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@article{187146,
author = {Mrs. Gunasheela N},
title = {Artificial Intelligence in Shaping Sustainable Investment Portfolios and Wealth Management},
journal = {International Journal of Innovative Research in Technology},
year = {2025},
volume = {12},
number = {6},
pages = {4222-4228},
issn = {2349-6002},
url = {https://ijirt.org/article?manuscript=187146},
abstract = {This paper examines the capacity of Artificial Intelligence (AI) to facilitate the formulation of sustainable investment portfolios. Conventional portfolio development is predicated on methodologies such as mean–variance optimization, which predominantly emphasize risk and return metrics. Nonetheless, these methodologies encounter significant challenges in adapting to fluctuating markets, global uncertainties, and the essential requirements for long-term stability. AI, through its capabilities in intelligent decision-making, rule-based frameworks, and optimization techniques, can assist investors in constructing portfolios that exhibit greater resilience, diversification, and financial sustainability. The research is of a conceptual nature and articulates a theoretical framework concerning the function of AI in the realm of sustainable investing.
Artificial Intelligence exerts a profound impact on the formulation of sustainable investment portfolios by augmenting decision-making processes and synchronizing financial strategies with environmental, social, and governance (ESG) criteria.
This synchronization not only promotes ethical investment practices but also bolsters long-term financial performance and resilience amid the shifting dynamics of markets and sustainability trends. By harnessing AI-driven insights, investors are enabled to proficiently identify and manage ESG-related risks, resulting in more informed and responsible investment decisions that contribute to a sustainable financial ecosystem.},
keywords = {Sustainable Investing, Artificial Intelligence, Responsible Finance, ESG},
month = {December},
}
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