The supremum distribution of a Lévy process with no negative jumps

Author:

Harrison J. Michael

Abstract

Let be a process with stationary, independent increments and no negative jumps. Let be this same process modified by a reflecting barrier at zero (a storage process). Assuming that – and denote by ψ(s) the exponent function of X. A simple formula is derived for the Laplace transform of as a function of W(0). Using the fact that the distribution of M is the unique stationary distribution of the Markov process W, this yields an elementary proof that the Laplace transform of M is µs/ψ(s). If it follows that These surprisingly simple formulas were originally obtained by Zolotarev using analytical methods.

Publisher

Cambridge University Press (CUP)

Subject

Applied Mathematics,Statistics and Probability

Cited by 24 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Transform-based evaluation of prices and Greeks of lookback options driven by Lévy processes;The Journal of Computational Finance;2016

2. The distribution of the supremum for spectrally asymmetric Lévy processes;Electronic Communications in Probability;2015-01-01

3. Lévy Processes;Wiley StatsRef: Statistics Reference Online;2014-09-29

4. The Class of Distributions Associated with the Generalized Pollaczek-Khinchine Formula;Journal of Applied Probability;2012-09

5. The Class of Distributions Associated with the Generalized Pollaczek-Khinchine Formula;Journal of Applied Probability;2012-09

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