Predictability of Investment Behavior Based on Personal Characteristics about China’s Individual Investors

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 chara...

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Bibliographic Details
Published in:Eurasia Journal of Mathematics, Science and Technology Education Science and Technology Education, 2017-12, Vol.13 (12), p.8331
Main Authors: Lan, Qiujun, Xu, qing, Hu, Xingye
Format: Article
Language:English
Subjects:
Behavior
Behavioral economics
Data mining
Gender
Institutional investments
Personality
Questionnaires
Securities markets
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Summary: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.
ISSN:1305-8223
1305-8215
1305-8223
DOI:10.12973/ejmste/78104