Portfolio optimization using factor models
In this thesis model predictive control (MPC) is used to dynamically optimize a portfolio where data is sampled at the closing price. Previous research has shown that MPC optimization applied on financial data can yield a portfolio that exceeds the value of traditional portfolio strategies. MPC has also been observed having computational advantages when return forecasts are updated when a new obs
