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Nexus of COVID‑19 and carbon prices in the EU emission trading system: evidence from multifractal and the wavelet coherence approaches

Nexus of COVID‑19 and carbon prices in the EU emission trading system: evidence from multifractal and the wavelet coherence approaches
Nexus of COVID‑19 and carbon prices in the EU emission trading system: evidence from multifractal and the wavelet coherence approaches
In this paper, we analyzed the role of carbon pricing as a vital tool for achieving the sustainable energy transition and discussed policy implications for reaching this goal in the era of the COVID-19 pandemic. To investigate the connection and cross-correlation between COVID-19 cases and carbon price returns in EU ETS, we applied two novel approaches: the multifractal detrending moving average cross-correlation (MF-X-DMA) and the Wavelet Coherence techniques. The coverage of data is from 2 March 2020 to 19 March 2021. The results of the MF-X-DMA method show that the cross-correlation is substantial and negatively correlated. Moreover, the results imply the presence of multifractal cross-correlations and that a significant change in the number of COVID-19 cases further impacts carbon price fluctuations. Concerning the Wavelet coherence method results, we can also find a strong (negative) relationship between selected variables, and this strong correlation is observed throughout the whole study period. In addition, we observe that in the first wave of the COVID-19 outbreak, the changes in the COVID-19 cases are leading the CO2 price returns (particularly in the 16-32 time scale). The results of this study can have significant implications for policymakers and contributions for environmental experts and investors.
COVID-19, Carbon pricing, Cross-correlation analysis, EU ETS, Multifractal detrending moving average, Wavelet analysis
0944-1344
41293-41308
Ghazani, Mijid Mirzaee
d8639cef-9c5b-4fc5-b179-cba6d7fb295e
Khosravi, Reza
5780cdc6-9a32-41b6-aab6-6870286dadcd
Barak, Sasan
f82186de-f5b7-4224-9621-a00e7501f2c3
Ghazani, Mijid Mirzaee
d8639cef-9c5b-4fc5-b179-cba6d7fb295e
Khosravi, Reza
5780cdc6-9a32-41b6-aab6-6870286dadcd
Barak, Sasan
f82186de-f5b7-4224-9621-a00e7501f2c3

Ghazani, Mijid Mirzaee, Khosravi, Reza and Barak, Sasan (2022) Nexus of COVID‑19 and carbon prices in the EU emission trading system: evidence from multifractal and the wavelet coherence approaches. Environmental Science and Pollution Research, 29 (27), 41293-41308. (doi:10.1007/s11356-021-18304-6).

Record type: Article

Abstract

In this paper, we analyzed the role of carbon pricing as a vital tool for achieving the sustainable energy transition and discussed policy implications for reaching this goal in the era of the COVID-19 pandemic. To investigate the connection and cross-correlation between COVID-19 cases and carbon price returns in EU ETS, we applied two novel approaches: the multifractal detrending moving average cross-correlation (MF-X-DMA) and the Wavelet Coherence techniques. The coverage of data is from 2 March 2020 to 19 March 2021. The results of the MF-X-DMA method show that the cross-correlation is substantial and negatively correlated. Moreover, the results imply the presence of multifractal cross-correlations and that a significant change in the number of COVID-19 cases further impacts carbon price fluctuations. Concerning the Wavelet coherence method results, we can also find a strong (negative) relationship between selected variables, and this strong correlation is observed throughout the whole study period. In addition, we observe that in the first wave of the COVID-19 outbreak, the changes in the COVID-19 cases are leading the CO2 price returns (particularly in the 16-32 time scale). The results of this study can have significant implications for policymakers and contributions for environmental experts and investors.

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Accepted/In Press date: 20 December 2021
e-pub ahead of print date: 28 January 2022
Published date: 28 January 2022
Additional Information: Publisher Copyright: © 2021, The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature. Copyright: Copyright 2022 Elsevier B.V., All rights reserved.
Keywords: COVID-19, Carbon pricing, Cross-correlation analysis, EU ETS, Multifractal detrending moving average, Wavelet analysis

Identifiers

Local EPrints ID: 455434
URI: http://eprints.soton.ac.uk/id/eprint/455434
ISSN: 0944-1344
PURE UUID: bf2344c3-30de-41d2-8902-19c5435dac1c
ORCID for Sasan Barak: ORCID iD orcid.org/0000-0001-7715-9958

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Date deposited: 21 Mar 2022 17:55
Last modified: 17 Mar 2024 07:10

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Contributors

Author: Mijid Mirzaee Ghazani
Author: Reza Khosravi
Author: Sasan Barak ORCID iD

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