IDEAS home Printed from https://ideas.repec.org/a/eee/finana/v96y2024ipas1057521924005386.html
   My bibliography  Save this article

Do firms incur financial restatements? A recognition study based on textual features of key audit matters reports

Author

Listed:
  • Huang, Xin
  • Huang, Hao
  • Yuan, Liang

Abstract

This article uses China's A-share nonfinancial listed company reports from 2017 to 2019 as the research sample and analyzes three textual features of key audit matters using machine learning to identify financial restatement behaviors. Results show that firms with a worse level of key audit matter readability, a negative tone, and a greater level of detail had a higher probability of financial restatement behaviors. From this, investors can infer whether firms have strong internal or external monitoring. These correlations reflect the importance of standardized information disclosures and appropriate regulatory programs to safeguard investors' rights and interests.

Suggested Citation

  • Huang, Xin & Huang, Hao & Yuan, Liang, 2024. "Do firms incur financial restatements? A recognition study based on textual features of key audit matters reports," International Review of Financial Analysis, Elsevier, vol. 96(PA).
  • Handle: RePEc:eee:finana:v:96:y:2024:i:pa:s1057521924005386
    DOI: 10.1016/j.irfa.2024.103606
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1057521924005386
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.irfa.2024.103606?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:96:y:2024:i:pa:s1057521924005386. 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.