FIN-480 Applied Quantitative Finance with Python
This course introduces the students to the world of quantitative finance, which simply teaches students how financial data-analytics tools can extract insights from the most commonly used financial data. Using a hands-on approach, you will gain a deep understanding of the nature of financial markets, including stock and bond valuation, and portfolio construction techniques. The course introduces students to the use of Python and shows how it can be used to build optimal portfolios as students learn the basics of risk management. Students will also have full use of an AI model, such as ChatGpt, which will aid students as they learn how to use Python. Topics covered will include calculating portfolio returns, portfolio optimization, risk analysis, testing for market efficiency, and stock screening among other topics. Students are not required to have any prior knowledge of Python, but should gain a solid understanding of this tool during the semester.
Prerequisite
Student has completed all of the following course(s) FIN 200 - Business Finance
Offered
Fall