Estimate how much your portfolio could lose over a chosen time horizon at a given confidence level.
Use the annualized standard deviation of portfolio returns.
Typical choices are 1, 10, or 20 trading days.
VaR is calculated using a variance–covariance (parametric) approach with normal distribution assumptions and 252 trading days per year.
Value at Risk (VaR) is a risk measurement that estimates the maximum expected loss of a portfolio over a specified time horizon at a given confidence level. For example, a 1‑day 95% VaR of $5,000 means you expect to lose more than $5,000 on no more than 5% of trading days.
This calculator uses the parametric (variance–covariance) VaR method with a normal distribution assumption:
VaR = Portfolio Value × Z × σt where: - Z is the z-score for the selected confidence level - σt is the volatility scaled to the chosen time horizon: σt = (Annual Volatility / √252) × √(Time Horizon in days)
Common Z‑values:
Use VaR as one tool among many in your risk management process, alongside stress testing and scenario analysis.