activity
20052020
most citedOn some Non Asymptotic Bounds for the Euler Scheme

62 citations · 292 across the 13 of their papers we have counts for

collaborators

14 papers

q-fin.MF2020

Stationary Heston model: Calibration and Pricing of exotics using Product Recursive Quantization

Vincent Lemaire, Thibaut Montes, Gilles Pagès

A major drawback of the Standard Heston model is that its implied volatility surface does not produce a steep enough smile when looking at short maturities. For that reason, we int…

q-fin.CP2019★ 1 cited

Quantization-based Bermudan option pricing in the world

Jean-Michel Fayolle, Vincent Lemaire, Thibaut Montes +1

This paper proposes two numerical solution based on Product Optimal Quantization for the pricing of Foreign Echange (FX) linked long term Bermudan options e.g. Bermudan Power Rever…

math.PR2019★ 12 cited

New Weak Error bounds and expansions for Optimal Quantization

Vincent Lemaire, Thibaut Montes, Gilles Pagès

We propose new weak error bounds and expansion in dimension one for optimal quantization-based cubature formula for different classes of functions, such that piecewise affine funct…

math.PR2018

Thinning and Multilevel Monte Carlo for Piecewise Deterministic (Markov) Processes. Application to a stochastic Morris-Lecar model

Vincent Lemaire, Michèle Thieullen, Nicolas Thomas

In the first part of this paper we study approximations of trajectories of Piecewise Deter-ministic Processes (PDP) when the flow is not explicit by the thinning method. We also es…

math.PR2018★ 7 cited

Weak error for nested Multilevel Monte Carlo

Daphné Giorgi, Vincent Lemaire, Gilles Pagès

This article discusses MLMC estimators with and without weights, applied to nested expectations of the form E [f (E [F (Y, Z)|Y ])]. More precisely, we are interested on the assump…

math.PR2016★ 24 cited

Exact simulation of the jump times of a class of Piecewise Deterministic Markov Processes

Vincent Lemaire, Michèle Thieullen, Nicolas Thomas

In this paper, we are interested in the exact simulation of a class of Piecewise Deterministic Markov Processes (PDMP). We show how to perform efficient thinning algorithms dependi…