Assessing the volatility of green firms

Lorán Chollete, Keener Hughen, Ching-Chih Lu and Weijia Peng

Finance Research Letters, 2024, vol. 64, issue C

Abstract: Environmentally responsible (‘green’) firms have important asset pricing implications. Whilst green firms’ performance has been formally studied in terms of returns and pricing (Bolton and Kacperczyk, 2022; Pástor et al., 2022), far less is known about their volatility. We analyze the volatility of green and brown firms from 2012 to 2021, through the multiple lens of GARCH, machine learning, and historical volatility. The unconditional volatilities of brown and green firms are similar. The forecasting of volatility, however, differs sharply between green and brown firms: it is much harder to forecast green firms’ volatility.

Keywords: Green firms; Machine learning; Forecasting; Volatility (search for similar items in EconPapers)
JEL-codes: C58 G11 G12 G14 (search for similar items in EconPapers)
Date: 2024
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Persistent link: https://EconPapers.repec.org/RePEc:eee:finlet:v:64:y:2024:i:c:s1544612324004021

DOI: 10.1016/j.frl.2024.105372

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