Analysis of systematic risk of global ETFs with maximum ESG rating

Abstract

The article is discussed to the analysis of ESG rating factors, profitability and risk in relation to global ETFs. The hypothesis under study is that global ETFs with a maximum ESG rating are heterogeneous in terms of systematic risk level. Based on the FOREL clustering algorithm, two ETF clusters are identified. Thus, an investor, having a priority maximum ESG rating and a certain level of β-coefficient, can select any object from the cluster, since all ETFs in the cluster are similar in level of systematic risk.