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Value at Risk Using Principal Components Analysis

The author describes a three-step procedure for determining the value at risk (VAR) for a portfolio or security with one major source of risk. The first step uses principal component analysis to find three factors that parallel the risk source. The second step uses these factors and Monte Carlo simulation to derive the distribution of asset-price changes, and finally, VAR is determined from this distribution for a given confidence interval.