Predictable forward performance processes(PFPPs)are stochastic optimal control frameworks for an agent who controls a randomly evolving system but can only prescribe the system dynamics for a short period ahead.This i...
supported by the National Science Foundation(Grant No.DMS-1929348).
We establish existence of Predictable Forward Performance Processes(PFPPs)in conditionally complete markets,which has been previously shown only in the binomial setting.Our market model can be a discrete-time or a con...
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.
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."。
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...