ESG score prediction through random forest algorithm
Year of publication: |
2022
|
---|---|
Authors: | D'Amato, Valeria ; D'Ecclesia, Rita Laura ; Levantesi, Susanna |
Subject: | ESG risks | Firm performance | Machine Learning | Künstliche Intelligenz | Artificial intelligence | Corporate Social Responsibility | Corporate social responsibility | Unternehmenserfolg | Prognoseverfahren | Forecasting model | Nachhaltige Kapitalanlage | Sustainable investment | Algorithmus | Algorithm |
-
Fundamental ratios as predictors of ESG scores : a machine learning approach
D'Amato, Valeria, (2021)
-
Svanberg, Jan, (2023)
-
Corporate governance performance ratings with machine learning
Svanberg, Jan, (2022)
- More ...
-
Fundamental ratios as predictors of ESG scores : a machine learning approach
D'Amato, Valeria, (2021)
-
A longevity basis risk analysis in a joint FDM framework
D'Amato, Valeria, (2017)
-
Measuring business impacts on the sustainability of European-listed firms
D'Ecclesia, Rita Laura, (2024)
- More ...