Verification Theorem Of Stochastic Optimal Control With Mixed Delay And Applications To Finance

2014 ◽  
Vol 17 (4) ◽  
pp. 1285-1295 ◽  
Author(s):  
Wenli Zhu ◽  
Zisha Zhang
Author(s):  
Tomas Björk

We study a general stochastic optimal control problem within the framework of a controlled SDE. This problem is studied using dynamic programming and we derive the Hamilton–Jacobi–Bellman PDE. By stating and proving a verification theorem we show that solving this PDE is equivalent to solving the control problem. As an example the theory is then applied to the linear quadratic regulator.


2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Khalid Oufdil

Abstract In this paper, we study one-dimensional backward stochastic differential equations under logarithmic growth in the 𝑧-variable ( | z | ⁢ | ln ⁡ | z | | ) (\lvert z\rvert\sqrt{\lvert\ln\lvert z\rvert\rvert}) . We show the existence and the uniqueness of the solution when the noise is driven by a Brownian motion and an independent Poisson random measure. In addition, we highlight the connection of such BSDEs with stochastic optimal control problem, where we show the existence of an optimal strategy for the control problem.


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