Open Access
| Issue |
SHS Web Conf.
Volume 225, 2025
2025 3rd International Conference on Financial Management and the Digital Economy (ICFMDE 2025)
|
|
|---|---|---|
| Article Number | 03017 | |
| Number of page(s) | 11 | |
| Section | ESG, Green Finance & Sustainable Value Creation | |
| DOI | https://doi.org/10.1051/shsconf/202522503017 | |
| Published online | 13 November 2025 | |
- R. Zeidan, Why don’t asset managers accelerate ESG investing? A sentiment analysis based on 13,000 messages from finance professionals. Bus. Strategy Environ. 31, 3028-3039 (2016) [Google Scholar]
- C. Louche, G. Delautre, G. Balvedi Pimentel, Assessing companies’ decent work practices: An analysis of ESG rating methodologies. Int. Labour Rev. 162, 69-97 (2023) [Google Scholar]
- L.I. Khoruzhy, A.V. Semenov, A.V. Averin, T.A. Mustafin, ESG investing in the AI era: Features of developed and developing countries. Front. Environ. Sci. 10, 951646 (2022) [Google Scholar]
- Y. Zhang, ESG-Based Market Risk Prediction and Management Using Machine Learning and Natural Language Processing [Honors thesis], Shanghai New York Univ. (2023) [Google Scholar]
- S.R. Bapat, S. Kothari, R. Bansal, Sentiment analysis of ESG disclosures on stock market (2022) arXiv:2210.00731 [Google Scholar]
- M. Minkkinen, A. Niukkanen, M. Mäntymäki, What about investors? ESG analyses as tools for ethics-based AI auditing. AI Soc. 39, 329-343 (2024) [Google Scholar]
- S. Abhayawansa, S. Tyagi, Sustainable investing: The black box of environmental, social and governance (ESG) ratings. J. Wealth Manag. (Forthcoming) [Google Scholar]
- V. D’Amato, R. D’Ecclesia, S. Levantesi, Fundamental ratios as predictors of ESG scores: A machine learning approach. Decis. Econ. Finance 44, 1087-1110 (2021) [Google Scholar]
- V. D’Amato, R. D’Ecclesia, S. Levantesi, Firms’ profitability and ESG score: A machine learning approach. Appl. Stoch. Models Bus. Ind. 40, 243-261 (2024) [Google Scholar]
- X. Xu, C. Li, J. Wang, Research on the construction of China’s credit system under internet finance—Taking Sesame Credit as an example. in Proceedings of 2023 Int. Conf. Digital Econ. Smart Financ. (DESF) pp. 45-56 (2023) [Google Scholar]
- C. Milana, D. D’Alvia, X. Zhang, The rise of innovative credit scoring systems in banking and FinTech: A review of the literature. J. Risk Financ. Manag. 15, 578 (2022) [Google Scholar]
- T.K. Trinh, D. Zhang, Algorithmic fairness in financial decision-making: Detection and mitigation of bias in credit scoring applications. J. Adv. Comput. Syst. 4, 36-49 (2024) [Google Scholar]
- P.G.R. De Almeida, C.D. Dos Santos, J.S. Farias, Artificial intelligence regulation: a framework for governance. Ethics Inf. Technol. 23, 505-525 (2021) [Google Scholar]
- J. Lachuer, S.B. Jabeur, Explainable artificial intelligence modeling for corporate social responsibility and financial performance. J. Asset Manag. 23, 619 (2022) [Google Scholar]
- X. Yin, Y. Zhu, J. Hu, A comprehensive survey of privacy-preserving federated learning: A taxonomy, review, and future directions. ACM Comput. Surv. 54, 1-36 (2021) [Google Scholar]
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.