Reflected backward stochastic differential equations under stopping with an arbitrary random time
Safa Alsheyab, Tahir Choulli

TL;DR
This paper studies reflected backward stochastic differential equations with arbitrary random times, establishing conditions for solutions under an enlarged filtration and relating solutions under different filtrations.
Contribution
It introduces minimal conditions for the existence of solutions to RBSDEs with arbitrary random times under enlarged filtrations and relates solutions across filtrations.
Findings
Existence of solutions under minimal conditions for arbitrary random times.
Construction of a positive discount factor for solution estimates.
Relationship between solutions under original and enlarged filtrations.
Abstract
This paper addresses reflected backward stochastic differential equations (RBSDE hereafter) that take the form of \begin{eqnarray*} \begin{cases} dY_t=f(t,Y_t, Z_t)d(t\wedge\tau)+Z_tdW_t^{\tau}+dM_t-dK_t,\quad Y_{\tau}=\xi, Y\geq S\quad\mbox{on}\quad \Lbrack0,\tau\Lbrack,\quad \displaystyle\int_0^{\tau}(Y_{s-}-S_{s-})dK_s=0\quad P\mbox{-a.s..}\end{cases} \end{eqnarray*} Here is an arbitrary random time that might not be a stopping time for the filtration generated by the Brownian motion . We consider the filtration resulting from the progressive enlargement of with where this becomes a stopping time, and study the RBSDE under . Precisely, we focus on answering the following problems: a) What are the sufficient minimal conditions on the data that guarantee the existence of the solution of the $\mathbb…
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Taxonomy
TopicsStochastic processes and financial applications
