Adaptive Bernstein Copulas and Risk Management
arXiv:2011.00909 · doi:10.3390/math8122221
Abstract
We present a constructive approach to Bernstein copulas with an admissible discrete skeleton in arbitrary dimensions when the underlying marginal grid sizes are smaller than the number of observations. This prevents an overfitting of the estimated dependence model and reduces the simulation effort for Bernstein copulas a lot. In a case study, we compare different approaches of Bernstein and Gaussian copulas w.r.t. the estimation of risk measures in risk management.
corrected version; 27 pages, 58 figures, 17 tables
References in corpus (4)
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