Term Structure Forecasting: No-arbitrage Restrictions Versus Large Information set-Wang Yanan Institute for Studies in Economics (WISE), Xiamen University

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作者	Carlo A. Favero, Linlin Niu, Luca Sala
正文	This paper addresses the issue of forecasting the term structure. We provide a unified state-space modelling framework that encompasses different existing discrete-time yield curve models. Within such framework we analyze the impact of two modelling choices, namely the imposition of no-arbitrage restrictions and the size of the information set used to extract factors, on the forecasting performance. Using US yield curve data, we find that both no-arbitrage and large info help in forecasting but no model uniformly dominates the other. No-arbitrage models are more useful at shorter horizon for shorter maturities. Large information sets are more useful at longer horizons and longer maturities. We also find evidence for a significant feedback from yield curve models to macroeconomic variables that could be exploited for macroeconomic forecasting.
JEL-Codes：	C33, C53, E43, E44
关键词：	Yield curve, term structure of interest rates, forecasting, large data set, factor models