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Gray Mining And Securities Analysis Applied Research

Posted on:2004-09-06Degree:MasterType:Thesis
Country:ChinaCandidate:Z W GuFull Text:PDF
GTID:2206360122970713Subject:Technical Economics and Management
Abstract/Summary:PDF Full Text Request
Securities Analysis is the groundwork of securities investment. However, what investors really care about is how to make most money with least risk. There are many qualitative or quantitative theories and practices focusing on securities analysis, these methods each have their own characteristics and application fields. This paper attempts to integrate traditional Grey System Theories into Data Mining and apply the new hybrid method (models) which I call it Grey-Mining to direct our securities analysis.Now, Grey System Theories and Data Mining application have accomplished many achievements home and abroad. But there are many aspects left needing more deep studies. As for grey-mining, it' s even brought forward for the first time and its applications are seldom seen on periodicals. This paper will bound Grey System Theories with Data Mining technologies and build a Grey-mining system based on former achievements. We also build a series of models, including grey association model, grey-cluster model, grey prediction model, grey-neural-network model, grey-Markoff model, grey-sequence model, etc. Besides these, the author also apply these models in securities basic analysis and technological analysis.I believe my studies are not only application innovations to the Grey-mining, but also a useful complementarity to traditional statistics in securities analysis.
Keywords/Search Tags:Grey Mining, Securities Analysis, Grey System Theory, Data Mining
PDF Full Text Request
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