CIRJE-F-1086 "Solving Backward Stochastic Differential Equations with quadratic-growth drivers by Connecting the Short-term Expansions"
Author Name Fujii, Masaaki and Akihiko Takahashi
Date May 2018
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Forthcoming in Stochastic Processes and their Applications; revised version of CIRJE-F-1016


This article proposes a new approximation scheme for quadratic-growth BSDEs in a Markovian setting by connecting a series of semi-analytic asymptotic expansions applied to short-time intervals. Although there remains a condition which needs to be checked a posteriori, one can avoid altogether time-consuming Monte Carlo simulation and other numerical integrations for estimating conditional expectations at each space-time node. Numerical examples of quadratic-growth as well as Lipschitz BSDEs suggest that the scheme works well even for large quadratic coefficients, and a fortiori for large Lipschitz constants.