Makam, Vaishno Devi; Millossovich, Pietro; Tsanakas, Andreas - 2021
We introduce an approach to sensitivity analysis of quantitative risk models, for the purpose of identifying the most influential inputs. The proposed approach relies on a change of measure derived by minimising the $\chi^2$-divergence, subject to a constraint (`stress') on the expectation of a...