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- W2358848259 abstract "With the sign of whether the corporation is ″special treated″ or not,the thesis uses the financial data of China's listed companies in recent years and selects the initial samples which are composed of 100 enterprises with 50 firms in each of the two groups.This paper firstly discusses the data characteristics and the differences of predictor variables between the two groups for up to three years prior to the failure event.Then the study uses Factor Analysis to reduce data,and establishes Logistic Regression Model.Lastly,the research tests 40 firms of the holdout samples by Logistic Regression Model.The results are as the following:firstly,financial ratios aren't identical to the normal distribution.Secondly,the accounting data are not imprecise,but they show some information.Lastly,the model by Logistic Regression can yield an high overall correct classification accuracy for one and two years prior to failure to the initial samples.The model is validated by using the holdout samples,the overall correct classification of the model for the first year to two year prior to distress is also very high." @default.
- W2358848259 created "2016-06-24" @default.
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- W2358848259 date "2008-01-01" @default.
- W2358848259 modified "2023-09-23" @default.
- W2358848259 title "Empirical Research on Financial Distress Prediction of the Listed Companies" @default.
- W2358848259 hasPublicationYear "2008" @default.
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