THE RELATIVE IMPORTANCE OF FINANCIAL RATIOS AND NONFINANCIAL VARIABLES IN PREDICTING OF INSOLVENCY

One of the most important decisions in every bank is approving loans to firms, which is based on evaluated credit risk and collateral. Namely, it is necessary to evaluate the risk that client will be unable to repay the obligations according to the contract. After Beaver's (1967) and Altman...

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Main Authors: Ivica Pervan, Tamara Kuvek
Format: Article
Language:English
Published: Croatian Operational Research Society 2013-02-01
Series:Croatian Operational Research Review
Subjects:
Online Access:http://hrcak.srce.hr/index.php?show=clanak&id_clanak_jezik=143355
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spelling doaj-6e4b27c08e684dc6b1540a423531e32f2020-11-25T01:21:21ZengCroatian Operational Research SocietyCroatian Operational Research Review1848-02251848-99312013-02-0141187197THE RELATIVE IMPORTANCE OF FINANCIAL RATIOS AND NONFINANCIAL VARIABLES IN PREDICTING OF INSOLVENCYIvica Pervan0Tamara Kuvek1Faculty of Economics Split, University of Split, Split, CroatiaSociete Generale - Splitska banka d.d., Split, CroatiaOne of the most important decisions in every bank is approving loans to firms, which is based on evaluated credit risk and collateral. Namely, it is necessary to evaluate the risk that client will be unable to repay the obligations according to the contract. After Beaver's (1967) and Altman's (1968) seminal papers many authors extended the initial research by changing the methodology, samples, countries, etc. But majority of business failure papers as predictors use financial ratios, while in the real life banks combine financial and nonfinancial variables. In order to test predictive power of nonfinancial variables authors in the paper compare two insolvency prediction models. The first model that used financial rations resulted with classification accuracy of 82.8%, while the combined model with financial and nonfinancial variables resulted with classification accuracy of 88.1%.http://hrcak.srce.hr/index.php?show=clanak&id_clanak_jezik=143355Insolvency predictionFinancial ratiosNonfinancial variables
collection DOAJ
language English
format Article
sources DOAJ
author Ivica Pervan
Tamara Kuvek
spellingShingle Ivica Pervan
Tamara Kuvek
THE RELATIVE IMPORTANCE OF FINANCIAL RATIOS AND NONFINANCIAL VARIABLES IN PREDICTING OF INSOLVENCY
Croatian Operational Research Review
Insolvency prediction
Financial ratios
Nonfinancial variables
author_facet Ivica Pervan
Tamara Kuvek
author_sort Ivica Pervan
title THE RELATIVE IMPORTANCE OF FINANCIAL RATIOS AND NONFINANCIAL VARIABLES IN PREDICTING OF INSOLVENCY
title_short THE RELATIVE IMPORTANCE OF FINANCIAL RATIOS AND NONFINANCIAL VARIABLES IN PREDICTING OF INSOLVENCY
title_full THE RELATIVE IMPORTANCE OF FINANCIAL RATIOS AND NONFINANCIAL VARIABLES IN PREDICTING OF INSOLVENCY
title_fullStr THE RELATIVE IMPORTANCE OF FINANCIAL RATIOS AND NONFINANCIAL VARIABLES IN PREDICTING OF INSOLVENCY
title_full_unstemmed THE RELATIVE IMPORTANCE OF FINANCIAL RATIOS AND NONFINANCIAL VARIABLES IN PREDICTING OF INSOLVENCY
title_sort relative importance of financial ratios and nonfinancial variables in predicting of insolvency
publisher Croatian Operational Research Society
series Croatian Operational Research Review
issn 1848-0225
1848-9931
publishDate 2013-02-01
description One of the most important decisions in every bank is approving loans to firms, which is based on evaluated credit risk and collateral. Namely, it is necessary to evaluate the risk that client will be unable to repay the obligations according to the contract. After Beaver's (1967) and Altman's (1968) seminal papers many authors extended the initial research by changing the methodology, samples, countries, etc. But majority of business failure papers as predictors use financial ratios, while in the real life banks combine financial and nonfinancial variables. In order to test predictive power of nonfinancial variables authors in the paper compare two insolvency prediction models. The first model that used financial rations resulted with classification accuracy of 82.8%, while the combined model with financial and nonfinancial variables resulted with classification accuracy of 88.1%.
topic Insolvency prediction
Financial ratios
Nonfinancial variables
url http://hrcak.srce.hr/index.php?show=clanak&id_clanak_jezik=143355
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AT tamarakuvek therelativeimportanceoffinancialratiosandnonfinancialvariablesinpredictingofinsolvency
AT ivicapervan relativeimportanceoffinancialratiosandnonfinancialvariablesinpredictingofinsolvency
AT tamarakuvek relativeimportanceoffinancialratiosandnonfinancialvariablesinpredictingofinsolvency
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