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Intelligent Technology Based Stock Evaluation Model And Its Application

Posted on:2007-11-11Degree:MasterType:Thesis
Country:ChinaCandidate:Y S HuangFull Text:PDF
GTID:2179360182478426Subject:Control theory and control engineering
Abstract/Summary:PDF Full Text Request
With continuously economic development of our country, and more supports on securities market put forward by financial policy, large quantity of investors such as investment funds, securities company, insurance company, property management company of bank and individual investor are continually flooding into stock marketing. So the problem of stock evaluation is the core problem for securities market in recent years. Now China has joined to WTO and more and more QFIIs have come to capital market of China. Under this economy background, it is especially important to study and establish stock evaluation model which can adapt to our securities market.Base on the illumination of some classic evaluation theories and models from overseas, with adopting intelligent information processing technology, and discussing all kinds of corporations and marketing factors which affect stock evaluation, we present the estimation method on corporation evaluation, stock evaluation model of same industry, and dynamic stock evaluation model. All the methods and models are verified by the real market data with ideal results. They can be the reference in stock evaluation.First, we introduce the background of our securities market and some characteristics of intelligent technology. In addition, we classify classical methods of stock evaluation overseas, and sketched their merits and shortcomings in our securities market.Second, we put forward stock-evaluation-based property index system of corporation value, according to the stock inside value theory. And, we establish corporation value evaluation model of catastrophe theory on the basis of financial index.Third, according to the four-main factors that affect stock evaluation, weestablish PCA-Neural Network-based stock evaluation model. By instance imitation, we comparative the model with price/earning ratio model.Fourth, according to the PCA-Neural Network-based stock evaluation model, we continually analyze the reasons why evaluation will change. Based on the financially dynamic index, we establish the dynamic stock evaluation model.Finally, on the basis of summarizing the whole thesis, we discuss some problems which need study further and improve more. Moreover, we look forward to the perspective of stock evaluation in our security market.Yingsong Huang (Control Theory and Control Engineering)Supervised by Associate Professor Lihong Ren and Professor Yongsheng Ding...
Keywords/Search Tags:Stock Evaluation, Intelligent Technology, Neural Network, Evaluation Index System, Catastrophe Theory, Factor Analysis, Price/Earning Ratio
PDF Full Text Request
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