IDEAS home Printed from https://ideas.repec.org/a/nbp/nbpbik/v49y2018i1p45-62.html
   My bibliography  Save this article

The importance of financial and non-financial ratios in SMEs bankruptcy prediction

Author

Listed:
  • Aneta Ptak-Chmielewska

    (Warsaw School of Economics)

  • Anna Matuszyk

    (Warsaw School of Economics)

Abstract

Credit risk is considered to be a key risk in banking activity. Statistical and data mining bankruptcy prediction models can be used in assessing the credit risk of enterprises. In the case of small and medium enterprises, qualitative factors are as important as financial ones. In this paper those financial ratios and qualitative factors that are the most frequently used in assessing bankruptcy prediction of small and medium enterprises were discussed. They were analysed and assessed with the use of data mining techniques, and they were also considered from the point of view of their inclusion in the bankruptcy prediction model.

Suggested Citation

  • Aneta Ptak-Chmielewska & Anna Matuszyk, 2018. "The importance of financial and non-financial ratios in SMEs bankruptcy prediction," Bank i Kredyt, Narodowy Bank Polski, vol. 49(1), pages 45-62.
    • Handle: RePEc:nbp:nbpbik:v:49:y:2018:i:1:p:45-62
    as

    Download full text from publisher

    File URL: https://bankikredyt.nbp.pl/content/2018/01/BIK_01_2018_03.pdf
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    bankruptcy prediction; non-financial ratios; random forests;
    All these keywords.

    JEL classification:

    • G17 - Financial Economics - - General Financial Markets - - - Financial Forecasting and Simulation
    • C1 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General
    • C5 - Mathematical and Quantitative Methods - - Econometric Modeling
    • R15 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Econometric and Input-Output Models; Other Methods

    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:nbp:nbpbik:v:49:y:2018:i:1:p:45-62. 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: Wojciech Burjanek (email available below). General contact details of provider: https://edirc.repec.org/data/nbpgvpl.html .

    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.