, Volume 14, Issue 1, pp 63–125

Veraverbeke’s theorem at large: on the maximum of some processes with negative drift and heavy tail innovations


DOI: 10.1007/s10687-010-0103-9

Cite this article as:
Barbe, P. & McCormick, W.P. Extremes (2011) 14: 63. doi:10.1007/s10687-010-0103-9


Veraverbeke’s (Stoch Proc Appl 5:27–37, 1977) theorem relates the tail of the distribution of the supremum of a random walk with negative drift to the tail of the distribution of its increments, or equivalently, the probability that a centered random walk with heavy-tail increments hits a moving linear boundary. We study similar problems for more general processes. In particular, we derive an analogue of Veraverbeke’s theorem for fractional integrated ARMA models without prehistoric influence, when the innovations have regularly varying tails. Furthermore, we prove some limit theorems for the trajectory of the process, conditionally on a large maximum. Those results are obtained by using a general scheme of proof which we present in some detail and should be of value in other related problems.


Maximum of random walkHeavy tailFractional ARIMA processLong range dependenceBoundary crossing probabilityNonlinear renewal theory

AMS 2000 Subject Classifications

Primary—60G50; Secondary—60F9960G9960K3062P0562M1026A1226A33

Copyright information

© Springer Science+Business Media, LLC 2010

Authors and Affiliations

  1. 1.CNRS (UMR 8088)ParisFrance
  2. 2.Dept. of StatisticsUniversity of GeorgiaAthensUSA