Article ID Journal Published Year Pages File Type
7550331 Stochastic Processes and their Applications 2018 19 Pages PDF
Abstract
We study subexponential tail asymptotics for the distribution of the maximum Mt≔supu∈[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.
Related Topics
Physical Sciences and Engineering Mathematics Mathematics (General)
Authors
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