| 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.
											Keywords
												
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													Physical Sciences and Engineering
													Mathematics
													Mathematics (General)
												
											Authors
												Dmitry Korshunov, 
											