摘要
本文从金融-宏观经济学视角出发,运用DRA模型研究了潜在变量、宏观变量与利率期限结构之间的动态关系。通过脉冲响应函数分析了潜在变量与宏观变量之间的相互冲击效应的大小,以及潜在变量、宏观变量对收益率曲线冲击的影响,借助于方差分解量化了潜在变量、宏观变量冲击对收益率曲线预测误差的贡献率,并利用似然比检验,发现中国的收益率曲线与宏观变量之间存在双向的互动关系,但收益率曲线对未来宏观变量的影响更强。
From the financial and maeroeconomic perspective, this paper employs DRA model to study on the relationship between latent variables, macroeconomic variables and the term structure of interest rates. The impulse -response function is used to show the mutual shock effects between latent variables and maeroeconomie variables as well as the shocks to yield curves. We also use variance decomposition to analyze the contributions of latent variables and macroeconomic variables to the proportions of yield forecasting variance. LR test shows there exists dynamic interactions between the macroeconomy and the yield curves, however, the influence of the yield curve is much stronger.
出处
《经济评论》
CSSCI
北大核心
2010年第1期80-88,共9页
Economic Review
关键词
潜在变量
宏观变量
利率期限结构
脉冲响应
方差分解
Latent Variables
Macroeconomic Variables
Term Structure of Interest Rates
Impulse - response Function
Variance Decomposition