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Type: Journal article
Title: Linkages between oil price shocks and stock returns revisited
Author: Masson, V.
Doko Tchatoka, F.
Parry, S.
Citation: Energy Economics, 2019; 82:42-61
Publisher: Elsevier
Issue Date: 2019
ISSN: 0140-9883
Statement of
Firmin Doko Tchatoka, Virginie Masson, Sean Parry
Abstract: In this paper, we revisit the debate on the relationship between oil price shocks and stock market returns by replicating the quantile-on-quantile (QQ) regression model for the US stock market in Sim and Zhou (2015, Journal of Banking and Finance), and extending it to 15 countries. The classification of these countries as oil importers or oil exporters depends on their net position in crude oil trade. Our results indicate that the main finding by Sim and Zhou (2015) that large negative oil price shocks can bolster stock returns when markets are performing well is only partially supported by the three largest oil importers in our sample – China, Japan and India – during the period 1988:1–2007:12. However, when extending the study to more recent data (period 1988:1–2016:12), we find that China and India experience higher returns when markets perform well and there is a large positive oil price shock. Also, large positive oil price shocks often lead to higher stock market returns when markets perform well for both oil exporting countries – Canada, Russia, Norway – and moderately oil dependent countries – such as Malaysia, Philippines and Thailand. In most cases large negative oil price shocks depress further already poorly performing markets, as in Sim and Zhou (2015). These findings highlight that the relationship between the distributions of oil price shocks and stock market returns is not stable over time in most countries studied. Furthermore, the asymmetric effect between positive and negative oil price shocks observed in the US market by Sim and Zhou (2015) is less evident in most countries for both the baseline and extended periods.
Keywords: Oil prices; stock returns; quantile regression
Rights: © 2018 Elsevier B.V. All rights reserved.
DOI: 10.1016/j.eneco.2018.02.016
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