Bankruptcy Prediction Based on Data Envelopment Analysis

Kód výsledku v 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>

Výsledek na webu

<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

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Jazyk výsledku

angličtina

Název v původním jazyce

Bankruptcy Prediction Based on Data Envelopment Analysis

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

Bankruptcy Prediction Based on Data Envelopment Analysis

Popis výsledku anglicky

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.

Druh

D - Stať ve sborníku

CEP obor

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OECD FORD obor

10103 - Statistics and probability

Projekt

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Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2019

Kód důvěrnosti údajů

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

Název statě ve sborníku

Mathematical Methods in Economics 2019: Conference Proceedings

ISBN

978-80-7394-760-6

ISSN

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e-ISSN

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Počet stran výsledku

6

Strana od-do

31-36

Název nakladatele

Jihočeská univerzita v Českých Budějovicích

Místo vydání

České Budějovice

Místo konání akce

České Budějovice

Datum konání akce

11. 9. 2019

Typ akce podle státní příslušnosti

EUR - Evropská akce

Kód UT WoS článku

000507570400004