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

Aneta Ptak-Chmielewska () and Anna Matuszyk ()
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Aneta Ptak-Chmielewska: Warsaw School of Economics
Anna Matuszyk: Warsaw School of Economics

Bank i Kredyt, 2018, vol. 49, issue 1, 45-62

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.

Keywords: bankruptcy prediction; non-financial ratios; random forests (search for similar items in EconPapers)
JEL-codes: G17 C1 C5 R15 (search for similar items in EconPapers)
Date: 2018
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Handle: RePEc:nbp:nbpbik:v:49:y:2018:i:1:p:45-62