Empirical Methods In Finance

Description

This course introduces data analysis in finance, beginning with descriptive statistics used for performance and risk reporting and progressing to statistical tools for modelling time series, with emphasis on Python applications supported by detailed theoretical foundations. Integrating the course objectives and learning outcomes, participants understand the principles of parameter estimation and statistical testing, as well as the properties of common time series models, and develop the ability to estimate the parameters of linear and time-varying volatility models and to run Monte Carlo simulations of stochastic processes, thereby linking statistical theory to practical financial applications.