An Asymptotic Expansion of Forward-Backward SDEs with a Perturbed Driver
Akihiko Takahashi and
Toshihiro Yamada
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Akihiko Takahashi: The University of Tokyo
Toshihiro Yamada: Hitotsubashi University
No CARF-F-363, CARF F-Series from Center for Advanced Research in Finance, Faculty of Economics, The University of Tokyo
Abstract:
Inspired by non-linear pricing in finance, this paper presents a mathematical validity of an asymptotic expansion scheme for a system of forward-backward stochastic differential equations (FBSDEs) in terms of a perturbed driver in the BSDE and a small diffusion in the FSDE. In particular, we represent the coefficients of the expansion of the FBSDE up to an arbitrary order, and obtain the error estimate of the expansion with respect to the driver and the small noise perturbation.
Pages: 24 pages
Date: 2015-05
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Citations: View citations in EconPapers (23)
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Persistent link: https://EconPapers.repec.org/RePEc:cfi:fseres:cf363
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