Revolutionizing ESG risk assessment through machine learning: Insights from U.S. corporations
Environmental, Social, and Governance (ESG) factors are increasingly essential in evaluating corporate performance, driving demand for accurate ESG risk assessments. However, smaller companies often face challenges in obtaining validated ESG scores due to resource constraints. This study explores th...
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Main Authors: | NGUYEN, Huynh Long Hung, MEGARGEL, Alan @ Ali MADJELISI |
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Format: | text |
Language: | English |
Published: |
Institutional Knowledge at Singapore Management University
2024
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Subjects: | |
Online Access: | https://ink.library.smu.edu.sg/sis_research/9686 https://ink.library.smu.edu.sg/context/sis_research/article/10686/viewcontent/Predicting_Corporate_ESG_Risk_Score___Paper_Submission.pdf |
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Institution: | Singapore Management University |
Language: | English |
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