Predict The Churn and Silent Customers: A Case Study of Individual Investors

摘要：

In a typical brokerage firm, most customers are silent or churn investors. However, the prediction of silent investors did not gain enough attention. Based on the CRISP-DM data mining framework and decision tree algorithm, two models are proposed for churn and silent investors respectively. The tree models show that low return rate results in the silent investors, and the fund transfer pattern is of the most importance in both models. Retention strategies are provided based on the behavioral finance theory and the two models misclassification rate.

关键词： churn investor silent investor prediction decistion tree broker CRISP-DM

作者: PAN YAN CHEN YUN XIN YI

作者单位: School of Public Economics and Administration,Shanghai University of Finance and Economics Shanghai, Department of Information Management Shanghai Finance University Shanghai,China

会议类型: 国际会议

会议名称: 2009 IEEE International Conference on Intelligent Computing and Intelligent Systems(2009 IEEE 智能计算与智能系统国际会议)

会议地点: 上海

会议语种:英文

页码: 658-662

在线出版日期: 2009-11-20（万方平台首次上网日期，不代表论文的发表时间）