On the Hawkes process with different exciting functions

The Hawkes process is a simple point process, whose intensity function depends on the entire past history and is self-exciting and has the clustering property. The Hawkes process is in general non-Markovian. The linear Hawkes process has immigration-birth representation. Based on that, Fierro et al. recently introduced a generalized linear Hawkes model with different exciting functions. In this paper, we study the convergence to equilibrium, large deviation principle, and moderate deviation principle for this generalized model. This model also has connections to the multivariate linear Hawkes process. Some applications to finance are also discussed.

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Publication Details

Journal
Stochastics
Published
2025-06-28
DOI
https://doi.org/10.1080/17442508.2025.2524449
Citations
10
Primary Topic
Point processes and geometric inequalities
Type
article
Field-Weighted Citation Impact
3.73
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article

On the Hawkes process with different exciting functions

Behzad Mehrdad, Lingjiong Zhu
10 citations
Stochastics
Point processes and geometric inequalities
3.73
article

On the Hawkes process with different exciting functions

Behzad Mehrdad, Lingjiong Zhu
article en
10 citations

Abstract

The Hawkes process is a simple point process, whose intensity function depends on the entire past history and is self-exciting and has the clustering property. The Hawkes process is in general non-Markovian. The linear Hawkes process has immigration-birth representation. Based on that, Fierro et al. recently introduced a generalized linear Hawkes model with different exciting functions. In this paper, we study the convergence to equilibrium, large deviation principle, and moderate deviation principle for this generalized model. This model also has connections to the multivariate linear Hawkes process. Some applications to finance are also discussed.

StochasticsVol. 97(6)
Florida State University (US), New York University (US)
Reduced inequalities
Openalex Percentile: Top 15%
Point processes and geometric inequalities
3.73
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