99% daily VaR on 100,000
Default inputs: position 100,000, 3% daily volatility, 99% confidence. The 99% z-score is about 2.326.
- VaR
- 6,979.04
- Percent of position
- 6.98%
Estimate the theoretical maximum loss on a position over a chosen horizon and confidence level, assuming normally distributed returns.
Enter position size, the volatility that matches that horizon, and a confidence level between 90% and 99.9%. Convert a volatility from another period before you type it here if needed. Figures are theoretical and for information only.
VaR answers: over this horizon, and with this confidence, how large a loss is the model willing to call the worst case? Here the model is a normal distribution with mean zero and the volatility you typed.
VaR = σ × Φ−1(c) × Position
The result rounds to two decimals. The percent-of-position figure in the explanation is 100 × VaR / position, also rounded to two decimals. Volatility is not scaled inside this page — a 3% daily number stays 3% daily.
These three cases use the same z-scores and rounding as the calculator. Type the inputs in and you should get the same VaR.
Default inputs: position 100,000, 3% daily volatility, 99% confidence. The 99% z-score is about 2.326.
Same size, 20% annual volatility, 95% confidence. The 95% z-score is about 1.645, so a fat annual vol produces a large VaR.
Position 1,000,000, 1.5% daily volatility, 99.9% confidence. A higher z-score (about 3.090) offsets the lower vol.
VaR needs a horizon-matched volatility. Convert a daily or annual number first, or use the same vol in an option price instead of a loss estimate.
Disclaimer: the contents of this website are for informational purposes only and do not constitute any investment recommendation. The visitor acts at his own risk.