Out-of-sample equity premium predictability and sample split--invariant inference

Kolev, Gueorgui and Karapandza, Rasa (2016) Out-of-sample equity premium predictability and sample split--invariant inference. Journal of Banking & Finance, 84 . pp. 188-201. ISSN 0378-4266

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Abstract

For a comprehensive set of 21 equity premium predictors we find extreme variation in out-of-sample predictability results depending on the choice of the sample split date. To resolve this issue we propose reporting in graphical form the out-of-sample predictability criteria for every possible sample split, and two out-of-sample tests that are invariant to the sample split choice. We provide Monte Carlo evidence that our bootstrap-based inference is valid. The in-sample, and the sample split invariant out-of-sample mean and maximum tests that we propose, are in broad agreement. Finally we demonstrate how one can construct sample split invariant out-of-sample predictability tests that simultaneously control for data mining across many variables.

Item Type: Article
Research Areas: A. > Business School > Economics
Item ID: 20754
Useful Links:
Depositing User: Gueorgui Kolev
Date Deposited: 19 Oct 2016 09:59
Last Modified: 06 Oct 2017 13:31
URI: http://eprints.mdx.ac.uk/id/eprint/20754

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