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Based on the forefathers' research, this paper made an empirical study on reason of financial distress. We chose the panel data of new ST companies between 2004 and 2006 and used the method of Logistic regression to find the result. The empirical results indicated that not all the countermeasures we chosen are effective. At last, we got our conclusion that the indicators of current ratio, cash flow...
Based on a lot of related literatures, the authors suggest a Financial Distress Prediction System incorporated the Expected Default Frequency (EDF) into Logit regression model. The empirical findings suggest that the EDF calculated by KMV model is significantly associated with the probability of default in both 3rd and 4th quarters prior to the financial crisis of sample firms. Thus, an incorporation...
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 so they can take appropriate measures with these warnings. The aim of this study is model development for financial distress prediction of listed companies in Tehran stocks...
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