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An Authentic Proof Study On Financial Early Warning Of Listed Company

Posted on:2006-05-24Degree:MasterType:Thesis
Country:ChinaCandidate:G L YanFull Text:PDF
GTID:2166360155965039Subject:Business management
Abstract/Summary:PDF Full Text Request
Lots of examples in the world have proved that the enterprises in distress had the dangerous signs in common. So, finance management which is the important part of the corporate management, requires us to establish a financial early-warning system. The history of securities exchange market in China is short, and the research on financial distress is short, too. With the rapid development of the securities exchange market and the listed companies, the financial early-warning system is getting more and more important to the people who benefits from the listed company. So how to establish an effective enterprise financial early-warning system is the urgent research subject to financial scholar and it is also the innovation project of financial management research.Based on the mature experiences home and abroad, the character of securities exchange market is combined with this dissertation. The public financial data in the listed companies has been selected as samples to build financial distress model. On the basis of combined statements, the system of financial ratios has been set up. The research used the method of Principal Component Analysis and the method of Artificial Neural Net Work to improve the financial early-warning model. The financial report data of 134 companies are processed through Principal Component Analysis method. The formative training sample data are used to train the ANN model.Six maritime companies from Shenzhen Securities Exchange and Shanghai Securities Exchange in China have been applied to forecast the score and the order of the companies. The warning results are good. So this dissertation has the great value。...
Keywords/Search Tags:Financial Early-warning, Financial Ratios, Principal Component Analysis, Artificial Neural Net Work, Authentic Proof Study
PDF Full Text Request
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