activity
20232026
most citedDeep learning for quadratic hedging in incomplete jump market

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

collaborators

5 papers

math.PR2026

A time-fractional Kalman filter

Olfa Draouil, Rahma Yasmina Moulay Hachemi, Bernt Øksendal +1

We study a linear filtering problem in which the signal process is described by a time-fractional linear stochastic differential equation driven by Brownian motion. We derive a sto…

math.PR2024

A Kalman filter for linear systems driven by time-space Brownian sheet

Nacira Agram, Bernt Øksendal, Frank Proske +1

We study a linear filtering problem where the signal and observation processes are described as solutions of linear stochastic differential equations driven by time-space Brownian…

q-fin.TR2024★ 3 cited

Deep learning for quadratic hedging in incomplete jump market

Nacira Agram, Bernt Øksendal, Jan Rems

We propose a deep learning approach to study the minimal variance pricing and hedging problem in an incomplete jump diffusion market. It is based upon a rigorous stochastic calculu…

math.OC2023

Optimal control of SPDEs driven by time-space Brownian motion

Nacira Agram, Bernt Øksendal, Frank Proske +1

In this paper we study a Pontryagin type stochastic maximum principle for the optimal control of a system, where the state dynamics satisfy a stochastic partial differential equati…

math.OC2023★ 2 cited

Impulse control of conditional McKean-Vlasov jump diffusions

Nacira Agram, Giulia Pucci, Bernt Oksendal

This paper establishes a verification theorem for impulse control problems involving conditional McKean-Vlasov jump diffusions. We obtain a Markovian system by combining the state…