Industry specifics of joint-stock companies in Poland and their bankruptcy prediction

Sergiusz Herman

Abstract

The bankruptcy of companies is a characteristic of every developed market economy. The risk of bankruptcy is an object of interest for a wide g roup of stakeholders, including owners, employees, managers, creditors and suppli ers. Negative consequences of bankruptc y led to many attempts to predict it. The one of direction of research on predicting the bankruptcy of companies is building models depe nding on characteristics of the industry of researched companies. Due to a difficulty of gathering a research sample that is big enough, Polish researchers rarely try to build models depending on industries. There are only two examples of authors who have compared the choice of classification for industry models and a “general” model (which does not include the char acteristics of industry) . There are two main aims of research. The first of them is to compare predictive ability o f industry and general models error of industry and general models. The other aim was to define determinants of joint - stock company bankruptcy in particular industries. Empirical studies were conducted on 180 joint - stock companies in the Polish capital market. They represent three ind ustries of the economy that is construction, manufacturing and trade. The calculations were performed using the bootstrapping method and the multivariate discriminant analysis.
Author Sergiusz Herman (WIiGE / KE)
Sergiusz Herman,,
- Department of Econometrics
Pages93-102
Publication size in sheets0.5
Book Papież Monika, Śmiech Sławomir (eds.): Proceedings of the 11th Professor Aleksander Zelias International Conference on Modelling and Forecasting of Socio-Economic Phenomena, 2017, Foundation of the Cracow University of Economics, ISBN 9788365173850, 466 p.
Keywords in Englishcompanies bankruptcy, predicting, discriminant analysis, industry specifics
URL http://pliki.konferencjazakopianska.pl/proceedings_2017/pdf/Herman.pdf
Languageen angielski
Score (nominal)15
Score sourceconferenceIndex
ScoreMinisterial score = 15.0, 15-04-2020, ChapterFromConference
Publication indicators WoS Citations = 0
Citation count*3 (2020-09-13)
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