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

Andrea Berardi, Michael Markovich, Alberto Plazzi, Andrea Tamoni

Research output: Contribution to journalArticlepeer-review

4 Scopus citations

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-ofsample and in countries other than the United States. Furthermore, its inclusion brings significant economic gains in the context of dynamic conditional asset allocation.

Original languageEnglish (US)
Pages (from-to)7888-7911
Number of pages24
JournalManagement Science
Volume67
Issue number12
DOIs
StatePublished - Dec 2021

All Science Journal Classification (ASJC) codes

  • Strategy and Management
  • Management Science and Operations Research

Keywords

  • Bond predictability
  • Bond risk premia
  • Forward rates
  • Monetary policy
  • Natural rate of interest

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