Detail publikace

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

KARAS, M. REŽŇÁKOVÁ, M.

Originální název

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

Typ

článek ve sborníku ve WoS nebo Scopus

Jazyk

angličtina

Originální abstrakt

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.

Klíčová slova

bankruptcy prediction models; model accuracy; model robustness

Autoři

KARAS, M.; REŽŇÁKOVÁ, M.

Rok RIV

2015

Vydáno

1. 12. 2015

Nakladatel

Elsevier

ISSN

1877-0428

Periodikum

Procedia Social and Behavioral Sciences

Ročník

213

Číslo

1

Stát

Nizozemsko

Strany od

397

Strany do

403

Strany počet

7

URL

http://www.sciencedirect.com/science/article/pii/S1877042815059121

Plný text v Digitální knihovně

http://hdl.handle.net/11012/70151

BibTex

@inproceedings{BUT118189,
  author="Michal {Karas} and Mária {Režňáková}",
  title="Predicting bankruptcy under alternative conditions: the effect of a change in industry and time period on the accuracy of the model",
  booktitle="ICEM 2015",
  year="2015",
  journal="Procedia Social and Behavioral Sciences",
  volume="213",
  number="1",
  pages="397--403",
  publisher="Elsevier",
  doi="10.1016/j.sbspro.2015.11.557",
  issn="1877-0428",
  url="http://www.sciencedirect.com/science/article/pii/S1877042815059121"
}