Earlier quoted context omitted.
While I always preached just buying the S&P one risk i've been seeing with it is if, a majority of investors just buy the S&P index, since the index is market cap weighted, it would just make the largest stocks in the index more expensive. This would make the stocks that have less weight in the index or stocks outside the index relatively cheap and obviously offer better returns. Anyone disagree?
Reality seems to disagree: https://www.sebastianstoeckl.com/post/ffdownload/index_files... https://en.wikipedia.org/wiki/Fama–French_three-factor_model... SMB stands for "Small [market capitalization] Minus Big" and measures the historic excess returns of small caps over big caps.
Offline Algorithms in Low-Frequency Trading
81–90 of 106 posts
Re: Offline Algorithms in Low-Frequency Trading
#82Earlier quoted context omitted.
Reality seems to disagree: https://www.sebastianstoeckl.com/post/ffdownload/index_files... https://en.wikipedia.org/wiki/Fama–French_three-factor_model... SMB stands for "Small [market capitalization] Minus Big" and measures the historic excess returns of small caps over big caps.
A lot of ff research is not very rigorous and highly suspect imo. it's more likely imo that smb is a risk premia than some sort of alpha factor
See for example https://www.msci.com/documents/1296102/1336482/Foundations_o...
Re: Offline Algorithms in Low-Frequency Trading
#83Earlier quoted context omitted.
Reading more about things you haven't read about before will increase your total knowledge and therefore make you better off in a holistic sense, yes. In a purely monetary sense, no it will probably not have any effect on your life.
Knowledge is not infinitely accretive
Re: Offline Algorithms in Low-Frequency Trading
#84Earlier quoted context omitted.
Reality seems to disagree: https://www.sebastianstoeckl.com/post/ffdownload/index_files... https://en.wikipedia.org/wiki/Fama–French_three-factor_model... SMB stands for "Small [market capitalization] Minus Big" and measures the historic excess returns of small caps over big caps.
A lot of ff research is not very rigorous and highly suspect imo. it's more likely imo that smb is a risk premia than some sort of alpha factor
Re: Offline Algorithms in Low-Frequency Trading
#85Earlier quoted context omitted.
A lot of ff research is not very rigorous and highly suspect imo. it's more likely imo that smb is a risk premia than some sort of alpha factor
The factors in the Fama-French model are risk premia, I cannot make any sense of what you say. See for example https://www.msci.com/documents/1296102/1336482/Foundations_o...
What I mean is that I don't believe smb truly delivers superior risk adjusted returns. For example, I believe the betting against beta factor (BAB) does, while smb does not.
Re: Offline Algorithms in Low-Frequency Trading
#86Earlier quoted context omitted.
The factors in the Fama-French model are risk premia, I cannot make any sense of what you say. See for example https://www.msci.com/documents/1296102/1336482/Foundations_o...
Sorry, I'm using risk premia incorrectly (quant equities isn't actually my thing). What I mean is that I don't believe smb truly delivers superior risk adjusted returns. For example, I believe the betting against beta factor (BAB) does, while smb does not.
For what it’s worth, the value factor is not doing well recently either...
Re: Offline Algorithms in Low-Frequency Trading
#87Earlier quoted context omitted.
Sorry, I'm using risk premia incorrectly (quant equities isn't actually my thing). What I mean is that I don't believe smb truly delivers superior risk adjusted returns. For example, I believe the betting against beta factor (BAB) does, while smb does not.
We agree then, the size factor has not been really outperforming since it was introduced in the nineties. Maybe the drivers of the outperformace were things like transaction costs and lack of information which are less of an issue in recent times. For what it’s worth, the value factor is not doing well recently either...
hmu
Re: Offline Algorithms in Low-Frequency Trading
#88Earlier quoted context omitted.
I did make my own option trading algo which is similar to the one in the Git Hub repo (but I used Scala, which gave me additional returns, jk :) ). Return totally depends on the delta of the options you write and the option symbols in your basket. Mine could be configured to be between 10-100+%. The higher the return the more volatile. The idea of using multiple symbols like SPY and TLT is to reduce the tail risk. Bu…
Another way to reduce tail risk when selling options is to simply hedge with a protective call/put at a higher or lower strike respectively. Sufficiently far off strikes will have minimal impacts on returns while reducing tail risk.
Re: Offline Algorithms in Low-Frequency Trading
#89Earlier quoted context omitted.
Genuine question, does this strike others as immensely off-topic? I'm curious if the parent commenter even opened the link. I'm sure there are applications of generalized knapsack problems (or dynamic programming generally) in options trading, but this isn't it.
Are you a tourist on hacker news? This is almost the defining trait of a HN post.
Re: Offline Algorithms in Low-Frequency Trading
#90Earlier quoted context omitted.
Do you maybe have some books you could recommend? I have a strong math background, so that’s not a problem. I have a hard time finding courses or books that cover how these instruments work in some depth.
The problem is the books don't really tell you. They're written in this mathematical way that kinda obscures how to actually think about them practically. If you're more into math maybe stochastic calc will be just fine for you. Here we go anyway: Hull: Futures, Options, and Other Derivatives Natenberg. Don't recall the name, but this is maybe the closest to practical. Paul Wilmott, Quantitative finance. Taleb, Dynam…
Interesting comment about the math. For my physics degree, a lot of times it was easier to think about things once I understood more of the math. I’ll see how it goes here.