A STUDY ON FORECASTING MUTUAL FUND GROWTH USING PREDICTIVE MODELS

Abstract

Mutual funds have become one of the most important investment avenues for both institutional and retail investors due to their diversification benefits and professional management. Forecasting the future growth rates of mutual funds is crucial for investors, fund managers, and financial analysts to make informed investment decisions and to understand market dynamics. This study focuses on predicting the future growth rates of mutual funds by applying various predictive models and analyzing their implications on financial markets. The research examines historical performance data of mutual funds along with key financial indicators such as market trends, economic conditions, risk factors, and investor behavior. Quantitative techniques and predictive models, including statistical analysis and data-driven forecasting methods, are utilized to estimate potential growth patterns of mutual funds. These models help identify trends, performance consistency, and the influence of macroeconomic variables on mutual fund returns.