Environmental, social and governance (ESG) rating prediction using machine learning approaches
Author:
Publisher
Springer Science and Business Media LLC
Subject
Management Science and Operations Research,General Decision Sciences
Link
https://link.springer.com/content/pdf/10.1007/s10479-023-05633-7.pdf
Reference71 articles.
1. Abdullah, M., Sulong, Z., & Chowdhury, M. A. F. (2023). Explainable Deep Learning Model for Stock Price Forecasting Using Textual Analysis. Available at SSRN 4355596. https://doi.org/10.2139/ssrn.4355596
2. Abdullah, M. (2021). The implication of machine learning for financial solvency prediction: An empirical analysis on public listed companies of Bangladesh. Journal of Asian Business and Economic Studies, 28(4), 303–320. https://doi.org/10.1108/JABES-11-2020-0128
3. Abdullah, M., Chowdhury, M. A. F., Uddin, A., & Moudud-Ul-Huq, S. (2023). Forecasting nonperforming loans using machine learning. Journal of Forecasting. https://doi.org/10.1002/for.2977
4. Alsayegh, M. F., Abdul Rahman, R., & Homayoun, S. (2020). Corporate economic, environmental, and social sustainability performance transformation through ESG disclosure. Sustainability. https://doi.org/10.3390/su12093910
5. Ansoff, H. I. (1965). Corporate Strategy. McGraw Hill.
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