For Researchers · Value at Risk
Value at Risk for an insurance premium
Built for researchers prototyping or validating an idea. Prototype fast, reproduce exactly, and share a citable, interactive version of your model. Simulate an insurance premium live below — adjust the inputs and watch it respond, right in your browser.
Value at Risk (VaR)Live
parametric VaR & expected shortfall
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Value at Risk estimates the loss a portfolio will not exceed over a horizon at a confidence level. Parametric VaR assumes normally distributed returns and scales volatility by √time. Expected shortfall (CVaR) is the average loss in the tail beyond VaR. Educational tool, not investment advice.
Data Inspector
VaR (95%)$20,446
Expected shortfall$25,708
Horizon vol1.26%
Governing equation
Reading this result: At 95% confidence the loss should not exceed 2.0% of the portfolio over 1 day; the average loss in the worse tail beyond that (expected shortfall) is steeper still.
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Frequently asked questions
- Is this good for researchers?
- Yes — this version of "Value at Risk for an insurance premium" is framed for researchers prototyping or validating an idea. Prototype fast, reproduce exactly, and share a citable, interactive version of your model.
- Do I need to install anything?
- No. It runs in any modern browser, free, with no account required.