Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
7550331 | Stochastic Processes and their Applications | 2018 | 19 Pages |
Abstract
We study subexponential tail asymptotics for the distribution of the maximum Mtâsupuâ[0,t]Xu of a process Xt with negative drift for the entire range of t>0. We consider compound renewal processes with linear drift and Lévy processes. For both processes we also formulate and prove the principle of a single big jump for their maxima. The class of compound renewal processes with drift particularly includes the Cramér-Lundberg renewal risk process.
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Physical Sciences and Engineering
Mathematics
Mathematics (General)
Authors
Dmitry Korshunov,