Quantitative Methods in Finance II

Catalog description

Investigates financial data by using techniques such autoregressive and vector-autoregressive models, dimension-reduction techniques motivated by latent factor models and machine learning dimension-reducing techniques. Explores these methods using algebraic derivation and implementation in PYTHON. Builds on the statistical and programming skills developed in FIN 509 and emphasizes forecasting for the optimization of portfolios.