IDEAS home Printed from https://ideas.repec.org/a/eme/mrrpps/mrr-01-2025-0080.html

ESG performance, analysts’ forecast accuracy and board gender diversity: international evidence

Author

Listed:
  • Islem Turki
  • Anis Ben Amar

Abstract

PurposeThe purpose of this study is to investigate whether environmental, social, and governance (ESG) ratings are associated with analysts’ forecast accuracy and whether board gender diversity moderates the relationship between ESG ratings and analysts’ forecast accuracy.Design/methodology/approachThe sample comprises 23,498 firm-year observations across 36 countries over the period 2011–2022, with data obtained from I/B/E/S, Thomson Reuters and Refinitiv. Generalized Least Squares with panel-specific heteroskedasticity is used as the baseline estimator, with model choice supported by a Wald test. Robustness checks include fixed-effects models with clustered standard errors, propensity score matching and a Heckman selection correction.FindingsESG ratings are associated with lower analyst forecast errors when board gender diversity remains below approximately 18.5% (or 20.7% for executive-level diversity). Beyond these levels, the relationship reverses, with higher diversity associated with reduced ESG informativeness. The interaction term (+0.0097***) reflects this pattern: ESG is associated with improved accuracy on less diverse boards, has limited net effect near the threshold and is associated with reduced accuracy on more diverse boards. This non-linearity is not captured under a standard linear specification and becomes apparent only through marginal effects analysis.Practical implicationsFor firms, the findings suggest that board diversification efforts may be more effective when undertaken prior to large-scale ESG commitments. Analysts may benefit from considering board composition when interpreting ESG ratings. Regulators may wish to consider coordinating diversity-related requirements with ESG disclosure mandates rather than addressing them independently.Originality/valueThis study contributes evidence of a threshold-based relationship between board diversity and ESG informativeness using cross-country data spanning 36 countries. The identified threshold of approximately 18.5% may serve as a reference point for discussions on sustainability governance standards across different national contexts.

Suggested Citation

  • Islem Turki & Anis Ben Amar, 2026. "ESG performance, analysts’ forecast accuracy and board gender diversity: international evidence," Management Research Review, Emerald Group Publishing Limited, vol. 49(11), pages 1401-1425, October.
  • Handle: RePEc:eme:mrrpps:mrr-01-2025-0080
    DOI: 10.1108/MRR-01-2025-0080
    as

    Download full text from publisher

    File URL: https://www.emerald.com/mrr/article/49/11/1401/1400885/ESG-performance-analysts-forecast-accuracy-and
    Download Restriction: no

    File URL: https://www.emerald.com/mrr/article-pdf/49/11/1401/11896815/mrr-01-2025-0080en.pdf
    Download Restriction: no

    File URL: https://libkey.io/10.1108/MRR-01-2025-0080?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
    ---><---

    More about this item

    Keywords

    ;
    ;
    ;

    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:mrrpps:mrr-01-2025-0080. 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.