activity
20152023
most citedA Unified Approach to Systemic Risk Measures via Acceptance Sets

4 citations · 7 across the 5 of their papers we have counts for

collaborators

11 papers

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.MF2021

Neural network approximation for superhedging prices

Francesca Biagini, Lukas Gonon, Thomas Reitsam

This article examines neural network-based approximations for the superhedging price process of a contingent claim in a discrete time market model. First we prove that the -quan…

q-fin.MF2021

A dynamic version of the super-replication theorem under proportional transaction costs

Francesca Biagini, Thomas Reitsam

We extend the super-replication theorems of [27] in a dynamic setting, both in the numéraire-based as well as in the numéraire-free setting. For this purpose, we generalize the not…

q-fin.MF20202 cited

Reduced-form setting under model uncertainty with non-linear affine processes

Francesca Biagini, Katharina Oberpriller

In this paper we extend the reduced-form setting under model uncertainty introduced in [5] to include intensities following an affine process under parameter uncertainty, as define…

q-fin.MF2020

Optional projection under equivalent local martingale measures

Francesca Biagini, Andrea Mazzon, Ari-Pekka Perkkiö

Motivation for this paper is to understand the impact of information on asset price bubbles and perceived arbitrage opportunities. This boils down to study optional projections of…

q-fin.MF2019

Asset Price Bubbles in market models with proportional transaction costs

Francesca Biagini, Thomas Reitsam

We study asset price bubbles in market models with proportional transaction costs and finite time horizon in the setting of [49]. By following [28], we define the…