Implementation of standards into predictors of financial stability
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216275%3A25410%2F22%3A39919052" target="_blank" >RIV/00216275:25410/22:39919052 - isvavai.cz</a>
Result on the web
<a href="https://www.tandfonline.com/doi/full/10.1080/1331677X.2022.2053785" target="_blank" >https://www.tandfonline.com/doi/full/10.1080/1331677X.2022.2053785</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1080/1331677X.2022.2053785" target="_blank" >10.1080/1331677X.2022.2053785</a>
Alternative languages
Result language
angličtina
Original language name
Implementation of standards into predictors of financial stability
Original language description
This article proposes a methodology for modifying bankruptcymodels. The authors focused on the role of partial predictors inpredicting companys bankruptcy. According to the authors, it is necessary to analyse the anomalies that occur in companies that are losing financial stability. It has been hypothesized that some anomalies in the form of extreme values may deviate the overall final value of the model to such an extent that they lead to an erroneous evaluation of the company by the bankruptcy model. As a result, companies in bankruptcy may be incorrectly classified as 'financially stable' or, conversely, financially sound companies with certain extreme values could be mistaken for companies in bankruptcy. To verify the hypothesis, the authors analysed the probability distribution of partial predictors of the bankruptcy Model 1 on a test and verification sample of more than 1,100 companies. Limits were set to eliminate extreme values and, as a result, the accuracy of the model has been increased. The introduction of limits has increased the accuracy of the model, especially in bankruptcy prediction. For bankruptcies, the accuracy increased from 85.82% to 88.65% for the test sample and from 84.00% to 88.00% for the verification sample.
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
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OECD FORD branch
50206 - Finance
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2022
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Economic Research-Ekonomska Istrazivanja
ISSN
1331-677X
e-ISSN
1848-9664
Volume of the periodical
35
Issue of the periodical within the volume
1
Country of publishing house
GB - UNITED KINGDOM
Number of pages
17
Pages from-to
6884-6900
UT code for WoS article
000773793400001
EID of the result in the Scopus database
2-s2.0-85127258361