Uncovering ESG ratings : the (im)balance of aspirational and performance features
| Year of publication: |
2025
|
|---|---|
| Authors: | Ferro, Andrea ; Marazzina, Daniele ; Stocco, Davide |
| Published in: |
Corporate social responsibility and environmental management. - Chichester : Wiley, ISSN 1535-3966, ZDB-ID 2083715-X. - Vol. 32.2025, 5, p. 5895-5917
|
| Subject: | ESG ratings | explainability | feature selection | greenwashing | LSEG methodology | machine learning | transparency | Künstliche Intelligenz | Artificial intelligence | Nachhaltige Kapitalanlage | Sustainable investment | Bewertung | Evaluation | Corporate Social Responsibility | Corporate social responsibility |
-
Corporate governance performance ratings with machine learning
Svanberg, Jan, (2022)
-
Dorak, Önder, (2025)
-
Uncovering corporate greenwashing : a predictive model based on Chinese heavy-pollution industries
Li, Qiang, (2025)
- More ...
-
Interest Rate Modeling: A Matlab Implementation
Marazzina, Daniele, (2007)
-
A General Framework for Pricing Asian Options Under Stochastic Volatility on Parallel Architectures
Corsaro, Stefania, (2019)
-
Response to ESMA/2016/773 : 'The Distributed Ledger Technology Applied to Securities Markets'
Ametrano, Ferdinando M., (2018)
- More ...