Chasing the ESG Factor

Abraham Lioui, Andrea Tarelli
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引用次数: 21

Abstract

In the time-series (ordinal ESG) or the cross-section (cardinal ESG)? We show analytically that, when proper adjustment to guarantee identical ESG ratings is implemented, the return spread of the factors produced by the two methods is merely noise. We provide a protocol to construct a cross-sectional ESG factor with a targeted ESG rating without screening stocks, hence without harming ex ante diversification (Sharpe ratio). The cross-sectional ESG factor neutralizes the exposure to other firm characteristics. Using ratings from several ESG data vendors, we document strong variations in the ESG factor's alpha in the time series and across data vendors. The alpha filtered from realized returns is negatively related to the level of an ESG sentiment variable based on media attention, while it is positively related to unexpected variations of the sentiment.
追求ESG因素
是时间序列(有序ESG)还是横截面(基数ESG)?我们分析表明,当适当的调整以保证相同的ESG评级实施时,两种方法产生的因素的回报差仅仅是噪声。我们提供了一个协议,在不筛选股票的情况下构建具有目标ESG评级的横截面ESG因子,因此不会损害事前多样化(夏普比率)。横截面ESG因素抵消了对其他公司特征的暴露。使用来自几个ESG数据供应商的评级,我们记录了ESG因素的alpha在时间序列和数据供应商之间的强烈变化。从已实现收益中过滤出来的alpha与基于媒体关注的ESG情绪变量水平负相关,而与情绪的意外变化正相关。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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