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Asymptotic Probabilities of an Exceedance Over Renewal Thresholds with an Application to Risk Theory

Part of: Special processes Stochastic processes

Published online by Cambridge University Press:  14 July 2016

Christian Y. Robert
Christian Y. Robert*
Affiliation:
CNAM and CREST
*
∗Postal address: Centre de Recherche en Economie et Statistique, Timbre J320, 15 Boulevard Gabriel Peri, 92245 Malakoff Cedex, France. Email address: [email protected]
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Abstract

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Let (Yn, Nn)n≥1 be independent and identically distributed bivariate random variables such that the Nn are positive with finite mean ν and the Yn have a common heavy-tailed distribution F. We consider the process (Zn)n≥1 defined by Zn = Yn - Σn-1, where It is shown that the probability that the maximum M = maxn≥1Zn exceeds x is approximately as x → ∞, where F' := 1 - F. Then we study the integrated tail of the maximum of a random walk with long-tailed increments and negative drift over the interval [0, σ], defined by some stopping time σ, in the case in which the randomly stopped sum is negative. Finally, an application to risk theory is considered.

Keywords

Renewal processmaximum of a random walkregenerative processstopping timeheavy-tailed distributionruin probabilityrisk theory

MSC classification

Secondary: 60G70: Extreme value theory; extremal processes 60G50: Sums of independent random variables; random walks 60G40: Stopping times; optimal stopping problems; gambling theory 60K30: Applications (congestion, allocation, storage, traffic, etc.)
Type
Research Papers
Information
Journal of Applied Probability , Volume 42 , Issue 1 , March 2005 , pp. 153 - 162
Copyright
© Applied Probability Trust 2005 

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