Three Methodologies for Calculating VaR
There are three major methodologies for calculating VaR.
- Parametric
- Monte Carlo
- Historical
Note that the risk of nonlinear instruments (for example, options) is more complex to estimate than the risk of linear instruments (for example, traditional stocks, bonds, swaps, forwards, and futures), which can be approximated with simple formulas.
Financial instruments are nonlinear when their price does not change by a constant amount given a small movement in an underlying reference asset.
Brief Description
Brief description and use of each approach:
| Type | Description | Use |
|---|---|---|
| Parametric | Estimates VaR with equation that specifies parameters (for example, volatility and correlation) as input. | Accurate for traditional assets and linear derivatives, but less accurate for nonlinear derivatives |
| Monte Carlo | Estimates VaR by simulating random scenarios and revaluing instruments in the portfolio | Appropriate for all types of instruments, linear or nonlinear |
| Historical | Estimates VaR by reliving history; we take actual | |
| historical rates and revalue a portfolio for each |
change in the market | Appropriate for all types of instruments, linear or non-linear |
Advantages and Disadvantages
| Type | Advantages | Disadvantages |
|---|---|---|
| Parametric | Fast and simple to calculate | Less accurate for non-linear portfolios |
| Monte Carlo | - Accurate for non-linear instruments - You get a full distribution of potential portfolios (not just a specific percentile) - You can use various distributional assumptions (normal, T-distribution, and so on) | Takes a lot of computational power (and hence a longer time to estimate results) |
| Historical | - Accurate for non-linear instruments - You get a full distribution of potential portfolios (not just a specific percentile) - No need to make distributional assumptions | - You need a significant amount of daily rate history (at least a year, preferably much more) - You need significant computational power for revaluing the portfolio under each scenario. |
From a user's perspective, the important point to remember is that if you have significant nonlinear exposures in your portfolio, a simulation approach will generally be more accurate for estimating VaR than a parametric approximation--however, at the cost of greater complexity and computational requirements.
Three Approaches
All three approaches for estimating VaR have something to offer and can be used together to get a more robust estimate of VaR. For example, a parametric approach may be used to get an instant snapshot of risks taken during a trading day, while a simulation approach may be used to provide a fuller picture of risks (in particular, nonlinear risks) on a next-day basis.
Downloads
Resources
Value at Risk - Excel Spreadsheets Bundle
This bundle contains two spreadsheets to help calculate value-at-risk in excel. Monte Carlo Simulation - Single Asset Template: This spreadsheet provides a step-by-step example of how to calculate the VaR of an asset using Monte Carlo Simulation. Parametric VaR Spreadsheet: This spreadsheet helps you calculate the VaR of a two-asset and a three-asset portfolio using the Parametric VaR method.
