Renewable Energy Stocks’ Performance and Climate Risk: An Empirical Analysis

Lingyu Li, Xianrong Zheng () and Shuxi Wang
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Lingyu Li: Department of Information Systems, Virginia Commonwealth University, Richmond, VA 23284, USA
Xianrong Zheng: Information Technology & Decision Sciences Department, Old Dominion University, Norfolk, VA 23529, USA
Shuxi Wang: Department of Artificial Intelligence, University of International Business and Economics, Beijing 100029, China

JRFM, 2024, vol. 17, issue 3, 1-15

Abstract: This article studies the relationship between renewable energy stocks’ performance and climate risk. It shows that publicly held renewable energy stocks underperform as a reaction to climate policy information releases, modeled by feed-in tariff (FIT) legislation announcements. The study examined stock price behaviors 2 days before and 30 days after FIT policy announcements. The stock sample used in the study has 3702 firm-day combinations, which included 180 cleantech firms and 32 events from 2007 to 2017. Based on the residual analysis of the sample’s abnormal return, it indicated that the FIT announcements are associated with significant declines in returns. The cumulative abnormal return until Day 18 was a significant −0.83%, while the average abnormal return on the day was −0.16% at normal levels. The study partially excluded the likelihood of a transitory result by varying the measurement horizon. It also adopted both the market model and the Fama–French three-factor models to rule out model misspecification when estimating abnormal returns and thus increased the robustness. In fact, the results were stable to changes in estimating the model’s specifications. In addition, the study compared the portfolio’s performance with mimicking portfolios in terms of size, book-to-market equity (BE/ME), and the firms’ geographic location. It demonstrated that the documented anomaly of the portfolio of renewable energy companies is robust.

Keywords: renewable energy; climate risk; feed-in tariff (search for similar items in EconPapers)
JEL-codes: C E F2 F3 G (search for similar items in EconPapers)
Date: 2024
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