Mathematical Finance & Financial Data Science Seminar
The mathematical finance & financial data science seminar covers a broad range of topics in mathematical and quantitative finance, including:
- Data science and machine learning in finance
- Big data and econometric techniques
- Quantitative finance
- Portfolio and risk management
- Pricing and risk models
- Regulation and regulatory models
- Trading strategies and back testing
This seminar series is part of the Quantitative Finance & Financial Data Science Working Group's activities at NYU Courant, organized by Petter Kolm (email: petter DOT kolm AT nyu DOT edu).
Presenters include invited visitors and NYU Courant faculty. Seminar presentations often cover original research. The seminar meets monthly on Tuesdays at 5:30 pm to 7 pm in room 1302 of Warren Weaver Hall at 251 Mercer Street, unless specified otherwise. Please make sure to check the exact schedule and room assignment.
Seminar Organizer(s): Petter Kolm
There are no events for this seminar for Fall 2020.