Bernoulli

Strong approximations of BSDEs in a domain

Bruno Bouchard and Stéphane Menozzi
Source: Bernoulli Volume 15, Number 4 (2009), 1117-1147.

Abstract

We study the strong approximation of a backward SDE with finite stopping time horizon, namely the first exit time of a forward SDE from a cylindrical domain. We use the Euler scheme approach of (Stochastic Process. Appl. 111 (2004) 175–206 and Ann. Appl. Probab. 14 (2004) 459–488). When the domain is piecewise smooth and under a non-characteristic boundary condition, we show that the associated strong error is at most of order h1/4−ɛ, where h denotes the time step and ɛ is any positive parameter. This rate corresponds to the strong exit time approximation. It is improved to h1/2−ɛ when the exit time can be exactly simulated or for a weaker form of the approximation error. Importantly, these results are obtained without uniform ellipticity condition.

First Page: Show Hide
Full-text: Access denied (no subscription detected)
We're sorry, but we are unable to provide you with the full text of this article because we are not able to identify you as a subscriber.
If you have a personal subscription to this journal, then please login. If you are already logged in, then you may need to update your profile to register your subscription. Read more about accessing full-text
Links and Identifiers

Permanent link to this document: http://projecteuclid.org/euclid.bj/1262962228
Digital Object Identifier: doi:10.3150/08-BEJ181
Zentralblatt MATH identifier: 05816134
Mathematical Reviews number (MathSciNet): MR2597585

References

[1] Bally, V. and Pages, G. (2002). A quantization algorithm for solving discrete time multidimensional optimal stopping problems. Bernoulli 9 1003–1049.
Mathematical Reviews (MathSciNet): MR2046816
Digital Object Identifier: doi:10.3150/bj/1072215199
Project Euclid: euclid.bj/1072215199
[2] Bouchard, B. and Chassagneux, J.-F. (2008). Discrete-time approximation for continuously and discretely reflected BSDE’s. Stochastic Process. Appl. 118 2269–2293.
Mathematical Reviews (MathSciNet): MR2474351
Zentralblatt MATH: 1158.60030
Digital Object Identifier: doi:10.1016/j.spa.2007.12.007
[3] Bouchard, B. and Elie, R. (2005). Discrete time approximation of decoupled forward–backward SDE with jumps. Stochastic Process. Appl. 118 53–75.
Mathematical Reviews (MathSciNet): MR2376252
Zentralblatt MATH: 1136.60048
Digital Object Identifier: doi:10.1016/j.spa.2007.03.010
[4] Bouchard, B. and Menozzi, S. (2008). Strong approximation of BSDEs in a domain. Available at http://hal.archives-ouvertes.fr/hal-00177481/fr/.
Mathematical Reviews (MathSciNet): MR2597585
Digital Object Identifier: doi:10.3150/08-BEJ181
Project Euclid: euclid.bj/1262962228
[5] Bouchard, B. and Touzi, N. (2004). Discrete-time approximation and Monte-Carlo simulation of backward stochastic differential equations. Stochastic Process. Appl. 111 175–206.
Mathematical Reviews (MathSciNet): MR2056536
Zentralblatt MATH: 1071.62026
Digital Object Identifier: doi:10.1016/j.spa.2004.01.001
[6] Crandall, M.G., Ishii, H. and Lions, P.-L. (1992). User’s guide to viscosity solutions of second order partial differential equations. Amer. Math. Soc. 27 1–67.
Mathematical Reviews (MathSciNet): MR1118699
Digital Object Identifier: doi:10.1090/S0273-0979-1992-00266-5
[7] Darling, R.W.R. and Pardoux, E. (1997). BSDE with random terminal time. Ann. Probab. 25 1135–1159.
Mathematical Reviews (MathSciNet): MR1457614
Zentralblatt MATH: 0895.60067
Digital Object Identifier: doi:10.1214/aop/1024404508
Project Euclid: euclid.aop/1024404508
[8] Delarue, F. and Menozzi, S. (2006). A forward–backward algorithm for quasi-linear PDEs. Ann. Appl. Probab. 16 140–184.
Mathematical Reviews (MathSciNet): MR2209339
Zentralblatt MATH: 1097.65011
Digital Object Identifier: doi:10.1214/105051605000000674
Project Euclid: euclid.aoap/1141654284
[9] Delarue, F. and Menozzi, S. (2008). An interpolated stochastic algorithm for quasi-linear PDEs. Math. Comp. 77 125–158.
Mathematical Reviews (MathSciNet): MR2353946
Zentralblatt MATH: 1131.65002
Digital Object Identifier: doi:10.1090/S0025-5718-07-02008-X
[10] Freidlin, M. (1985). Functional Integration and Partial Differential Equations. Annals of Mathematics Studies 109. Princeton, NJ: Princeton Univ. Press.
Mathematical Reviews (MathSciNet): MR833742
Zentralblatt MATH: 1071.60059
[11] Friedman, A. (1964). Partial Differential Equations of Parabolic Type. Englewood Cliffs, NJ: Prentice Hall.
Mathematical Reviews (MathSciNet): MR181836
[12] Gilbarg, D. and Trudinger, N.S. (1998). Elliptic Partial Differential Equations of Second Order. Reprint of 1998 edition. Classics in Mathematics. Berlin: Springer, 2001. xiv+517.
Mathematical Reviews (MathSciNet): MR1814364
[13] Gobet, E. (1998). Schéma d’Euler pour diffusions tuées. Application aux options barriére. Ph.D. thesis, Univ. Paris VII.
[14] Gobet, E. (2000). Weak approximation of killed diffusion using Euler schemes. Stochastic Process. Appl. 87 167–197.
Mathematical Reviews (MathSciNet): MR1757112
Zentralblatt MATH: 1045.60082
Digital Object Identifier: doi:10.1016/S0304-4149(99)00109-X
[15] Gobet, E. and Labart, C. (2007). Error expansion for the discretization of backward stochastic differential equations. Stochastic Process. Appl. 117 803–829.
Mathematical Reviews (MathSciNet): MR2330720
Zentralblatt MATH: 1117.60058
Digital Object Identifier: doi:10.1016/j.spa.2006.10.007
[16] Gobet, E., Lemor, J.P. and Warin, X. (2006). Rate of convergence of empirical regression method for solving generalized BSDE. Bernoulli 12 889–916.
Mathematical Reviews (MathSciNet): MR2265667
Digital Object Identifier: doi:10.3150/bj/1161614951
Project Euclid: euclid.bj/1161614951
[17] Gobet, E. and Menozzi, S. (2007). Stopped diffusion processes: Overshoots and boundary correction. Preprint PMA, Univ. Paris 7.
Mathematical Reviews (MathSciNet): MR2409016
[18] Gobet, E. and Menozzi, S. (2004). Exact approximation rate of killed hypoelliptic diffusions using the discrete Euler scheme. Stochastic Process. Appl. 114 201–223.
Mathematical Reviews (MathSciNet): MR2073411
Zentralblatt MATH: 1070.60071
Digital Object Identifier: doi:10.1016/j.spa.2004.03.002
[19] Karatzas, I. and Shreve, S.E. (1990). Brownian Motion and Stochastic Calculus. New York: Springer.
Mathematical Reviews (MathSciNet): MR917065
[20] Kobylanski, M. (2000). Backward stochastic differential equations and partial differential equations with quadratic growth. Ann. Probab. 28 558–602.
Mathematical Reviews (MathSciNet): MR1782267
Zentralblatt MATH: 1044.60045
Digital Object Identifier: doi:10.1214/aop/1019160253
Project Euclid: euclid.aop/1019160253
[21] Lieberman, G.M. (2005). Second Order Parabolic Differential Equations. River Edge, NJ: World Scientific.
[22] Longstaff, F.A. and Schwartz, R.S. (2001). Valuing American options by simulation: A simple least-square approach. Rev. Financial Stud. 14 113–147.
[23] Ma, J. and Zhang, J. (2002). Path regularity of solutions to backward stochastic differential equations. Probab. Theory Related Fields 122 163–190.
Mathematical Reviews (MathSciNet): MR1894066
Zentralblatt MATH: 1014.60060
Digital Object Identifier: doi:10.1007/s004400100144
[24] Ma, J. and Zhang, J. (2005). Representations and regularities for solutions to BSDEs with reflections. Stochastic Process. Appl. 115 539–569.
Mathematical Reviews (MathSciNet): MR2128629
Zentralblatt MATH: 1076.60049
Digital Object Identifier: doi:10.1016/j.spa.2004.05.010
[25] Milstein, G.N. and Tretyakov, M.V. (2001). Numerical solution of Dirichlet problems for nonlinear parabolic equations by a probabilistic approach. IMA J. Num. Anal. 21 887–917.
Mathematical Reviews (MathSciNet): MR1867423
Zentralblatt MATH: 0993.65014
Digital Object Identifier: doi:10.1093/imanum/21.4.887
[26] Pardoux, E. (1998). Backward stochastic differential equations and viscosity solutions of semilinear parabolic and elliptic PDE’s of second order. In Stochastic Analysis and Related Topics: The Geilo Workshop 1996 (L. Decreusefond, J. Gjerd, B. Oksendal and A.S. Ustünel, eds.) 79–127. Boston: Birkhäuser.
[27] Pardoux, E. and Peng, S. (1992). Backward stochastic differential equations and quasilinear parabolic partial differential equations. Lecture Notes in Control and Inform. Sci. 176 200–217.
Mathematical Reviews (MathSciNet): MR1176785
Zentralblatt MATH: 0766.60079
Digital Object Identifier: doi:10.1007/BFb0007334
[28] Peng, S. (1991). Probabilistic interpretation for systems of quasilinear parabolic partial differential equations. Stochastics Stochastics Rep. 37 61–74.
Mathematical Reviews (MathSciNet): MR1149116
Zentralblatt MATH: 0739.60060
[29] Zhang, J. (2004). A numerical scheme for BSDEs. Ann. Appl. Probab. 14 459–488.
Mathematical Reviews (MathSciNet): MR2023027
Zentralblatt MATH: 1056.60067
Digital Object Identifier: doi:10.1214/aoap/1075828058
Project Euclid: euclid.aoap/1075828058

2012 © Bernoulli Society for Mathematical Statistics and Probability

Bernoulli

Bernoulli

Turn MathJax Off
What is MathJax?