Data-Driven Strategies for Sustainable Investing: AI Approaches to ESG Performance Measurement

Authors

  • Ayesha Khan Associate Professor of Finance Islamabad Institute of Business and Technology Author
  • Omar Farooq Assistant Professor of Computer Science Islamabad Institute of Business and Technology Author

DOI:

https://doi.org/10.5281/

Keywords:

Sustainable Investing, Artificial Intelligence, ESG Performance Measurement, Machine Learning, Natural Language Processing, Data Analytics, ESG Metrics.

Abstract

In recent years, sustainable investing has gained prominence as investors seek to align their portfolios with environmental, social, and governance (ESG) criteria. This research paper explores how data-driven strategies, powered by artificial intelligence (AI), can enhance ESG performance measurement. We investigate various AI methodologies, including machine learning, natural language processing, and data analytics, to assess their efficacy in evaluating ESG metrics and improving sustainable investment decisions. By analyzing case studies and industry practices, we provide insights into how AI can address challenges in ESG performance assessment and offer recommendations for integrating AI into sustainable investing frameworks.

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Published

2024-08-30

Issue

Vol. 2 No. 1 (2024): First Issue

Section

Articles

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