A numerical Fourier cosine expansion method with higher order Taylor schemes for fully coupled FBSDEs
Balint Negyesi, Cornelis W. Oosterlee

TL;DR
This paper introduces a higher-order numerical scheme for coupled forward-backward stochastic differential equations, utilizing advanced Taylor schemes and Fourier cosine expansions to achieve improved convergence rates in both strong and weak senses.
Contribution
It presents the first fully implementable higher-order scheme for coupled FBSDEs that attains strong convergence of order 1, combining Taylor schemes with the COS method.
Findings
Achieves strong convergence order 1 for coupled FBSDEs
Demonstrates higher-order convergence in numerical experiments
Applicable to both decoupled and fully-coupled equations
Abstract
A higher-order numerical method is presented for scalar valued, coupled forward-backward stochastic differential equations. Unlike most classical references, the forward component is not only discretized by an Euler-Maruyama approximation but also by higher-order Taylor schemes. This includes the famous Milstein scheme, providing an improved strong convergence rate of order 1; and the simplified order 2.0 weak Taylor scheme exhibiting weak convergence rate of order 2. In order to have a fully-implementable scheme in case of these higher-order Taylor approximations, which involve the derivatives of the decoupling fields, we use the COS method built on Fourier cosine expansions to approximate the conditional expectations arising from the numerical approximation of the backward component. Even though higher-order numerical approximations for the backward equation are deeply studied in the…
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Taxonomy
TopicsNumerical methods for differential equations
