摘要
将风险看为一个不可直接测量的潜在变量,考虑采用一些可观测的指标变量来描述风险的模型时,许多股票风险计量的研究大多从定性方面给影响风险的因素以权重系数,而从定量角度给出风险与各因素的回归系数计量多因素风险模型的研究很少。针对这种情况,试用结构方程模型给出了定量研究多因素股票风险计量模型的方法,并作实证分析,结果表明基于结构方程模型的多因素风险计量模型是可行的。
When the risk is regarded as an indirectly measured latent variable which can be described by some index variables. Most of the studies on the stock risk model give the weight coefficients of risk factors by some qualitative methods, and only a few gives the quantitative coefficients. This paper tries to quantitatively study multiple factors of the stock risk model by using the Structural Equation Model, and makes the empirical analysis, the results of which show that the stock risk model based on Structural Equation Model is feasible.
出处
《科技情报开发与经济》
2006年第1期102-104,共3页
Sci-Tech Information Development & Economy
基金
新疆大学科学研究基金资助项目
关键词
结构方程模型
风险
潜变量
指标变量
Structural Equation Model
risk
latent variable
index variable
