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KARAS, M.; REŽŇÁKOVÁ, M.
Original Title
Bankruptcy Prediction Model of Industrial Enterprises in the Czech Republic
English Title
Type
Peer-reviewed article not indexed in WoS or Scopus
Original Abstract
Imminent bankruptcy endangers the owners and employees of a bankrupting company as well as its creditors such as other companies and banks. The number of the Czech companies going bankrupt from 2008 to 2011was three to four times higher, which makes it even more necessary to look for early-warning tools. Based on an analysis of the financial statements of Czech industrial enterprises submitted between 2007 and 2010, a bankruptcy prediction model has been devised with a classification precision ranging from 94.03to 97.79 percent.It can identify bankruptcy with a confidence of 90 percent even three years ahead.
English abstract
Keywords
bankruptcy prediction, discriminant analysis, Box- Cox data transformation, forward and backward discrimination, classification function
Key words in English
Authors
RIV year
2014
Released
16.05.2013
ISBN
1998-0140
Periodical
INTERNATIONAL JOURNAL of MATHEMATICAL MODELS AND METHODS IN APPLIED SCIENCES
Volume
7
Number
5
State
United States of America
Pages from
519
Pages to
531
Pages count
13
Full text in the Digital Library
http://hdl.handle.net/
BibTex
@article{BUT99822, author="Michal {Karas} and Mária {Režňáková}", title="Bankruptcy Prediction Model of Industrial Enterprises in the Czech Republic", journal="INTERNATIONAL JOURNAL of MATHEMATICAL MODELS AND METHODS IN APPLIED SCIENCES", year="2013", volume="7", number="5", pages="519--531", issn="1998-0140" }