Abstract
We regard high degree stop-loss transforms as iterated equilibrium distributions to establish comparison criteria with respect to star-shape and convex transform orders. As an application, we derive monotonicity properties for exceedance probabilities, providing information on how likely these distributions are to be far from the extreme values of their support.
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