FINC 472 - Financial Data Analytics

Credit(s): 3

FINANCIAL DATA ANALYTICS
Component: Lecture
This course provides an overview of empirical research in finance. In the first part of the course, students develop fundamental programming knowledge and data science skills in the Julia programming language. This part of the course is an intensive introduction to procedures for collecting, processing and analyzing financial datasets, The second part of the course covers widely used state-of-the-art statistical methodologies in empirical asset pricing. Students will learn to apply programming techniques to real-world empirical research questions in equity and fixed-income markets.
Repeatable for Credit: N Allowed Units: 3 Multiple Term Enrollment: N Grading Basis: Student Option

PREREQ: A grade of C- or better in FINC 311 and FINC 314.

Course Typically Offered: Fall

General Education Objectives:
GE1A: Read Critically GE1B: Analyze Arguments and Information GE1C: Engage in Constructive Ideation GE2B: Communicate Orally GE5A: Reason Quantitatively GE5B: Reason Computationally GE5C: Reason Scientifically