BEYOND TRADITIONAL METRICS: ESG AND FINANCIAL PERFORMANCE IN INNOVATION-DRIVEN SECTORS
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 Telecommu...
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| Format: | Article |
| Language: | English |
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World Scientific Publishing
2025-06-01
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| Series: | Journal of Financial Management, Markets and Institutions |
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| Online Access: | https://www.worldscientific.com/doi/10.1142/S2282717X2550001X |
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| author | ANNALISA FERRARI FEDERICO CINI ROSELLA CASTELLANO |
| author_facet | ANNALISA FERRARI FEDERICO CINI ROSELLA CASTELLANO |
| author_sort | ANNALISA FERRARI |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-7e7726501214483293d3b1eaecfbbe4e |
| institution | Kabale University |
| issn | 2282-717X |
| language | English |
| publishDate | 2025-06-01 |
| publisher | World Scientific Publishing |
| record_format | Article |
| series | Journal of Financial Management, Markets and Institutions |
| spelling | doaj-art-7e7726501214483293d3b1eaecfbbe4e2025-08-20T03:51:19ZengWorld Scientific PublishingJournal of Financial Management, Markets and Institutions2282-717X2025-06-01130110.1142/S2282717X2550001XBEYOND TRADITIONAL METRICS: ESG AND FINANCIAL PERFORMANCE IN INNOVATION-DRIVEN SECTORSANNALISA FERRARI0FEDERICO CINI1ROSELLA CASTELLANO2Department of Law and Economics, University of Roma Unitelma Sapienza, Piazza Sassari 4, Roma 00161, ItalyPhD School in Social Sciences and Economics, Sapienza University of Rome, Piazzale Aldo Moro 5, Roma 00185, ItalyDepartment of Law and Digital Society, University of Roma Unitelma Sapienza, Piazza Sassari 4, Roma 00161, ItalyThis 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.https://www.worldscientific.com/doi/10.1142/S2282717X2550001XESG ratingsfinancial performancetechnology-intensive companiesmachine learning |
| spellingShingle | ANNALISA FERRARI FEDERICO CINI ROSELLA CASTELLANO BEYOND TRADITIONAL METRICS: ESG AND FINANCIAL PERFORMANCE IN INNOVATION-DRIVEN SECTORS Journal of Financial Management, Markets and Institutions ESG ratings financial performance technology-intensive companies machine learning |
| title | BEYOND TRADITIONAL METRICS: ESG AND FINANCIAL PERFORMANCE IN INNOVATION-DRIVEN SECTORS |
| title_full | BEYOND TRADITIONAL METRICS: ESG AND FINANCIAL PERFORMANCE IN INNOVATION-DRIVEN SECTORS |
| title_fullStr | BEYOND TRADITIONAL METRICS: ESG AND FINANCIAL PERFORMANCE IN INNOVATION-DRIVEN SECTORS |
| title_full_unstemmed | BEYOND TRADITIONAL METRICS: ESG AND FINANCIAL PERFORMANCE IN INNOVATION-DRIVEN SECTORS |
| title_short | BEYOND TRADITIONAL METRICS: ESG AND FINANCIAL PERFORMANCE IN INNOVATION-DRIVEN SECTORS |
| title_sort | beyond traditional metrics esg and financial performance in innovation driven sectors |
| topic | ESG ratings financial performance technology-intensive companies machine learning |
| url | https://www.worldscientific.com/doi/10.1142/S2282717X2550001X |
| work_keys_str_mv | AT annalisaferrari beyondtraditionalmetricsesgandfinancialperformanceininnovationdrivensectors AT federicocini beyondtraditionalmetricsesgandfinancialperformanceininnovationdrivensectors AT rosellacastellano beyondtraditionalmetricsesgandfinancialperformanceininnovationdrivensectors |