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20112026
most citedPathwise CVA Regressions With Oversimulated Defaults

2 citations · 2 across the 5 of their papers we have counts for

collaborators

6 papers

math.OC2026

A posteriori error bounds for the Uncertain Volatility Model

Lokman A Abbas-Turki, Chassagneux Jean-Fran{\c c}ois, Jean-Philippe Lemor +2

We develop a posteriori primal-dual bounds for numerical approximations of European option prices in the Uncertain Volatility Model. Given a smooth candidate approximation of the v…

q-fin.CP2026

Stochastic Policy Gradient Methods in the Uncertain Volatility Model

Lokman A Abbas-Turki, Jean-François Chassagneux, Jean-Fran{\c c}ois Chassagneux +4

The multidimensional Uncertain Volatility Model leads to robust option pricing problems under joint volatility and correlation uncertainty. Their numerical resolution quickly becom…

q-fin.RM2024

An Explicit Scheme for Pathwise XVA Computations

Lokman Abbas-Turki, Stéphane Crépey, Botao Li +1

Motivated by the equations of cross valuation adjustments (XVAs) in the realistic case where capital is deemed fungible as a source of funding for variation margin, we introduce a…

q-fin.CP2022★ 2 cited

Pathwise CVA Regressions With Oversimulated Defaults

Lokman Abbas-Turki, Stéphane Crépey, Bouazza Saadeddine

We consider the computation by simulation and neural net regression of conditional expectations, or more general elicitable statistics, of functionals of processes . Here…

math.OC2014

Impulse Control of a Diffusion with a Change Point

Lokman A. Abbas-Turki, Ioannis Karatzas, Qinghua Li

This paper solves a Bayes sequential impulse control problem for a diffusion, whose drift has an unobservable parameter with a change point. The partially-observed problem is refor…

q-fin.PR2011

American Options Based on Malliavin Calculus and Nonparametric Variance Reduction Methods

Lokman Abbas-Turki, Bernard Lapeyre

This paper is devoted to pricing American options using Monte Carlo and the Malliavin calculus. Unlike the majority of articles related to this topic, in this work we will not use…