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Predicting Financial Distress with the CCB Bankruptcy Model

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62690094%3A18450%2F21%3A50018292" target="_blank" >RIV/62690094:18450/21:50018292 - isvavai.cz</a>

  • Result on the web

    <a href="https://www.abacademies.org/articles/predicting-financial-distress-with-the-ccb-bankruptcy-model-11378.html" target="_blank" >https://www.abacademies.org/articles/predicting-financial-distress-with-the-ccb-bankruptcy-model-11378.html</a>

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Predicting Financial Distress with the CCB Bankruptcy Model

  • Original language description

    The aim of this research was to present a new methodology for the assessment of financial health of a company, called the Come Clean Bankruptcy (CCB) model. The ultimate objective of the model is to detect the signs of impending bankruptcy based on a set of selected financial indicators reflecting the capital structure, liquidity and overall growth of the company. The CCB model was applied on a data sample comprising 199 entities operating in the textile/clothing industry in the Czech Republic. The outputs were compared with the actual development of those companies in 2013-2020 in order to assess whether the model can be effectively employed in practice.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>SC</sub> - Article in a specialist periodical, which is included in the SCOPUS database

  • CEP classification

  • OECD FORD branch

    50205 - Accounting

Result continuities

  • Project

  • Continuities

    N - Vyzkumna aktivita podporovana z neverejnych zdroju

Others

  • Publication year

    2021

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    Academy of Accounting and Financial Studies Journal

  • ISSN

    1096-3685

  • e-ISSN

  • Volume of the periodical

    25

  • Issue of the periodical within the volume

    5

  • Country of publishing house

    GB - UNITED KINGDOM

  • Number of pages

    12

  • Pages from-to

    1-12

  • UT code for WoS article

  • EID of the result in the Scopus database

    2-s2.0-85112645137