Climate policy uncertainty and analyst earnings forecasts: Evidence from the Chinese energy sector

IF 9.8 1区 经济学 Q1 BUSINESS, FINANCE International Review of Financial Analysis Pub Date : 2025-01-28 DOI:10.1016/j.irfa.2025.103960
Wenhua Liu , Yang Liu , Fenghua Wen , Xu Gong
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Abstract

We investigate whether climate policy uncertainty affects analysts' earnings forecasts. Using 51,986 analyst forecasting data from China's energy sector for 2009–2021, we find that climate policy uncertainty results in lower analysts' earnings forecasts. Our finding is consistent with the deterioration of the company's fundamentals. Heterogeneity analysis shows that climate policy uncertainty's “correction effect” on analysts' optimistic forecasts is more effective among firms with worse ESG performance and higher pollution levels. Additional analysis suggests that analysts' revision behavior is only present in the sample of optimistic forecasts and that the “correction effect” improves the accuracy of analysts' forecasts.
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气候政策不确定性与分析师收益预测:来自中国能源行业的证据
我们调查了气候政策的不确定性是否会影响分析师的收益预测。利用2009-2021年中国能源行业51,986位分析师的预测数据,我们发现气候政策的不确定性导致分析师的收益预测降低。我们的发现与公司基本面的恶化是一致的。异质性分析表明,气候政策不确定性对分析师乐观预测的“修正效应”在ESG绩效较差、污染水平较高的企业中更为有效。进一步的分析表明,分析师的修正行为只存在于乐观预测的样本中,“修正效应”提高了分析师预测的准确性。
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来源期刊
CiteScore
10.30
自引率
9.80%
发文量
366
期刊介绍: The International Review of Financial Analysis (IRFA) is an impartial refereed journal designed to serve as a platform for high-quality financial research. It welcomes a diverse range of financial research topics and maintains an unbiased selection process. While not limited to U.S.-centric subjects, IRFA, as its title suggests, is open to valuable research contributions from around the world.
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