Abstract

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.

Keywords

Divergence (linguistics)ConfusionScope (computer science)Taxonomy (biology)Corporate governanceAccountingBusinessEconometricsPsychologyEconomicsComputer scienceBiologyEcologyFinanceLinguistics

Affiliated Institutions

Related Publications

Publication Info

Year
2022
Type
article
Volume
26
Issue
6
Pages
1315-1344
Citations
2048
Access
Closed

Social Impact

Social media, news, blog, policy document mentions

Citation Metrics

2048
OpenAlex
31
Influential
1861
CrossRef

Cite This

Florian Berg, Julian F Kölbel, Roberto Rigobón (2022). Aggregate Confusion: The Divergence of ESG Ratings. European Finance Review , 26 (6) , 1315-1344. https://doi.org/10.1093/rof/rfac033

Identifiers

DOI
10.1093/rof/rfac033

Data Quality

Data completeness: 86%