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KARAS, M.; REŽŇÁKOVÁ, M.; POKORNÝ, P.
Original Title
Predicting Bankruptcy of Agriculture Companies: Validating Selected Models
English Title
Type
WoS Article
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.
English abstract
Keywords
bankruptcy prediction models, ROC curves, agriculture
Key words in English
Authors
RIV year
2018
Released
05.07.2017
Publisher
Faculty of Management, Czestochowa University of Technology
ISBN
2081-7452
Periodical
Polish Journal of Management Studies
Volume
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" }
Documents
Predicting-Bankruptcy-of-Agriculture-Companies---Validating-Selected-Models