Data-Driven Financial Modeling. 3 credits, 3 contact hours

Catalog description

Prerequisites: MGMT 216 and FIN 218 or FIN 315 . This course introduces basic and innovative financial modeling techniques, and equips students with new analytic and modeling tools to tackle rapidly changing and dynamic financial markets. In particular, this course delivers modeling frameworks such as regression analysis, forecasting, Monte-Carlo simulation, optimization, and binomial trees; it illustrates how to apply these frameworks in financial contexts such as portfolio management, term-structure estimation, capital budgeting, risk measurement, and risk analysis in discounted cash flow models. The modeling tools will be illustrated by applying them to a variety of real-world financial data that can be obtained directly from Bloomberg Terminals and other sources.