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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: 28-NOV-23 05.20.10.452462 AM
|Section||Class Number||Notes||Instructor||Enrollment||Term||Session||Instruction Mode|
|1233 16036 1 FT40||FT40||16036||To view the syllabus visit this url;
|Zheng, Xiang||6/46||Spring 2023||Reg||Online|