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Most important papers for quantitative traders

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41–50 of 65 posts

Re: Most important papers for quantitative traders

#41
post #35

Quant trader here... I'm a big seller of this list. Making money tends to be a relatively empirical endeavor. It's all about having information about the future and using that in judiciously way and less so about any particular theory or model. I see someone else mentioning Grinold and Khan "Active Portfolio Management", I can't recommend it enough, it's basically a how to for making money quantitatively in a princip…

Seller of this list, as in you think it's not a good list?

Re: Most important papers for quantitative traders

#42

This is what I wanted to do when I was getting my math degree! I wanted to be a quant. Things went a different direction and I'm a programmer now. Is there any hope for me? Think I could still chase it down in my spare time, or is it something I need, say, a master's degree for?

You will be better off going independent, than trying to break into the industry (unless your PhD was from a top program, and you're on the younger side). In that vein, Ernest P. Chan's books will give you the toolkit to begin, and then you can figure out the rest as-needed. Quantitative Trading (2nd), Chan I believe is the first in the series. Algorithmic Trading I believe is the second. And Machine Trading is the l…

>Independent

Really? Everything I've ever seen recommends against this.

Re: Most important papers for quantitative traders

#43
post #40
post #35

Quant trader here... I'm a big seller of this list. Making money tends to be a relatively empirical endeavor. It's all about having information about the future and using that in judiciously way and less so about any particular theory or model. I see someone else mentioning Grinold and Khan "Active Portfolio Management", I can't recommend it enough, it's basically a how to for making money quantitatively in a princip…

> having information about the future How, uh, do you do this legally? >If you are using python And if you're using C++?

> How, uh, do you do this legally?

I don't think you can generally, but in specific contexts, having a model of the system allows you to extrapolate. For example, people who foresaw how the pandemic would or even could play out made lots of money. The further out you can connect the dots, to secondary or tertiary effects, the better. I did nothing personally.

Re: Most important papers for quantitative traders

#44

This is what I wanted to do when I was getting my math degree! I wanted to be a quant. Things went a different direction and I'm a programmer now. Is there any hope for me? Think I could still chase it down in my spare time, or is it something I need, say, a master's degree for?

Hi there! I'm the author of the article.If you have a programming skills and a mathematics background, it is possible to break into the industry. Even better if your current role is as a data scientist of machine learning engineer. I work as a quant on a second tier hedge fund. The pool of potential firms is actually pretty big, but most people think that the only shops out there are citadel, two sigma or rentech. Th…

What are the noncompetes like? I've heard that once you work for one shop, you basically can't work/apply your knowledge & skills anywhere else, which leads to stress about keeping your job.

Re: Most important papers for quantitative traders

#45
post #43
post #40

Earlier quoted context omitted.

> having information about the future How, uh, do you do this legally? >If you are using python And if you're using C++?

> How, uh, do you do this legally? I don't think you can generally, but in specific contexts, having a model of the system allows you to extrapolate. For example, people who foresaw how the pandemic would or even could play out made lots of money. The further out you can connect the dots, to secondary or tertiary effects, the better. I did nothing personally.

[deleted]

Re: Most important papers for quantitative traders

#46
post #35

Quant trader here... I'm a big seller of this list. Making money tends to be a relatively empirical endeavor. It's all about having information about the future and using that in judiciously way and less so about any particular theory or model. I see someone else mentioning Grinold and Khan "Active Portfolio Management", I can't recommend it enough, it's basically a how to for making money quantitatively in a princip…

A big seller? So you are shorting this list?

Little know fact: the CAPM is an equality of random variables, not just their expected value. https://arxiv.org/abs/2009.10852

Re: Most important papers for quantitative traders

#47
post #40
post #35

Quant trader here... I'm a big seller of this list. Making money tends to be a relatively empirical endeavor. It's all about having information about the future and using that in judiciously way and less so about any particular theory or model. I see someone else mentioning Grinold and Khan "Active Portfolio Management", I can't recommend it enough, it's basically a how to for making money quantitatively in a princip…

> having information about the future How, uh, do you do this legally? >If you are using python And if you're using C++?

Forecast! Time to reach for your linear regression, GBDT or NN.

Re: Most important papers for quantitative traders

#48
post #41
post #35

Quant trader here... I'm a big seller of this list. Making money tends to be a relatively empirical endeavor. It's all about having information about the future and using that in judiciously way and less so about any particular theory or model. I see someone else mentioning Grinold and Khan "Active Portfolio Management", I can't recommend it enough, it's basically a how to for making money quantitatively in a princip…

Seller of this list, as in you think it's not a good list?

Not really going to help you make money...

Re: Most important papers for quantitative traders

#49
I recommend anything by Marcos López de Prado:

https://quantresearch.org/

He has written a book and published several articles on financial machine learning, including what to look for,how to avoid overfitting, in detail, and done so far better than I've seen elsewhere.

Good luck!

Re: Most important papers for quantitative traders

#50
post #42

Earlier quoted context omitted.

You will be better off going independent, than trying to break into the industry (unless your PhD was from a top program, and you're on the younger side). In that vein, Ernest P. Chan's books will give you the toolkit to begin, and then you can figure out the rest as-needed. Quantitative Trading (2nd), Chan I believe is the first in the series. Algorithmic Trading I believe is the second. And Machine Trading is the l…

>Independent Really? Everything I've ever seen recommends against this.

Don't do it if you need the money.

At that point, it's like any other hobby: horse-racing, sports-betting, or purchasing YCH commissions to hang up on your dining room wall.

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