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Measuring the extreme linkages and time-frequency co-movements among artificial intelligence and clean energy indices
Hongjun Zeng,
Mohammad Abedin,
Xiangjing Zhou,
Ran Lu
International Review of Financial Analysis, Volume: 92, Start page: 103073
Swansea University Author: Mohammad Abedin
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DOI (Published version): 10.1016/j.irfa.2024.103073
Abstract
Measuring the extreme linkages and time-frequency co-movements among artificial intelligence and clean energy indices
| Published in: | International Review of Financial Analysis |
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| ISSN: | 1057-5219 |
| Published: |
Elsevier BV
2024
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| Online Access: |
Check full text
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| URI: | https://cronfa.swan.ac.uk/Record/cronfa65445 |
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| Keywords: |
Artificial intelligence; Clean energy; Tail risk; Quantile time-frequency; Wavelet; Quantile granger causality |
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| College: |
Faculty of Humanities and Social Sciences |
| Start Page: |
103073 |