IDEAS home Printed from https://ideas.repec.org/a/bas/econst/y2016i3p118-136.html
   My bibliography  Save this article

Issues and Challenges for Bankruptcy Risk Assessment in Bulgarian Companies

Author

Listed:
  • Atanas Delev

Abstract

The main purpose of this paper is to analyze the key issues and challenges in assessing the risk of bankruptcy in Bulgarian companies. The results of seven bankruptcy prediction models are analyzed. Significant differences were found between the forecasts that give certain models. The error of the second type of bankruptcy prediction models was analyzed. Certain models have satisfactory error values of the second type, while others have too high values of this error. There is a need of a bankruptcy prediction model that offers adequate performance.

Suggested Citation

  • Atanas Delev, 2016. "Issues and Challenges for Bankruptcy Risk Assessment in Bulgarian Companies," Economic Studies journal, Bulgarian Academy of Sciences - Economic Research Institute, issue 3, pages 118-136.
  • Handle: RePEc:bas:econst:y:2016:i:3:p:118-136
    as

    Download full text from publisher

    File URL: https://www.ceeol.com/search/article-detail?id=356006
    Download Restriction: Fee access

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Vidar Gudmundsson, Sveinn, 1999. "Airline failure and distress prediction: a comparison of quantitative and qualitative models," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 35(3), pages 155-182, September.
    2. repec:bla:joares:v:18:y:1980:i:1:p:109-131 is not listed on IDEAS
    3. repec:bla:joares:v:22:y:1984:i::p:59-82 is not listed on IDEAS
    4. Laitinen, Erkki K., 1992. "Prediction of failure of a newly founded firm," Journal of Business Venturing, Elsevier, vol. 7(4), pages 323-340, July.
    5. Abbas, Qaiser & Rashid, Abdul, 2011. "Modeling Bankruptcy Prediction for Non-Financial Firms: The Case of Pakistan," MPRA Paper 28161, University Library of Munich, Germany.
    6. Julio Pindado & Luis F. Rodrigues, 2004. "Parsimonious Models of Financial Insolvency in Small Companies," Small Business Economics, Springer, vol. 22(1), pages 51-66, February.
    Full references (including those not matched with items on IDEAS)

    More about this item

    JEL classification:

    • G33 - Financial Economics - - Corporate Finance and Governance - - - Bankruptcy; Liquidation
    • L25 - Industrial Organization - - Firm Objectives, Organization, and Behavior - - - Firm Performance

    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:bas:econst:y:2016:i:3:p:118-136. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Diana Dimitrova). General contact details of provider: http://edirc.repec.org/data/ikbasbg.html .

    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.

    If CitEc recognized a reference but did not link an item in RePEc to it, you can help with 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.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.