Out-of-sample equity premium predictability and sample split-invariant inference
Kolev, Gueorgui and Karapandza, Rasa (2017) Out-of-sample equity premium predictability and sample split-invariant inference. Journal of Banking & Finance, 84 . pp. 188-201. ISSN 0378-4266 [Article] (doi:10.1016/j.jbankfin.2016.07.017)
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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 |
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Research Areas: | A. > Business School > Economics |
Item ID: | 20754 |
Notes on copyright: | © 2016 The Author(s). Published by Elsevier B.V. The author's accepted manuscript and published version are made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/ |
Useful Links: | |
Depositing User: | Gueorgui Kolev |
Date Deposited: | 19 Oct 2016 09:59 |
Last Modified: | 29 Nov 2022 20:29 |
URI: | https://eprints.mdx.ac.uk/id/eprint/20754 |
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