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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 inputtingdoi:10.12973/ejmste/78104 fatcat:ug75jxc5sfapdhyfemfucha73i