Accuracy of Models Predicting Corporate Bankruptcy in a Selected Industry Branch

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21630%2F16%3A00300070" target="_blank" >RIV/68407700:21630/16:00300070 - isvavai.cz</a>

Result on the web

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DOI - Digital Object Identifier

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Result language

angličtina

Original language name

Accuracy of Models Predicting Corporate Bankruptcy in a Selected Industry Branch

Original language description

The paper's main aim is an accuracy verification of dozens models predicting financial distress. The evaluated models were created in the past in developed countries and especially in transition economies. High probability of bankruptcy does not affect only an ailing enterprise itself but it also influences other business related entities or counterparties and therefore the results provided by models predicting financial distress have their serious usage as scoring models. Models predicting financial distress help the decision making process by predicting future development of selected business entities. Research hypotheses are based on the idea that already existing models predicting financial distress still have enough explanatory power and accuracy for decision making and there is no need for the creation of a new one. The research should answer the question which models should nowadays be recommended the most for practical use. The paper uses for the verification tools such as Type I Error, Type II Error, ROC Curves and related AuROC coefficients.

Czech name

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Czech description

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Type

J_x - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

CEP classification

AE - Management, administration and clerical work

OECD FORD branch

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Project

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Continuities

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year

2016

Confidentiality

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

Name of the periodical

EKONOMICKÝ ČASOPIS

ISSN

0013-3035

e-ISSN

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Volume of the periodical

64

Issue of the periodical within the volume

4

Country of publishing house

SK - SLOVAKIA

Number of pages

14

Pages from-to

353-366

UT code for WoS article

000377922200004

EID of the result in the Scopus database

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