Extremes of supOU Processes

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29 Scopus citations

Abstract

Barndorff-Nielsen and Shephard [3] investigate supOU processes as volatility models. Empirical volatility has tails heavier than normal, long memory in the sense that the empirical autocorrelation function decreases slower than exponential, and exhibits volatility clusters on high levels. We investigate supOU processes with respect to these stylized facts. The class of supOU processes is vast and can be distinguished by its underlying driving Levy process. Within the class of convolution equivalent distributions we shall show that extremal clusters and long range dependence only occur for supOU processes, whose underlying driving Levy process has regularly varying increments. The results on the extremal behavior of supOU processes correspond to the results of classical Lévy-driven OU processes.

Original languageEnglish
Title of host publicationStochastic Analysis and Applications
Subtitle of host publicationThe Abel Symposium 2005 - Proceedings of the 2nd Abel Symposium, Held in Honor of Kiyosi Ito
PublisherSpringer Verlag
Pages339-359
Number of pages21
ISBN (Print)3540708464, 9783540708469
DOIs
StatePublished - 2007
Event2nd Abel Symposium 2005: Stochastic Analysis and Applications - Oslo, Norway
Duration: 29 Jul 20054 Aug 2005

Publication series

NameStochastic Analysis and Applications: The Abel Symposium 2005 - Proceedings of the 2nd Abel Symposium, Held in Honor of Kiyosi Ito

Conference

Conference2nd Abel Symposium 2005: Stochastic Analysis and Applications
Country/TerritoryNorway
CityOslo
Period29/07/054/08/05

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