Accuracy of Models Predicting Corporate Bankruptcy in a Selected Industry Branch

Kód výsledku v 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>

Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Accuracy of Models Predicting Corporate Bankruptcy in a Selected Industry Branch

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

Accuracy of Models Predicting Corporate Bankruptcy in a Selected Industry Branch

Popis výsledku anglicky

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.

Druh

J_x - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)

CEP obor

AE - Řízení, správa a administrativa

OECD FORD obor

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Projekt

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Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2016

Kód důvěrnosti údajů

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

Název periodika

EKONOMICKÝ ČASOPIS

ISSN

0013-3035

e-ISSN

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Svazek periodika

64

Číslo periodika v rámci svazku

4

Stát vydavatele periodika

SK - Slovenská republika

Počet stran výsledku

14

Strana od-do

353-366

Kód UT WoS článku

000377922200004

EID výsledku v databázi Scopus

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