Financial Statistics

Historical Value at Risk

Inspect a historical loss threshold and empirical tail average without assuming a normal return distribution.

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 historical period returns (%), confidence (%), current portfolio value.
  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

Loss samples = −return × portfolio; VaR uses nearest-rank loss percentile ceil(confidence×n); tail mean averages losses at or above that rank.

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. No time scaling. Threshold and tail loss are floored at zero. Small samples are unstable; losses may exceed the estimate.

Worked example

For the sample inputs shown above, historical value at risk produces a first result of approximately 500. The assumptions below explain what this result represents.

What the result means

Inspect a historical loss threshold and empirical tail average without assuming a normal return distribution.

Common questions

How is the calculation performed?

Loss samples = −return × portfolio; VaR uses nearest-rank loss percentile ceil(confidence×n); tail mean averages losses at or above that rank.

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. No time scaling. Threshold and tail loss are floored at zero. Small samples are unstable; losses may exceed the estimate.

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: www.itl.nist.gov — financial method. FinanceMath implements its own calculator.