activity
20212026
most citedNeural Optimal Stopping Boundary

4 citations · 8 across the 11 of their papers we have counts for

collaborators

12 papers

math.CA2026

An Elementary Proof of the Hambly-Lyons Uniqueness Theorem

Josef Teichmann, Walter Schachermayer, Valentin Tissot-Daguette

We give a self-contained proof, in the bounded variation setting, of the Hambly--Lyons uniqueness theorem, which states that (total) signature identifies the path up to tree-like e…

q-fin.MF2026

Pricing with Passion: The Local Occupied Volatility (LOV) Model

Valentin Tissot-Daguette

We introduce the Local Occupied Volatility (LOV) model that sits between Dupire's local volatility and fully path-dependent dynamics. By design, the LOV model ensures automatic cal…

math.NA2026

Cylindrical Projections of Occupied Diffusions

Valentin Tissot-Daguette, Xin Zhang

Occupied diffusions offer a Markovian framework for path-dependent dynamics by lifting the state space with a flow of occupation measures. Because this additional feature is infini…

q-fin.MF2026

Bid--Ask Martingale Optimal Transport

Bryan Liang, Marcel Nutz, Shunan Sheng +1

Martingale Optimal Transport (MOT) provides a framework for robust pricing and hedging of illiquid derivatives. Classical MOT enforces exact calibration of model marginals to the m…

math.OC2024★ 1 cited

Controlled Occupied Processes and Viscosity Solutions

H. Mete Soner, Valentin Tissot-Daguette, Jianfeng Zhang

We consider the optimal control of occupied processes which record all positions of the state process. Dynamic programming yields nonlinear equations on the space of positive measu…

math.PR2023★ 1 cited

Occupied Processes: Going with the Flow

Valentin Tissot-Daguette

A stochastic process becomes occupied when it is enlarged with its occupation flow that tracks the time spent by the path at each level. When is Markov, the o…

math.NA2023

Deep Level-set Method for Stefan Problems

Mykhaylo Shkolnikov, H. Mete Soner, Valentin Tissot-Daguette

We propose a level-set approach to characterize the region occupied by the solid in Stefan problems with and without surface tension, based on their recent probabilistic reformulat…

math.PR2023

Stopping Times of Boundaries: Relaxation and Continuity

H. Mete Soner, Valentin Tissot-Daguette

We study the properties of the free boundaries and the corresponding hitting times in the context of optimal stopping in discrete time. We first prove the continuity of the map fro…

q-fin.MF2022★ 1 cited

Functional Expansions

Bruno Dupire, Valentin Tissot-Daguette

Path dependence is omnipresent in many disciplines such as engineering, system theory and finance. It reflects the influence of the past on the future, often expressed through func…

q-fin.CP2022★ 1 cited

Deep Stochastic Optimization in Finance

A. Max Reppen, H. Mete Soner, Valentin Tissot-Daguette

This paper outlines, and through stylized examples evaluates a novel and highly effective computational technique in quantitative finance. Empirical Risk Minimization (ERM) and neu…

q-fin.PR2022★ 4 cited

Neural Optimal Stopping Boundary

A. Max Reppen, H. Mete Soner, Valentin Tissot-Daguette

A method based on deep artificial neural networks and empirical risk minimization is developed to calculate the boundary separating the stopping and continuation regions in optimal…

q-fin.MF2021

Projection of Functionals and Fast Pricing of Exotic Options

Valentin Tissot-Daguette

We investigate the approximation of path functionals. In particular, we advocate the use of the Karhunen-Loève expansion, the continuous analogue of Principal Component Analysis, t…