We extend the viscosity solution characterization proved in 5 for call/put
American option prices to the case of a general payoff function in a
multi-dimensional setting: the price satisfies a semilinear re-action/diffusion
type equation. Based on this, we propose two new numerical schemes inspired by
the branching processes based algorithm of 8. Our numerical experiments show
that approximating the discontinu-ous driver of the associated
reaction/diffusion PDE by local polynomials is not efficient, while a simple
randomization procedure provides very good results.
Description
Monte-Carlo methods for the pricing of American options: a semilinear
BSDE point of view
%0 Generic
%1 bouchard2017montecarlo
%A Bouchard, Bruno
%A Chau, Ki
%A Manai, Arij
%A Sid-Ali, Ahmed
%D 2017
%K stochastic-algorithm
%T Monte-Carlo methods for the pricing of American options: a semilinear
BSDE point of view
%U http://arxiv.org/abs/1712.07383
%X We extend the viscosity solution characterization proved in 5 for call/put
American option prices to the case of a general payoff function in a
multi-dimensional setting: the price satisfies a semilinear re-action/diffusion
type equation. Based on this, we propose two new numerical schemes inspired by
the branching processes based algorithm of 8. Our numerical experiments show
that approximating the discontinu-ous driver of the associated
reaction/diffusion PDE by local polynomials is not efficient, while a simple
randomization procedure provides very good results.
@misc{bouchard2017montecarlo,
abstract = {We extend the viscosity solution characterization proved in [5] for call/put
American option prices to the case of a general payoff function in a
multi-dimensional setting: the price satisfies a semilinear re-action/diffusion
type equation. Based on this, we propose two new numerical schemes inspired by
the branching processes based algorithm of [8]. Our numerical experiments show
that approximating the discontinu-ous driver of the associated
reaction/diffusion PDE by local polynomials is not efficient, while a simple
randomization procedure provides very good results.},
added-at = {2017-12-26T17:22:28.000+0100},
author = {Bouchard, Bruno and Chau, Ki and Manai, Arij and Sid-Ali, Ahmed},
biburl = {https://www.bibsonomy.org/bibtex/2b5a42df772a1e454cf36335c60d327ee/claired},
description = {Monte-Carlo methods for the pricing of American options: a semilinear
BSDE point of view},
interhash = {5c39d7fc41bd219e667e2308b8883e77},
intrahash = {b5a42df772a1e454cf36335c60d327ee},
keywords = {stochastic-algorithm},
note = {cite arxiv:1712.07383},
timestamp = {2017-12-26T17:22:28.000+0100},
title = {Monte-Carlo methods for the pricing of American options: a semilinear
BSDE point of view},
url = {http://arxiv.org/abs/1712.07383},
year = 2017
}