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Numerical Algorithms for 1-d Backward Stochastic Differential Equations: Convergence and Simulations

Probability 2009-09-23 v5

Abstract

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.

Keywords

Cite

@article{arxiv.math/0611864,
  title  = {Numerical Algorithms for 1-d Backward Stochastic Differential Equations: Convergence and Simulations},
  author = {Shige Peng and Mingyu Xu},
  journal= {arXiv preprint arXiv:math/0611864},
  year   = {2009}
}

Comments

29 pages, 8 figures