Detail publikace

Creating a new bankruptcy prediction model: The grey zone problem

KARAS, M. REŽŇÁKOVÁ, M.

Originální název

Creating a new bankruptcy prediction model: The grey zone problem

Typ

článek ve sborníku ve WoS nebo Scopus

Jazyk

angličtina

Originální abstrakt

Bankruptcy prediction models based on the method of linear discriminant analysis (indexes) represent a widely used tool for analyzing corporate failures or evaluating a companys financial health. However, such models are ineffective in alternative economic environments or industries. This is one of the reasons for the necessity of adjusting existing models or creating better new models. There are many papers on creating bankruptcy prediction models, but many of these papers deal with the problem of finding a better set of predictors or finding a better classification algorithm, while limited attention is paid to the problem of setting optimal cut-off scores or grey zone borders. As the grey zone problem can be viewed as a trade-off between a models accuracy and the number of companies that remain unevaluated, it represents a factor influencing model accuracy and effectiveness. In this paper we aim to suggest a criterion that can be used for deriving a grey zone that on one hand maximizes model accuracy, while on the other hand minimizes the number of unevaluated companies.

Klíčová slova

Bankruptcy model, financial ratios, the prediction accuracy of bankruptcy models

Autoři

KARAS, M.; REŽŇÁKOVÁ, M.

Rok RIV

2014

Vydáno

6. 11. 2014

ISBN

978-0-9860419-3-8

Kniha

Proceedings of The 24th International Business Information Management Association Conference

Strany od

911

Strany do

919

Strany počet

9

BibTex

@inproceedings{BUT110421,
  author="Michal {Karas} and Mária {Režňáková}",
  title="Creating a new bankruptcy prediction model: The grey zone problem",
  booktitle="Proceedings of The 24th International Business Information Management Association Conference",
  year="2014",
  pages="911--919",
  isbn="978-0-9860419-3-8"
}