A no-arbitrage vector autoregression of term structure dynamics with macroeconomic and latent variables

被引:703
作者
Ang, A
Piazzesi, M
机构
[1] Natl Bur Econ Res, Cambridge, MA 02138 USA
[2] Univ Calif Los Angeles, Anderson Grad Sch Management, Los Angeles, CA 90095 USA
基金
美国国家科学基金会;
关键词
estimation; time series models; determination of interest rates; financial markets and the macroeconomy; monetary policy;
D O I
10.1016/S0304-3932(03)00032-1
中图分类号
F8 [财政、金融];
学科分类号
0202 ;
摘要
We describe the joint dynamics of bond yields and macroeconomic variables in a Vector Autoregression, where identifying. restrictions are based on the absence of arbitrage. Using a term structure model with inflation and economic growth factors, together with latent variables, we investigate how macro variables affect bond prices and the dynamics of the yield curve. We find that the forecasting performance of a VAR improves when no-arbitrage restrictions are imposed and that models with macro factors forecast better than models with only unobservable factors. Variance decompositions show that macro factors explain up to 85% of the variation in bond yields. Macro factors primarily explain movements at the short end and middle of the yield curve while unobservable factors still account for most of the movement at the long end of the yield curve. (C) 2003 Elsevier Science B.V. All rights reserved.
引用
收藏
页码:745 / 787
页数:43
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