We introduce a numerical algorithm which allows for the computation of sharp upper and lower bounds on the Value-at-Risk/Expected Shortfall of high-dimensional risk portfolios having fixed marginal distributions.
These bounds can be interpreted as a measure of model uncertainty induced by possible dependence scenarios.
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