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Review of Finance Vol. 26 No. 6 2022

Aggregate Confusion: The Divergence of ESG Ratings

Florian Berg1; Julian F. Kölbel1,2; Roberto Rigobon1

1 MIT Sloan , · 2 University of Zurich

open access

Abstract

This paper investigates the divergence of environmental, social, and governance (ESG) ratings based on data from six prominent ESG rating agencies: Kinder, Lydenberg, and Domini (KLD), Sustainalytics, Moody’s ESG (Vigeo-Eiris), S&P Global (RobecoSAM), Refinitiv (Asset4), and MSCI. We document the rating divergence and map the different methodologies onto a common taxonomy of categories. Using this taxonomy, we decompose the divergence into contributions of scope, measurement, and weight. Measurement contributes 56% of the divergence, scope 38%, and weight 6%. Further analyzing the reasons for measurement divergence, we detect a rater effect where a rater’s overall view of a firm influences the measurement of specific categories. The results call for greater attention to how the data underlying ESG ratings are generated.

DOI
10.1093/rof/rfac033
Volume
26
Issue
6
Pages
1315-1344
Language
en
Sources
openalex bibtex:phds-export.bib crossref

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