Finance Train LogoFinance Train
Learning LibraryTemplatesBlog
Data Science Bundle
Finance TrainFinance Train
Learning LibraryTemplatesBlog
Data Science Bundle
Lesson 5 of 8

Parametric VaR Estimation

We will now learn how to calculate the VaR of one position and two positions by applying the concept of volatilities and correlations.

The following examples of how to calculate the risk of one and two positions illustrate the basic concept of parametric (delta) VaR estimation for linear instruments.

The general steps for calculating VaR are:

Step 1: Set VaR parameters: probability of loss and confidence level, time horizon, and base currency.

Step 2: Determine market value of each position, in base currency.

Step 3: Calculate VaR of individual positions, given market volatilities.

Step 4: Calculate portfolio VaR, given correlations between all variables.

VaR can be estimated as follows:

VaR = Market value X Price volatility

We will generally use the term volatility to express a multiple of standard deviation, depending on our chosen confidence level for VaR (i.e., confidence level multiple X standard deviation). Therefore, if we are using a VaR confidence level of 95%, volatility will refer to 1.65 X standard deviation.

Previous Lesson

Statistical Foundations: Predicting Volatility

Next Lesson

Risk of a Single Cash Position

Back to ebook

Statistical Foundations of VaR

8 lessons

Lessons

1
Understanding Normal Distribution
2
Statistical Foundations: Mean and Standard Deviation
3
Statistical Foundations: Understanding Correlations
4
Statistical Foundations: Predicting Volatility
5
Parametric VaR Estimation
6
Risk of a Single Cash Position
7
Risk of Two Cash Positions
8
Time Scaling of Volatility
Finance Train

Learn data science and AI skills for finance through practical courses and tutorials.

Learn

  • Learning Library
  • Course Directory
  • Blog

Resources

  • Templates & Downloads
  • Tools
  • Tables
  • Calculators

Company

  • About
  • Contact
  • Privacy
  • Terms

© 2026 Finance Train. All rights reserved.