IDEAS home Printed from https://ideas.repec.org/a/ijc/ijcjou/y2017q4a4.html
   My bibliography  Save this article

Cyclicality and Firm Size in Private Firm Defaults

Author

Listed:
  • Thais Lærkholm Jensen

    (University of Copenhagen and Danmarks Nationalbank)

  • David Lando

    (Copenhagen Business School)

  • Mamdouh Medhat

    (Cass Business School – City, University of London)

Abstract

The Basel II/III and CRD IV Accords reduce capital charges on bank loans to smaller firms by assuming that the default probabilities of smaller firms are less sensitive to macroeconomic cycles. We test this assumption in a default intensity framework using a large sample of bank loans to private Danish firms. We find that controlling only for size, the default probabilities of small firms are, in fact, less cyclical than the default probabilities of large firms. However, accounting for firm characteristics other than size, we find that the default probabilities of small firms are equally cyclical or even more cyclical than the default probabilities of large firms. These results hold using a multiplicative Cox model as well as an additive Aalen model with time-varying coefficients.

Suggested Citation

  • Thais Lærkholm Jensen & David Lando & Mamdouh Medhat, 2017. "Cyclicality and Firm Size in Private Firm Defaults," International Journal of Central Banking, International Journal of Central Banking, vol. 13(4), pages 97-145, December.
  • Handle: RePEc:ijc:ijcjou:y:2017:q:4:a:4
    as

    Download full text from publisher

    File URL: http://www.ijcb.org/journal/ijcb17q4a4.pdf
    Download Restriction: no

    File URL: http://www.ijcb.org/journal/ijcb17q4a4.htm
    Download Restriction: no
    ---><---

    Citations

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


    Cited by:

    1. Frank Ranganai Matenda & Mabutho Sibanda & Eriyoti Chikodza & Victor Gumbo, 2022. "Bankruptcy prediction for private firms in developing economies: a scoping review and guidance for future research," Management Review Quarterly, Springer, vol. 72(4), pages 927-966, December.
    2. Aysha Sami Latif & Attaullah Shah, 2021. "The Impact of Quality of Accounting Information on Cost of Capital: Insight from an Emerging Economy," Asian Economic and Financial Review, Asian Economic and Social Society, vol. 11(4), pages 292-307, April.
    3. Frank Ranganai Matenda & Mabutho Sibanda, 2022. "Determinants of Default Probability for Audited and Unaudited SMEs under Stressed Conditions in Zimbabwe," Economies, MDPI, vol. 10(11), pages 1-28, November.

    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:ijc:ijcjou:y:2017:q:4:a:4. 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: Bank for International Settlements (email available below). General contact details of provider: https://www.ijcb.org/ .

    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.