Optimal ESG Portfolios: Which ESG Ratings to Use?

A. Schmidt, Xu Zhang
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引用次数: 1

Abstract

The idea behind the optimal ESG portfolio (OESGP) is to expand the mean variance theory by adding the portfolio ESG value (PESGV) multiplied by the ESG strength parameter γ (which is investor’s choice) to the minimizing objective function (Pederson et al., 2019; Schmidt, 2020). PESGV is assumed to be the sum of portfolio constituents’ weighted ESG ratings that are offered by several providers. In this work we analyze the sensitivity of the OESGP based on the constituents of the Dow Jones Index to the ESG ratings provided by MSCI, S&P Global, and Sustainalytics. We describe discrepancies among various ESG ratings for the same securities and their effects on the OESGP performance. We found that the OESGP diversity decreases with growing γ. The dependence of the ESG tilted Sharpe ratio on γ may have two maximums. The 1st maximum exists at moderate values of γ and yields a moderately diversified OESGP. The 2nd maximum at large γ corresponds to a highly concentrated OESGP. It appears if portfolio has one or two securities with lucky combinations of high returns and high ESG ratings.
最佳ESG投资组合:使用哪种ESG评级?
最优ESG投资组合(OESGP)背后的思想是通过将投资组合ESG值(PESGV)乘以ESG强度参数γ(这是投资者的选择)添加到最小化目标函数来扩展平均方差理论(Pederson等,2019;施密特,2020)。假设PESGV是由几个供应商提供的投资组合成分加权ESG评级的总和。在这项工作中,我们根据道琼斯指数的组成部分,分析了OESGP对MSCI、s&p Global和Sustainalytics提供的ESG评级的敏感性。我们描述了同一证券的不同ESG评级之间的差异及其对OESGP绩效的影响。我们发现OESGP多样性随着γ的增加而降低。ESG倾斜夏普比对γ的依赖性可能有两个最大值。第1极大值存在于γ的中等值,并产生中等多样化的OESGP。第2个极大值对应于高浓度的OESGP。如果你的投资组合中有一两种证券,它们的高回报和高ESG评级幸运地结合在了一起。
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