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A multivariate FGD technique to improve VaR computation in equity markets

Audrino, Francesco ; Barone-Adesi, Giovanni

We present a multivariate, non-parametric technique for constructing reliable daily VaR predictions for individual assets belonging to a common equity market segment, which takes also into account the possible dependence structure between the assets and is still computationally feasible in large dimensions. The procedure is based on functional gradient descent (FGD) estimation for the volatility...