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Based up on accounting information of the listed companies on China's A-Share Market, this article attempts to establish a financial crisis early-warning model which is capable of predicting company financial crisis while analyzing the causation of such crisis by adopting a distance discriminant analysis. Compared with the previous research concerned, the said model comprises the following: integrity...
This paper takes the listed SME of which total stock issue is less than four hundred million in Shanghai and Shenzhen main board stock market of manufacturing industry as research object, selects 40 Special Treatment (ST) Enterprises and 40 Non- Special Treatment (Non- ST) Enterprises as samples, screens out the variable which has marked influence on financial crisis by T Test and factor analysis,...
The global financial crisis, triggered by the U.S. subprime mortgage in 2007, has seriously affected the development of China's economy, making a large number of Chinese export-oriented enterprises faced with serious problems, such as profit decline, layoffs and even bankruptcy. This paper is set under the background of this global financial crisis and aiming at extracting implicit risk factors of...
SVM based model is constructed for predicting performances of Chinese listed companies. The paper firstly uses factor analysis, equal value difference test and correlation test to sieve the financial indicators and corporate governance variables separately for representative variables, and then uses the method of support vector machine for an empirical analysis. The research shows the model of SVM...
To overcome the shortages of the existing financial prediction models such as strict hypothesis, poor generalization ability, low prediction accuracy and low learning rate etc., a new early warning model of financial crisis have established for listed company using Extreme Learning Machine. From five dimensions of solvency, operating-ability, profitability, cash-ability and grow-ability, fifteen financial...
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