Bankruptcy Prediction Models in Relation to SME Segment in the Czech Republic
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14560%2F17%3A00097905" target="_blank" >RIV/00216224:14560/17:00097905 - isvavai.cz</a>
Result on the web
<a href="http://www.efs.econ.muni.cz" target="_blank" >http://www.efs.econ.muni.cz</a>
DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Bankruptcy Prediction Models in Relation to SME Segment in the Czech Republic
Original language description
Financial analysis is an essential tool for those interested in assessing the economic situation of enterprises and subsequent decision making to predict the bankruptcy. Relating credit risk of a bank is a permanent subject of many scientific researches. We focus on small and medium sized enterprises (SMEs) because they are significantly different from large corporates from credit risk point of view. Our motivation is to show the importance of modeling credit risk for SMEs separately moreover we delimit medium sized, small sized and micro sized enterprises. The aim of this article is the comparison of the real predicting abilities of several bankruptcy models to each segment. There exist several popular bankruptcy models, that are often applied, namely the Altman Z-score, the Ohlson O-score, the Zmijewski’s model, the Taffler’s model, and the IN05 model. The basic form of the models is used as proposed by their authors. The results are compared using the contingency table and ROC curve.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
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
2017
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings of the 14th International Scientific conference European Financial Systems 2017, Part 2
ISBN
9788021086098
ISSN
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e-ISSN
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Number of pages
9
Pages from-to
183-191
Publisher name
Masarykova Univerzita
Place of publication
Brno
Event location
Brno
Event date
Jan 1, 2017
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000418110800022