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

A-Tier
Journal: Energy Economics
Year: 2023
Volume: 119
Issue: C

Score contribution per author:

2.011 = (α=2.01 / 2 authors) × 2.0x A-tier

α: calibrated so average coauthorship-adjusted count equals average raw count

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.

Technical Details

RePEc Handle
repec:eee:eneeco:v:119:y:2023:i:c:s0140988323000245
Journal Field
Energy
Author Count
2
Added to Database
2026-01-25