Valuing ESG: How financial markets respond to corporate sustainability

This study explores how financial markets value corporate sustainability, using a comprehensive dataset of the largest publicly listed firms across 12 countries. Diverging from prior research that assumes a linear or quadratic relationship between ESG performance and firm value, we uncover a cubic response function, characterised by a horizontal-S-shaped effect. Firm value initially increases with ESG ratings up to a critical threshold, then declines as firms face rising costs and diminishing returns, before rising again once ESG ratings exceed a second threshold. We attribute this nonlinear dynamic to two key mechanisms: growth options and stakeholder influence capacity, which interact at different stages of ESG performance. Furthermore, our analysis highlights the moderating role of country-level institutional quality and environmental sustainability, demonstrating that national contexts significantly shape market responses to ESG ratings. By leveraging the Gaussian Copula approach to address endogeneity concerns, we ensure robust and reliable findings. This study advances the international business literature by offering a theoretical framework to explain cross-country variations in how financial markets price sustainability-linked assets. Our findings underscore the critical role of institutional factors in shaping investor sentiment and corporate strategies in a sustainability-focus global economy. These insights are invaluable for investors, policymakers, and corporate leaders navigating the evolving landscape of ESG-driven finance.

Publication Details

Journal
Figshare
Published
2025-04-01
Citations
1
Primary Topic
Particle accelerators and beam dynamics
Type
article
Field-Weighted Citation Impact
4.99
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Valuing ESG: How financial markets respond to corporate sustainability

1 citations
Figshare
Particle accelerators and beam dynamics
4.99
article

Valuing ESG: How financial markets respond to corporate sustainability

article en
1 citations

Abstract

This study explores how financial markets value corporate sustainability, using a comprehensive dataset of the largest publicly listed firms across 12 countries. Diverging from prior research that assumes a linear or quadratic relationship between ESG performance and firm value, we uncover a cubic response function, characterised by a horizontal-S-shaped effect. Firm value initially increases with ESG ratings up to a critical threshold, then declines as firms face rising costs and diminishing returns, before rising again once ESG ratings exceed a second threshold. We attribute this nonlinear dynamic to two key mechanisms: growth options and stakeholder influence capacity, which interact at different stages of ESG performance. Furthermore, our analysis highlights the moderating role of country-level institutional quality and environmental sustainability, demonstrating that national contexts significantly shape market responses to ESG ratings. By leveraging the Gaussian Copula approach to address endogeneity concerns, we ensure robust and reliable findings. This study advances the international business literature by offering a theoretical framework to explain cross-country variations in how financial markets price sustainability-linked assets. Our findings underscore the critical role of institutional factors in shaping investor sentiment and corporate strategies in a sustainability-focus global economy. These insights are invaluable for investors, policymakers, and corporate leaders navigating the evolving landscape of ESG-driven finance.

Figshare
Openalex Percentile: Top 4%
Particle accelerators and beam dynamics
4.99
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.