ESG Ratings and Their Disagreements
ESG Ratings and Their Disagreements
When Standard & Poor's assigns a credit rating of BBB to a bond, every major agency using similar methodology will reach a broadly comparable conclusion. When MSCI assigns an ESG rating of AA to a company, Sustainalytics might call the same company high-risk — the rough equivalent of a junk-bond status. This is not a rounding error. The correlation between major ESG raters' scores for the same companies hovers around 0.5, a level of disagreement that would be scandalous in credit markets and that has profound implications for any investor relying on ESG data.
Why Disagreement Is Structural
The disagreement is not caused by one provider being right and others wrong. It reflects three deep structural differences: what raters choose to measure (scope), how they weight different factors (weights), and what data sources they use to make assessments (measurement approach).
On scope, some providers focus on a company's impact on society and environment — what the EU calls "outside-in" materiality. Others focus on how ESG risks affect the company's own financial performance — "inside-out" materiality. A coal producer looks radically different under these two lenses. Under the first, it is rated poorly because of its contribution to climate change. Under the second, it may receive a moderate rating if it manages its regulatory and physical risks competently.
On weights, a technology company that scores well on carbon emissions (the E) but poorly on data privacy and workforce diversity (S and G) will receive a very different aggregate score depending on whether the rater weights E heavily or treats the three letters equally. Raters rarely disclose their weighting methodologies in detail, making it impossible for investors to fully reverse-engineer a score.
On measurement, some ESG factors can be quantified from public disclosures. Others rely on questionnaires sent to companies — which creates an obvious self-reporting bias, since companies control what they submit and how they frame it. A 2022 study by Berg, Kölbel, and Rigobon, published in the Review of Finance, decomposed ESG rating disagreements and found that divergence in measurement methodology accounted for the largest share of variation, larger even than scope or weighting differences.
What Investors Should Do
No single ESG rating is authoritative. The most sophisticated institutional investors treat ESG scores the way equity analysts treat broker earnings estimates: as useful inputs that require triangulation across multiple sources, not verdicts to be accepted uncritically. Chapters in this section walk through each major provider's methodology, their respective blind spots, and strategies for reconciling conflicting signals in a real investment process.
Articles in this chapter
📄️ How ESG Ratings Work
How ESG ratings work: what data agencies collect, how they weight environmental, social, and governance factors, and how scores become a final rating.
📄️ MSCI ESG Ratings
How MSCI ESG ratings work: the AAA-to-CCC scale, industry-adjusted scoring, key issue weighting, and their use in indexes and portfolio analysis.
📄️ Sustainalytics Ratings
How Sustainalytics ESG Risk Ratings work: the risk-based approach, managed vs. unmanaged risk, and how it differs from MSCI's relative framework.
📄️ S&P Global ESG
How S&P Global ESG scores work: the Corporate Sustainability Assessment, industry criteria, the DJSI, and how the CSA differs from MSCI and Sustainalytics.
📄️ Bloomberg ESG
How Bloomberg ESG disclosure scores work: the disclosure-based methodology, broad coverage, and integration with terminal data professionals use.
📄️ ISS ESG
How ISS ESG quality scores work, how ISS ESG research connects to ISS proxy advisory services, and what sets ISS apart among ESG rating providers.
📄️ Refinitiv ESG
How Refinitiv (LSEG) ESG scores work: pillar-score architecture, the controversy overlay, extensive coverage, and integration with Eikon and Workspace.
📄️ Rating Disagreements
ESG raters disagree up to 50% of the time. Learn why different providers give the same company very different scores and what that means for investors.
📄️ Scope Divergence
ESG raters measure different things. Learn how differences in assessment scope drive divergent ratings and which factor categories are most contested.
📄️ Weight Divergence
ESG weight divergence: how the weights raters give individual factors, especially the E, S, and G balance, drive rating differences and portfolio outcomes.
📄️ Data Gap Problem
The ESG data gap problem: coverage gaps, unverified self-reported data, and inconsistent methods, and what they mean for ESG metric reliability.
📄️ Controversy Adjustments
How ESG rating agencies adjust for controversies like spills, labor violations, and governance failures, and how controversy flags differ from base scores.
📄️ ESG Rating Coverage
Major ESG rating agencies systematically under-cover small-cap and emerging market companies. Learn the coverage gaps and what investors can do about them.
📄️ ESG Washing in Ratings
How companies game ESG ratings through selective disclosure, questionnaire optimization, and policies never implemented, and how investors can spot it.
📄️ AI in ESG Ratings
How machine learning and NLP are transforming ESG data and ratings, and the opportunities, limits, and risks of AI-driven ESG assessment.
📄️ ESG Rating Conflicts of Interest
Conflicts of interest in ESG ratings: issuer-pays models, consulting revenue, and the independence challenges that may bias ESG assessments.
📄️ ESG Rating Regulation
The emerging regulation of ESG rating agencies, including the EU ESG Rating Regulation and global developments, and what oversight means for investors.
📄️ Using Multiple Raters
Strategies for using multiple ESG raters: reconcile conflicting scores, extract the best signal from each provider, and build a more reliable process.
📄️ Sector-Specific Ratings
Sector-specific ESG ratings: how factors, weightings, and key ESG issues differ by industry, from energy to technology to healthcare, and why it matters.
📄️ ESG Momentum Scores
ESG momentum tracks changes in ESG scores over time. Learn how investors use ESG improvers as a signal and whether improvement predicts returns.
📄️ ESG Rating Transparency
The case for open-source ESG data: what transparency advocates demand, what rating agencies have resisted, and how ESG methodology disclosure is changing.
📄️ Controversies vs. Scores
ESG management scores and ESG controversy flags measure different things. Learn what each signal captures, how they interact, and why you need both.
📄️ ESG Ratings vs. Credit Ratings
ESG ratings vs. credit ratings: key structural differences in scope, regulation, methodology, performance validation, and the cost of rating errors.
📄️ Future of ESG Ratings
Where ESG ratings are heading: regulation, consolidation, technology disruption, and whether a single global ESG standard is desirable or even achievable.