Sharpe ratio in mutual fund performance
The Sharpe ratio is a widely-used measure of risk-adjusted return that computes excess return per unit of total volatility. Developed by Nobel laureate William Sharpe, it remains one of the most-cited performance metrics in mutual fund evaluation.
For Indian retail investors comparing mutual fund schemes, Sharpe ratio enables apples-to-apples comparison of risk-return profiles across different schemes.
Formula
Sharpe ratio = (Scheme return - Risk-free return) / Standard deviation of scheme returns
Where:
- Scheme return: Annualised return of the mutual fund scheme.
- Risk-free return: Typically the 10-year G-Sec yield or 91-day T-bill rate (typically 6-7% in current Indian markets).
- Standard deviation: Annualised volatility of scheme returns.
Interpretation
| Sharpe ratio | Interpretation |
|---|---|
| > 2 | Excellent risk-adjusted return |
| 1 to 2 | Good risk-adjusted return |
| 0 to 1 | Acceptable but unimpressive |
| < 0 | Underperformed risk-free rate |
For mutual funds in India:
- Equity funds: Sharpe of 1-1.5 is typical for good performance.
- Hybrid funds: Sharpe of 0.8-1.2 typical.
- Debt funds: Sharpe of 0.5-1.5 depending on category.
Comparison with Sortino ratio
The Sharpe ratio uses total volatility (both upside and downside). The Sortino ratio uses only downside deviation:
- Sharpe: Penalises all volatility (including good upside).
- Sortino: Penalises only downside volatility.
For most investors, Sortino is more intuitive (only downside is “risk”). However, Sharpe remains the industry standard.
Limitations
- Assumes normal distribution: Real returns have fat tails.
- Doesn’t capture tail risk: Black-swan events under-weighted.
- Period-dependent: Sharpe can vary significantly with the measurement window.
- Doesn’t capture sequence risk: Order of returns matters in real investing.
Use in mutual fund evaluation
Compare Sharpe ratios across:
- Same-category schemes.
- Similar measurement period (e.g., 3-year or 5-year).
- Net of TER (post-fee Sharpe).
Avoid comparing across categories with materially different volatility profiles.
See also
- Mutual funds in India
- Alpha mutual fund
- Beta mutual fund
- Sortino ratio
- Treynor ratio
- Information ratio
- Std deviation MF
- Max drawdown
- Rolling trailing returns
External references
References
- Sharpe, William F. “Mutual fund performance” 1966.
- CFA Institute curriculum.