Work

Measuring the extreme linkages and time-frequency co-movements among artificial intelligence and clean energy indices

Year: 2024

Type: article

Source: International Review of Financial Analysis

DOI: 10.1016/j.irfa.2024.103073

Authors: Hongjun Zeng, Mohammad Zoynul Abedin, Xiangjing Zhou, Ran Lu

Institutions: RMIT University, Swansea University, Guangxi Technology and Business Vocational College, Swinburne University of Technology

Language: English

Topic: Market Dynamics and Volatility

Subfield: Economics and Econometrics

Field: Economics, Econometrics and Finance

Domain: Social Sciences

SDGs: Climate action, Industry, innovation and infrastructure

Open Access status: green

OpenAlex ID: W4390725733

FWCI: 30.23

Cites: 61

Cited by: 85

Related to: 10