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Predictive Ability of the Index of Creditworthiness

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216275%3A25410%2F15%3A39899892" target="_blank" >RIV/00216275:25410/15:39899892 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Predictive Ability of the Index of Creditworthiness

  • Original language description

    The creditworthy models shall define the level of financial health of analysed economic entity. As well as the bankruptcy models the creditworthy models are usually made of a combination of chosen ratio indexes and assigned weights. Models are, in several cases, based on the points system. In case of bankruptcy models the accuracy of their prediction can be verified on samples of companies that went into the insolvency or even bankrupted. The question is how to evaluate the accuracy of creditworthiness models evaluation. This text presents the created methodology and results of research focused on the creditworthiness index accuracy evaluation. The goal is to set the index of creditworthiness accuracy on the base of own methodology. For this purpose the economic data of 1260 companies from the processing industry sphere were analyzed.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    AE - Management, administration and clerical work

  • OECD FORD branch

Result continuities

  • Project

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2015

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    Proceedings of the 7th International Scientific Conference Finance and Performance of Firms in Science, Education and Practice

  • ISBN

    978-80-7454-482-8

  • ISSN

  • e-ISSN

  • Number of pages

    10

  • Pages from-to

    795-804

  • Publisher name

    Univerzita Tomáše Bati ve Zlíně

  • Place of publication

    Zlín

  • Event location

    Zlín

  • Event date

    Apr 23, 2015

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article

    000374107300062