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Mind the (Convergence) Gap: Bond Predictability Strikes Back!

Authors :
Andrea Berardi
Andrea Tamoni
Alberto Plazzi
Michael Markovich
Source :
Management Science. 67:7888-7911
Publication Year :
2021
Publisher :
Institute for Operations Research and the Management Sciences (INFORMS), 2021.

Abstract

We show that the difference between the natural rate of interest and the current level of monetary policy stance, which we label Convergence Gap (CG), contains information that is valuable for bond predictability. Adding CG in forecasting regressions of bond excess returns significantly raises the R2, and restores countercyclical variation in bond risk premia that is otherwise missed by forward rates. Consistent with the argument that CG captures the effect of real imbalances on the path of rates, our factor has predictive ability for real bond excess returns. The importance of the gap remains robust out-of-sample and in countries other than the United States. Furthermore, its inclusion brings significant economic gains in the context of dynamic conditional asset allocation. This paper was accepted by Gustavo Manso, finance.

Details

ISSN :
15265501 and 00251909
Volume :
67
Database :
OpenAIRE
Journal :
Management Science
Accession number :
edsair.doi.dedup.....97010ef276a2a55322aea2a7c2cb8a41