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re: Getting Past the Gate: Capital Introduction at Prime Brokerage Firms
Posted on 9/25/14 at 6:19 pm to Doc Fenton
Posted on 9/25/14 at 6:19 pm to Doc Fenton
Okay, I need to just put something down for Part III tonight, or else I'm going to get lost in ideas again and never finish this:
III. STRATEGIES FOR GENERATING ALPHA
A. Hedge Funds and Hidden Beta
B. High Frequency Algorithmic Trading Strategies
C. Other Quantitative Strategies: The EMH vs. Fama-French & Shiller's CAPE
D. Recent Work of Clifford Asness and Others
E. Current Trends
III. STRATEGIES FOR GENERATING ALPHA
A. Hedge Funds and Hidden Beta
B. High Frequency Algorithmic Trading Strategies
C. Other Quantitative Strategies: The EMH vs. Fama-French & Shiller's CAPE
D. Recent Work of Clifford Asness and Others
E. Current Trends
Posted on 9/25/14 at 6:37 pm to Doc Fenton
III-A. Hedge Funds and Hidden Beta
There were a few links I remember reading about this online that I haven't been able to find this week, and although that's been really aggravating, it's not really a big deal, because the basic idea here is pretty simple--hedge funds tend to hide their true level of investment risk (producing hidden beta, or "alternative beta"), thus making their alpha (i.e., their returns generated by investment skill over and above what an efficient return should be for the same level of investment risk) seem much higher than it really is.
Google "hedge fund clone/cloning" and you'll see lots of interesting links about how many academic researchers think it may be possible to replicate hedge fund returns, which are more due to hidden beta rather than true alpha. (There is also a Wikipedia entry on " hedge fund replication," although it is rather minimal.)
One of the most cited papers in this field is by Jasminah Hasanhodzic & Andrew W. Lo. Of note is that Lo published a book back in 1999, " A Non-Random Walk Down Wall Street," which was a sort of very technical rebuttal to Burton Malkiel's more famous book.
Jasminah Hasanhodzic
In any case, it is now a well established truth that hedge funds tend to produce most of their eye-popping returns through various methods of hiding their true level of risk. Jaeger & Pease seem to have the most popular book on this subject at the moment on Amazon, although other academics like Jens Jackwerth have also studied the issue in depth.
Without going into any detail (which I must admit to having not studied up on myself), these are the categories of hidden risk listed by Jaeger & Pease:
-- roll yield risk
-- commodity hedging risk
-- volatility risk
-- convergence risk
-- complexity/efficiency risk
-- momentum risk
-- value risk
-- FX carry risk
-- term risk
-- credit risk
-- EmMa risk
-- duration (bond) risk
-- equity risk
So please don't ask me what any of that means right now (the author claims that only the last 2 categories typically apply to common investors), but you know... I think you can get the gist of what's going on here.
There were a few links I remember reading about this online that I haven't been able to find this week, and although that's been really aggravating, it's not really a big deal, because the basic idea here is pretty simple--hedge funds tend to hide their true level of investment risk (producing hidden beta, or "alternative beta"), thus making their alpha (i.e., their returns generated by investment skill over and above what an efficient return should be for the same level of investment risk) seem much higher than it really is.
Google "hedge fund clone/cloning" and you'll see lots of interesting links about how many academic researchers think it may be possible to replicate hedge fund returns, which are more due to hidden beta rather than true alpha. (There is also a Wikipedia entry on " hedge fund replication," although it is rather minimal.)
One of the most cited papers in this field is by Jasminah Hasanhodzic & Andrew W. Lo. Of note is that Lo published a book back in 1999, " A Non-Random Walk Down Wall Street," which was a sort of very technical rebuttal to Burton Malkiel's more famous book.
Jasminah Hasanhodzic
In any case, it is now a well established truth that hedge funds tend to produce most of their eye-popping returns through various methods of hiding their true level of risk. Jaeger & Pease seem to have the most popular book on this subject at the moment on Amazon, although other academics like Jens Jackwerth have also studied the issue in depth.
Without going into any detail (which I must admit to having not studied up on myself), these are the categories of hidden risk listed by Jaeger & Pease:
-- roll yield risk
-- commodity hedging risk
-- volatility risk
-- convergence risk
-- complexity/efficiency risk
-- momentum risk
-- value risk
-- FX carry risk
-- term risk
-- credit risk
-- EmMa risk
-- duration (bond) risk
-- equity risk
So please don't ask me what any of that means right now (the author claims that only the last 2 categories typically apply to common investors), but you know... I think you can get the gist of what's going on here.
Posted on 10/3/14 at 7:05 am to Doc Fenton
I didn't have time this week to do this subsection very well or in any depth, but I did manage to find a collection of links that seem like they could give an interesting introduction to this HF/algo stuff, and given that I started posting stuff in Ole War Skule's Death Cross thread this morning, I might as well plop this stuff down too.
III-B. High Frequency Algorithmic Trading Strategies
NumericalMethod.com: Introduction to Algorithmic Trading Strategies
Stanford: STATS242 - Algorithmic Trading and Quantitative Strategies
Columbia: IEORE4733 Algorithmic Trading
Modrika: Algorithmic Trading Course
QuantMaster (India): Quantitative and Algorithmic Trading Course
IFM (Institute for Financial Markets): Is Algorithmic Trading within Your Grasp?
Stevens.edu: Algorithmic Trading Strategies Graduate Certificate
Also, here is a thread from QuantNet talking about the strengths and weaknesses of various quant programs when it comes to HF and algo trading: LINK.
The interesting takeaways from that thread for me are the big names--Jim Gatheral at Baruch (I used one of his algorithms for a local stochastic volatility class project), and Robert Almgren at NYU.
Finally, here's a 30-minute YouTube video on HF and algo trading that I plan to watch sometime later this weekend: " High Frequency Trading Explained (HFT)."
III-B. High Frequency Algorithmic Trading Strategies
NumericalMethod.com: Introduction to Algorithmic Trading Strategies
Stanford: STATS242 - Algorithmic Trading and Quantitative Strategies
Columbia: IEORE4733 Algorithmic Trading
Modrika: Algorithmic Trading Course
QuantMaster (India): Quantitative and Algorithmic Trading Course
IFM (Institute for Financial Markets): Is Algorithmic Trading within Your Grasp?
Stevens.edu: Algorithmic Trading Strategies Graduate Certificate
Also, here is a thread from QuantNet talking about the strengths and weaknesses of various quant programs when it comes to HF and algo trading: LINK.
The interesting takeaways from that thread for me are the big names--Jim Gatheral at Baruch (I used one of his algorithms for a local stochastic volatility class project), and Robert Almgren at NYU.
Finally, here's a 30-minute YouTube video on HF and algo trading that I plan to watch sometime later this weekend: " High Frequency Trading Explained (HFT)."
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