One of the best investing opportunities ever developed is the mutual fund. They are incredibly inexpensive and simple to invest in the capital market. Due to their versatility, simplicity of use, and capacity to assist people in reaching their financial objectives while reducing risk through diversification, mutual funds have been increasingly popular among investors in recent years. This transition has been accelerated by the mutual fund industry's adoption of AI and data science, which has changed the availability of investment options and produced better performance results. When examining a mutual fund, perhaps the most essential consideration is its performance. AI and analytics are altering the way individuals react to mutual fund investments. This study provides insights into the evolution of India's mutual funds industry and examines the modern approaches like predictive analytics, AI for portfolio rebalancing and sentiment analysis to evaluate the various aspects of mutual fund data.

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Evaluating the Evolution of India’s Mutual Fund Industry: Ways to Enhance by AI

  • P. Hynul Jenofer,
  • T. S. Aarathy

摘要

One of the best investing opportunities ever developed is the mutual fund. They are incredibly inexpensive and simple to invest in the capital market. Due to their versatility, simplicity of use, and capacity to assist people in reaching their financial objectives while reducing risk through diversification, mutual funds have been increasingly popular among investors in recent years. This transition has been accelerated by the mutual fund industry's adoption of AI and data science, which has changed the availability of investment options and produced better performance results. When examining a mutual fund, perhaps the most essential consideration is its performance. AI and analytics are altering the way individuals react to mutual fund investments. This study provides insights into the evolution of India's mutual funds industry and examines the modern approaches like predictive analytics, AI for portfolio rebalancing and sentiment analysis to evaluate the various aspects of mutual fund data.