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Title: On near-optimal necessary and sufficient conditions for forward-backward stochastic systems with jumps, with applications to finance (English)
Author: Hafayed, Mokhtar
Author: Veverka, Petr
Author: Abbas, Syed
Language: English
Journal: Applications of Mathematics
ISSN: 0862-7940 (print)
ISSN: 1572-9109 (online)
Volume: 59
Issue: 4
Year: 2014
Pages: 407-440
Summary lang: English
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Category: math
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Summary: We establish necessary and sufficient conditions of near-optimality for nonlinear systems governed by forward-backward stochastic differential equations with controlled jump processes (FBSDEJs in short). The set of controls under consideration is necessarily convex. The proof of our result is based on Ekeland's variational principle and continuity in some sense of the state and adjoint processes with respect to the control variable. We prove that under an additional hypothesis, the near-maximum condition on the Hamiltonian function is a sufficient condition for near-optimality. At the end, as an application to finance, mean-variance portfolio selection mixed with a recursive utility optimization problem is given. (English)
Keyword: stochastic near-optimal controls
Keyword: jump processes
Keyword: forward-backward stochastic systems with jumps
Keyword: necessary and sufficient conditions for near-optimality
Keyword: Ekeland's variational principle
MSC: 49K45
MSC: 60H10
MSC: 60J75
MSC: 91G10
MSC: 93E20
idZBL: Zbl 06362236
idMR: MR3233552
DOI: 10.1007/s10492-014-0064-4
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Date available: 2014-07-14T09:05:22Z
Last updated: 2020-07-02
Stable URL: http://hdl.handle.net/10338.dmlcz/143872
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