Comparative Analysis of Credit Risk Models in Relation to SME Segment
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14560%2F18%3A00103880" target="_blank" >RIV/00216224:14560/18:00103880 - isvavai.cz</a>
Result on the web
<a href="http://fai.econ.muni.cz" target="_blank" >http://fai.econ.muni.cz</a>
DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Comparative Analysis of Credit Risk Models in Relation to SME Segment
Original language description
The importance of credit risk management is well known and was deeply investigated by the banking industry. There is a pressure on financial institutions to still improve their credit risk management systems, so the credit risk of a bank is an unflagging object of a discussion. The aim of this article is the comparison of the predicting abilities of several bankruptcy models to SME segment in the Czech Republic and its subsegments - medium sized, small sized and micro sized enterprises. We have focused on small and medium sized enterprises (SMEs) considering the fundamental role played in the Czech economy and the considerable attention placed on SMEs. We have chosen popular bankruptcy models, that are often applied, namely the Altman Z-score, Altman model developed especially for SMEs in 2007, the Ohlson O-score, the Zmijewski’s model, the Taffler’s model, and the IN05 model. The basic form of the models was used as proposed by their authors. The results were compared using the contingency table and ROC curve. We have found that the best prediction models are Zmijewski´s and Ohlson´s models which use probit and logit methodologies and according to our analysis, their prediction ability are better than models based on discriminant analysis. Surprisingly, model IN05 designed for Czech companies provides only average results. The one of the worst performing models is Altman 2007, which was created specifically for SMEs, but according to our analysis it provides only subordinates results.
Czech name
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Czech description
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Classification
Type
J<sub>ost</sub> - Miscellaneous article in a specialist periodical
CEP classification
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OECD FORD branch
50200 - Economics and Business
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2018
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Financial Assets and Investing
ISSN
1804-5081
e-ISSN
1804-509X
Volume of the periodical
neuveden
Issue of the periodical within the volume
1/2018
Country of publishing house
CZ - CZECH REPUBLIC
Number of pages
72
Pages from-to
35-50
UT code for WoS article
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EID of the result in the Scopus database
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