  We find the perhaps surprising inequality that the weighted average of
independent and identically distributed Pareto random variables with infinite
mean is larger than one such random variable in the sense of first-order
stochastic dominance. This result holds for more general models including
super-Pareto distributions, negative dependence, and triggering events, and
yields superadditivity of the risk measure Value-at-Risk for these models.
