A Partially Comonotonic Algorithm for Loss Generation

A simple multivariate algorithm and corresponding copula are introduced which allow varying dependency as a function of loss size. In contrast to the Gaussian copula, large losses from Pareto distributions can be correlated. For the bivariate problem, special cases give the upper Frechet bound, independence, and the lower bound.