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Understanding VaR and CVaR Calculations

5 min læsetidSidst opdateret 2026-02-01

VaR and CVaR

Advanced risk measurement tools.

Value at Risk (VaR)

Definition: Maximum expected loss at a given confidence level over a specific time period.

Example: "95% VaR of $5,000" means there's a 5% chance of losing more than $5,000.

Conditional VaR (CVaR)

Definition: Expected loss when losses exceed VaR. Also called Expected Shortfall.

Example: "CVaR of $8,000" means if losses exceed VaR, expect average loss of $8,000.

Calculation Methods

  1. 1. Historical: Uses past data
  2. 2. Parametric: Assumes normal distribution
  3. 3. Monte Carlo: Simulates scenarios

Our Approach

We use all three methods and present:

  • Conservative estimate
  • Expected case
  • Worst case

Using VaR/CVaR

  • Set position sizes
  • Determine risk budget
  • Compare investments
  • Regulatory compliance
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