activity
20052024
most citedA regression-based Monte Carlo method to solve backward stochastic differential equations

425 citations · 594 across the 33 of their papers we have counts for

collaborators
Showing 2016Show all

5 papers · 1 filter

math.NA2016★ 3 cited

Numerical approximation of BSDEs using local polynomial drivers and branching processes

Bruno Bouchard, Xiaolu Tan, Xavier Warin +1

We propose a new numerical scheme for Backward Stochastic Differential Equations based on branching processes. We approximate an arbitrary (Lipschitz) driver by local polynomials a…

q-fin.PM2016

The Asset Liability Management problem of a nuclear operator : a numerical stochastic optimization approach

Xavier Warin

We numerically study an Asset Liability Management problem linked to the decommissioning of French nuclear power plants. We link the risk aversion of practitioners to an optimizati…

math.PR2016

Branching diffusion representation of semilinear PDEs and Monte Carlo approximation

Pierre Henry-Labordere, Nadia Oudjane, Xiaolu Tan +2

We provide a representation result of parabolic semi-linear PD-Es, with polynomial nonlinearity, by branching diffusion processes. We extend the classical representation for KPP eq…

q-fin.CP2016

Numerical approximation of a cash-constrained firm value with investment opportunities

Erwan Pierre, Stéphane Villeneuve, Xavier Warin

We consider a singular control problem with regime switching that arises in problems of optimal investment decisions of cash-constrained firms. The value function is proved to be t…

math.PR2016

Unbiased Monte Carlo estimate of stochastic differential equations expectations

Mahamadou Doumbia, Nadia Oudjane, Xavier Warin

We develop a pure Monte Carlo method to compute where is a bounded and Lipschitz function and an Ito process. This approach extends a previously proposed meth…