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Investigating the dynamics of crude oil and clean energy markets in times of geopolitical tensions

Nidhaleddine Ben Cheikh and Younes Ben Zaied

Energy Economics, 2023, vol. 124, issue C

Abstract: This study examines how adverse geopolitical events influence the dynamics of crude oil and clean energy markets. A vector smooth transition regression model is implemented to capture the presence of regime shifts due to geopolitical conflicts. The impulse response analyses reveal that the crude oil market is non-responsive to all geopolitical events. A significant spike in oil prices arises only if risks associated with geopolitical tensions surpass a certain threshold level. The green equity market responds differently, showing an adverse reaction during episodes of higher geopolitical uncertainty. Moreover, our empirical results point out a decoupling between traditional and clean energy sectors in times of geopolitical stress. Our findings contrast with the conventional wisdom that a surge in oil prices would foster a shift toward alternative energies. While the observed disconnection would offer better diversification benefits, it is challenging for policymakers to encourage investors to maintain low-carbon portfolios.

Keywords: Clean energy stocks; Oil prices; Geopolitical risk; Vector smooth transition regression model (search for similar items in EconPapers)
JEL-codes: C32 G11 G12 Q42 Q43 (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:eneeco:v:124:y:2023:i:c:s0140988323003596

DOI: 10.1016/j.eneco.2023.106861

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Energy Economics is currently edited by R. S. J. Tol, Beng Ang, Lance Bachmeier, Perry Sadorsky, Ugur Soytas and J. P. Weyant

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