The Success of Business Failure Prediction Using Financial Creditworthy Models
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216275%3A25410%2F16%3A39902035" target="_blank" >RIV/00216275:25410/16:39902035 - isvavai.cz</a>
Result on the web
<a href="http://is.muni.cz/do/econ/sborniky/2016/EFS2016-Proceedings_final_September_19_final.pdf" target="_blank" >http://is.muni.cz/do/econ/sborniky/2016/EFS2016-Proceedings_final_September_19_final.pdf</a>
DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
The Success of Business Failure Prediction Using Financial Creditworthy Models
Original language description
Financial creditworthy models are popular for their simplicity and fast applications. Above all, quantitative evaluation of financial health guarantees an unbiased assessment of company. On the other hand, these models do not take into account the soft factors. Probably, the most famous Czech financial models known as creditworthy are Credibility Index, Rudolf Doucha's Balance analysis, and Kralicek's Q-test. They were created for the purpose of assessing the creditworthiness usually without using statistical methods. Can they be used for prediction of business failure despite this drawback? What is their success rate? Which of these classic financial models achieves the highest accuracy? To find answers a dataset of financial statements of 92 companies in manufacturing industry was analysed. These companies went bankrupt between 2010-2014.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
AE - Management, administration and clerical work
OECD FORD branch
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Result continuities
Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2016
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
European Financial Systems 2016 : proceedings of the 13th International Scientific Conference
ISBN
978-80-210-8308-0
ISSN
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e-ISSN
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Number of pages
7
Pages from-to
413-419
Publisher name
Masarykova univerzita
Place of publication
Brno
Event location
Brno
Event date
Jun 27, 2016
Type of event by nationality
EUR - Evropská akce
UT code for WoS article
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