IDEAS home Printed from https://ideas.repec.org/a/eee/finana/v95y2024ipbs1057521924004150.html
   My bibliography  Save this article

News or noise? ESG disclosure and stock price synchronicity

Author

Listed:
  • Ruan, Lei
  • Li, Jianing
  • Huang, Siqi

Abstract

Environmental, social, and governance (ESG), as an important mechanism to promote the sustainable development of the capital market, is bound to have a significant impact on its stock price synchronicity. This paper examines the impact and mechanism of corporate ESG disclosure on stock price synchronicity using data from Chinese A-share listed companies from 2013 to 2022. It analyzes the dual perspectives of information efficiency and noise trading. The findings support the noise trading perspective, as ESG disclosure significantly reduces the impact of noise on stock prices and enhances firms' stock price synchronicity, and the conclusions still hold after a series of endogeneity and robustness tests. It is also found that the positive impact of ESG disclosure on stock price synchronicity is mainly realized through the paths of reducing accrual earnings management and increasing analyst attention. Moreover, the positive impact of ESG disclosure on stock price synchronicity is more significant in the group of non-state-owned enterprises, higher quality of internal control, non-polluting industries, and less market-oriented enterprises. The study in this paper not only enriches the related literature in the field of ESG disclosure and stock price synchronicity but also reaffirms the noise trading theory of the irrational school.

Suggested Citation

  • Ruan, Lei & Li, Jianing & Huang, Siqi, 2024. "News or noise? ESG disclosure and stock price synchronicity," International Review of Financial Analysis, Elsevier, vol. 95(PB).
  • Handle: RePEc:eee:finana:v:95:y:2024:i:pb:s1057521924004150
    DOI: 10.1016/j.irfa.2024.103483
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1057521924004150
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.irfa.2024.103483?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.

    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:eee:finana:v:95:y:2024:i:pb:s1057521924004150. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/inca/620166 .

    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.