Wanling Rudkin · 2026-07-31
A plain-English AI summary of what this paper means for investors — generated on demand from the abstract.
Competing ESG rating providers reward different portfolio attributes. This paper models funds that choose portfolios and fees for investors with heterogeneous ESG priorities. Portfolio changes can improve both providers' scores or favour one methodology over the other, and investor demand determines which methodology each fund targets. Greater disagreement makes provider-specific positioning more productive but common improvement less productive. Funds therefore specialise more, yet both provider scores, investor participation, and equilibrium fees fall in the benchmark equilibrium. Investor heterogeneity creates matching gains from specialisation, while common improvement supports holdings-based ESG exposure. Methodology convergence improves participation and common exposure but weakens matching across investor clienteles. Convergence raises welfare when the social value of common exposure is sufficiently high.
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AI summary generated from the paper’s public abstract via arXiv; it may miss nuance — read the source before relying on it. Thank you to arXiv for its open-access interoperability; StockTools is not affiliated with arXiv, and all rights remain with the authors. Educational only, not financial advice.