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The Role of Apparent Signs of Financial Distress in Test Samples and Verification Samples of Bankrupt Models

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216275%3A25410%2F18%3A39913439" target="_blank" >RIV/00216275:25410/18:39913439 - isvavai.cz</a>

  • Result on the web

    <a href="https://is.muni.cz/do/econ/sborniky/2018/Proceedings_finalni_verze_September_3.pdf" target="_blank" >https://is.muni.cz/do/econ/sborniky/2018/Proceedings_finalni_verze_September_3.pdf</a>

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    The Role of Apparent Signs of Financial Distress in Test Samples and Verification Samples of Bankrupt Models

  • Original language description

    Financial bankrupt models are characterized as quite accurate and above all very fast tools for quantitative evaluation of financial health of company. The creators report the accuracy of the predicted bankruptcy usually in the range of 70 to 90%. But the problem of bankruptcy models is the test sample on which the models were created. The sample affects the predictive power of these models. Usually indicated accuracy rate differs from the real predictive power of these models. The financial distress of certain businesses may be obvious even without the use of bankruptcy models. Apparent signs of financial distress may be insolvency, negative equity, VAT unreliability, negative economic result for several years in a row. Survey conducted by more than 270 companies has shown that more businesses with apparent signs of financial distress in the sample increase the reported accuracy of the bankruptcy model. The research carried out also has determined the real accuracy of selected bankruptcy models on the standard sample of Czech firms and also on a sample of companies where companies with obvious signs of financial distress were eliminated. Due to the modification of the test sample subsequently the accuracy of the selected models changed radically.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    50202 - Applied Economics, Econometrics

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2018

  • 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 2018 : Proceedings of the 15th International Scientific Conference

  • ISBN

    978-80-210-8980-8

  • ISSN

  • e-ISSN

    neuvedeno

  • Number of pages

    7

  • Pages from-to

    341-347

  • Publisher name

    Masarykova univerzita

  • Place of publication

    Brno

  • Event location

    Brno

  • Event date

    Jun 25, 2018

  • Type of event by nationality

    EUR - Evropská akce

  • UT code for WoS article

    000462948800044