Publication detail

Bankruptcy Prediction Models: Can the prediction power of the models be improved by using dynamic indicators?

REŽŇÁKOVÁ, M. KARAS, M.

Original Title

Bankruptcy Prediction Models: Can the prediction power of the models be improved by using dynamic indicators?

Type

conference paper

Language

English

Original Abstract

The present approach to developing bankruptcy prediction models uses financial ratios related to the time of one year before bankruptcy. Some authors try to improve the prediction accuracy of the models by using averaged ratios involving several years before bankruptcy. This of course assumes that a bankruptcy can be predicted several years ahead. This idea led us to investigating the differences between the dynamics of the financial ratios developments. Here we assume that the dynamics of the values of some indicators in a group of prospering companies may be different from that of those facing bankruptcy threats. The indicators that showed a significant difference in the development dynamics were used to develop a bankruptcy prediction model. The research was carried out using data of the Czech manufacturing industries obtained from the AMADEUS database for years 2002 to 2012, with each company providing data for up to five years prior to the bankruptcy. Along with investigating the different approach to the selection of indicators for the development of a bankruptcy model, we were also concerned with the selection of a method to develop it. Researching the literature, we found that the most commonly used method is one of linear discrimination analysis, whose precision is improved if applied to normally distributed data without outliers. With financial data, however, these assumptions are difficult to meet. Therefore, a non-parametric Boosted-Trees method was used to select the predictors and develop the bankruptcy models.

Keywords

Default prediction models; Financial ratios; Non-parametric model;

Authors

REŽŇÁKOVÁ, M.; KARAS, M.

RIV year

2014

Released

16. 9. 2014

Publisher

Elsevier

ISBN

2212-5671

Periodical

Procedia Economics and Finance

Year of study

12C

Number

1

State

United Kingdom of Great Britain and Northern Ireland

Pages from

565

Pages to

574

Pages count

9

URL

https://www.sciencedirect.com/science/article/pii/S2212567114003803

Full text in the Digital Library

http://hdl.handle.net/11012/70148

BibTex

@inproceedings{BUT109386,
  author="Mária {Režňáková} and Michal {Karas}",
  title="Bankruptcy  Prediction Models: Can the prediction power of the models be improved by using dynamic indicators?",
  booktitle="Procedia Economics and Finance",
  year="2014",
  journal="Procedia Economics and Finance",
  volume="12C",
  number="1",
  pages="565--574",
  publisher="Elsevier",
  doi="10.1016/S2212-5671(14)00380-3",
  issn="2212-5671",
  url="https://www.sciencedirect.com/science/article/pii/S2212567114003803"
}