The Comparison of Prediction Ability of Selected Credibility Models in the Textile Industry in the Czech Republic

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62690094%3A18450%2F17%3A50013872" target="_blank" >RIV/62690094:18450/17:50013872 - isvavai.cz</a>
Result on the web
<a href="https://msed.vse.cz/msed_2017/sbornik/toc.html" target="_blank" >https://msed.vse.cz/msed_2017/sbornik/toc.html</a>
DOI - Digital Object Identifier
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Result language
angličtina
Original language name
The Comparison of Prediction Ability of Selected Credibility Models in the Textile Industry in the Czech Republic
Original language description
Financial analysis presents one of the most important areas of interest in every successful company, where it can provide a huge amount of different indicators and models in areas of profitability, indebtedness, liquidity, and others. It is possible to use also some complex models, namely bankruptcy and credibility models, where these models usually provide one specific number and compare this number with recommended value. This article continues in the analysis of different models, as presented on previous IDSE conferences. This time, authors focus on credibility models, where several well-known models were selected for the analysis, namely Quick-test, IN 99, and Grünwald’s credibility index. The authors are evaluating one particular industry sector, namely Production of other textile, with the aim to compare the results of above mentioned models themselves, and to verify whether different models provide similar or different results. The data used for calculation have been obtained in database Albertina. Covered period of time is since 2011 to 2015. The results show that there exist differences between different models of financial analysis. More details are described in this article.
Czech name
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Czech description
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Publication year
2017
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
International days of statistics and economics 2017
ISBN
978-80-87990-12-4
ISSN
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e-ISSN
neuvedeno
Number of pages
10
Pages from-to
761-770
Publisher name
Melandrium
Place of publication
Slaný
Event location
Praha
Event date
Sep 14, 2017
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000455325300076

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