Alkathery, M, Chaudhuri, K orcid.org/0000-0002-7492-1369 and Nasir, MA orcid.org/0000-0003-2779-5854 (2023) Dependence between the GCC energy equities, global clean energy and emission markets: Evidence from wavelet analysis. Energy Economics, 121. 106659. ISSN 0140-9883
Abstract
In the context of the debate on energy transition and its implication for the energy-export-dependent GCC region, this study developed a dependence structure using a multiscale approach of wavelets to investigate the impact of global clean energy production, oil price and CO2 emission prices on the energy stock markets of the largest three oil exporters in the GCC region: Saudi, UAE and Kuwait. Our key findings indicate that the three global energy markets are weakly and positively correlated with the GCC energy stock prices at lower frequencies (higher scales). Besides, at the same level of frequencies, we found that changes in the global clean energy production index and CO2 emission price positively influence the three GCC energy stock prices. Oil price is a stronger moderator for the three GCC energy equities at lower frequencies relative to other variables, especially for Kuwait's energy stock price. We also discover that the Abu Dhabi energy index is more sensitive to swings in the three perspective markets compared to Saudi and Kuwait energy markets. These findings carry important implications and guidelines for policymakers, portfolio managers and scholars who attempt to understand the dynamic nexus between GCC energy sectors stock, global transition to clean energy and pricing emissions.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2023 The Authors. Published by Elsevier B.V. This is an open access article distributed under the terms of the Creative Commons CC-BY license, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
Keywords: | EU-ETS, Energy transition, Oil price, GCC, CO2 emissions, Clean energy, Wavelet analysis, Stock market |
Dates: |
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Institution: | The University of Leeds |
Depositing User: | Symplectic Publications |
Date Deposited: | 04 Apr 2023 09:46 |
Last Modified: | 25 Jun 2023 23:18 |
Status: | Published |
Publisher: | Elsevier |
Identification Number: | 10.1016/j.eneco.2023.106659 |
Related URLs: | |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:197952 |
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