Robust Utility Maximisation with Varying Reference Controls

This thesis develops a robust utility maximisation framework for continuous-time markets with varying reference controls. We formulate the problem as a two-player zero-sum stochastic differential game, incorporating a penalty function to penalise unrealistic parameter choices. By including a stochastic reference process, the enhanced optimal strategy becomes more flexible while remaining manageable.