Measure theoretic probability theory is going to be useful for econometrics, but have you also taken any graduate micro and metrics? Those are arguably more useful since you already have the math classes.
I am a final year undergrad student looking forward to applying for PhD probably in 2022. I was wondering if taking grad math courses (grad Real Analysis - Hilbert space, grad Probability - measure based prob theory) would enhance my chances.
I have taken most of the relevant math courses (analysis, real analysis, topology, stochastic processes, etc) and I think I would most probably get at least A's from the grad courses as well. If so, should I take them, or would it be a waste of time?
Always thank you for great advice
(btw, I am looking forward to studying financial economics)
Last edited by WelshCorgi; 05-18-2020 at 04:24 AM. Reason: Some additional info
Well, actually I am going to attend Econ Masters from next semester, so grad micro and metrics courses would have been taken by the time I apply for Phd. I was just wondering if some advanced math courses would provide any benefit in the application process. (Since my undergrad GPA is not as optimal: around 3.7/4.0 US standard)
Looking at your profile evaluation thread, it seems like you are interested in pursuing a PhD in Finance. Is that correct? If so, your best bet is to post in the Business PhD thread (As they can guide you better).
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