- Joined
- 7/22/07
- Messages
- 6
- Points
- 11
Hi,
i'm an italian student of Applied math.
I'm on the first year of bachelor degree and i'm now choosing a master to apply.
I like very much maths, especially numerical math so i thought that maybe a MFE could feed my passion and put some bread on my plate :D:D
Looking around on the internet i heard a lot of good things about this school, and so i started to give a look at the courses in my spare time.
This course, as many others MFE, imho is a bit... on the easy way.
Look: I don't want to offend or demolish anyone's work... but...
It's a bit too weak on the math... I always thought that finance requires very strong mathematical instruments... But looking at the course it lacks on strong maths tools...
I've alredy done all of thoose things on the second semester... Both theroically (demostration of convergence, geometrically representation, ...) and pratically (application by hand, with matlab or homemade C code)...
I've yet done a very strong, multivariable, approach to integration theory and the next semester i'll have measure theory and probabilistic calculus the next semester...
On the third year i have 8 exams about thoose topics...
It's right: i'm having a far more mathematical and less financial approach... And doing finance without either knowing the mean of "stock" is impossible... but anyhow i think this master lacks a bit in math.
Instead i've seen an intersting MFE with a lot of maths and a lot of economics:
Stochastics and Financial Mathematics - Programme
http://www.few.vu.nl/en/aanstaande_studenten/masters/stochastics/page_sfm_link1.html
Again i say i don't want to be annoying or arrogant, but i would like to hear your opinion...
Definetly the question is: It's just an impression that many of the worldwide MFE are a bit lacking on the math side?
How do i have more chance to get a job? Applying to a course like your or having a stronger mathematical background?
I mean: it doesn't look like you do any seriously bayesian statistics for example... but BS it's a very intersting, vital and useful tool for modern finance...
Thanx a lot, and sorry for my crap english, but i'm not used to english... Just to the one you hear on family guy :D:D:
i'm an italian student of Applied math.
I'm on the first year of bachelor degree and i'm now choosing a master to apply.
I like very much maths, especially numerical math so i thought that maybe a MFE could feed my passion and put some bread on my plate :D:D
Looking around on the internet i heard a lot of good things about this school, and so i started to give a look at the courses in my spare time.
This course, as many others MFE, imho is a bit... on the easy way.
Look: I don't want to offend or demolish anyone's work... but...
It's a bit too weak on the math... I always thought that finance requires very strong mathematical instruments... But looking at the course it lacks on strong maths tools...
MTH 9821 Numerical Linear Algebra (core math course)
This course begins with a brief presentation of fundamental linear algebra topics: vector spaces,
eigenvalues and eigenvectors, and diagonal forms of matrices. The main part of this course consists of the study of numerical methods used in linear algebra: direct and iterative methods for solving linear systems, eigenvalue methods, least square problems, and Newtons method.
I've alredy done all of thoose things on the second semester... Both theroically (demostration of convergence, geometrically representation, ...) and pratically (application by hand, with matlab or homemade C code)...
MTH 9831 Real Analysis and Probability (core math course)
This course covers enough measure and integration theory to lead quickly to probability. The fundamentals of probability are then covered, to include probability spaces, random variables, expectation, conditional probability and expectation, moments and certain limit theorems.
I've yet done a very strong, multivariable, approach to integration theory and the next semester i'll have measure theory and probabilistic calculus the next semester...
MTH 9852 Numerical Methods for PDEs in Finance (core math course)
Security prices are often represented as solutions to parabolic partial differential equations (PDEs)
arising out of the stochastic calculus. This course focuses on the study of these equations, from both a theoretical and a numerical point of view. Several finite difference methods are presented, and their performance is compared with other methods, e.g., binomial methods. Applications include the Black-Scholes formula for American options as the solution of a PDE as well as some exotic option pricing. Prerequisites: MTH 9815, MTH 9821, MTH 9831.
MTH 9862 Stochastic Processes in Finance (core math course)
This course covers the basic stochastic processes and probabilistic techniques used in finance,
for example: random walks, Markov chains, martingales, Brownian Motion, stochastic integration, and Itô's formula. The Black-Scholes formula is presented from the standpoint of expectation in
an appropriate probability space. Prerequisites: MTH 9815, MTH 9821, MTH 9831.
On the third year i have 8 exams about thoose topics...
It's right: i'm having a far more mathematical and less financial approach... And doing finance without either knowing the mean of "stock" is impossible... but anyhow i think this master lacks a bit in math.
Instead i've seen an intersting MFE with a lot of maths and a lot of economics:
Stochastics and Financial Mathematics - Programme
http://www.few.vu.nl/en/aanstaande_studenten/masters/stochastics/page_sfm_link1.html
Again i say i don't want to be annoying or arrogant, but i would like to hear your opinion...
Definetly the question is: It's just an impression that many of the worldwide MFE are a bit lacking on the math side?
How do i have more chance to get a job? Applying to a course like your or having a stronger mathematical background?
I mean: it doesn't look like you do any seriously bayesian statistics for example... but BS it's a very intersting, vital and useful tool for modern finance...
Thanx a lot, and sorry for my crap english, but i'm not used to english... Just to the one you hear on family guy :D:D: