Perpetuities with thin tails revisited
Abstract
We consider the tail behavior of random variables R which are solutions of the distributional equation Rd=Q+MR, where (Q,M) is independent of R and |M| 1. Goldie and Gr\"ubel showed that the tails of R are no heavier than exponential and that if Q is bounded and M resembles near 1 the uniform distribution, then the tails of R are Poissonian. In this paper, we further investigate the connection between the tails of R and the behavior of M near 1. We focus on the special case when Q is constant and M is nonnegative.
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