The situation of a limited availability of historical data is frequently encountered in portfolio risk estimation …, especially in credit risk estimation. This makes it, for example, difficult to find temporal structures with statistical … into account. The modelling framework is based on multivariate elliptical processes which model portfolio risk via sub …

In this paper we investigate the interaction between a credit portfolio and another risk type, which can be thought of … as market risk. Combining Merton-like factor models for credit risk with linear factor models for market risk, we … analytically calculate their interrisk correlation and show how inter-risk correlation bounds can be derived. Moreover, we …

state. A risk sensitivity operator induces robustness to perturbations of the approximating model conditioned on the hidden … state. Another risk sensitivity operator induces robustness to the prior distribution over the hidden state. We use these …