Do Sovereign ESG Indicators Improve Portfolio Resilience in Emerging and Developing Markets? Evidence from Open Financial and ESG Data
Abstract
Environmental, social, and governance (ESG) information is increasingly used in portfolio construction, risk monitoring, and sustainable investment mandates. Yet the empirical role of ESG in emerging and developing markets remains contested because many studies rely on proprietary firm-level ratings, limited samples, or non-reproducible data sources. This article develops an open-data framework for testing whether sovereign ESG indicators are associated with equity-market resilience in emerging and developing economies. Using World Bank Sovereign ESG, Worldwide Governance Indicators, World Development Indicators, Global Financial Development indicators, FRED global risk controls, and Fama-French emerging-market factor files, the study constructs a country-year panel covering the period 1996-2024. The research design links lagged sovereign ESG indicators to annual equity-index returns, stock-market volatility, and crisis-period performance. The empirical strategy combines descriptive portfolio-style comparisons, fixed-effects country-year regressions, and crisis interaction models for 2008-2009, 2020, and 2022. Descriptive evidence suggests that governance indicators are more consistently related to stock-market volatility than to annual return levels, supporting a resilience interpretation rather than a simple ESG-alpha interpretation. The study contributes to sustainable finance research by offering a transparent, reproducible approach to sovereign ESG analysis that can be extended by investors, researchers, and policy analysts working with open financial data.
Keywords: sovereign ESG, emerging markets, portfolio resilience, sustainable finance, stock-market volatility, open data
Data availability
The data used in this study are publicly available from the World Bank Sovereign ESG Data Portal, World Bank API, FRED, and Kenneth R. French Data Library. The processed dataset and generated figures are stored in the project folder accompanying this manuscript.
Author contributions
Maria Azatyan is the sole author. CRediT roles: Conceptualization, Methodology, Data Curation, Formal Analysis, Investigation, Visualization, Writing - Original Manuscript, Writing - Review and Editing, Validation, and Project Administration.
Funding
No external funding is reported for this study.
Competing interests
The author declares no competing interests.
