Investigate The ESG Score Methodology
Portfolio Management
2024-01-09 v2
Authors:
Zhi Chen
Abstract
Whether the Refinitiv provide a reliable and trusted methodology in the process of aggregating 10 category scores to overall score?
Cite
@article{arxiv.2312.00202,
title = {Investigate The ESG Score Methodology},
author = {Zhi Chen},
journal= {arXiv preprint arXiv:2312.00202},
year = {2024}
}
Comments
8 pages, 5 tables
Related papers
View all related →
Computation and Language · Computer Science
ESGLens: An LLM-Based RAG Framework for Interactive ESG Report Analysis and Score Prediction
Tsung-Yu Yang, Meng-Chi Chen
2026-04-23
Physics Education · Physics
A Multi-Faceted Approach to Scrutinizing the Reliability of a Measure of STEM Teacher Strategic Knowledge
Robert M. Talbot
2017-02-23
Machine Learning · Computer Science
Comparative Study and Framework for Automated Summariser Evaluation: LangChain and Hybrid Algorithms
Bagiya Lakshmi S, Sanjjushri Varshini R, Rohith Mahadevan, Raja CSP Raman
2023-10-05
Computation and Language · Computer Science
SGIC: A Self-Guided Iterative Calibration Framework for RAG
Guanhua Chen, Yutong Yao, Lidia S. Chao, Xuebo Liu +1
2025-06-23
Computation and Language · Computer Science
ESGenius: Benchmarking LLMs on Environmental, Social, and Governance (ESG) and Sustainability Knowledge
Chaoyue He, Xin Zhou, Yi Wu, Xinjia Yu +8
2026-03-09
Computers and Society · Computer Science
Validating and Updating GRASP: A New Evidence-Based Framework for Grading and Assessment of Clinical Predictive Tools
Mohamed Khalifa, Farah Magrabi, Blanca Gallego
2019-07-29
Mathematical Finance · Quantitative Finance
An Axiomatic Risk-Reward Framework for Sustainable Investing
Gabriele Torri, Rosella Giacometti, Darinka Dentcheva, Svetlozar T. Rachev +1
2026-02-19
Computation and Language · Computer Science
A System for Comprehensive Assessment of RAG Frameworks
Mattia Rengo, Senad Beadini, Domenico Alfano, Roberto Abbruzzese
2025-04-11
Machine Learning · Computer Science
Evaluating Classifiers Without Expert Labels
Hyun Joon Jung, Matthew Lease
2012-12-06
Machine Learning · Computer Science
STEB: In Search of the Best Evaluation Approach for Synthetic Time Series
Michael Stenger, Robert Leppich, André Bauer, Samuel Kounev
2025-05-28
Information Retrieval · Computer Science
Ensemble Boost: Greedy Selection for Superior Recommender Systems
Zainil Mehta, Tobias Vente
2024-07-09
Portfolio Management · Quantitative Finance
Dissecting the explanatory power of ESG features on equity returns by sector, capitalization, and year with interpretable machine learning
Jérémi Assael, Laurent Carlier, Damien Challet
2023-04-10
Computers and Society · Computer Science
Developing an Evidence-Based Framework for Grading and Assessment of Predictive Tools for Clinical Decision Support
Mohamed Khalifa, Farah Magrabi, Blanca Gallego
2019-07-09
Machine Learning · Computer Science
A Generalised Exponentiated Gradient Approach to Enhance Fairness in Binary and Multi-class Classification Tasks
Maryam Boubekraoui, Giordano d'Aloisio, Antinisca Di Marco
2026-03-24
Machine Learning · Computer Science
Generalized Integrated Gradients: A practical method for explaining diverse ensembles
John Merrill, Geoff Ward, Sean Kamkar, Jay Budzik +1
2019-09-10
Computation and Language · Computer Science
Integrated Framework for LLM Evaluation with Answer Generation
Sujeong Lee, Hayoung Lee, Seongsoo Heo, Wonik Choi
2025-10-02
Portfolio Management · Quantitative Finance
Navigating Uncertainty in ESG Investing
Jiayue Zhang, Ken Seng Tan, Tony S. Wirjanto, Lysa Porth
2025-09-23
Methodology · Statistics
On a General Theoretical Framework of Reliability
Yang Liu, Jolynn Pek, Alberto Maydeu-Olivares
2024-10-29
Information Retrieval · Computer Science
Principled Multi-Aspect Evaluation Measures of Rankings
Maria Maistro, Lucas Chaves Lima, Jakob Grue Simonsen, Christina Lioma
2022-12-02
Machine Learning · Computer Science
Methodological Framework for Quantifying Semantic Test Coverage in RAG Systems
Noah Broestl, Adel Nasser Abdalla, Rajprakash Bale, Hersh Gupta +1
2025-10-02
Computation and Language · Computer Science
Interpretability from the Ground Up: Stakeholder-Centric Design of Automated Scoring in Educational Assessments
Yunsung Kim, Mike Hardy, Joseph Tey, Candace Thille +1
2026-04-23
Computation and Language · Computer Science
S-GRADES -- Studying Generalization of Student Response Assessments in Diverse Evaluative Settings
Tasfia Seuti, Sagnik Ray Choudhury
2026-03-12
Computation and Language · Computer Science
ReFINE: A Reward-Based Framework for Interpretable and Nuanced Evaluation of Radiology Report Generation
Yunyi Liu, Yingshu Li, Zhanyu Wang, Xinyu Liang +3
2025-02-14
Computation and Language · Computer Science
RAG-Zeval: Towards Robust and Interpretable Evaluation on RAG Responses through End-to-End Rule-Guided Reasoning
Kun Li, Yunxiang Li, Tianhua Zhang, Hongyin Luo +3
2025-05-29
Signal Processing · Electrical Eng. & Systems
Evaluation in EEG Emotion Recognition: State-of-the-Art Review and Unified Framework
Natia Kukhilava, Tatia Tsmindashvili, Rapael Kalandadze, Anchit Gupta +5
2025-05-27