25871 Computational Methods and Model Implementation8cp
There are course requisites for this subject. See access conditions.
This is a hands-on subject that develops practical skills for solving computational problems in quantitative finance. The topics covered include risk management, derivatives pricing and yield curve analysis. The focus is on writing software for model implementation, statistical estimation and model calibration. Working solutions are developed using Excel and Python.
Detailed subject description.