Publication detail

Predicting Bankruptcy of Agriculture Companies: Validating Selected Models

KARAS, M. REŽŇÁKOVÁ, M. POKORNÝ, P.

Original Title

Predicting Bankruptcy of Agriculture Companies: Validating Selected Models

Type

journal article in Web of Science

Language

English

Original Abstract

Many bankruptcy prediction models have been published so far, most of them were especially designated for the manufacturing companies. According to several studies, these models are inappropriate for other industries, as such application would be connected with a significantly lower accuracy than could be expected. The aim of this paper is to analyse the current accuracy of four traditional bankruptcy prediction models in the field of agriculture. The results showed that these models are less accurate in this field in comparison with the original results. This motivates the effort of deriving new models that would be specially developed for agriculture business.

Keywords

bankruptcy prediction models, ROC curves, agriculture

Authors

KARAS, M.; REŽŇÁKOVÁ, M.; POKORNÝ, P.

Released

5. 7. 2017

Publisher

Faculty of Management, Czestochowa University of Technology

ISBN

2081-7452

Periodical

Polish Journal of Management Studies

Year of study

15

Number

1

State

Republic of Poland

Pages from

110

Pages to

120

Pages count

11

URL

https://pjms.zim.pcz.pl/resources/html/article/details?id=156623

Full text in the Digital Library

http://hdl.handle.net/11012/209113

BibTex

@article{BUT137671,
  author="Michal {Karas} and Mária {Režňáková} and Petr {Pokorný}",
  title="Predicting Bankruptcy of Agriculture Companies: Validating Selected Models",
  journal="Polish Journal of Management Studies",
  year="2017",
  volume="15",
  number="1",
  pages="110--120",
  doi="10.17512/pjms.2017.15.1.11",
  issn="2081-7452",
  url="https://pjms.zim.pcz.pl/resources/html/article/details?id=156623"
}