How the Sharpe ratio works
By Jude Wallis
The Sharpe ratio is excess return per unit of volatility. Subtract the risk-free rate from a portfolio's return, then divide by the standard deviation of its returns. A higher ratio means more excess return for the volatility observed over that same period.
Compound annual growth rate
10.29%
$10,000 reaches $18,000 in 6 years at that steady rate.
- Growth multiple
- 1.80x
- Total growth over the period
- 80.0%
- Gain in money
- $8,000.00
Balance at the end of each year
| Year | Balance | Multiple |
|---|---|---|
| 1 | $11,029 | 1.10x |
| 2 | $12,164 | 1.22x |
| 3 | $13,416 | 1.34x |
| 4 | $14,797 | 1.48x |
| 5 | $16,320 | 1.63x |
| 6 | $18,000 | 1.80x |
Count years of growth, not readings. Start of year one to end of year six is 6. A part year goes in as a fraction, so 18 months is 1.5.
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Discounted cash flowIn short
- The Sharpe ratio equals portfolio return minus the risk-free rate, divided by the standard deviation of portfolio returns.
- Returns, the risk-free rate and volatility must use the same period and annualisation convention before they enter the formula.
- Two portfolios can earn the same excess return but have different Sharpe ratios because one follows a more variable path.
- A Sharpe ratio is a historical summary unless its inputs are forecasts, and it does not describe the shape or timing of losses.
Excess return divided by volatility
The Sharpe ratio asks how much return a portfolio produced above a low-risk alternative for each unit of variability in its returns. Its standard form is
is the portfolio return, is the risk-free rate over the same period and is the standard deviation of returns. The numerator, , is the realised risk premium in this calculation.
Suppose a portfolio returned 12 percent, the risk-free rate was 4 percent and annualised volatility was 10 percent. Excess return is 8 percentage points and the Sharpe ratio is . The units cancel because both numerator and denominator are rates on the same scale.
The ratio is not a percentage. A result of 0.8 means 0.8 units of excess return per unit of measured volatility. It does not mean a 0.8 percent return or an 80 percent chance of success.
The risk-free rate has to match
The subtraction needs a rate that matches the return window and currency. A monthly portfolio return belongs beside a monthly risk-free return. An annual portfolio return belongs beside an annual rate. Mixing a monthly rate with an annual return makes the numerator meaningless before volatility even enters.
Currency matters because low-risk rates differ across currencies. A portfolio measured in one currency should use a rate in that currency, or the ratio starts to include an unrelated interest-rate gap. The practical proxy is usually a short government security for the relevant currency and horizon, chosen consistently across the portfolios being compared.
The risk and return guide explains why the excess part matters. Return available without taking the portfolio's market risk is not compensation for bearing that risk, so the Sharpe numerator removes it.
Annualising without changing the meaning
Sharpe ratios are often built from monthly observations and reported on an annual scale. First find the average monthly excess return and the standard deviation of monthly returns. Under the usual independent-return convention, multiply the monthly ratio by the square root of 12.
That square-root rule is a statistical convention, not a guarantee about the path. Serial correlation, stale prices and strategies that smooth reported values can make monthly volatility understate the variability that appears over longer windows. The observation frequency should therefore be stated whenever ratios are compared.
Arithmetic average return is normally used with standard deviation because both come from the same series of period returns. How CAGR works explains the compound rate between a beginning and ending value. CAGR is useful for describing growth, but dropping it into a Sharpe numerator while using period-by-period volatility in the denominator mixes two summaries.
Same return, different path
The ratio rewards a steadier path when excess return is unchanged. A portfolio returning 12 percent against a 4 percent risk-free rate has 8 percentage points of excess return. At 10 percent volatility its Sharpe ratio is 0.8. At 16 percent volatility the same excess return produces a ratio of 0.5.
That is a comparison of observed paths, not of account balances alone. Two investments can start and finish at the same values while taking very different routes between them. The one with larger swings records the larger denominator.
The risk-return explorer makes the trade visible. Move return or volatility and watch the point change position. A portfolio dominates another in this narrow comparison when it offers more return for the same volatility, or less volatility for the same return.
What the ratio measures, and what it leaves separate
Standard deviation treats upside and downside departures from the average alike. A large positive surprise raises measured volatility just as a negative surprise of the same size does. That makes the ratio consistent and easy to compare, but it does not make volatility identical to the loss experience an investor cares about.
Return distributions can also be skewed or carry rare large losses. Strategies that collect small gains and occasionally lose heavily may show calm volatility before the loss arrives. Drawdown, liquidity and concentration remain separate facts. A negative Sharpe ratio means the portfolio return was below the chosen risk-free rate over the measurement period; ranking negative ratios needs care because changing volatility can produce counterintuitive ordering.
Use the same data window, frequency, currency, risk-free proxy and fee treatment when comparing results. The ratio then answers one precise question about excess return and variability. It does not select a portfolio. This is educational material, not financial advice.
Worked examples
Eight points of excess return at 10 percent volatility
A portfolio returned 12 percent, the matching risk-free rate was 4 percent and annualised volatility was 10 percent. What is its Sharpe ratio?
- Subtract the 4 percent risk-free rate from the 12 percent portfolio return.
- Excess return is percentage points.
- Divide the excess return of 8 by volatility of 10: .
The portfolio return is 12 percent, the risk-free rate is 4 percent and volatility is 10 percent. Excess return is 8 percentage points, so the Sharpe ratio is 0.8.
The same excess return at 16 percent volatility
Another portfolio also returned 12 percent when the risk-free rate was 4 percent, but its annualised volatility was 16 percent. What is its Sharpe ratio?
- Excess return is unchanged: percentage points.
- The denominator is now 16 rather than 10.
- Divide 8 by 16: .
With a 12 percent portfolio return, 4 percent risk-free rate and 16 percent volatility, excess return is 8 percentage points and the Sharpe ratio is 0.5.
Common questions
What is a good Sharpe ratio?
There is no universal threshold. The useful comparison is between portfolios measured over the same period with the same return frequency, risk-free rate and treatment of fees. Asset class and strategy shape also matter, so a ratio should be read with drawdown and liquidity.
Can a Sharpe ratio be negative?
Yes. It is negative when portfolio return is below the chosen risk-free rate. In that case the investment was not compensated above that alternative over the measured period, and simple rankings can become awkward because a larger volatility denominator moves the negative ratio towards zero.
Why does the Sharpe ratio use standard deviation?
Standard deviation summarises how widely period returns varied around their average and can be computed consistently across portfolios. It counts positive and negative variation alike, so it measures variability rather than downside alone.
Keep reading
This page is educational material, not financial advice. The figures come from the formula shown and assume the inputs you enter hold for the whole term. Your own rate, fees, taxes and timing will differ, so treat the output as arithmetic to check a decision against, not as a recommendation.