Graduate Course Descriptions

The following directory lists the graduate courses which the University expects to offer, although the University in no way guarantees that all such courses will be offered in any given academic year, and reserves the right to alter the list if conditions warrant. Click on the links below for a list of courses in that subject area. You may then click “View Classes” to see scheduled classes for individual courses.

5710. Introductions to Financial Models

3.00 credits

Prerequisites: Open to MS in FinTech students, others with consent. Rec prep: Students new to Finance are encouraged to complete the online Bloomberg’s BML early, preferably, before taking the course, for an intro and overview of financial markets and institutions.

Grading Basis: Graded

Quantitative introduction to time, risk, and arbitrage valuation models used in equity, credit, and derivatives markets. Covered models include discounted cash flow models, equity valuation models, asset pricing models, term structure models, binomial trees and other derivatives models. Students will be introduced to portfolio construction, technical analysis, and to programming using Python. Students new to Finance are encouraged to complete the online Bloomberg’s BML very early in the course or, preferably, before taking the course, for an introduction and overview of financial markets and institutions.


Last Refreshed: 23-APR-24 05.21.45.647850 AM
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Term Class Number Campus Instruction Mode Instructor Section Session Schedule Enrollment Location Credits Grading Basis Notes
Spring 2024 12710 Hartford Online Asynchronous Zheng, Xiang 723 Reg 18/46 No Room Required - Online 3.00 Graded
Fall 2024 1109 Hartford In Person Zheng, Xiang 722 Reg We 6:00pm‑9:00pm
0/46 3.00 Graded
Fall 2024 1110 Hartford Online Asynchronous Zheng, Xiang 723 Reg 3/46 No Room Required - Online 3.00 Graded
Fall 2024 1111 Stamford In Person Zheng, Xiang 850 Reg Tu 6:15pm‑9:15pm
1/40 DWTN 135 3.00 Graded