Case study on Performance Evaluation Framework for Mutual Funds: Beyond Life-Cycle Insights

The Indian mutual fund sector serves a variety of investors spanning
multiple generations and varying degrees of risk appetite. In this
context the case study aims to create an assessment model, for
evaluating mutual fund performance. This model extends beyond
financial metrics incorporating a wide array of factors. The research
utilizes data, from 2025 obtained from Indian mutual fund screener
websites and AMFI publications to examine the investment patterns of
various generational groups, namely Generation Z (aggressive)
Generation X (moderate) and Baby Boomers (conservative) and
explores how they might utilize risk-adjusted indicators to enhance
their portfolios. Such indicators consist of Sharpe and Sortino ratios,
alpha, beta and expense ratios. Visual representations of data, such as
risk, return scatter plots, and ratio comparison bars, make it easier for
the respective profiles to understand which fund categories perform
best for them. The case study further supports the chosen
methodologies by combining established and emerging finance theories
and providing proof that a thorough data-focused strategy not greatly
enhances the investment decision-making process but also renders it
more responsive, to behavioral and demographic factors. The results
offer a wealth of insights that investors, advisors and fund managers can
easily apply when planning their future portfolio strategies.