This study explores the relationship between Environmental, Social, and Governance (ESG) ratings and financial performance within technology-intensive sectors. Although the link between ESG factors and financial performance is widely recognized, its specific relevance to the Technology and Telecommunications sector, which is innovation-driven and has unique characteristics compared to traditional industries, remains largely unexplored. Financial performance is assessed using two key metrics: Return on Investment (ROI) and Conditional Beta (BETA). The dataset comprises a basket of firms listed in the Euro Stoxx 600 index for the period 2016–2021. Employing a Machine Learning approach and SHapley Additive exPlanations (SHAP) values for model interpretability, the study, leveraging covariate analysis, uncovers patterns and reveals how ESG factors contribute to shaping financial outcomes. The findings suggest that ESG considerations, particularly Social(S) factors, are important in driving financial performance in high-growth, innovation-driven companies.
BEYOND TRADITIONAL METRICS: ESG AND FINANCIAL PERFORMANCE IN INNOVATION-DRIVEN SECTORS / Ferrari, A., Cini, F., Castellano, R.. - In: JOURNAL OF FINANCIAL MANAGEMENT, MARKETS AND INSTITUTIONS. - ISSN 2282-717X. - (2025). [10.1142/s2282717x2550001x]
BEYOND TRADITIONAL METRICS: ESG AND FINANCIAL PERFORMANCE IN INNOVATION-DRIVEN SECTORS
FEDERICO CINI;ROSELLA CASTELLANO
2025
Abstract
This study explores the relationship between Environmental, Social, and Governance (ESG) ratings and financial performance within technology-intensive sectors. Although the link between ESG factors and financial performance is widely recognized, its specific relevance to the Technology and Telecommunications sector, which is innovation-driven and has unique characteristics compared to traditional industries, remains largely unexplored. Financial performance is assessed using two key metrics: Return on Investment (ROI) and Conditional Beta (BETA). The dataset comprises a basket of firms listed in the Euro Stoxx 600 index for the period 2016–2021. Employing a Machine Learning approach and SHapley Additive exPlanations (SHAP) values for model interpretability, the study, leveraging covariate analysis, uncovers patterns and reveals how ESG factors contribute to shaping financial outcomes. The findings suggest that ESG considerations, particularly Social(S) factors, are important in driving financial performance in high-growth, innovation-driven companies.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.


