Monte Carlo VaR
Learn more about Monte Carlo VaR
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Learn more about Monte Carlo VaR
Last updated
Was this helpful?
The Monte Carlo VaR is a method of calculating VaR that is based on a stochastic simulation of the returns of a portfolio or asset. It allows for the consideration of non-normal return distributions and market stress scenarios.
To calculate VaR Monte Carlo, we start by specifying a mathematical model that describes the dynamics of the asset or portfolio prices, using random variables to model uncertainties. We then simulate a large number of possible price trajectories using simulation techniques.
Next, for each simulated trajectory, we calculate the corresponding loss for a certain level of confidence. Finally, we calculate the VaR by choosing the maximum loss observed in a certain percentage of simulated trajectories, such as the 1% worst case scenarios.
VaR Monte Carlo is often considered the most accurate method for calculating VaR, as it allows for the consideration of non-normal distributions and risks related to extreme events. However, it can be more complex to implement and requires detailed historical data to estimate the model parameters.
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