activity
20242026
collaborators

6 papers

math.PR2026

Comparison principles for stochastic Volterra equations

Ole Cañadas, Martin Friesen

In this work, we establish a comparison principle for stochastic Volterra equations with respect to the initial condition and the drift applicable to a wide class of Volterra k…

math.PR2026

Regular occupation measures of Volterra processes

Martin Friesen

We introduce a local non-determinism condition for Volterra Itô processes that captures smoothing properties of possibly degenerate noise. By combining the stochastic sewing lemma…

math.PR2025

Failure of the Markov property for stochastic Volterra equations

Martin Friesen, Stefan Gerhold, Kristof Wiedermann

Memory-driven stochastic dynamics arise naturally in many applications, and stochastic Volterra equations (SVEs) offer a flexible framework for modeling such systems. Their convolu…

math.PR2025

Stochastic Volterra equations: failure of the time-homogeneous Markov property

Martin Friesen, Stefan Gerhold, Kristof Wiedermann

Path-dependence is a defining feature of many real-world systems, with applications ranging from population dynamics to rough volatility models and electricity spot prices. In stoc…

math.PR2025

Limit theorems for stochastic Volterra processes

Luigi Amedeo Bianchi, Stefano Bonaccorsi, Ole Cañadas +1

We introduce an abstract Hilbert space-valued framework of Markovian lifts for stochastic Volterra equations with operator-valued Volterra kernels. Our main results address the exi…

math.PR2024

Small-time central limit theorems for stochastic Volterra integral equations and their Markovian lifts

Martin Friesen, Stefan Gerhold, Kristof Wiedermann

We study small-time central limit theorems for stochastic Volterra integral equations with Hölder continuous coefficients and general locally square integrable Volterra kernels. W…