Physics Courses/ Topics used in FE

[doodle_sack]

Hi, I searched the forum but couldn't come up with any answers, so here goes my question: What are the topics/ courses that are used in Financial Engineering?

I have the chance to take up to 4 courses (usual UG Physics courses) and my pick was Mathematical Physics & Statistical Mechanics, but I am not quite sure if I am doing the correct thing. Given my interest is to study Financial Engineering, could you tell me what are all the Physics courses that would help me in this regard.

P.S: I am a math major, so I took/ will be taking all the usual math courses (Calc, Real Analysis, Topology, Complex Analysis, Algebra, Diff geo, PDE, ODE, Logic, etc,.).

Thanks for your input guys, much appreciated!

 

[doodle_sack]

Sorry, forgot to mention, my Physics background is Classical Mechanics I at the level of Mechanics: Berkeley Physics Course, Vol. 1, by C. Kittel, et al, Newtonian Mechanics: MIT Introductory Physics Series, by A. P. French.

 

[physiker_192]

I'm no expert, but I came across a book chapter which deals with the application of Path Integrals (due to Feynman) to Financial Markets:

https://www.amazon.com/dp/9814273562/?tag=pfamazon01-20


You can also get a few chapters of the book for free at the author's page:

http://users.physik.fu-berlin.de/~kleinert/kleinert/?p=booklist&details=11

 

[doodle_sack]

Thanks physiker, any other comments are welcome.

 

[Matrix0]

I would say that the courses you have chosen, Mathematical Physics and Statistical Mechanics, are excellent choices for someone interested in Financial Engineering. These courses focus on mathematical and statistical methods, which are crucial in understanding and analyzing financial systems and data.

In addition, I would also recommend taking courses in classical mechanics, electromagnetism, and thermodynamics. These topics provide a strong foundation in understanding the physical principles that govern financial systems, such as the laws of supply and demand and the concept of equilibrium.

Furthermore, courses in quantum mechanics and computational physics could also be beneficial, as they involve complex mathematical models and advanced data analysis techniques that are applicable to financial engineering.

Overall, a strong background in physics, mathematics, and statistics will provide a solid foundation for understanding and analyzing financial systems. It is also important to keep in mind that in addition to technical knowledge, soft skills such as critical thinking, problem-solving, and communication are also crucial for success in the field of financial engineering.