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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

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

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    50200 - Economics and Business

Result continuities

  • Project

  • 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

  • e-ISSN

  • 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