Herding in the Chinese renewable energy market: Evidence from a bootstrapping time-varying coefficient autoregressive model
| dc.contributor.author | Ren,Boru | |
| dc.contributor.author | Lucey,Brian | |
| dc.date.accessioned | 2024-05-23T07:39:27Z | |
| dc.date.available | 2024-05-23T07:39:27Z | |
| dc.date.issued | 2023-03 | |
| dc.description.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 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. Keywords: Coefficient models, Renewable energy sector, Industry herding weakens, Trading signals, Herding formation | en |
| dc.identifier.citation | Ren, Boru, and Brian Lucey. "Herding in the Chinese renewable energy market: Evidence from a bootstrapping time-varying coefficient autoregressive model." Energy Economics 119 (2023): 106526. | |
| dc.identifier.doi | https://doi.org/10.1016/j.eneco.2023.106526 | |
| dc.identifier.uri | https://dspace.adu.ac.ae/handle/1/5367 | |
| dc.language.iso | en | |
| dc.publisher | Elsevier | |
| dc.title | Herding in the Chinese renewable energy market: Evidence from a bootstrapping time-varying coefficient autoregressive model | |
| dc.type | Article |