IDEAS home Printed from https://ideas.repec.org/p/fmg/fmgdps/dp614.html
   My bibliography  Save this paper

Forecasting Bankruptcy and Physical Default Intensity

Author

Listed:
  • Ping Zhou

Abstract

This report presents two of our investigations: one is to obtain an accurate forecast for the corporate bankruptcy; the other is to obtain a physical default intensity. Both investigations were based on the hazard model, using only firm-specific accounting variables as predictors. Different methods, such as the list-wise deleting, closest- value imputation and multiple imputation, were applied to tackling the problem of missing values. Our empirical studies showed that the multiple imputation performed the best amongst these methods and led to a forecasting model with economically reasonable predictors and corresponding estimates.

Suggested Citation

  • Ping Zhou, 2008. "Forecasting Bankruptcy and Physical Default Intensity," FMG Discussion Papers dp614, Financial Markets Group.
  • Handle: RePEc:fmg:fmgdps:dp614
    as

    Download full text from publisher

    File URL: http://www.lse.ac.uk/fmg/workingPapers/discussionPapers/fmgdps/dp614.pdf
    Download Restriction: no
    ---><---

    Citations

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


    Cited by:

    1. Maghyereh, Aktham I. & Awartani, Basel, 2014. "Bank distress prediction: Empirical evidence from the Gulf Cooperation Council countries," Research in International Business and Finance, Elsevier, vol. 30(C), pages 126-147.

    More about this item

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:fmg:fmgdps:dp614. 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: The FMG Administration (email available below). General contact details of provider: http://www.lse.ac.uk/fmg/ .

    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.