Optimal threshold of data envelopment analysis in bankruptcy prediction
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62156489%3A43110%2F23%3A43923576" target="_blank" >RIV/62156489:43110/23:43923576 - isvavai.cz</a>
Result on the web
<a href="https://doi.org/10.57645/20.8080.02.3" target="_blank" >https://doi.org/10.57645/20.8080.02.3</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.57645/20.8080.02.3" target="_blank" >10.57645/20.8080.02.3</a>
Alternative languages
Result language
angličtina
Original language name
Optimal threshold of data envelopment analysis in bankruptcy prediction
Original language description
Data envelopment analysis is not typically used for bankruptcy prediction. However, this paper shows that a correctly set up a model for this approach can be very useful in that context. A supereffciency model was applied to classify bankrupt and actively manufactured companies in the European Union. To select an appropriate threshold, the Youden index and the distance from the corner were used in addition to the total accuracy. The results indicate that selecting a suitable threshold improves specifcity visibly with only a small reduction in the total accuracy. The thresholds of the best models appear to be robust enough for predictions in different time and economic sectors.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
—
OECD FORD branch
10102 - Applied mathematics
Result continuities
Project
—
Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2023
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
SORT
ISSN
1696-2281
e-ISSN
2013-8830
Volume of the periodical
47
Issue of the periodical within the volume
1
Country of publishing house
ES - SPAIN
Number of pages
22
Pages from-to
129-150
UT code for WoS article
001022081200002
EID of the result in the Scopus database
2-s2.0-85167417368