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Bankruptcy Prediction Based on Data Envelopment Analysis

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62156489%3A43110%2F19%3A43916368" target="_blank" >RIV/62156489:43110/19:43916368 - isvavai.cz</a>

  • Result on the web

    <a href="http://mme2019.ef.jcu.cz/files/conference_proceedings.pdf" target="_blank" >http://mme2019.ef.jcu.cz/files/conference_proceedings.pdf</a>

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Bankruptcy Prediction Based on Data Envelopment Analysis

  • Original language description

    This article focuses on the classification based on data envelopment analysis for bankruptcy prediction of engineering companies in the EU. Data envelopment analysis is a technique developed in operational research that is typically used for efficiency evaluation. In this article, the data envelopment analysis method is used to find a &quot;bankruptcy frontier&quot;, which makes it possible to classify the companies as active (healthy) or bankrupt. For this purpose an additive model is selected. We deal with 953 small and medium-sized engineering companies in the EU from which 51 companies bankrupted in 2014. All models are based on financial data of companies. With regards to financial theory, a set of 19 characteristics representing the four basic groups of financial indicators (i.e. solvency ratios, liquidity ratios, turnover ratios and profitability ratios) is chosen. The results show that the data envelopment analysis method could be a competitor in the area of bankruptcy prediction for other methods such as support vector machines or logistic regression.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    10103 - Statistics and probability

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2019

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    Mathematical Methods in Economics 2019: Conference Proceedings

  • ISBN

    978-80-7394-760-6

  • ISSN

  • e-ISSN

  • Number of pages

    6

  • Pages from-to

    31-36

  • Publisher name

    Jihočeská univerzita v Českých Budějovicích

  • Place of publication

    České Budějovice

  • Event location

    České Budějovice

  • Event date

    Sep 11, 2019

  • Type of event by nationality

    EUR - Evropská akce

  • UT code for WoS article

    000507570400004