ESG score prediction through random forest algorithm
Valeria D'Amato, Rita D'Ecclesia, Susanna Levantesi
| Year of publication: |
2022
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|---|---|
| Authors: | D'Amato, Valeria ; D'Ecclesia, Rita Laura ; Levantesi, Susanna |
| Published in: |
Computational management science. - Heidelberg : Springer, ISSN 1619-6988, ZDB-ID 2107564-5. - Vol. 19.2022, 2, p. 347-373
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| 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 |
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.1007/s10287-021-00419-3 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10013262698