Robust block bootstrap panel predictability tests

Stephan Smeekes, Joakim Westerlund*

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

Abstract

This article develops two block bootstrap-based panel predictability test procedures that are valid under very general conditions. Some of the allowable features include cross-sectional dependence, heterogeneous predictive slopes, persistent predictors, and complex error dynamics, including cross-unit endogeneity. While the first test procedure tests if there is any predictability at all, the second procedure determines the units for which predictability holds in case of a rejection by the first. A weak unit root framework is adopted to allow persistent predictors, and a novel theory is developed to establish asymptotic validity of the proposed bootstrap. Simulations are used to evaluate the performance of our tests in small samples, and their implementation is illustrated through an empirical application to stock returns.
Original languageEnglish
Pages (from-to)1089-1107
Number of pages19
JournalEconometric Reviews
Volume38
Issue number9
DOIs
Publication statusPublished - 21 Oct 2019

Keywords

  • Block bootstrap
  • panel data
  • predictive regression
  • sequential testing
  • stock return predictability
  • weak unit roots

Cite this

Smeekes, Stephan ; Westerlund, Joakim. / Robust block bootstrap panel predictability tests. In: Econometric Reviews. 2019 ; Vol. 38, No. 9. pp. 1089-1107.
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Robust block bootstrap panel predictability tests. / Smeekes, Stephan; Westerlund, Joakim.

In: Econometric Reviews, Vol. 38, No. 9, 21.10.2019, p. 1089-1107.

Research output: Contribution to journalArticleAcademicpeer-review

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