Journal article 105 views 11 downloads
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
-
PDF | Accepted Manuscript
Author accepted manuscript document released under the terms of a Creative Commons CC-BY licence using the Swansea University Research Publications Policy (rights retention).
Download (432.86KB)
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 |
|---|---|
| ISSN: | 1057-5219 |
| Published: |
Elsevier BV
2024
|
| Online Access: |
Check full text
|
| URI: | https://cronfa.swan.ac.uk/Record/cronfa65445 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Keywords: |
Artificial intelligence; Clean energy; Tail risk; Quantile time-frequency; Wavelet; Quantile granger causality |
|---|---|
| College: |
Faculty of Humanities and Social Sciences |
| Start Page: |
103073 |