Time discretization of BSDEs with singular terminal condition using asymptotic expansion
Thomas Kruse, Julia Ackermann, Alexandre Popier (LMM)

TL;DR
This paper develops a numerical approximation method for BSDEs with singular terminal conditions by extending asymptotic expansions, enabling better near-terminal-time solutions and analyzing the error of an implicit scheme.
Contribution
It introduces an extended asymptotic expansion approach for general generators in BSDEs with singular terminal conditions, improving approximation accuracy.
Findings
The asymptotic expansion effectively approximates BSDE solutions near terminal time.
Error analysis of the backward Euler scheme shows dependence on terminal condition.
Method extends power case results to more general generator functions.
Abstract
We consider a class of backward stochastic differential equations (BSDEs) with singular terminal condition and develop a numerical scheme to approximate their solution. To this end, we extend an asymptotic development of the BSDE solution known from the power case, which arises from optimal liquidation problems, to more general generators. This expansion allows to obtain a suitable approximation of the BSDE solution close to the terminal time. Using this as a terminal condition, we analyze the error of a backward Euler implicit scheme and detail its dependence on the terminal condition.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsStochastic processes and financial applications · Probability and Risk Models · Risk and Portfolio Optimization
