基于词向量方法的股市投资者风险感知维度研究

Research on the Dimensions of Stock Market Investors'Risk Perception Based on Word Vector Method

风险感知是影响投资者决策行为的关键因素,故剖析投资者风险感知有助于政府及监管部门正确引导投资者的投资行为。区别于以往预设金融风险感知维度,通过问卷调查获取数据,采用主成分分析、因子分析等方法探索投资者风险感知维度的研究,本文基于金融平台上的投资者在线评论大数据,采用词向量方法对大数据进行处理,挖掘投资者风险感知维度。研究发现投资者风险感知可划分为市场风险、社会风险、心理风险和财务风险四个主要维度,其中投资者对于市场风险的感知水平最高,其次是投资者的心理风险感知,如投资者的焦虑、不安等心理状况,再次是投资者对社会风险的感知,通常在社会中发生重大事件时较为明显,最后财务风险也是投资者风险感知的重要维度。

Risk perception is a key factor that affects investors'decision-making behaviors.Analyzing the risk perception of investors helps the government and regulatory authorities to correctly guide investors'investment behav ior.Different from the previous preset financial risk perception dimensions,the data is obtained through questionnaire surveys,and principal component analysis,factor analysis and other methods are used to explore the research on investor risk perception dimensions.Based on online reviews of big data from financial platforms,this article excavates the dimensions of investor risk perception by Word Vector Methods.Investor risk perception can be divided into four main dimensions:market risk,social risk,psychological risk,and financial risk.Investors have the highest level of market risk perception,followed by their psychological risk perception,such as investor anxiety.Such psychological conditions are again investors'perception of social risks,which are usually more obvious when major events occur in society.Finally,financial risks are also an important dimension of investors'perception of risks.