Earlier quoted context omitted.
In what timescale though? There are huge differences between the timescales of "realtime" (say HFT), a second later, a minute later, an hour later, a week later and so on. Do they operate at all of them? I have no specialist knowledge, btw, I'd sincerely like to know!
If you're interested in this, you'll likely enjoy Gregory's interview on Masters in Business (a Bloomberg podcast) from last Wednesday. Also, Gregory's book will be out in a few days. If memory serves, in the aforementioned podcast Gregory mentions that the RenTech generally holds most things for a few days (sometimes a few hours). However, they don't engage in HFT or HFT-like trading. This was surprising to me as I…
The making of Jim Simons
31–40 of 49 posts
Re: The making of Jim Simons
#32Earlier quoted context omitted.
Flip side to this - I remember studying a series of papers in statistics/optimisation/machine learning with highly non-trivial content published between 1998 and 2008 by the Della Pietra brothers. I had assumed they were mathematicians/statisticians at some major research university. At the bottom of one of these papers it had some personal blurbs which stated they had both been at RenTech since 1995 working on "stat…
Do you remember what the titles of papers? I'd like to read them.
Likewise, search Google Scholar for "@rentec.com", or "Renaissance Technologies."
Re: The making of Jim Simons
#33“Jim Simons looked to math and computers as ways to eliminate the emotional ups and downs of investing. “I don’t want to have to worry about the market every minute. I want models that will make money while I sleep.” “ Mr. Simons developed a unique perspective. He was accustomed to scrutinizing large data sets and detecting order where others saw randomness. Scientists and mathematicians are trained to dig below the…
Re: The making of Jim Simons
#34I wonder if anyone has insight into how they have been able to do this consistently in the modern era of quantitative trading (this article had scant detail)? His returns are such an outlier and strategies such a closely guarded secret that they leave people on Wall Street in awe.
To my knowledge, all he has ever said on the subject is: "I think people would be quite surprised if they knew how simple our methods are". You probably won't ever hear more information than that, until their strategies stop working.
In a world where all their statistical arbitrage has ceased to be viable, financial professionals believe that the outsize returns of the Medallion fund in recent history are siphoned from their institutional funds via shell games.
Then, their famous ability to make money even in down markets is attributed to how they smooth out an extremely profitable short term trade, that may have occurred years ago, over the course of many years. This sort of surfaced in their tax avoidance lawsuit too.
You too can make a "Medallion Fund." First, make a venture investment in something that turns out to be Facebook. Keep that equity secret, even when Facebook goes public. All that time, say that your fund has gained 15% year over year, even during a recession. Do this for years until you have taken your 2% management fee to your liking. You've turned your 200x return that happened all at once into something that looks like the world's greatest hedge fund. Lawfully of course.
Re: The making of Jim Simons
#35“Jim Simons looked to math and computers as ways to eliminate the emotional ups and downs of investing. “I don’t want to have to worry about the market every minute. I want models that will make money while I sleep.” “ Mr. Simons developed a unique perspective. He was accustomed to scrutinizing large data sets and detecting order where others saw randomness. Scientists and mathematicians are trained to dig below the…
Warren Buffet was not a math professor...
Re: The making of Jim Simons
#36Earlier quoted context omitted.
To my knowledge, all he has ever said on the subject is: "I think people would be quite surprised if they knew how simple our methods are". You probably won't ever hear more information than that, until their strategies stop working.
> anyone has insight In a world where all their statistical arbitrage has ceased to be viable, financial professionals believe that the outsize returns of the Medallion fund in recent history are siphoned from their institutional funds via shell games. Then, their famous ability to make money even in down markets is attributed to how they smooth out an extremely profitable short term trade, that may have occurred yea…
1) Those tax advantages can only improve returns which are already fundamentally strong, and
2) There is no "smoothing" effect achieved; the options baskets do not defer returns for years at a time.
I get that the cynical take is, as ever, the attractive one on Hacker News. But speaking frankly, what you're saying doesn't actually make sense. Among other problems with your explanation, there's a straightforward wrinkle. While it's not available to the general public, other institutions like Bloomberg and WSJ have had (and still have) access to audited attestations of Medallion's track record over a timespan of 25 years.
Re: The making of Jim Simons
#37Earlier quoted context omitted.
Bill Gates? Haven't read an even slightly negative article about him in more than a decade.
B/c for the past decade he’s been eradicating malaria and being a legit hero. Not a whole lot to complain about Gates during that time frame.
Jim Simons is not yet a household name yet like other billionaires, such as most of the ones who've donated at least half-their-wealth.
Re: The making of Jim Simons
#38Earlier quoted context omitted.
They built a system where any data set can be pushed in, joined with the rest of the data, and then automatically made inferences off of for trading.
This isn't really correct. Renaissance has always put massive personnel and technology investment into its data processing and analysis pipeline. But there is no "automatic inference" generation. It's not so much brute forcing alpha as it is streamlining the process of hypothesis testing for research scientists so that strategies can be very rapidly generated and examined. Automatic inferences would be susceptible to…
Re: The making of Jim Simons
#39I wonder if anyone has insight into how they have been able to do this consistently in the modern era of quantitative trading (this article had scant detail)? His returns are such an outlier and strategies such a closely guarded secret that they leave people on Wall Street in awe.
My impression was that they were doing sophisticated sparse signal reconstruction and then applying some pattern induction algorithms against those signals. The former was, to the best I could discern, absolute state-of-the-art; the latter was merely competent (I've never talked to anyone that was exceptional at this bit). It has been a while but my impression was that a real strength was that this process was highly automated and general, so it could be thrown against almost arbitrary data sources. It is not difficult to imagine how one could build a sustainable and significant edge with this capability. I could be wrong but I don't think I am that far off. Very good math brains, even compared to many of their peers, based on my limited exposure.
I find their performance believable, given the above.
Re: The making of Jim Simons
#40Earlier quoted context omitted.
To my knowledge, all he has ever said on the subject is: "I think people would be quite surprised if they knew how simple our methods are". You probably won't ever hear more information than that, until their strategies stop working.
> anyone has insight In a world where all their statistical arbitrage has ceased to be viable, financial professionals believe that the outsize returns of the Medallion fund in recent history are siphoned from their institutional funds via shell games. Then, their famous ability to make money even in down markets is attributed to how they smooth out an extremely profitable short term trade, that may have occurred yea…