A weak Local Linearization scheme for stochastic differential equations with multiplicative noise

2015/06/18 by Juan Carlos Jiménez, Jimenez, J. C., Carlos M. Mora +3
Economics, Econometrics and Finance · Mathematics · #60H10 #60H35 #65C30 #Differential Equations and Numerical Methods #FOS: Mathematics #Numerical Analysis (math.NA) #Numerical methods for differential equations #Stochastic processes and financial applications

paper · pdf · doi:10.48550/arxiv.1506.05708

openalex publication_date 2015/06/18 · openalex created_date 2025/10/10 · openalex updated_date 2026/08/01

Abstract

In this paper, a weak Local Linearization scheme for Stochastic Differential Equations (SDEs) with multiplicative noise is introduced. First, for a time discretization, the solution of the SDE is locally approximated by the solution of the piecewise linear SDE that results from the Local Linearization strategy. The weak numerical scheme is then defined as a sequence of random vectors whose first moments coincide with those of the piecewise linear SDE on the time discretization. The rate of convergence is derived and numerical simulations are presented for illustrating the performance of the scheme.

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