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Application Of Data Mining Technology And Financial Statement Analysis In Stock Investment

Posted on:2017-12-01Degree:MasterType:Thesis
Country:ChinaCandidate:Q W LiFull Text:PDF
GTID:2349330509953716Subject:Applied Statistics
Abstract/Summary:PDF Full Text Request
With the rapid development of China's economy, Share the product of the western market economy also takes root in China.Every day there are thousands of transactions in the market. When the huge amount of transactions occur,they also bring a lot of financial data.How to obtain useful investment information from the data is a issue worthy of thinking and research. Fortunately, the emergence of data mining technology guides the direction of the research. And a listed company should provides the quarterly report, half report, annual report and other relevant financial information within the stipulated time. Through the analysis of company financial statements, we can obtain some useful information to help us make investment decisions. In this paper,we combine the advantages of data mining and financial statement analysis to improve the efficiency.This paper first introduces the securities market, and basic theoretical knowledge of financial analysis and data mining. Then we use 26 listed companies of the tourism sector and some financial indicators to make clustering analysis. Then we divide them into six catagories. And we choose Zhangjiajie tourism investment group Limited by Share Ltd to do financial analysis.Finally we summarize the paper, mainly including the main content, conclusions, deficiencies and investment advice, etc.
Keywords/Search Tags:cluster analysis, financial statements, stock investment
PDF Full Text Request
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