4.4 Article

NUMERICAL ALGORITHMS FOR BACKWARD STOCHASTIC DIFFERENTIAL EQUATIONS WITH 1-D BROWNIAN MOTION: CONVERGENCE AND SIMULATIONS

Publisher

EDP SCIENCES S A
DOI: 10.1051/m2an/2010059

Keywords

Backward stochastic differential equations; reflected stochastic differential equations with one barrier; numerical algorithm; numerical simulation

Funding

  1. National Basic Research Program of China (973 Program) [2007CB814902, 2007CB814906]
  2. National Science Foundation [10901154/A0110]
  3. AMSS, CAS

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In this paper we study different algorithms for backward stochastic differential equations (BSDE in short) basing on random walk framework for 1-dimensional Brownian motion. Implicit and explicit schemes for both BSDE and reflected BSDE are introduced. Then we prove the convergence of different algorithms and present simulation results for different types of BSDEs.

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