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Sustainable Investment Portfolios with Al: Bridging Green Finance and Technological Innovation
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Author(s): Mohammad Irfan (Chandigarh University, Lucknow, Unnao, India), Nupoor Sanjay Bhute (Christ University, Bengaluru, India), Ajay Kumar Yadav (Chandigarh University, Unnao, India)and Rui Dias (Instituto Politécnico de Setúbal, Portugal)
Copyright: 2026
Pages: 22
Source title:
Legal and Regulatory Considerations of Leveraging Sustainable Finance
Source Author(s)/Editor(s): Siraj Kariyilaparambu Kunjumuhammed (Modern College of Business and Science, Oman)
DOI: 10.4018/979-8-3373-0350-5.ch009
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Abstract
This research examines the transformative role of artificial intelligence in advancing green finance by enhancing sustainable portfolio management practices. Through Al-driven data analysis, investors are empowered to prioritize environmentally responsible assets, such as green bonds and renewable energy funds, aligning their portfolios with climate-positive goals. Al algorithms play a critical role in forecasting environmental risks, aligning investments with ESG (Environmental, Social, and Governance) standards, and fostering ethical finance trends. This study explores a range of Al fools that enhance decision-making in green finance, assessing their strengths, limitations, and the societal benefits they can unlock. By aligning Al innovation with green finance objectives, this research advocates for a financial ecosystem that supports global sustainability and ethics.
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