Financial Statistics

Historical Sharpe Ratio

Compare historical excess return with observed volatility under a constant risk-free-rate assumption.

Your numbers

Sample inputs are illustrative. Changing currency changes labels only.

Your result

Preparing the sample calculation…

Shared links include your entered amounts. Saved scenarios stay in this tab only.

How to use this calculator

  1. Enter equal-period portfolio returns (%), matching per-period risk-free return (%), periods per year.
  2. Choose a display currency, then select Calculate. Results also update after a brief pause while you edit.
  3. Read the result with the assumptions below. Export details or save a second scenario to compare your choices.

Formula and method

Sharpe = mean(return−risk-free) / sample standard deviation(return−risk-free); annualized estimate multiplies by sqrt(periods/year).

Assumptions and limitations

Use your own matching-period observations. These descriptive calculations are not forecasts, investment advice or a national dataset. Lists accept up to 100 comma-separated numbers; do not enter thousands separators. Annualization assumes independent, identically distributed returns. Zero volatility is undefined.

Worked example

For the sample inputs shown above, historical sharpe ratio produces a first result of approximately 2. The assumptions below explain what this result represents.

What the result means

Compare historical excess return with observed volatility under a constant risk-free-rate assumption.

Common questions

How is the calculation performed?

Sharpe = mean(return−risk-free) / sample standard deviation(return−risk-free); annualized estimate multiplies by sqrt(periods/year).

What does the model leave out?

Use your own matching-period observations. These descriptive calculations are not forecasts, investment advice or a national dataset. Lists accept up to 100 comma-separated numbers; do not enter thousands separators. Annualization assumes independent, identically distributed returns. Zero volatility is undefined.

Methodology and transparency

Calculation specification reviewed on 2026-10-14. Mathematical implementation is tested against independent reference fixtures. This does not imply review by a licensed financial professional. Read the testing and precision policy.

Background reference: web.stanford.edu — financial method. FinanceMath implements its own calculator.