  In this paper, we use the modern setting of functional empirical processes
and recent techniques on uniform estimation for non parametric objects to
derive consistency bands for the mean excess function in the i.i.d. case. We
apply our results for modelling financial data, in particular Dow Jones data
basis to see how good the Generalized hyperbolic distribution models fit
monthly data.
