The Success of Business Failure Prediction Using Financial Creditworthy Models

Kód výsledku v 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>

Výsledek na webu

<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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Jazyk výsledku

angličtina

Název v původním jazyce

The Success of Business Failure Prediction Using Financial Creditworthy Models

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

The Success of Business Failure Prediction Using Financial Creditworthy Models

Popis výsledku anglicky

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.

Druh

D - Stať ve sborníku

CEP obor

AE - Řízení, správa a administrativa

OECD FORD obor

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Projekt

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Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2016

Kód důvěrnosti údajů

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

Název statě ve sborníku

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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Počet stran výsledku

7

Strana od-do

413-419

Název nakladatele

Masarykova univerzita

Místo vydání

Brno

Místo konání akce

Brno

Datum konání akce

27. 6. 2016

Typ akce podle státní příslušnosti

EUR - Evropská akce

Kód UT WoS článku

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