Linear quadratic optimal control of conditional McKean-Vlasov equation with random coefficients and applications *
Abstract
We consider the optimal control problem for a linear conditional McKean-Vlasov equation with quadratic cost functional. The coefficients of the system and the weigh-ting matrices in the cost functional are allowed to be adapted processes with respect to the common noise filtration. Semi closed-loop strategies are introduced, and following the dynamic programming approach in [32], we solve the problem and characterize time-consistent optimal control by means of a system of decoupled backward stochastic Riccati differential equations. We present several financial applications with explicit solutions, and revisit in particular optimal tracking problems with price impact, and the conditional mean-variance portfolio selection in incomplete market model.
Keywords
Cite
@article{arxiv.1604.06609,
title = {Linear quadratic optimal control of conditional McKean-Vlasov equation with random coefficients and applications *},
author = {Huyên Pham},
journal= {arXiv preprint arXiv:1604.06609},
year = {2017}
}
Comments
to appear in Probability, Uncertainty and Quantitative Risk