Robust distortion riskmetrics under symmetry, unimodality, and Wasserstein constraints
We study worst-case distortion riskmetrics over symmetric distributions with prescribed mean and variance in a Wasserstein ball around a reference distribution. Our key contribution is the construction of a reference-dependent auxiliary distortion that encodes the Wasserstein constraint while preserving symmetry under...