The Annals of Applied Probability

Cramér’s estimate for the reflected process revisited

R. A. Doney and Philip S. Griffin

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The reflected process of a random walk or Lévy process arises in many areas of applied probability, and a question of particular interest is how the tail of the distribution of the heights of the excursions away from zero behaves asymptotically. The Lévy analogue of this is the tail behaviour of the characteristic measure of the height of an excursion. Apparently, the only case where this is known is when Cramér’s condition hold. Here, we establish the asymptotic behaviour for a large class of Lévy processes, which have exponential moments but do not satisfy Cramér’s condition. Our proof also applies in the Cramér case, and corrects a proof of this given in Doney and Maller [Ann. Appl. Probab. 15 (2005) 1445–1450].

Article information

Ann. Appl. Probab., Volume 28, Number 6 (2018), 3629-3651.

Received: August 2017
Revised: April 2018
First available in Project Euclid: 8 October 2018

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Mathematical Reviews number (MathSciNet)

Zentralblatt MATH identifier

Primary: 60G51: Processes with independent increments; Lévy processes 60F10: Large deviations

Reflected Lévy process Cramér’s estimate excursion height excursion measure close to exponential convolution equivalence


Doney, R. A.; Griffin, Philip S. Cramér’s estimate for the reflected process revisited. Ann. Appl. Probab. 28 (2018), no. 6, 3629--3651. doi:10.1214/18-AAP1399.

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