Sharpe Ratio

The Sharpe ratio measures return per unit of risk: excess return over a risk-free rate divided by the volatility of returns.

Two strategies both made 15% last year. One got there smoothly; the other swung 30% up and down along the way. The Sharpe ratio puts that difference into a number: how much return above the risk-free rate a strategy earned for each unit of volatility it took. It is the most widely quoted risk-adjusted performance measure — and, like any single number, it hides as much as it shows. This entry explains the calculation, typical values and the main caveats.

Category
Trading Psychology and Performance
Reading time
4 min
Also called
Sharpe, Risk-adjusted return, Reward-to-volatility ratio
Updated

The Sharpe ratio in plain words

Take the return, subtract what you could have earned risk-free (for example on Treasury bills), and divide by how much the returns bounced around (their standard deviation).1

A higher Sharpe ratio means more return for each unit of volatility. A strategy returning 12% with 8% volatility, with a 4% risk-free rate, has a Sharpe ratio of (12 − 4) ÷ 8 = 1.0. See Volatility.

How to calculate the Sharpe ratio, step by step

  1. Collect periodic returns

    Daily, weekly or monthly returns of the strategy or portfolio.

  2. Subtract the risk-free rate

    For each period, or on average, using the matching short-term government rate. See Treasury Bills, Notes and Bonds.

  3. Average the excess returns

    Mean excess return per period.

  4. Measure volatility

    Standard deviation of the periodic returns.

  5. Divide

    Sharpe = mean excess return ÷ standard deviation.

  6. Annualise

    Multiply by √(periods per year): √12 for monthly, about √252 for daily.

Worked examples

Example 1 — Annual figures

Comparison

Strategy A returns 15% with 10% volatility; strategy B returns 15% with 25% volatility. The risk-free rate is 4%.

Example 1 — Annual figures — calculation
Sharpe A(15 − 4) ÷ 10 = 1.10
Sharpe B(15 − 4) ÷ 25 = 0.44

Same return, very different ride. A delivered two and a half times as much excess return per unit of volatility.

Example 2 — Annualising monthly data

Annualising

Monthly excess returns average 0.8% with a monthly standard deviation of 3%.

Example 2 — Annualising monthly data — calculation
Monthly Sharpe0.8 ÷ 3 ≈ 0.27
Annualised0.27 × √12 ≈ 0.92

Annualising makes Sharpe ratios comparable across strategies measured at different frequencies.

Example 3 — A Sharpe ratio that hides risk

Tail risk

A strategy sells far out-of-the-money options and makes small, steady gains for two years — Sharpe ratio 2.5 — then loses 40% in one month during a crash.

Example 3 — A Sharpe ratio that hides risk — calculation
Before the crashHigh Sharpe, low measured volatility
The crash−40%

Volatility-based measures can understate rare, large losses. Always look at drawdowns and the worst periods too. See Drawdown.

Sharpe ratio vs. related measures

AspectRisk measure usedBetter for
Sharpe ratioTotal volatilityGeneral comparisons
Sortino ratioDownside volatility onlyStrategies with skewed returns
Calmar ratioMaximum drawdownJudging pain of declines
Information ratioTracking error vs. a benchmarkComparing managers

Where the Sharpe ratio is used

Advantages and disadvantages

Advantages

  • Widely understood and reported.
  • Combines return and volatility in one number.
  • Allows comparison across strategies and assets.

Disadvantages

  • Treats upside and downside volatility the same.
  • Understates rare, large losses (tail risk).
  • Sensitive to the period chosen and return frequency.
  • Can be inflated by smoothed or illiquid prices.

Going deeper

Read as far as you need. Each level builds on the one before it.

What is a good Sharpe ratio?

Beginner

As a rough guide, many practitioners consider an annual Sharpe ratio around 1 good and above 2 excellent for a real track record. Backtests showing 3 or more deserve suspicion. See Overfitting.

Sortino and downside risk

Intermediate

The Sortino ratio replaces total volatility with downside volatility, so strategies with large upside swings are not penalised for them.2 See Sortino Ratio.

Assumptions behind the ratio

Advanced

The Sharpe ratio, introduced by William F. Sharpe, implicitly treats standard deviation as the full measure of risk. Returns with fat tails or negative skew, typical of option-selling and leveraged strategies, carry more risk than their Sharpe ratio suggests.

Common mistakes

  1. Comparing different frequencies

    Annualise before comparing daily and monthly figures.

  2. Ignoring drawdowns

    A high Sharpe ratio can coexist with a severe crash.

  3. Short samples

    A year of data says little about a strategy’s true Sharpe ratio.

  4. Forgetting the risk-free rate

    Excess return, not total return, goes in the numerator.

Check your understanding

Test yourself before moving on. Each answer comes with an explanation.

Q1Return 10%, risk-free 3%, volatility 14%. What is the Sharpe ratio?
Q2Why might a strategy with a high Sharpe ratio still be dangerous?

Key points to remember

  1. Sharpe = (return − risk-free rate) ÷ volatility.
  2. Higher means more excess return per unit of volatility.
  3. Annualise with √(periods per year) before comparing.
  4. It treats upside and downside volatility alike.
  5. Check drawdowns and tail risk alongside it.

Frequently asked questions

Can the Sharpe ratio be negative?

Yes, when returns are below the risk-free rate.

Is a higher Sharpe ratio always better?

Other things equal, yes — but check the sample length, drawdowns and whether the strategy carries hidden tail risk.

What is the difference between Sharpe and Sortino?

Sharpe divides by total volatility; Sortino divides only by downside volatility.

Further learning

Sources

This article is written in our own words. The sources below support the specific facts, rules and figures marked with a number in the text. Links open the original publisher’s page.

  1. William F. Sharpe, Stanford University. The Sharpe Ratio (Journal of Portfolio Management, 1994) (opens in a new tab) Checked .
  2. Charles Schwab. Using the Sortino Ratio to Gauge Downside Risk (opens in a new tab) Checked .

Read more elsewhere

Educational content, not financial advice. Examples use hypothetical prices and simplified costs; actual fees, margin rules and regulations vary by broker, market and country. Trading Metrics is our sister site, under the same ownership; we are not affiliated with any other publisher linked above. Last reviewed . Report an error or request a source credit.