Debt ratio

Financial system

Financial ratio

Actuarial science

Statistics

Variables

Economics

Business

Psychology

Mathematics

Psychotherapist

Econometrics

Debt

Financial distress

Logit

Distress

Finance

Logistic regression

This study revisited the prediction of financial distress companies in the mixed sector in Malaysia. This is achieved by using PN4 companies as the dependent variable and financial ratios as the independent variables. Logit Analysis was used because the dependent variable is binary or dichotomous in nature. It shows the probability of a company being financially distressed and it provides the coefficient value (positive or negative) of the independent variables (s) that are used as predictors. The results show that debt ratio and working capital ratio were significant in predicting financial distress companies in the mixed sector in Malaysia. The findings from the internal validation reveal that the prediction model provided a more than 50% chance that the model is accurate. However, the findings from the external validation indicate that the model might not be able to be used outside the estimation time period because the overall percentage accuracy was only slightly higher than 50% for five years before distress. This study not only provides the prediction model of financial distress companies in the mixed sector in Malaysia but it also validates the findings internally and externally. Internal and external validations were seldom conducted in previous studies due to lack of data.

Prediction of financial distress companies in the mixed sector in Malaysia: a revisit using PN4 data