Question on a course
Just curious how valuable you guys thing a course like this would be for S & T. If this doesn't sound useful, what should i look for in a stat course. I have to take at least 2 of them, so i might as well take 2 that will be useful to me.
"This course is a continuation of Economics 145, and gives
broader coverage of linear regression and the construction
of empirical models. Topics include the analysis of variance,
simple and multiple regression, index numbers,
forecasting, nonparametric methods, and statistical methods
for quality control."
Thanks
I am not in S&T but it seems apparent that statistics is a valuable background to have.
As far as the course goes, it looks like a beginner stat class. See if they have something that covers more topics.
sounds like econometrics or forecasting models
would econmetrics/forecasting models be useful for s&t??
I've used my statistical training maybe twice in 10 years on the job. Make of that what you will.
See if you can get onto a behavioural finance course.
Thanks a lot for your answers guys.
What courses would deal with behavioral finance? I have looked through my course book and don't see anything that seem to relate directly to the concept.
One more question, what math/stat classes do recruiters want to see on your transcript/resume? I haven't taken the prereq's to take the probability courses yet, so i'm looking for something else.
Thanks
stochastic calc is often mentioned as useful along with a solid background in probability and statistics (you'll likely need a course or two in prob/stat before you're ready to take stochastic). i'd imagine a class on differential equations couldnt hurt either as i've learned more about block scholes and option pricing in my math classes than i have in finance classes (though i doubt itd really be directly useful as far as landing interviews)
on the whole though, i seem to get the feeling that a ton of math isnt necessary unless you want to pursue a career that's quant heavy...is that accurate?
i guess i never learned how to spell black scholes though...
Intro stat/prob classes are all the same.
I don't know what recruiters want to see, but I know multivariable, linear algebra, probability (calculus prereq) would be the most useful (minimum should be the multivariable for non-math majors- w/o linear algebra as a prereq and some intro prob/stat class)
If someone wants to take more than I think they should stay away from abstract algebra after that one semester and go for an applied math/differential equations course (most univs have intro ODE/ intro PDE full-year sequence.
If you still have more time (math majors only probably) they should take some Intro Analysis. The other courses in undergrad math aren't too important. You'd want to take specialized math-finance courses if you continued after this.
...and who are you to be giving out this information?
I'm just a math major (lower ivy league). Also I repeat "I don't know what recruiters want to see"
The information I posted is based on the material relevant/required of most math finance grad programs and on a conversation with someone in FX structuring.
>Now Dave, I take it you're a hostile yale fratboy who'd rather suck a cock than differentiate? lol
Burn...
A ton of math isn't a requirement to do trading for the most part. But realize that most of the traders have a fairly strong quant background (math, physics, engineering... undergrad) in some products like - interest rate derivatives, inflation derivatives, correlation products.
This is because if you understand the models, really understand them you can better implement what they tell you. I think it'd be very difficult to trade some IR derivs without having any idea what assumptions the pricing model was making, and how it was carrying out the analysis on the price.
So, taking some multivar, diffeq, linear algebra, high level probability, a stochasic processes course where you cover brownian motion, jump processes, etc. could be helpful.
dave you didn't respond to my joking. just so you know i was j/k lol
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