2020
DOI: 10.1016/j.bulsci.2019.102820
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Reflected backward stochastic differential equations with two optional barriers

Abstract: We consider reflected backward stochastic differential equations with two general optional barriers. The solutions to these equations have the so-called regulated trajectories, i.e trajectories with left and right finite limits. We prove the existence and uniqueness of L p solutions, p ≥ 1, and show that the solutions may be approximated by a modified penalization method.MSC 2000 subject classifications: Primary 60H10; secondary 60G40.

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Cited by 10 publications
(5 citation statements)
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References 23 publications
(80 reference statements)
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“…(H6*) there exists a process X ∈ M loc (0, T )+V 1 F (0, T ) such that X is of class (D), L ≤ X ≤ U and f (⋅, X, 0) ∈ L 1 F (0, T ). The following result has been proven in [27].…”
mentioning
confidence: 80%
See 1 more Smart Citation
“…(H6*) there exists a process X ∈ M loc (0, T )+V 1 F (0, T ) such that X is of class (D), L ≤ X ≤ U and f (⋅, X, 0) ∈ L 1 F (0, T ). The following result has been proven in [27].…”
mentioning
confidence: 80%
“…Equations of that type with L 2 -data and Lipschitz generator were studied in [30] (Brownian filtration), in [13,14] (Brownian-Poisson filtration) and [1,2,15,25] (general filtration). RBSDEs with optional barriers and L 1 -data were considered only in [26,27], in the case of Brownian filtration. Results on optional barriers, L 1 -data and possibly infinite horizon time were presented in [25].…”
Section: Introductionmentioning
confidence: 99%
“…In our framework part a) presents no difficulties and its proof proceeds analogously to the case of more regular data (see e.g. [14,26]). The problems begin when we proceed to the nonlinear case since we can not apply fixed point argumentthe reason is twofold: T may be infinite and f is assumed to be merely non-decreasing with respect to y.…”
Section: Introductionmentioning
confidence: 88%
“…Such equations with L 2 -data and Lipschitz continuous generator were studied in [30] (Brownian filtration), in [13,14,31] (Brownian-Poisson filtration) and [3,4,15] (general filtration). RBSDEs with L 1 -data and optional barriers were considered only in [25,26] in case of Brownian filtration and bounded terminal time.…”
Section: Introductionmentioning
confidence: 99%
“…1). This follows at once from[3, Remark 2.1] and[1, Lemma 3.1]. Let a ∈ R. Observe that if (Y, Z) is a solution to BSDE T (ξ, f ), then ( Ȳ , Z) is a solution to BSDE T ( ξ, f ),where ( Ȳt , Zt ) ∶= (e at Y t , e at Z t ), ξ ∶= e aT ξ, f (t, y, z) ∶= e at f (t, e −at y, e −at z) − ay Clearly, if (ξ, f ) satisfies any of conditions (H1), (H3)-(H5), then ( ξ, f ) satisfies it too.…”
mentioning
confidence: 87%