Artificial Intelligence Techniques for the Performance Analysis of Indian Mutual Fund Industry and Market Trends

Priscila, S. Silvia and Sakthivanitha, M. and Yogeshwari, M. and Devakirubai, T. Shirley and Sirajudeen, M. Mohamed (2025) Artificial Intelligence Techniques for the Performance Analysis of Indian Mutual Fund Industry and Market Trends. In: 2025 6th International Conference on Mobile Computing and Sustainable Informatics (ICMCSI), Goathgaun, Nepal.

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Abstract

A basic examination of a mutual fund's strategy (growth or value), median market cap, rolling returns, standard deviation, and maybe a portfolio breakdown by industry, geography, and other factors make up a typical mutual fund analysis. Mutual fund analysis typically involves calculating the amount of management contribution to the portfolio and ranking equities according to industry. Analyzing a mutual fund portfolio involves a few phases, one of which comprehends the fund's design. This study examine the basic mutual fund parameters and explore the use of artificial intelligence (AI) methods, including Data Mining, machine learning(ML), blockchain and predictive analytics in predicting market trends and assessing mutual fund performance. The purpose of this study is to give users a clear, concise, and professional overview of how to analyze the performance of mutual funds using AI Techniques

Item Type: Conference or Workshop Item (Paper)
Subjects: Computer Science Engineering > Artificial Intelligence
Domains: Information Technology
Depositing User: Mr IR Admin
Date Deposited: 18 Aug 2025 04:55
Last Modified: 18 Aug 2025 04:55
URI: https://ir.vistas.ac.in/id/eprint/9984

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