Do past ESG scores efficiently predict future ESG performance?
Dilvin Taskin, Görkem Sariyer, Ece Acar, Efe Caglar Cagli
| Year of publication: |
2025
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|---|---|
| Authors: | Taskin, Dilvin ; Sariyer, Görkem ; Acar, Ece ; Cagli, Efe Çaglar |
| Published in: |
Research in international business and finance. - Amsterdam [u.a.] : Elsevier, ISSN 0275-5319, ZDB-ID 2165501-7. - Vol. 74.2025, Art.-No. 102706, p. 1-13
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| Subject: | Decision tree | ESG score prediction | K-nearest neighbor | Logistic regression | Machine learning algorithms | Random forest | Corporate Social Responsibility | Corporate social responsibility | Künstliche Intelligenz | Artificial intelligence | Prognoseverfahren | Forecasting model | Nachhaltige Kapitalanlage | Sustainable investment | Algorithmus | Algorithm | Entscheidungsbaum | Regressionsanalyse | Regression analysis |
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.1016/j.ribaf.2024.102706 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10015606504