FIN-480 Advanced Quantitative Methods and Machine Learning in Finance (3)

This course introduces prominent quantitative methods of financial data analysis, with an emphasis on practical implementation. The course covers topics in four main areas including investments and asset allocation, time series analysis and forecasting, machine learning applications in finance, and event studies and causal inference methods. Students gain a theoretical understanding of the methods and hands-on experience by implementing these methods in Python. Crosslist: FIN-680. Prerequisite: KSB-221 or FIN-365; and FIN-369.