Functional Limit Theorems for Hawkes Processes

Fuente: arXiv
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Main Authors: Horst, Ulrich, Xu, Wei
Format: Preprint
Published: 2024
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author Horst, Ulrich
Xu, Wei
author_facet Horst, Ulrich
Xu, Wei
contents We prove that the long-run behavior of Hawkes processes is fully determined by the average number and the dispersion of child events. For subcritical processes we provide FLLNs and FCLTs under minimal conditions on the kernel of the process with the precise form of the limit theorems depending strongly on the dispersion of child events. For a critical Hawkes process with weakly dispersed child events, functional central limit theorems do not hold. Instead, we prove that the rescaled intensity processes and rescaled Hawkes processes behave like CIR-processes without mean-reversion, respectively integrated CIR-processes. We provide the rate of convergence by establishing an upper bound on the Wasserstein distance between the distributions of rescaled Hawkes process and the corresponding limit process. By contrast, critical Hawkes process with heavily dispersed child events share many properties of subcritical ones. In particular, functional limit theorems hold. However, unlike subcritical processes critical ones with heavily dispersed child events display long-range dependencies.
format Preprint
id arxiv_https___arxiv_org_abs_2401_11495
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Functional Limit Theorems for Hawkes Processes
Horst, Ulrich
Xu, Wei
Probability
Statistics Theory
Mathematical Finance
Primary 60F17, 60G55, secondary 60J80
We prove that the long-run behavior of Hawkes processes is fully determined by the average number and the dispersion of child events. For subcritical processes we provide FLLNs and FCLTs under minimal conditions on the kernel of the process with the precise form of the limit theorems depending strongly on the dispersion of child events. For a critical Hawkes process with weakly dispersed child events, functional central limit theorems do not hold. Instead, we prove that the rescaled intensity processes and rescaled Hawkes processes behave like CIR-processes without mean-reversion, respectively integrated CIR-processes. We provide the rate of convergence by establishing an upper bound on the Wasserstein distance between the distributions of rescaled Hawkes process and the corresponding limit process. By contrast, critical Hawkes process with heavily dispersed child events share many properties of subcritical ones. In particular, functional limit theorems hold. However, unlike subcritical processes critical ones with heavily dispersed child events display long-range dependencies.
title Functional Limit Theorems for Hawkes Processes
topic Probability
Statistics Theory
Mathematical Finance
Primary 60F17, 60G55, secondary 60J80
url https://arxiv.org/abs/2401.11495