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银行客户投资风险承受能力的分析
引用本文:吕晓玲.银行客户投资风险承受能力的分析[J].数理统计与管理,2007,26(6):1062-1065.
作者姓名:吕晓玲
作者单位:中国人民大学统计学会,北京,100872
摘    要:投资活动在给投资者带来利益的同时也伴随着风险,因此,如何确定影响投资者风险承受能力的主要因素以及如何建立统计模型区分不同风险承受能力的客户就显得十分重要。本文结合定性分析及定量分析两种研究方法对此问题进行了讨论,结果表明投资者的过去与目前的投资行为,对待投资及储蓄的态度,以及本身的工资水平等因素都是影响投资风险承受能力的显著变量。应用这些变量建立的统计模型可以准确预测(约70%)客户的投资风险承受能力。该研究为银行分析其客户投资风险承受能力提供了一个简单有效的参考模式。

关 键 词:银行客户  投资风险承受力  Logistic回归  因子分析
文章编号:1002-1566(2007)06-1112-04
收稿时间:2006-02-24
修稿时间:2006年2月24日

A Study on Bank Customers' Risk Tolerance of Investment
LU Xiao-ling.A Study on Bank Customers'''' Risk Tolerance of Investment[J].Application of Statistics and Management,2007,26(6):1062-1065.
Authors:LU Xiao-ling
Abstract:Investment can reap rich rewards and at the same time it comes with its own risk.So it is very important to know what are the main factors that affect the risk tolerance of investment and to develop models for discriminating customers into different levels of risk tolerance.This article studies the above two questions with both qualitative and quantitative approaches.The results show that the investors' past and current investment behavior,their attitude towards investment and saving,and their salary etc.are significant factors.Statistical models with these factors as explanatory variables can classify the customers into different levels of risk tolerance with a high accuracy(70%).The study provides banks a simple yet effective framework to study their customers' risk tolerance of investment.
Keywords:bank customers  risk tolerance of investment  logistic regression  factor analysis
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