Sharpe Ratio Calculator
Quickly compute sharpe ratio with accurate formulas. See amortization schedules, growth projections, and side-by-side comparisons.
Reviewed by Sahil, Senior Finance & Tax Editor
Formula
Sharpe Ratio = (Rp - Rf) / StdDev
Where Rp = Portfolio Return (%), Rf = Risk-Free Rate (%), StdDev = Portfolio Standard Deviation (%). The ratio measures excess return per unit of total risk. Higher values indicate better risk-adjusted performance. Related metrics include the Sortino ratio (downside deviation), Treynor ratio (beta), and Information ratio (tracking error).
Worked Examples
Example 1: Equity Portfolio Evaluation
Problem:A portfolio returned 12% annually with 15% standard deviation. The risk-free rate is 4.5%. The S&P 500 benchmark returned 10% with 12% std dev. Calculate the Sharpe ratio.
Solution:Excess return = 12% - 4.5% = 7.5%\nSharpe Ratio = 7.5 / 15 = 0.500\nInformation Ratio = (12 - 10) / tracking error\nTracking error = sqrt(15^2 + 12^2 - 2 x 0.85 x 15 x 12) = 7.94%\nInformation Ratio = 2 / 7.94 = 0.252\nM-squared = 4.5 + 0.5 x 12 = 10.5%
Result:Sharpe: 0.500 | Quality: Acceptable | Information Ratio: 0.252 | M-squared: 10.5%
Example 2: High-Performance Fund
Problem:A hedge fund returned 20% with 10% standard deviation. Risk-free rate is 5%. Benchmark: 10% return, 12% std dev.
Solution:Excess return = 20% - 5% = 15%\nSharpe Ratio = 15 / 10 = 1.500\nQuality: Good (above 1.0)\nBeta = (0.85 x 10) / 12 = 0.708\nTreynor = 15 / 0.708 = 21.19\nSortino (approx) = 15 / 7 = 2.143
Result:Sharpe: 1.500 | Quality: Good | Treynor: 21.19 | Sortino: 2.143
Frequently Asked Questions
What is the Sharpe ratio and why is it important?
The Sharpe ratio, developed by Nobel laureate William Sharpe in 1966, measures the risk-adjusted return of an investment by comparing its excess return above the risk-free rate to its standard deviation (volatility). The formula is: Sharpe Ratio equals (Portfolio Return minus Risk-Free Rate) divided by Standard Deviation. A higher Sharpe ratio indicates better risk-adjusted performance, meaning more return per unit of risk taken. It is one of the most widely used metrics in finance for comparing investments, evaluating fund managers, and constructing portfolios. A Sharpe ratio of 1.0 or higher is generally considered good, while 2.0 or above is excellent. The metric allows investors to compare investments with very different risk profiles on an equal footing.
What is a good Sharpe ratio for an investment portfolio?
Sharpe ratio benchmarks vary by asset class and market conditions, but general guidelines apply. A ratio below 0.5 is considered subpar and suggests the investor is not being adequately compensated for the risk taken. Between 0.5 and 1.0 is acceptable for many investors and typical of broad market index funds. A ratio between 1.0 and 2.0 is considered good and indicates skillful investment management. Above 2.0 is excellent and relatively rare for sustained periods. Ratios above 3.0 should be viewed with skepticism as they may indicate insufficient data, survivorship bias, or strategies that underestimate tail risk. The S&P 500 has historically had a long-term Sharpe ratio of approximately 0.4 to 0.5, though this fluctuates considerably over different time periods.
What are the limitations of the Sharpe ratio?
The Sharpe ratio has several important limitations that investors should understand. First, it assumes returns are normally distributed, but real investment returns often exhibit fat tails and skewness, meaning extreme events occur more frequently than a bell curve predicts. Second, it penalizes upside and downside volatility equally, even though investors primarily care about downside risk. The Sortino ratio addresses this by using only downside deviation. Third, the ratio is sensitive to the measurement period and can be manipulated by choosing favorable timeframes. Fourth, it does not account for leverage, which can artificially inflate the ratio. Fifth, strategies with infrequent but large losses such as option selling may show deceptively high Sharpe ratios until a tail event occurs.
How does the Sharpe ratio differ from the Sortino and Treynor ratios?
While all three ratios measure risk-adjusted returns, they use different denominators. The Sharpe ratio divides excess return by total standard deviation, treating all volatility as equally undesirable. The Sortino ratio replaces standard deviation with downside deviation, only penalizing negative returns below a minimum acceptable return, making it more suitable for asymmetric return distributions. The Treynor ratio divides excess return by beta, measuring only systematic or market risk rather than total risk. This makes the Treynor ratio more appropriate for evaluating well-diversified portfolios where unsystematic risk has been largely eliminated. For concentrated or alternative investments, the Sharpe ratio is generally more informative because total risk matters when diversification is limited.
References
Reviewed by Sahil, Senior Finance & Tax Editor · Editorial policy