open access publication

Article, Early Access, 2023

Predicting Bond Return Predictability

MANAGEMENT SCIENCE, ISSN 0025-1909, 0025-1909, 10.1287/mnsc.2023.4713

Contributors

Borup, Daniel (Corresponding author) [1] Eriksen, Jonas N. 0000-0002-8351-0940 [1] [2] Kjaer, M. M. [1] [2] Thyrsgaard, Martin [3]

Affiliations

  1. [1] Aarhus Univ, Dept Econ & Business Econ, DK-8210 Aarhus V, Denmark
  2. [NORA names: AU Aarhus University; University; Denmark; Europe, EU; Nordic; OECD];
  3. [2] Danish Finance Inst, DK-2000 Frederiksberg, Denmark
  4. [NORA names: Miscellaneous; Denmark; Europe, EU; Nordic; OECD];
  5. [3] InCommod AS, DK-8200 Aarhus N, Denmark
  6. [NORA names: Other Companies; Private Research; Denmark; Europe, EU; Nordic; OECD]

Abstract

This paper provides empirical evidence on predictable time variations in out-of sample bond return predictability. Bond return predictability is associated with periods of high (low) economic activity (uncertainty), which implies that violations of the expectations hypothesis are state dependent and linked to features of the business cycle. These state dependencies in predictability, established by introducing a new multivariate test for equal conditional predictive ability, can be used in real time to improve out-of-sample bond risk premia estimates and investors' economic utility through a novel dynamic forecast combination scheme that uses predicted forecasting performance to identify the best set of methods to include in the combined forecast. Dynamically combined forecasts exhibit strong countercyclical behavior and peak during recessions.

Keywords

bond excess returns, equal conditional predictive ability, forecast combination, multivariate test, state dependencies

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