FIN 403 - Financial Analytics

3 Credit(s)

This course provides a rigorous foundation on the different types of analytical techniques and quantitative tools used in the financial services industry. Topics include visualization, simulation, predictive analytics, and financial optimization. Examples of applications include portfolio management, risk management, derivative pricing, and algorithmic trading. The class will employ an experiential learning approach that involves using real-life data obtained from multiple sources. Although, all of the techniques are based on the theory of statistics, the approach is logic based, rather than formula or theory based. The bulk of the exercises performed in this course will use SAS. The students will also experiment with Bloomberg Professional Services, Excel, Tableau, R, and SAP Predictive Analysis software. This class requires a strong foundation in finance, statistics, and computer information systems, and should only be taken by those interested in gaining advanced knowledge into how these fields are interrelated in the financial services industry.
Prerequisite(s): FIN 303, QA 252, MIS 290