IDEAS home Printed from https://ideas.repec.org/a/taf/apeclt/v30y2023i8p1112-1123.html
   My bibliography  Save this article

Foremost features affecting financial distress and Bankruptcy in the acute stage of COVID-19 crisis

Author

Listed:
  • İbrahim Bozkurt
  • Muhammed Veysel Kaya

Abstract

This paper investigates the foremost firm-specific factors having an impact on financial distress and bankruptcy in the acute stage of the Covid-19 crisis based on data from approximately 9,000 enterprises in 25 countries. Empirical results of a random forest algorithm with SHAP values show increased odds of both bankruptcy and financial distress for firms that have problems in accessing finance, younger firms and more indebted firms. In addition, the size of the firm and the years of experience of its managers also have an impact on financial failure. However, country features are more important than firm features in predicting bankruptcy and financial distress in the Covid-19 crisis.

Suggested Citation

  • İbrahim Bozkurt & Muhammed Veysel Kaya, 2023. "Foremost features affecting financial distress and Bankruptcy in the acute stage of COVID-19 crisis," Applied Economics Letters, Taylor & Francis Journals, vol. 30(8), pages 1112-1123, May.
    • Handle: RePEc:taf:apeclt:v:30:y:2023:i:8:p:1112-1123
    DOI: 10.1080/13504851.2022.2036681
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/13504851.2022.2036681
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1080/13504851.2022.2036681?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.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Gajdosikova Dominika & Valaskova Katarina, 2023. "Bankruptcy Prediction Model Development and its Implications on Financial Performance in Slovakia," Economics and Culture, Sciendo, vol. 20(1), pages 30-42, June.

    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:taf:apeclt:v:30:y:2023:i:8:p:1112-1123. 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/RAEL20 .

    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.