Quantitative Finance for beginners.

[Rosenberg]

Hello All,

I'm so glad I found this forum!

I've been getting interesting in Financial Engineering/Quantitative Finance for a while and I must admit that I understand very little about it. This also came with my interest in Hedge Fund and Investing.

I am a college graduate, but had no mathemics/finance background. What is the best way for someone like me to learn? Are there any books that you guys could recommend for beginners? Should I get a degree in Finance, Computer Engineering, Mathematics, or Statistics?

Any help and information will be greatly appreciated. Thank you.

 

[Joy Pathak]

How to prepare for financial engineering programs | Quant Network

There will be a part 2 soon.

This should help too :

Master reading list for Quants, MFE (Financial Engineering) students - Forum | Quant Network

 

[Andy Nguyen]

You can read the books, guides from the first few section of Master reading list for Quants, MFE (Financial Engineering) students - Forum | Quant Network

When you know what you are getting yourself into, what role you want to play in the market then we can discuss the study plan going forward.

 

[sambititwm]

HI
I'm very new to this field and currently pursuing masters in indiustrial mathematics.Can any one give me some idea regarding the following things?

* Numerical solutions of PDE (existence ,formulation,convergence coding in C++etc etc etc),Grid computing
*Topology, Functional analysis,White noise analysis and especially working in Sobolev spaces (Especially for Optimization in PDEs)
* Control theory and neural network

Are the above mentioned fields helpful to work in industry in the career of a quant?If I make a strong background in the above mentioned areas before graduation , will these things help me in becoming a highly skilled quant?How much Functional analysis and PDE in Sobolev spaces things are useful for the job of a Quant in industry?

* As not much courses of financial mathematics are available in my university and I want to carve out a career as a quant after graduation , should I take optimization courses like Non-linear Optimization,Multi-Criteria Optimization,Matroid theory and application,Graph and algorithm etc or courses based on statistics or courses like approximation of splines and wavelets?

* How far a numerical analyst(especially numerics for PDEs) can explore career aspects as a quant?If one is good in numerical modeling then, will it be helpful for the career as a Quant?

Thank you in advance
sam
*
*
*
*
*