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ISSN Number:
2582-8568
Journal DOI No:
03.2021-11278686
Title:
The Role of AI in Portfolio Management: Enhancing Mutual Fund Strategies for Optimal Performance w.r.t. Mumbai Region
Authors:
Cite this Article:
,
The Role of AI in Portfolio Management: Enhancing Mutual Fund Strategies for Optimal Performance w.r.t. Mumbai Region, International Research Journal of Humanities and Interdisciplinary Studies (www.irjhis.com), ISSN : 2582-8568, Special Issue, January 2025 One Day International Symposium Organized By SETH HIRACHAND MUTHA COLLEGE OF ARTS, COMMERCE & SCIENCE, KALYAN (Maharashtra, India), Page No : 66-73,
Available at : http://irjhis.com/paper/IRJHISIS2501009.pdf
Abstract:
This study analyses the role of Artificial Intelligence in portfolio management, particularly focused on mutual fund strategies in Mumbai. Mutually, the complexity and dependency on data that characterize financial markets have made mutual fund managers embrace AI machine learning and predictive analytics capabilities that help optimize performance and reduce risks. With that in mind, the impact of AI on the returns the mutual funds in Mumbai yielded is based on return benefits and stability in the portfolios. It also encompasses barriers to AI adoption which encompass infrastructure requirements, regulatory barriers, and skill deficiencies. A total of 50 responses were collected among mutual fund managers and financial professionals in the Mumbai region.Results show that AI can greatly enhance mutual fund strategies with the insights that it generates in real-time and reduces errors related to chances of error that would be required by managers to search for sustainable growth while remaining competitive.
Keywords:
AI in Portfolio Management, Mutual Fund Strategy, AI-based Investment Choices, Risk Management and AI, Mumbai Financial Markets.
Publication Details:
Published Paper ID: IRJHISIS2501009
Registration ID: 21735
Published In: Special Issue, January 2025 One Day International Symposium Organized By SETH HIRACHAND MUTHA COLLEGE OF ARTS, COMMERCE & SCIENCE, KALYAN (Maharashtra, India)
Page No: 66-73
ISSN Number: 2582-8568
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