Predicting financial distress using financial and non-financial variables

This study attempts to clarify whether using a hybrid model based on non-financial variables and financial variables is able to provide a more accurate company financial distress prediction model than using a model based on financial variables only. The relationship between the model test results an...

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Main Authors: Francois Van Der Colff, Frans Vermaak
Format: Article
Language:English
Published: AOSIS 2015-04-01
Series:Journal of Economic and Financial Sciences
Subjects:
Online Access:https://jefjournal.org.za/index.php/jef/article/view/93
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author Francois Van Der Colff
Frans Vermaak
author_facet Francois Van Der Colff
Frans Vermaak
author_sort Francois Van Der Colff
collection DOAJ
description This study attempts to clarify whether using a hybrid model based on non-financial variables and financial variables is able to provide a more accurate company financial distress prediction model than using a model based on financial variables only. The relationship between the model test results and the De la Rey K-Score for the subject companies is tested, employing Cramer’s V statistical test. A movement towards a Cramer’s V value of one indicates a strengthening relationship, and a movement towards zero is an indication of a weakening relationship. Against this background, further empirical research is proposed to prove that a model combining financial variables with true non-financial variables provides a more accurate company distress prediction than a financial variable-only model. The limited evidence of a strengthening relationship found is insufficient to establish the superiority of the proposed model beyond reasonable doubt.
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spelling doaj.art-f86bd26a769c479ab5b4b870fa8266492022-12-21T23:29:05ZengAOSISJournal of Economic and Financial Sciences1995-70762312-28032015-04-018124326010.4102/jef.v8i1.9390Predicting financial distress using financial and non-financial variablesFrancois Van Der Colff0Frans Vermaak1University of PretoriaUniversity of PretoriaThis study attempts to clarify whether using a hybrid model based on non-financial variables and financial variables is able to provide a more accurate company financial distress prediction model than using a model based on financial variables only. The relationship between the model test results and the De la Rey K-Score for the subject companies is tested, employing Cramer’s V statistical test. A movement towards a Cramer’s V value of one indicates a strengthening relationship, and a movement towards zero is an indication of a weakening relationship. Against this background, further empirical research is proposed to prove that a model combining financial variables with true non-financial variables provides a more accurate company distress prediction than a financial variable-only model. The limited evidence of a strengthening relationship found is insufficient to establish the superiority of the proposed model beyond reasonable doubt.https://jefjournal.org.za/index.php/jef/article/view/93financial distress predictionnon-financial variablesfinancial distress continuumneural networks
spellingShingle Francois Van Der Colff
Frans Vermaak
Predicting financial distress using financial and non-financial variables
Journal of Economic and Financial Sciences
financial distress prediction
non-financial variables
financial distress continuum
neural networks
title Predicting financial distress using financial and non-financial variables
title_full Predicting financial distress using financial and non-financial variables
title_fullStr Predicting financial distress using financial and non-financial variables
title_full_unstemmed Predicting financial distress using financial and non-financial variables
title_short Predicting financial distress using financial and non-financial variables
title_sort predicting financial distress using financial and non financial variables
topic financial distress prediction
non-financial variables
financial distress continuum
neural networks
url https://jefjournal.org.za/index.php/jef/article/view/93
work_keys_str_mv AT francoisvandercolff predictingfinancialdistressusingfinancialandnonfinancialvariables
AT fransvermaak predictingfinancialdistressusingfinancialandnonfinancialvariables