040514 KU Python for Finance II (MA) (2020S)

The course enables participants to gain further experience in Python and its applications in Finance. It is expected that students have prior knowledge of Python equivalent to the contents of Python for Finance I. Participants get to know and apply methods from machine learning and natural language processing, with a focus on practical applications of these methods. Students learn to gather textual data from different internet sources, clean the data, and process the data to produce quantitative measures that might be relevant for an investment strategy. Subsequently, this data and other standard finance data sources are used to develop an investment or trading strategy based both on standard econometric data analysis and machine learning methods. Besides these specific methods, students will also gain further general knowledge with respect to Python programming and managing a programming project.