Statistics · Columbia University
I would not recommend because I think the methods are not very practical (although more practically than first semester stochastic required for MAFN). 1 Columbia University: Arts & Sciences Spring 2025 Course: STATGR5265_001_2025_1-STOCHASTICMETHODSINFINANCE : STATGR5265_001_2025_1 - STOCHASTIC METHODS IN FINANCE Instructor: Graeme Baker
I learned a lot about stochastic process, especially how to derive the BS model.
A comprehensive idea of what stochastic processes are and why measure theory is important.
I was able to see and learn about the many different ways probability is being applied in the research sphere. I think it is helpful in shaping my idea of what research can look like.
Absolutely a great course to take. Well-structured contents and reasonable workload. Exams are well designed to reflect lecture contents and homework. You will be fine if you put some effort. Professor Baker is caring about students. He responses to every question patiently, tries to put everything into easy-to-understand term, and uploads notes for reference. 1 Columbia University: Arts & Sciences Spring 2024 Course: STATGR5265_001_2024_1-STOCHASTICMETHODSINFINANCE : STATGR5265_001_2024_1 - STOCHASTIC METHODS IN FINANCE Instructor: Graeme Baker
Stochastic calculus and basic measure theory.
option pricing, Brownian motion, stochastic differential equation and a bunch of lemmas and theorems
Brownian motion, Ito formula, financial derivaives, etc...
Basics of stochastic calculus, brownian motion
Best class ever! Amazing teaching methods, wonderful grading, outstanding academic atmosphere. Professor Baker's methods and teaching skills are great, and he is the greatest in explaining the stochastic processes.