Open Access
April 2018 Zooming in on a Lévy process at its supremum
Jevgenijs Ivanovs
Ann. Appl. Probab. 28(2): 912-940 (April 2018). DOI: 10.1214/17-AAP1320

Abstract

Let $M$ and $\tau$ be the supremum and its time of a Lévy process $X$ on some finite time interval. It is shown that zooming in on $X$ at its supremum, that is, considering $((X_{\tau+t\varepsilon}-M)/a_{\varepsilon})_{t\in\mathbb{R}}$ as $\varepsilon\downarrow0$, results in $(\xi_{t})_{t\in\mathbb{R}}$ constructed from two independent processes having the laws of some self-similar Lévy process $\widehat{X}$ conditioned to stay positive and negative. This holds when $X$ is in the domain of attraction of $\widehat{X}$ under the zooming-in procedure as opposed to the classical zooming out [Trans. Amer. Math. Soc. 104 (1962) 62–78]. As an application of this result, we establish a limit theorem for the discretization errors in simulation of supremum and its time, which extends the result in [Ann. Appl. Probab. 5 (1995) 875–896] for a linear Brownian motion. Additionally, complete characterization of the domains of attraction when zooming in on a Lévy process is provided.

Citation

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Jevgenijs Ivanovs. "Zooming in on a Lévy process at its supremum." Ann. Appl. Probab. 28 (2) 912 - 940, April 2018. https://doi.org/10.1214/17-AAP1320

Information

Received: 1 October 2016; Revised: 1 April 2017; Published: April 2018
First available in Project Euclid: 11 April 2018

zbMATH: 06897947
MathSciNet: MR3784492
Digital Object Identifier: 10.1214/17-AAP1320

Subjects:
Primary: 60F17 , 60G51
Secondary: 60G18 , 60G52

Keywords: Conditioned to stay positive , discretization error , domains of attraction , Euler scheme , Functional limit theorem , high frequency statistics , invariance principle , mixing convergence , scaling limits , self-similarity , small-time behaviour

Rights: Copyright © 2018 Institute of Mathematical Statistics

Vol.28 • No. 2 • April 2018
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