Publications

A non-compensated Clark–Ocone formula for functionals of counting processes
Caroline Hillairet, Thomas Peyrat and Anthony Réveillac — 2025. ESAIM: PS 29 (2025) 158–183.
In this paper, we develop a representation formula of Clark–Ocone type for any integrable Poisson functionals, which extends the Poisson imbedding for point processes. ESAIM →

Submitted & In Revision

Stress scenarios of cyber loss processes with dependencies
Caroline Hillairet, Yousra Cherkaoui, Thomas Peyrat and Anthony Réveillac — 2026.
This paper develops a stress testing framework for cyber loss processes modeled as multivariate self-exciting processes with dependencies (MSPD). It provides theoretically grounded stress scenarios that account for dynamic frequency–severity interactions, with applications to cyber risk quantification. HAL / Preprint →
A new class of self-exciting point processes with finite sizes clusters
Caroline Hillairet, Thomas Peyrat, Achille Pommier and Anthony Réveillac — 2026.
This paper introduces a new parametric family of self-exciting point processes whose cluster representation has almost surely finite size. The construction yields closed-form expressions for key quantities while preserving the self-exciting structure, offering a flexible alternative to standard Hawkes processes for applications in insurance and risk modeling. HAL / Preprint →
Multivariate Self-Exciting Processes with Dependencies
Caroline Hillairet, Thomas Peyrat and Anthony Réveillac — 2025.
This paper introduces the class of multidimensional self-exciting processes with dependencies (MSPD), which is a unifying writing for a large class of processes: counting, loss, intensity, and also shifted processes. The framework takes into account dynamic dependencies between the frequency and the severity components of the risk, and therefore induces theoretical challenges in the computations of risk valuations. HAL / Preprint →

Working Papers