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BANKRUPTCY PREDICTION IN THE INDUSTRY BRANCH MANUFACTURE OF MACHINERY AND EQUIPMENT

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21630%2F16%3A00243070" target="_blank" >RIV/68407700:21630/16:00243070 - isvavai.cz</a>

  • Result on the web

    <a href="http://fim2.uhk.cz/hed/images/KOMPLET_16.pdf" target="_blank" >http://fim2.uhk.cz/hed/images/KOMPLET_16.pdf</a>

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    BANKRUPTCY PREDICTION IN THE INDUSTRY BRANCH MANUFACTURE OF MACHINERY AND EQUIPMENT

  • Original language description

    This paper is focused on the prediction ability of models predicting corporate financial distress, also called bankruptcy models. The models are verified on corporations belonging to one particular industry branch. The selected industry branch is CZ-NACE 28 containing corporations manufacturing machinery and other equipment because it is traditional manufacturing industry branch in the Czech Republic. The data set consists of the corporations classified as healthy as well as ailing. The verification is done by dozens of bankruptcy models coming from developed economies, the Czech Republic as well as other transition economies from Central and Eastern Europe. Tools used for verification of models' accuracy are Type I Error, Type II Error, ROC Curves and related AuROC coefficients.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    50602 - Public administration

Result continuities

  • Project

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2016

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    Double-blind peer reviewed proceedings of the international scientific conference Hradec Economic Days 2016

  • ISBN

    978-80-7435-636-0

  • ISSN

    2464-6059

  • e-ISSN

  • Number of pages

    7

  • Pages from-to

    123-129

  • Publisher name

    Univerzita Hradec Králové

  • Place of publication

    Hradec Králové

  • Event location

    Hradec Králové

  • Event date

    Feb 2, 2016

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article

    000539487200014