Research

Advisor: John M. Chadam

My research focuses on Principal - Agent Problems with Hidden Actions, particularly in settings where volatility control plays a crucial role. I study these problems through the lens of stochastic control theory, using standard tools such as the dynamic programming principle and Hamilton-Jacobi-Bellman equations to analyze the models. Since analytic solutions are often not available, I turn to numerical methods for solving the associated PDEs. This work deepends our understanding of the interplay between the principal and the agent, in the presence of incentives and penalties.