PARAMETRIC ANALYSIS OF MUTUAL FUND PERFORMANCE: ASSESSING RISK-ADJUSTED RETURNS WITH REFERENCE TO HDFC STANDERD LIFE

The significance of risk-adjusted return measurements is highlighted in this research, which employs parametric analysis to evaluate mutual fund performance. Returns and other traditional performance measures don't tell the whole story since they don't take risk into account. To evaluate the efficacy of mutual funds in producing returns in relation to risk, this study use statistical methods and parametric models such as the Treynor Ratio, Jensen's Alpha, and the Sharpe Ratio. Data on the Net Asset Value (NAV) of certain equities and hybrid mutual funds over a certain time period forms the basis of the research. Consistency, volatility, and comparative performance are determined by key factors like as standard deviation, beta, and portfolio returns. The results aid investors in locating funds with good risk-adjusted performance, which helps them make better investing choices. Findings from this study suggest that, in the ever-changing world of mutual funds and financial markets, parametric evaluation yields more accurate and useful results for investors.