We show that the comparison results for a backward SDE with jumps established in Royer(Stoch.Process.Appl 116:1358–1376,2006)and Yin and Mao(J.Math.Anal.Appl 346:345–358,2008)hold under more simplified conditions.Mo...We show that the comparison results for a backward SDE with jumps established in Royer(Stoch.Process.Appl 116:1358–1376,2006)and Yin and Mao(J.Math.Anal.Appl 346:345–358,2008)hold under more simplified conditions.Moreover,we prove existence and uniqueness allowing the coefficients in the linear growth-and monotonicity-condition for the generator to be random and time-dependent.In the L2-case with linear growth,this also generalizes the results of Kruse and Popier(Stochastics 88:491–539,2016).For the proof of the comparison result,we introduce an approximation technique:Given a BSDE driven by Brownian motion and Poisson random measure,we approximate it by BSDEs where the Poisson random measure admits only jumps of size larger than 1/n.展开更多
The proof of(Geiss and Steinicke(2018),Theorem 3.5)needs an extra step addressing the problem that our conditions on the generator are not sufficient to guarantee the existence of the considered optional projectionmail.
基金Large parts of this article were written when Alexander Steinicke was member of the Institute of Mathematics and Scientific Computing,University of Graz,Austria,and supported by the Austrian Science Fund(FWF):Project F5508-N26,which is part of the Special Research Program"Quasi-Monte Carlo Methods:Theory and Applications."。
文摘We show that the comparison results for a backward SDE with jumps established in Royer(Stoch.Process.Appl 116:1358–1376,2006)and Yin and Mao(J.Math.Anal.Appl 346:345–358,2008)hold under more simplified conditions.Moreover,we prove existence and uniqueness allowing the coefficients in the linear growth-and monotonicity-condition for the generator to be random and time-dependent.In the L2-case with linear growth,this also generalizes the results of Kruse and Popier(Stochastics 88:491–539,2016).For the proof of the comparison result,we introduce an approximation technique:Given a BSDE driven by Brownian motion and Poisson random measure,we approximate it by BSDEs where the Poisson random measure admits only jumps of size larger than 1/n.
文摘The proof of(Geiss and Steinicke(2018),Theorem 3.5)needs an extra step addressing the problem that our conditions on the generator are not sufficient to guarantee the existence of the considered optional projectionmail.
