  A method is developed to estimate the parameters of a Levy copula of a
discretely observed bivariate compound Poisson process without knowledge of
common shocks. The method is tested in a small sample simulation study. Also,
the method is applied to a real data set and a goodness of fit test is
developed. With the methodology of this work, the Levy copula becomes a
realistic tool of the advanced measurement approach of operational risk.
