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...

This paper aims to focus on the comparison of the artificial neural network model and logistic regression model in the prediction of companies' bankruptcy in Tehran stock exchange (TSE) in 3, 2 and 1 year in advance. This study exercises an analytic-mathematical approach which has been utilized...

This study aimed to establish the financial distress prediction in a public company listed on the Jakarta Stock Exchange specifically incorporated in the trading industry. The samples used in research are all public companies incorporated in the trading industry 2002-2006 period. This study used...