Date of Award
Doctor of Philosophy
This dissertation consists of two chapters on finance and experimental economics.
The first chapter studies the dynamic portfolio optimization problem with reinforcement learning. I evaluate several algorithms on simulated data to document their convergence properties and sample efficiencies. I also apply a state-of-the-art algorithm on two empirical problems and show that they outperform other traditional strategies.
The second chapter studies alternating bargaining games, by proposing an ultimatum game with uncertainties. I model the two-stage game as a screening game that incorporates the social factor of fairness, and run experiments to analyze how participants behave in response to bargaining power shift.
Wang, Shirui, "Essays in finance and behavioral economics" (2020). Graduate Theses and Dissertations. 18422.