activity
20092026
most citedA stochastic maximum principle via Malliavin calculus

8 citations · 53 across the 24 of their papers we have counts for

collaborators

33 papers

cs.LG2026

Universality and Approximation Rates of Graph Neural Networks with Random Features

Lukas Gonon, Thilo Meyer-Brandis, Niklas Weber

We investigate message-passing graph neural networks with random node features. Random node features are known to enhance the expressiveness of graph neural networks (GNNs) both th…

math.PR2026

On McKean-Vlasov SDEs with polynomial drifts for SIS epidemic models

Alexander Kalinin, Thilo Meyer-Brandis, Annika Steibel

We present a tractable class of one-dimensional McKean-Vlasov equations that allow for unique strong solutions and extend the dynamics of various SIS epidemic models that are well-…

math.PR2025

Regularity of Solutions of Mean-Field -SDEs

Karl-Wilhelm Georg Bollweg, Thilo Meyer-Brandis

We study regularity properties of the unique solution of a mean-field -SDE. More precisely, we consider a mean-field -SDE with square-integrable random initial condition and…

q-fin.CP2024

Computing Systemic Risk Measures with Graph Neural Networks

Lukas Gonon, Thilo Meyer-Brandis, Niklas Weber

This paper investigates systemic risk measures for stochastic financial networks of explicitly modelled bilateral liabilities. We extend the notion of systemic risk measures from B…

math.PR2024★ 3 cited

Mean-Field SDEs driven by -Brownian Motion

Karl-Wilhelm Georg Bollweg, Thilo Meyer-Brandis

We extend the notion of mean-field SDEs to SDEs driven by -Brownian motion. More precisely, we consider a -SDE where the coefficients depend not only on time and the current…

q-fin.MF2023★ 1 cited

Supplement Liquidity based modeling of asset price bubbles via random matching

Francesca Biagini, Andrea Mazzon, Thilo Meyer-Brandis +1

This is a supplement to the paper "Liquidity based modeling of asset price bubbles via random matching". The supplement is organized as follows. First, we prove Theorem 3.13 in [1]…

q-fin.MF2023

Collective Arbitrage and the Value of Cooperation

Francesca Biagini, Alessandro Doldi, Jean-Pierre Fouque +2

We introduce the notions of Collective Arbitrage and of Collective Super-replication in a discrete-time setting where agents are investing in their markets and are allowed to coope…

q-fin.MF2022

Liquidity based modeling of asset price bubbles via random matching

Francesca Biagini, Andrea Mazzon, Thilo Meyer-Brandis +1

In this paper we study the evolution of asset price bubbles driven by contagion effects spreading among investors via a random matching mechanism in a discrete-time version of the…

q-fin.MF2022★ 2 cited

Detecting asset price bubbles using deep learning

Francesca Biagini, Lukas Gonon, Andrea Mazzon +1

In this paper we employ deep learning techniques to detect financial asset bubbles by using observed call option prices. The proposed algorithm is widely applicable and model-indep…

math.PR2022★ 4 cited

Stability, uniqueness and existence of solutions to McKean-Vlasov SDEs in arbitrary moments

Alexander Kalinin, Thilo Meyer-Brandis, Frank Proske

We deduce stability and pathwise uniqueness for a McKean-Vlasov equation with random coefficients and a multidimensional Brownian motion as driver. Our analysis focuses on a non-Li…

q-fin.MF2021

Large Platonic Markets with Delays

Yannick Limmer, Thilo Meyer-Brandis

The objective is to develop a general stochastic approach to delays on financial markets. We suggest such a concept in the context of large platonic markets, which allow infinitely…

math.PR2021★ 1 cited

Stability, uniqueness and existence of solutions to McKean-Vlasov SDEs: a multidimensional Yamada-Watanabe approach

Alexander Kalinin, Thilo Meyer-Brandis, Frank Proske

We establish stability and pathwise uniqueness of solutions to Wiener noise driven McKean-Vlasov equations with random non-Lipschitz continuous coefficients. In the deterministic c…

q-fin.RM2020

Suffocating Fire Sales

Nils Detering, Thilo Meyer-Brandis, Konstantinos Panagiotou +1

Fire sales are among the major drivers of market instability in modern financial systems. Due to iterated distressed selling and the associated price impact, initial shocks to some…

math.PR2019★ 7 cited

McKean-Vlasov equations on infinite-dimensional Hilbert spaces with irregular drift and additive fractional noise

Martin Bauer, Thilo Meyer-Brandis

This paper establishes results on the existence and uniqueness of solutions to McKean-Vlasov equations, also called mean-field stochastic differential equations, in an infinite-dim…

math.PR2019★ 3 cited

Strong Solutions of Mean-Field SDEs with irregular expectation functional in the drift

Martin Bauer, Thilo Meyer-Brandis

We analyze multi-dimensional mean-field stochastic differential equations where the drift depends on the law in form of a Lebesgue integral with respect to the pushforward measure…

math.PR2019★ 7 cited

Existence and Regularity of Solutions to Multi-Dimensional Mean-Field Stochastic Differential Equations with Irregular Drift

Martin Bauer, Thilo Meyer-Brandis

We examine existence and uniqueness of strong solutions of multi-dimensional mean-field stochastic differential equations with irregular drift coefficients. Furthermore, we establi…

q-fin.MF2019

Systemic Optimal Risk Transfer Equilibrium

Francesca Biagini, Alessandro Doldi, Jean-Pierre Fouque +2

We propose a novel concept of a Systemic Optimal Risk Transfer Equilibrium (SORTE), which is inspired by the Bühlmann's classical notion of an Equilibrium Risk Exchange. We provide…

math.PR2019

Restoration of Well-Posedness of Infinite-dimensional Singular ODE's via Noise

David Baños, Martin Bauer, Thilo Meyer-Brandis +1

In this paper we aim at generalizing the results of A. K. Zvonkin and A. Y. Veretennikov on the construction of unique strong solutions of stochastic differential equations with si…

math.PR2018

Strong Solutions of Mean-Field Stochastic Differential Equations with irregular drift

Martin Bauer, Thilo Meyer-Brandis, Frank Proske

We investigate existence and uniqueness of strong solutions of mean-field stochastic differential equations with irregular drift coefficients. Our direct construction of strong sol…

q-fin.MF2018

Financial asset bubbles in banking networks

Francesca Biagini, Andrea Mazzon, Thilo Meyer-Brandis

We consider a banking network represented by a system of stochastic differential equations coupled by their drift. We assume a core-periphery structure, and that the banks in the c…

q-fin.MF2018

On Fairness of Systemic Risk Measures

Francesca Biagini, Jean-Pierre Fouque, Marco Frittelli +1

In our previous paper, "A Unified Approach to Systemic Risk Measures via Acceptance Set" (\textit{Mathematical Finance, 2018}), we have introduced a general class of systemic risk…

q-fin.RM2018★ 4 cited

Financial Contagion in a Generalized Stochastic Block Model

Nils Detering, Thilo Meyer-Brandis, Konstantinos Panagiotou +1

One of the most defining features of the global financial network is its inherent complex and intertwined structure. From the perspective of systemic risk it is important to unders…

q-fin.MF2017★ 3 cited

Local risk-minimization with multiple assets under illiquidity with applications in energy markets

Panagiotis Christodoulou, Nils Detering, Thilo Meyer-Brandis

We propose a hedging approach for general contingent claims when liquidity is a concern and trading is subject to transaction cost. Multiple assets with different liquidity levels…

q-fin.MF2016

Liquidity induced asset bubbles via flows of ELMMs

Francesca Biagini, Andrea Mazzon, Thilo Meyer-Brandis

We consider a constructive model for asset price bubbles, where the market price is endogenously determined by the trading activity on the market and the fundamental price $W^F…