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Principal Component GARCH Model

Principal Component Analysis (PCA) is a technique widely used in multivariate statistics. I apply this model in finance where the estimation of parameters are practicably impossible when we have more than five assets. The conclusion is that this technique does a good job in summarizing the information in the stocks and can be used to forecast future volatility.