Aggregation of Correlated Risk Portfolios: Models and Algorithms

This paper presents a set of tools for modeling and combining correlated risks. Various correlation structures are generated using copula, common mixture, component, and distortion models. These correlation structures are specified in terms of (i) the joint cumulative distribution function or (ii) the joint characteristic function and lend themselves to efficient methods of aggregation by using Monte Carlo simulation or fast Fourier transform.