This course will expose students to tools such as Alteryx, Tableau, SAS JMP Pro, RapidMiner, and Python, so they may exploit these in conducting financial analytics. The course emphasizes salient features of these tools and provides students with opportunities to apply them to self- selected financial data to generate analytics of interest to the individual students and student teams.
The study of selected topics in finance for graduate students. Special title required. May be repeated for a maximum of nine credits under different subtitles.
The study of selected topics in finance for graduate students. Special title required. May be repeated for a maximum of nine credits under different subtitles.
The study of selected topics in finance for graduate students. Special title required. May be repeated for a maximum of nine credits under different subtitles.
Students confer individually with the instructor. May be repeated to a maximum of six credits.
Students confer individually with the instructor. May be repeated to a maximum of six credits.
Students confer individually with the instructor. May be repeated to a maximum of six credits.
Students confer individually with the instructor. May be repeated to a maximum of six credits.
Primary emphasis on the implementation of financial theory for the evaluation and management of financial assets in an efficient capital market. Topics include mean-variance efficiency, development and testing of the capital asset pricing model, stochastic dominance, and option pricing theory as well as other topics in modern capital market theory.
Designed for advanced students who undertake research problems to be conducted in regular consultation with the instructor. May be repeated to a total of 12 credit hours.
