# Limit theorems for integrated trawl processes with symmetric L\'evy bases

## TL;DR

This paper investigates the long-term behavior of integrated trawl processes driven by symmetric Le9vy bases, revealing various stable limit processes, including extensions of fractional Brownian motion, depending on the trawl set geometry and Le9vy measure.

## Contribution

It provides new limit theorems for integrated trawl processes with symmetric Le9vy bases, identifying stable and self-similar limits, some with finite moments, extending the understanding of their asymptotic behavior.

## Key findings

- Limit processes are stable and self-similar with stationary increments.
- Stable limits with index less than 2 can occur with finite-moment Le9vy bases.
- Some limits have dependent increments, extending fractional Brownian motion to stable processes.

## Abstract

We study long time behavior of integrated trawl processes introduced by Barndorff-Nielsen. The trawl processes form a class of stationary infinitely divisible processes, described by an infinitely divisible random measure (L\'evy base) and a family of shifts of a fixed set (trawl). We assume that the L\'evy base is symmetric and homogeneous and that the trawl set is determined by the trawl function that decays slowly. Depending on the geometry of the trawl set and on the L\'evy measure corresponding to the L\'evy base we obtain various types of limits in law of the normalized integrated trawl processes for large times. The limit processes are always stable and self-similar with stationary increments. In some cases they have independent increments - they are stable L\'evy processes where the index of stability depends on the parameters of the model. We show that stable limits with stability index smaller than 2 may appear even in cases when the underlying L\'evy base has all its moments finite. In other cases, the limit process has dependent increments and it may be considered as a new extension of fractional Brownian motion to the class of stable processes.