Predicting bankruptcy under alternative conditions: the effect of a change in industry and time period on the accuracy of the model

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26510%2F15%3APU116223" target="_blank" >RIV/00216305:26510/15:PU116223 - isvavai.cz</a>

Výsledek na webu

<a href="http://www.sciencedirect.com/science/article/pii/S1877042815059121" target="_blank" >http://www.sciencedirect.com/science/article/pii/S1877042815059121</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1016/j.sbspro.2015.11.557" target="_blank" >10.1016/j.sbspro.2015.11.557</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Predicting bankruptcy under alternative conditions: the effect of a change in industry and time period on the accuracy of the model

Popis výsledku v původním jazyce

According to literature bankruptcy prediction models are less accurate if applied in under alternative conditions. In our previous research we created our own bankruptcy prediction model. When creating the model we tried to applicate an approach different to previous ones. For creating the model we used the traditional method of linear discrimination analysis, but we employed only transformed variables with approximately normal distribution. What is more, the variables pairs are mostly negatively correlated. According to literature such factors should positively influence the model accuracy. However there is a very limited literacy how such application affects the stability of model’s accuracy. The aim of this paper is to analyse the stability of model’s accuracy in application in different time period or different line of business. Moreover, we aim to examine and discuss the effectiveness of the procedure which was used to create the model.

Název v anglickém jazyce

Predicting bankruptcy under alternative conditions: the effect of a change in industry and time period on the accuracy of the model

Popis výsledku anglicky

According to literature bankruptcy prediction models are less accurate if applied in under alternative conditions. In our previous research we created our own bankruptcy prediction model. When creating the model we tried to applicate an approach different to previous ones. For creating the model we used the traditional method of linear discrimination analysis, but we employed only transformed variables with approximately normal distribution. What is more, the variables pairs are mostly negatively correlated. According to literature such factors should positively influence the model accuracy. However there is a very limited literacy how such application affects the stability of model’s accuracy. The aim of this paper is to analyse the stability of model’s accuracy in application in different time period or different line of business. Moreover, we aim to examine and discuss the effectiveness of the procedure which was used to create the model.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

50201 - Economic Theory

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2015

Kód důvěrnosti údajů

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

Název statě ve sborníku

ICEM 2015

ISBN

—

ISSN

1877-0428

e-ISSN

—

Počet stran výsledku

7

Strana od-do

397-403

Název nakladatele

Elsevier

Místo vydání

Neuveden

Místo konání akce

Kaunas

Datum konání akce

6. 5. 2015

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

000380495800065