2018
DOI: 10.1515/rose-2018-0002
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Reflected backward stochastic differential equations with time-delayed generators

Abstract: This paper is devoted to establish an existence and uniqueness result of one-dimensional reflected backward stochastic differential equations with time-delayed generators (RBSDEs with time-delayed generators, in short). Our proof is based on approximation via a penalization method.

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Cited by 5 publications
(4 citation statements)
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“…Since then, the study of BSDEs with delayed generators has been intensified. The work of Dos Reis et al (Dos Reis & al., 2012), Zhou and Ren (Zhou & Ren, 2012), Tuo et al (Tuo & al., 2018) and references therein attest this statement. More recently, Coulibaly and Aman (Coulibaly & Aman, 2019) have studied new class of BSDEs having the form…”
Section: Introductionmentioning
confidence: 98%
See 1 more Smart Citation
“…Since then, the study of BSDEs with delayed generators has been intensified. The work of Dos Reis et al (Dos Reis & al., 2012), Zhou and Ren (Zhou & Ren, 2012), Tuo et al (Tuo & al., 2018) and references therein attest this statement. More recently, Coulibaly and Aman (Coulibaly & Aman, 2019) have studied new class of BSDEs having the form…”
Section: Introductionmentioning
confidence: 98%
“…Concerning delayed BSDE, see [4] for non-Lipschitz condition and [8,9] in the context of finance and assurance. For reflected delayed BSDE see [34] and [26].…”
Section: Introductionmentioning
confidence: 99%
“…Coulibaly and Aman, [2], Tuo et al, [9] and Dos Reis et al, [6]. All this works have been done under p-integrability condition ( p ≥ 2) on the data { f (t, 0, 0)} t∈[0,T] and ξ.…”
Section: Introductionmentioning
confidence: 99%
“…Since this three results, a lot of works concerned the delayed BSDEs have been done in literature. Among others one can cite these works of Ren et al, [13], Coulibaly and Aman, [2], Tuo et al, [12], Dos Reis et al, [6] and Ren et al [11]. In all this works, existence and uniqueness result are provided under delayed Lipschitz or non-Lipschitz condition with p-integrable data, for p > 1.…”
Section: Introductionmentioning
confidence: 99%