Optimal control of stochastic delayed systems with jumps
Résumé
We consider the optimal control of stochastic delayed systems with jumps, in which both the state and controls can depend on the past history of the system, for a value function which depends on the initial path of the process. We derive the Hamilton-Jacobi-Bellman equation and the associated verification theorem and prove a necessary and a sufficient maximum principles for such problems. Explicit solutions are obtained for a mean-variance portfolio problem and for the optimal consumption and portfolio case in presence of a financial market with delay and jumps.
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