This article belongs to the special issue "Problems of Application Analysis in Knowledge Management and Science-Mathematics-Education".
This paper analyzes the relationship between individual investor’s characteristics and behaviors by rank correlation analysis and logistic regression based on more than 20,000 samples of China’ individual investors nationwide collected through online questionnaires. And we select some critical characteristics as input variables to predict investor’s behaviors. The results show that investors’ personal characteristics and their behaviors are closely linked, and the data mining models inputting an investor’s personal characteristics can predict his investment behaviors effectively. These results would help related financial organizations to optimize their customer management, service quality and cost or profit control.
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Article Type: Research Article
EURASIA J Math Sci Tech Ed, 2017, Volume 13, Issue 12, 8331-8341
Publication date: 25 Nov 2017
Article Views: 2688
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