This course introduces students to financial big data analysis using SAS programming. Emphasis is placed on acquiring, managing, and analyzing large-scale financial datasets, as well as interpreting analytical results for financial decision-making. Students will develop practical SAS programming skills while applying statistical and analytical techniques to real-world financial data such as stock returns, financial statements, and market indicators.

SAS Programming 1: Essentials

SAS Programming 2: Data Manipulation Techniques

Instructor’s Lecture Notes

Learning SAS by Example: A Programmer's Guide, 2007, by Ron Cody

The Little SAS Book, 2012, Fifth Edition, by Lora D. Delwiche, Susan J. Slaughter

Cody's Data Cleaning Techniques Using SAS, Second Edition, 2008, 2nd Edition, by Ron Cody

SAS Statistics by Example, 2012, by Ron Cody

Using SAS in Financial Research, 2002, by Ekkehart Boehmer and John Paul Broussard

Business Analytics Using SAS Enterprise Guide and SAS Enterprise Miner: A Beginner's Guide, 2014, by Olivia Parr-Rud