyst forecasts is more significant for firms with high levels of information asymmetry and a high proportion of sustainability analysts among tracking analysts. Overall, our findings suggest that comprehensive ESG information provided by multiple rating agencies can significantly influence financial analysts’ ability to predict firms’ future financial performance.

Suggested Citation

  • Mian Cheng & Li Ji & Albert Tsang & Zijian Xu, 2025. "ESG Rating Agency Coverage and Analysts’ Earnings Forecasts: Evidence from China," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 61(11), pages 3332-3358, September.
  • Handle: RePEc:mes:emfitr:v:61:y:2025:i:11:p:3332-3358
    DOI: 10.1080/1540496X.2025.2479637
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/1540496X.2025.2479637
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/1540496X.2025.2479637?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

    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:61:y:2025:i:11:p:3332-3358. 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.