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Herding in the Chinese renewable energy market: Evidence from a bootstrapping time-varying coefficient autoregressive model

Boru Ren Orcid Logo, Brian Lucey Orcid Logo

Energy Economics, Volume: 119, Start page: 106526

Swansea University Author: Boru Ren Orcid Logo

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DOI (Published version): 10.1016/j.eneco.2023.106526

Abstract

In this paper, we examine the herd behaviour of the Chinese renewable energy sector using both static and time-varying coefficient models. Examining daily data from January 05, 2015 to April 29, 2022, we find strong evidence of herding behaviour changing over time in this market. We find that herdin...

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Published in: Energy Economics
ISSN: 0140-9883
Published: Elsevier BV 2023
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URI: https://cronfa.swan.ac.uk/Record/cronfa64718
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first_indexed 2023-10-17T17:16:38Z
last_indexed 2023-10-17T17:16:38Z
id cronfa64718
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spelling v2 64718 2023-10-11 Herding in the Chinese renewable energy market: Evidence from a bootstrapping time-varying coefficient autoregressive model 73321f2d7e2e1c7bd4be9bf6d47fd2a2 0000-0001-8647-9689 Boru Ren Boru Ren true false 2023-10-11 BAF In this paper, we examine the herd behaviour of the Chinese renewable energy sector using both static and time-varying coefficient models. Examining daily data from January 05, 2015 to April 29, 2022, we find strong evidence of herding behaviour changing over time in this market. We find that herding asymmetry is more pronounced during up markets and among smaller firms. When within-industry herding weakens, large price movements in the overall stock market provide additional trading signals for herding formation in this sector. Journal Article Energy Economics 119 106526 Elsevier BV 0140-9883 Herd behaviour, New energy, Clean energy, Time-varying, Stock market effect 31 3 2023 2023-03-31 10.1016/j.eneco.2023.106526 http://dx.doi.org/10.1016/j.eneco.2023.106526 COLLEGE NANME Accounting and Finance COLLEGE CODE BAF Swansea University 2023-11-27T15:38:57.7062187 2023-10-11T14:47:29.7647935 Faculty of Humanities and Social Sciences School of Management - Accounting and Finance Boru Ren 0000-0001-8647-9689 1 Brian Lucey 0000-0002-4052-8235 2
title Herding in the Chinese renewable energy market: Evidence from a bootstrapping time-varying coefficient autoregressive model
spellingShingle Herding in the Chinese renewable energy market: Evidence from a bootstrapping time-varying coefficient autoregressive model
Boru Ren
title_short Herding in the Chinese renewable energy market: Evidence from a bootstrapping time-varying coefficient autoregressive model
title_full Herding in the Chinese renewable energy market: Evidence from a bootstrapping time-varying coefficient autoregressive model
title_fullStr Herding in the Chinese renewable energy market: Evidence from a bootstrapping time-varying coefficient autoregressive model
title_full_unstemmed Herding in the Chinese renewable energy market: Evidence from a bootstrapping time-varying coefficient autoregressive model
title_sort Herding in the Chinese renewable energy market: Evidence from a bootstrapping time-varying coefficient autoregressive model
author_id_str_mv 73321f2d7e2e1c7bd4be9bf6d47fd2a2
author_id_fullname_str_mv 73321f2d7e2e1c7bd4be9bf6d47fd2a2_***_Boru Ren
author Boru Ren
author2 Boru Ren
Brian Lucey
format Journal article
container_title Energy Economics
container_volume 119
container_start_page 106526
publishDate 2023
institution Swansea University
issn 0140-9883
doi_str_mv 10.1016/j.eneco.2023.106526
publisher Elsevier BV
college_str Faculty of Humanities and Social Sciences
hierarchytype
hierarchy_top_id facultyofhumanitiesandsocialsciences
hierarchy_top_title Faculty of Humanities and Social Sciences
hierarchy_parent_id facultyofhumanitiesandsocialsciences
hierarchy_parent_title Faculty of Humanities and Social Sciences
department_str School of Management - Accounting and Finance{{{_:::_}}}Faculty of Humanities and Social Sciences{{{_:::_}}}School of Management - Accounting and Finance
url http://dx.doi.org/10.1016/j.eneco.2023.106526
document_store_str 0
active_str 0
description In this paper, we examine the herd behaviour of the Chinese renewable energy sector using both static and time-varying coefficient models. Examining daily data from January 05, 2015 to April 29, 2022, we find strong evidence of herding behaviour changing over time in this market. We find that herding asymmetry is more pronounced during up markets and among smaller firms. When within-industry herding weakens, large price movements in the overall stock market provide additional trading signals for herding formation in this sector.
published_date 2023-03-31T15:38:58Z
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score 11.012678

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