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Computational and Mathematical Finance

Sponsored by: The Finance and Math and Science Divisions

Faculty Contact: Craig Stephenson Dessislava Pachamanova
*Faculty contacts serve as "advisors" to those students who have an interest in the given concentration.  You should feel free to contact these faculty with questions.

The goal of this concentration is to combine financial theory with solid understanding of quantitative tools that allow students to model and analyze the complexity of financial decisions under uncertainty. The advanced courses in the Finance Division are designed to provide students with an in-depth knowledge of financial markets and instruments, while the advanced courses in the Mathematics and Sciences Division emphasize mathematical derivations, rigorous analytical thinking, and the use of statistical, simulation, and optimization software tools.


Required Course: 
QTM 3625– Financial Modeling with Simulation

Courses from which Students Must Choose a Minimum Distribution:

Choose 2: 
FIN 3520 – Security Valuation
FIN 4510 – Corporate Financial Modeling
FIN 4530 – Investments
FIN 4560 – Options and Futures  

Choose 1:
QTM 3610 – Applied Multivariate Statistics
QTM 3615 - Time Series Analysis and Forecasting
QTM 3675 – Probability for Risk Management
QTM 3676 – Financial Mathmatics

If approved by the division chairperson, one of these courses would be replaced by a QTM selected topics or independent research project. 


Additional courses suggested but not required:
QTM 3612 – Data Mining and Business Analysis
ECN3620 – Econometrics
ENGR 1510 - Introductory Programming (Olin College of Engineering)

 

 

 

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