Quadratic optimal functional quantization of stochastic processes and numerical applications

TitleQuadratic optimal functional quantization of stochastic processes and numerical applications
Publication TypeMiscellaneous
Year of Publication2007
AuthorsGilles Pagès
Abstract

In this paper, we present an overview of the recent developments of functional quantization of stochastic processes, with an emphasis on the quadratic case. Functional quantization is a way to approximate a process, viewed as a Hilbert-valued random variable, using a nearest neighbour projection on a finite codebook. A special emphasis is made on the computational aspects and the numerical applications, in particular the pricing of some path-dependent European options.