BANKRUPTCY PREDICTION MODEL FOR PRIVATE LIMITED COMPANIES OF LITHUANIA

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Main Author: Gediminas Šlefendorfas
Format: Artículo científico
Language:en
Published: Vilniaus Universitetas 2016
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author Gediminas Šlefendorfas
author_facet Gediminas Šlefendorfas
contents BANKRUPTCY PREDICTION MODEL FOR PRIVATE LIMITED COMPANIES OF LITHUANIA Gediminas Šlefendorfas Economía y Finanzas Lithuania private limited companies Bankruptcy prediction model multivariate discriminant analysis method The paper is mainly devoted to the bankruptcy prediction models and their ability to assess a bankruptcy probability for Lithuanian companies. The study showed that the most common type of companies in Lithuania is a private limited company, therefore, the main objective was to analyse such companies’ financial information and by using these results, create a new bankruptcy prediction model, which would allow to predict the bankruptcy probability as accurately as possible. 145 companies (73 already bankrupt and 72 still operating) were chosen as a primary sample and by using multivariate discriminant analysis stepwise method a linear function ZGS has been created. To achieve that, 156 different financial ratios were selected as a primary input data by using correlation calculation between bankruptcy and still operating companies and Mann – Whitney U test techniques. The results showed that 89% of companies were classified correctly, which states that the model is strong enough to predict bankruptcy probability for private limited companies operating in Lithuania in a sufficient accuracy. 2016 artículo científico 2424-6166 https://www.redalyc.org/articulo.oa?id=692273677005 en http://www.redalyc.org/revista.oa?id=6922 Ekonomika application/pdf Vilniaus Universitetas Ekonomika (Lituania) Num.1 Vol.95
format Artículo científico
id redalyc_692273677005
institution Redalyc
language en
publishDate 2016
publisher Vilniaus Universitetas
spellingShingle BANKRUPTCY PREDICTION MODEL FOR PRIVATE LIMITED COMPANIES OF LITHUANIA
Gediminas Šlefendorfas
Economía y Finanzas
Lithuania
private limited companies
Bankruptcy prediction model
multivariate discriminant analysis method
BANKRUPTCY PREDICTION MODEL FOR PRIVATE LIMITED COMPANIES OF LITHUANIA Gediminas Šlefendorfas Economía y Finanzas Lithuania private limited companies Bankruptcy prediction model multivariate discriminant analysis method The paper is mainly devoted to the bankruptcy prediction models and their ability to assess a bankruptcy probability for Lithuanian companies. The study showed that the most common type of companies in Lithuania is a private limited company, therefore, the main objective was to analyse such companies’ financial information and by using these results, create a new bankruptcy prediction model, which would allow to predict the bankruptcy probability as accurately as possible. 145 companies (73 already bankrupt and 72 still operating) were chosen as a primary sample and by using multivariate discriminant analysis stepwise method a linear function ZGS has been created. To achieve that, 156 different financial ratios were selected as a primary input data by using correlation calculation between bankruptcy and still operating companies and Mann – Whitney U test techniques. The results showed that 89% of companies were classified correctly, which states that the model is strong enough to predict bankruptcy probability for private limited companies operating in Lithuania in a sufficient accuracy. 2016 artículo científico 2424-6166 https://www.redalyc.org/articulo.oa?id=692273677005 en http://www.redalyc.org/revista.oa?id=6922 Ekonomika application/pdf Vilniaus Universitetas Ekonomika (Lituania) Num.1 Vol.95
title BANKRUPTCY PREDICTION MODEL FOR PRIVATE LIMITED COMPANIES OF LITHUANIA
topic Economía y Finanzas
Lithuania
private limited companies
Bankruptcy prediction model
multivariate discriminant analysis method
url https://www.redalyc.org/articulo.oa?id=692273677005