Weak approximation of second-order BSDEs
arXiv:1310.1173 · doi:10.1214/14-AAP1055
Abstract
We study the weak approximation of the second-order backward SDEs (2BSDEs), when the continuous driving martingales are approximated by discrete time martingales. We establish a convergence result for a class of 2BSDEs, using both robustness properties of BSDEs, as proved in Briand, Delyon and Mémin [Stochastic Process. Appl. 97 (2002) 229-253], and tightness of solutions to discrete time BSDEs. In particular, when the approximating martingales are given by some particular controlled Markov chains, we obtain several concrete numerical schemes for 2BSDEs, which we illustrate on specific examples.
Published at http://dx.doi.org/10.1214/14-AAP1055 in the Annals of Applied Probability (http://www.imstat.org/aap/) by the Institute of Mathematical Statistics (http://www.imstat.org)
References in corpus (4)
- A regression-based Monte Carlo method to solve backward stochastic differential equations
- Capacities, Measurable Selection and Dynamic Programming Part II: Application in Stochastic Control Problems
- Capacities, Measurable Selection and Dynamic Programming Part I: Abstract Framework
- Discrete-time probabilistic approximation of path-dependent stochastic control problems