FINC 651 - Financial Analytics: Applications for Data Analysis and Portfolio Construction

Description
Financial Analytics: Applications for Data Analysis and Portfolio Construction, will apply major financial, statistical, and quantitative techniques to analyze big data and construct optimal financial portfolios. This new course will cover the importance of statistical techniques, advanced econometrics, portfolio theory, and risk/reward interplay to a) understand big data, b) use econometrics to streamline time series, c) develop financial models, and d) analyze and create investment portfolios for individual investors and institutional clients. The course coverage includes use of financial and economic databases, advanced econometrics tools, portfolio theory, SAS and/or Excel and/or SPSS, and research methods in finance.
Credits
3
Attributes
Distance-Electronic; Asynch.
Recent Professors
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Recent Semesters
Spring 2019, Fall 2016
Offered
M
Avg. Class Size
25
Avg. Sections
1