In this paper we investigate the extremal behaviour of aggregated risk for a specific parametrised multivariate dependence framework. Furthermore we discuss conditional limit results and extremal behaviour of both maximum and aggregated log-elliptical risk. Our application establishes the logarithmic efficiency of the Rojas-Nandaypa algorithm for rare-event simulation of log-elliptical risks.