Could the Altman Z-Score Model Detect the Financial Distress in Ghana? Multivariate Discriminant Analysis

Abstract

The purpose of this paper is to assess the effectiveness of the Altman Z-score model to discriminate between financially distressed and non-financially distressed manufacturing firms listed on the Ghana Stock Exchange. Eleven firms consisting of two financially distressed and nine non-financially distressed manufacturing firms were analysed. Independent descriptive statistics, independent sample t-test, and multivariate discriminant analysis were the analytical tools used to analyse the hypotheses of this study. The study revealed that working capital/total assets and sales/total assets were the major discriminators of financially distressed firms on the Ghana Stock Exchange. Multivariate discriminant analysis revealed an accuracy rate of 79.9% to detect financially distressed firms in Ghana.