We propose a new Monte Carlo simulation method to generate VaR scenarios for dependent risks on the basis of observed data. This is of particular interest for the construction of Internal Models under Solvency II. The approach is based on former work on partition-of-unity copulas, however with a direct estimation of the joint density by product beta distributions after a suitable transformation of the original data.
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