Convergence of Heavy‐Tailed Hawkes Processes and the Microstructure of Rough Volatility

ABSTRACT We establish the weak convergence of the intensity of a nearly‐unstable Hawkes process with heavy‐tailed kernel. Our result is used to derive a scaling limit for a financial market model where orders to buy or sell an asset arrive according to a Hawkes process with power‐law kernel. After suitable rescaling the price‐volatility process converges weakly to a rough Heston model. Our convergence result is stronger than previously established ones that have either focused on light‐tailed kernels or the convergence of integrated volatility process. The key is to establish the tightness of the family of rescaled volatility processes. This is achieved by introducing a new method to establish the ‐tightness of càdlàg processes based on the classical Kolmogorov‐Chentsov tightness criterion for continuous processes.

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Publication Details

Journal
Mathematical Finance
Published
2026-11-01
DOI
https://doi.org/10.1111/mafi.70064
Citations
2
Primary Topic
Stochastic processes and financial applications
Type
article
Field-Weighted Citation Impact
0.00

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article

Convergence of Heavy‐Tailed Hawkes Processes and the Microstructure of Rough Volatility

Ulrich Horst, Wei Xu
2 citations
Mathematical Finance
Stochastic processes and financial applications
article

Convergence of Heavy‐Tailed Hawkes Processes and the Microstructure of Rough Volatility

Ulrich Horst, Wei Xu
article en
2 citations

Abstract

ABSTRACT We establish the weak convergence of the intensity of a nearly‐unstable Hawkes process with heavy‐tailed kernel. Our result is used to derive a scaling limit for a financial market model where orders to buy or sell an asset arrive according to a Hawkes process with power‐law kernel. After suitable rescaling the price‐volatility process converges weakly to a rough Heston model. Our convergence result is stronger than previously established ones that have either focused on light‐tailed kernels or the convergence of integrated volatility process. The key is to establish the tightness of the family of rescaled volatility processes. This is achieved by introducing a new method to establish the ‐tightness of càdlàg processes based on the classical Kolmogorov‐Chentsov tightness criterion for continuous processes.

Mathematical Finance
Beijing Institute of Technology (CN), Humboldt-Universität zu Berlin (DE)
Deutsche Forschungsgemeinschaft
Openalex Percentile: Top 100%
Stochastic processes and financial applications
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