IDEAS home Printed from https://ideas.repec.org/a/ids/gbusec/v18y2016i3-4p420-444.html
   My bibliography  Save this article

Construction measures of bankruptcy: case study of Polish enterprises

Author

Listed:
  • Natalia Nehrebecka
  • Aneta Dzik-Walczak

Abstract

The paper presents a model assigning a bankruptcy probability to a company, developed on the basis of individual data from balance sheets and income statements of Polish companies in the 2001-2010 period. The research was based on a logistic regression performed on categorised variables transformed using a weight of evidence approach. In the forecasting model of a possible bankruptcy in a year's horizon the highest weight was assigned to the indicator for the ability to cover financial costs which explained the company's ability to meet the interest payments and capital costs. In the more generalised model which accounts for the macroeconomic situation the most important was the indicator for the ability to pay off debt. In the model forecasting bankruptcies three-years in advance - the early warning model - no dominant indicator was found.

Suggested Citation

  • Natalia Nehrebecka & Aneta Dzik-Walczak, 2016. "Construction measures of bankruptcy: case study of Polish enterprises," Global Business and Economics Review, Inderscience Enterprises Ltd, vol. 18(3/4), pages 420-444.
    • Handle: RePEc:ids:gbusec:v:18:y:2016:i:3/4:p:420-444
    as

    Download full text from publisher

    File URL: http://www.inderscience.com/link.php?id=76234
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

    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. Natalia Nehrebecka, 2018. "Sectoral risk assessment with particular emphasis on export enterprises in Poland," Zbornik radova Ekonomskog fakulteta u Rijeci/Proceedings of Rijeka Faculty of Economics, University of Rijeka, Faculty of Economics and Business, vol. 36(2), pages 677-700.
    2. Natalia Nehrebecka, 2021. "Climate Risk with Particular Emphasis on the Relationship with Credit-Risk Assessment: What We Learn from Poland," Energies, MDPI, vol. 14(23), pages 1-14, December.
    3. Natalia Nehrebecka & Aneta Dzik-Walczak, 2018. "The dynamic model of partial adjustment of the capital structure: Meta-analysis and a case of Polish enterprises," Zbornik radova Ekonomskog fakulteta u Rijeci/Proceedings of Rijeka Faculty of Economics, University of Rijeka, Faculty of Economics and Business, vol. 36(1), pages 55-81.

    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:ids:gbusec:v:18:y:2016:i:3/4:p:420-444. 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: Sarah Parker (email available below). General contact details of provider: http://www.inderscience.com/browse/index.php?journalID=168 .

    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.