Copula based hierarchical risk aggregation through sample reordering

► Prudent risk aggregation requires specification of dependence between risks. ► Dependence can be modelled with copulas, but this is difficult in high dimensions. ► We propose a hierarchical risk aggregation model. ► Our model allows for flexible dependence structure and reduced model complexity. ► For approximation, we give an efficient algorithm based on sample reorderings.