Practical application of the CCB model in Czechia

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62690094%3A18450%2F21%3A50020331" target="_blank" >RIV/62690094:18450/21:50020331 - isvavai.cz</a>

Výsledek na webu

<a href="https://www.efri.uniri.hr/upload/zbornik%202%202021/02-Halek-2021-2.pdf" target="_blank" >https://www.efri.uniri.hr/upload/zbornik%202%202021/02-Halek-2021-2.pdf</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.18045/zbefri.2021.2.299" target="_blank" >10.18045/zbefri.2021.2.299</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Practical application of the CCB model in Czechia

Popis výsledku v původním jazyce

This research aimed to present a new bankruptcy prediction model and apply this original prediction method in practice. The Come Clean Bankruptcy (or CCB) model uses relevant financial indicators and ratios to detect the signs of impending financial distress in time so that the management can take appropriate measures to avoid it. The model was applied to the data reported by 199 entities operating in the textile/clothing industry in the Czech Republic. Analyzing data reported for the previous seven years enabled us to predict which companies are more likely to end in a difficult financial situation. Afterward, comparing these predictions with the actual development of those companies in 2013-2020 serves to verify the efficacy and usability of the model to corporate reality. The research has shown that companies that went bankrupt in the analyzed period represented only a fraction of the data set (roughly 4.5%). Despite the small number of financial failures occurring during the analyzed period, the CCB model could detect impending bankruptcy in one-third of the cases.

Název v anglickém jazyce

Practical application of the CCB model in Czechia

Popis výsledku anglicky

This research aimed to present a new bankruptcy prediction model and apply this original prediction method in practice. The Come Clean Bankruptcy (or CCB) model uses relevant financial indicators and ratios to detect the signs of impending financial distress in time so that the management can take appropriate measures to avoid it. The model was applied to the data reported by 199 entities operating in the textile/clothing industry in the Czech Republic. Analyzing data reported for the previous seven years enabled us to predict which companies are more likely to end in a difficult financial situation. Afterward, comparing these predictions with the actual development of those companies in 2013-2020 serves to verify the efficacy and usability of the model to corporate reality. The research has shown that companies that went bankrupt in the analyzed period represented only a fraction of the data set (roughly 4.5%). Despite the small number of financial failures occurring during the analyzed period, the CCB model could detect impending bankruptcy in one-third of the cases.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

50201 - Economic Theory

Projekt

—

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2021

Kód důvěrnosti údajů

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

Název periodika

ZBORNIK RADOVA EKONOMSKOG FAKULTETA U RIJECI-PROCEEDINGS OF RIJEKA FACULTY OF ECONOMICS

ISSN

1331-8004

e-ISSN

1846-7520

Svazek periodika

39

Číslo periodika v rámci svazku

2

Stát vydavatele periodika

HR - Chorvatská republika

Počet stran výsledku

25

Strana od-do

299-323

Kód UT WoS článku

000739863700003

EID výsledku v databázi Scopus

2-s2.0-85132562415