Can the same indicators serve for the prediction of bankruptcy in a different environment?

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26510%2F14%3APU111363" target="_blank" >RIV/00216305:26510/14:PU111363 - isvavai.cz</a>
Result on the web
—
DOI - Digital Object Identifier
—

Result language
angličtina
Original language name
Can the same indicators serve for the prediction of bankruptcy in a different environment?
Original language description
This paper presents the results of research into the prediction capability of financial proportional indicators on companies operating in different environments. The subject of the research are indicators used in the Z-score model which is considered a model with good prediction capability by many contemporary authors. Our research has shown that the prediction capability of this model is lower than that declared by the author. This finding led us to an investigation of the prediction capability of individual model variables in an attempt to determine whether the lower prediction accuracy of the model may be influenced by the variables used. The research was conducted on the basis of data on companies in the manufacturing industry in Visegrad Four countries for the years 2006 to 2012 obtained from the AMADEUS database. The results demonstrated the differing significance of variables in the individual countries which indicates the necessity of creating original models for each country.
Czech name
—
Czech description
—

Publication year
2014
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Managing and Modelling of Financial Risks 7th International Scientific Conference, PROCEEDINGS, (Part II.)
ISBN
978-80-248-3631-7
ISSN
—
e-ISSN
—
Number of pages
9
Pages from-to
335-343
Publisher name
Neuveden
Place of publication
Neuveden
Event location
Ostrava
Event date
Sep 8, 2014
Type of event by nationality
EUR - Evropská akce
UT code for WoS article
000350605800041

Similar results(10)