Please use this identifier to cite or link to this item: http://hdl.handle.net/10419/62930
Authors: 
Carriero, Andrea
Year of Publication: 
2007
Series/Report no.: 
Working Paper, Department of Economics, Queen Mary, University of London 612
Abstract: 
In this paper we propose a strategy for forecasting the term structure of interest rates which may produce significant gains in predictive accuracy. The key idea is to use the restrictions implied by Affine Term Structure Models (ATSM) on a vector autoregression (VAR) as prior information rather than imposing them dogmatically. This allows to account for possible model misspecification. We apply the method to a system of five US yields, and we find that the gains in predictive accuracy can be substantial. In particular, for horizons longer than 1-step ahead, our proposed method produces systematically better forecasts than those obtained by using a pure ATSM or an unrestricted VAR, and it also outperforms very competitive benchmarks as the Minnesota prior, the Diebold-Li (2006) model, and the random walk.
Subjects: 
Bayesian methods
Forecasting
Term structure
JEL: 
C11
C53
E43
E47
Document Type: 
Working Paper

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