Building Up an Illiquid Stock Position Subject to Expected Fund Availability: Optimal Controls and Numerical Methods

Abstract

We consider a class of constrained stochastic optimal control problems with applications to an illiquid stock position build-up. Using a geometric Brownian motion model, we allow the drift to be purchase-rate dependent to characterize "price impact" of heavy share accumulation over time. The constraint is the fund availability. That is, the expected fund availability has an upper bound. We use a Lagrange multiplier method to treat the constrained control problem. Because a closed-form solution is virtually impossible to obtained, we develop approximation schemes, which consist of inner and outer approximations. The inner approximation is a numerical procedure for obtaining optimal strategies based on a fixed parameter of the Lagrange multiplier. The outer approximation is a stochastic approximation algorithm for obtaining the optimal La-grange multiplier. Convergence analysis together with numerical examples are provided.

Pollution control for switching diffusion models: Approximation methods and numerical results

“…It can be proved that the operator T is a contraction mapping. We refer the reader to Barles and Jakobsen [1] and Lu et al [12] for details. Then by the Banach fixed-point theorem, we conclude that there exists a unique…”

A Constrained Stochastic Control Problem with Application to an Illiquid Stock Position Build-Up

“…Finally, Section 6 issues some further remarks. The proofs of our results are omitted and the reader is refereed to [8] for details.…”