ESG rating disagreement portfolios – Evidence from the EuroStoxx 600

• We investigate the influence of ESG disagreement on portfolio returns within the EuroStoxx 600 index, using ESG ratings from Morningstar, Refinitiv, and Bloomberg. • We apply the Fama-French-5-Factor model to calculate and compare portfolio alphas across different portfolio sorts. • Firms with higher ESG agreement yield significantly higher returns than firms with low ESG agreement. • This effect vanishes when introducing firm fundamentals such as sorting by market capitalization or Book-to-Market ratio. • Our results call for a cautious approach towards ESG investing and potential need for regulatory advances to reduce ESG rating heterogeneity. This study examines the impact of ESG rating disagreement on portfolio returns for EuroStoxx600 companies. Portfolios are analyzed using ESG data from Morningstar, Refinitiv, and Bloomberg for 458 firms from January 2016 to December 2022. The empirical findings reveal that high ESG agreement portfolios initially show higher returns. However, this effect vanishes when controlling for Book-to-Market ratio and market capitalization. These results challenge the simplistic view of ESG ratings influencing stock returns independently and highlight the need for a cautious approach to ESG investing. Policymakers and investors should consider the heterogeneity in ESG ratings for future regulations and investment decisions.

Authors

Institutions

Publication Details

Journal
Finance research letters
Published
2024-09-14
DOI
https://doi.org/10.1016/j.frl.2024.106117
Citations
11
Primary Topic
Credit Risk and Financial Regulations
Type
article
Field-Weighted Citation Impact
5.93
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

ESG rating disagreement portfolios – Evidence from the EuroStoxx 600

Andrea Pasquali, Cosimo Magazzino, Florian Matthias Horky
11 citations
Finance research letters
Credit Risk and Financial Regulations
5.93
article

ESG rating disagreement portfolios – Evidence from the EuroStoxx 600

Andrea Pasquali, Cosimo Magazzino, Florian Matthias Horky
article en
11 citations

Abstract

• We investigate the influence of ESG disagreement on portfolio returns within the EuroStoxx 600 index, using ESG ratings from Morningstar, Refinitiv, and Bloomberg. • We apply the Fama-French-5-Factor model to calculate and compare portfolio alphas across different portfolio sorts. • Firms with higher ESG agreement yield significantly higher returns than firms with low ESG agreement. • This effect vanishes when introducing firm fundamentals such as sorting by market capitalization or Book-to-Market ratio. • Our results call for a cautious approach towards ESG investing and potential need for regulatory advances to reduce ESG rating heterogeneity. This study examines the impact of ESG rating disagreement on portfolio returns for EuroStoxx600 companies. Portfolios are analyzed using ESG data from Morningstar, Refinitiv, and Bloomberg for 458 firms from January 2016 to December 2022. The empirical findings reveal that high ESG agreement portfolios initially show higher returns. However, this effect vanishes when controlling for Book-to-Market ratio and market capitalization. These results challenge the simplistic view of ESG ratings influencing stock returns independently and highlight the need for a cautious approach to ESG investing. Policymakers and investors should consider the heterogeneity in ESG ratings for future regulations and investment decisions.

Finance research lettersVol. 69
University of Rome Tor Vergata (IT), Roma Tre University (IT), Zeppelin Universität gemeinnützige GmbH (DE), West University of Timişoara (RO), Western Caspian University (AZ), National Bank of Slovakia (SK)
Reduced inequalities
Openalex Percentile: Top 3%
Credit Risk and Financial Regulations
5.93
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.