Financial distress and bankruptcy of companies may cause the resources to be wasted and the investment opportunities to be faded. Bankruptcy prediction by providing necessary warnings can make the companies aware of this problem. The aim of this study is to compare the ability of Bayesian...

Financial distress and bankruptcy of companies may cause the resources to be wasted and the investment opportunities to be faded. Bankruptcy prediction by providing necessary warnings can make the companies aware of this problem. The aim of this study is to compare the ability of Bayesian...

This study investigates the ability of three versions of Altman's Z-Score model (Z, Z', and Z”) of distress prediction developed in the U.S. to predict the corporate distress in the emerging market of Sri Lanka. The results show that these models have a remarkable degree of accuracy in...

This study is motivated by the continuing popularity of the Altman Z-score as a measure of distress risk. Altman first introduced the ‘Z' score in 1968 and 50 years later it is still going strong as a means to predicting bankruptcy. During these 50 years, academicians have studied the...

A financial distress of company should be able anticipated smartly by its management to rerun the business without having any loss due to business failure. Thus, we need a model which could provide an early signal to company the probability of financial distress so that remedial efforts can be...

Financial distress is a stage of decline in financial conditions experienced by a company before going bankrupt. This phenomenon in Indonesia in recent years since 2016 shows more and more companies are experiencing bankruptcy. The purpose of this study is to know what are the factors causing it...