Economy-energy markets nexus during COVID-19: A dynamic time-frequency analysis

We investigate dynamics between the economic activities and energy markets-both conventional and clean energy markets, with a sample of daily data from 1 January 2020 to 25 November 2020. We perform wavelet-based time-frequency techniques and measure the market volatility with continuous wavelet tra...

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Main Authors: Mahi, Masnun, Khan, Shamim Ahmed, Zainuddin, Mohammad, Arif, Ishtiaque
Format: Article
Published: SAGE Publications 2022
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Online Access:http://eprints.um.edu.my/41513/
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spelling my.um.eprints.415132023-11-06T03:14:00Z http://eprints.um.edu.my/41513/ Economy-energy markets nexus during COVID-19: A dynamic time-frequency analysis Mahi, Masnun Khan, Shamim Ahmed Zainuddin, Mohammad Arif, Ishtiaque GE Environmental Sciences We investigate dynamics between the economic activities and energy markets-both conventional and clean energy markets, with a sample of daily data from 1 January 2020 to 25 November 2020. We perform wavelet-based time-frequency techniques and measure the market volatility with continuous wavelet transforms. Besides, we use wavelet coherency to understand the co-movement of economic activities and energy markets and employ a nonlinear phase-difference technique to understand the time-varying causality between different series. Our continuous wavelet transform results show that all three market indices experience significant volatility in the coronavirus disease (COVID-19) period, notably during the initial period of the outbreak. The market volatilities are comparatively more substantial in the lower frequency band than the upper frequency, while the latter sustained longer in the markets. Moreover, wavelet coherency results show a strong correlation between the economic activity index and both energy market indices; however, the co-movement is significantly higher for the conventional energy market than the clean energy market. We further detect a positive and bi-directional causality between economic activities and energy market indices. Besides providing fresh and time-varying and frequency-varying relationship between global economic activities and the energy markets, which is currently lacking in the existing literature, our study has significant implications for the heterogeneous market participants in terms of improved price prediction accuracy. Furthermore, our findings can aid policymakers in decision making by showing that the dynamics between energy markets and economic activities change even within a short period, and imply that suitable constant policy interventions are necessary to avoid long-term predicament. SAGE Publications 2022-08 Article PeerReviewed Mahi, Masnun and Khan, Shamim Ahmed and Zainuddin, Mohammad and Arif, Ishtiaque (2022) Economy-energy markets nexus during COVID-19: A dynamic time-frequency analysis. Energy & Environment, 33 (5). pp. 996-1012. ISSN 0958-305X, DOI https://doi.org/10.1177/0958305X211032630 <https://doi.org/10.1177/0958305X211032630>. 10.1177/0958305X211032630
institution Universiti Malaya
building UM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaya
content_source UM Research Repository
url_provider http://eprints.um.edu.my/
topic GE Environmental Sciences
spellingShingle GE Environmental Sciences
Mahi, Masnun
Khan, Shamim Ahmed
Zainuddin, Mohammad
Arif, Ishtiaque
Economy-energy markets nexus during COVID-19: A dynamic time-frequency analysis
description We investigate dynamics between the economic activities and energy markets-both conventional and clean energy markets, with a sample of daily data from 1 January 2020 to 25 November 2020. We perform wavelet-based time-frequency techniques and measure the market volatility with continuous wavelet transforms. Besides, we use wavelet coherency to understand the co-movement of economic activities and energy markets and employ a nonlinear phase-difference technique to understand the time-varying causality between different series. Our continuous wavelet transform results show that all three market indices experience significant volatility in the coronavirus disease (COVID-19) period, notably during the initial period of the outbreak. The market volatilities are comparatively more substantial in the lower frequency band than the upper frequency, while the latter sustained longer in the markets. Moreover, wavelet coherency results show a strong correlation between the economic activity index and both energy market indices; however, the co-movement is significantly higher for the conventional energy market than the clean energy market. We further detect a positive and bi-directional causality between economic activities and energy market indices. Besides providing fresh and time-varying and frequency-varying relationship between global economic activities and the energy markets, which is currently lacking in the existing literature, our study has significant implications for the heterogeneous market participants in terms of improved price prediction accuracy. Furthermore, our findings can aid policymakers in decision making by showing that the dynamics between energy markets and economic activities change even within a short period, and imply that suitable constant policy interventions are necessary to avoid long-term predicament.
format Article
author Mahi, Masnun
Khan, Shamim Ahmed
Zainuddin, Mohammad
Arif, Ishtiaque
author_facet Mahi, Masnun
Khan, Shamim Ahmed
Zainuddin, Mohammad
Arif, Ishtiaque
author_sort Mahi, Masnun
title Economy-energy markets nexus during COVID-19: A dynamic time-frequency analysis
title_short Economy-energy markets nexus during COVID-19: A dynamic time-frequency analysis
title_full Economy-energy markets nexus during COVID-19: A dynamic time-frequency analysis
title_fullStr Economy-energy markets nexus during COVID-19: A dynamic time-frequency analysis
title_full_unstemmed Economy-energy markets nexus during COVID-19: A dynamic time-frequency analysis
title_sort economy-energy markets nexus during covid-19: a dynamic time-frequency analysis
publisher SAGE Publications
publishDate 2022
url http://eprints.um.edu.my/41513/
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score 13.18916