Usually when I walk into a room full of hedge fund managers, the average IQ drops precipitously. Today, as I walked into the annual New York edition of “Battle of the Quants”, there was a palpable sense that a mortal had just infiltrated the rarefied world of math Ph.D.’s, think tank researchers and finance professors. Today, your humble scribe was an “embedded reporter” with the troops fighting a battle between robots and humans and between robots and themselves.
What follows are field notes taken – and published – during the fighting.
“I’m very interested in gambling”
There are worries about the amount of snow in Vancouver for the Winter Olympics. So the first speaker today, William Ziemba, Professor Emeritus at Vancouver’s University of British Columbia was likely a little surprised to see a blanket of the white stuff on the ground here in New York. (Ziemba is actually teaching at Oxford right now.)
He told the audience that he’s “very interested in gambling”, which means that he “gets calls from some very interesting people.” One of his clients is a trend follower in the Bahamas who is so good at Black Jack that he is banned from playing the game in over 40 countries – a badge of honor we surmise. (”Once you’re banned in one country, you get banned in them all”, he points out). Ziemba has also co-authored a book on horse racing.
Using “gambling” (a.k.a. “quant”) strategies, he says that he has “worked with several people who have begun with zero and ended up billionaires.” He referred to one of them several times during his talk, referring to him as “a client that is so secret, I can’t even mention his name.”
Little-known power brokers
Ziemba is currently working on a book about the Kelly Criterion – an approach that he says he once taught to Jim Simons – the hedge fund manager Ziemba describes as the “greatest trader in history” (an assertion that he later proves mathematically). To describe the Kelly Criterion, he uses a parable very similar to the one described on these pages by Ranjan Bhaduri. The bottom line: The Kelly Criterion can help manage Black Swans.
Ziemba weaves a fascinating tale of mega quant traders and hedge fund managers that included Brian Hunter, Victor Niederhoffer, Simons, and others.
Secret billionaires? Giant market bets? Swans? It’s enough to fuel conspiracy theorists. Here’s a theory for you: Ziemba’s homepage logo (above right) is eerily reminiscent of another mysterious organization – The Dharma Initiative in TV’s Lost (below – right). Note to US readers, watch Lost’s season premiere next week to see if Ziemba makes a cameo.
The “battle” begins
AllAboutAlpha.com friend (and quant manager himself) Giovanni Beliossi of FGS Capital introduced the annual “machine vs. human intelligence” debate. The panel was moderated by Karsten Schroeder, CEO of Amplitude Capital and was judged by The Wall Street Journal’s Scott Patterson, Tarek Ritz of CSFB and Kevin Kribs of Lighthouse Partners. Combatants from Tradeworx, Rand Labs and Quantitative Asset Management argued on behalf of machines (who, being machines, weren’t able to make it here today). Representatives from Starmine, Catalpa Capital and AllAboutAlpha.com contributor Denise Shull argued for the poor old humans.
Regular readers will recall this recent post about a research study comparing “quants” and “quals”. Schroeder referenced similar research on systematic traders vs. discretionary.
The main argument raised by the humans: things change. Only human discretion can adequately address these unforeseen changes. The main argument made by the robots: you can’t find the trends without us! On behalf of humans, Shull retorted out that the selection and dedication to a particular quant model is itself a human foible that requires flexibility to manage properly. She argued in favour of both sides by saying the debate is somewhat artificial since humans are required to develop, operate, and tweak quant models. Argued Shull emphatically:
“The idea of taking emotion out of it is a complete farce. No one here would be able to choose what to wear this morning if they lacked the ability to have emotion! There is emotion at play when quants choose factors of their models.”
Although here pleas were met with scattered applause, the outcome of this particular “battle” was less certain. The final verdict from the judges: systematic scores a narrow victory.
Kudos go out to Swiss moderator Karsten Schroeder for keeping Swiss-time as he lobbed the panel nearly 2 dozen questions in 45 minutes and for highlighting some interesting parallels to quantitative management (e.g. online dating websites as quant managers, and weather forecasters as systematic traders and major league baseball coaches as discretionary managers). Not surprisingly, these allegories elicited the most violent clashes in this particular battle.
Humans as sore losers
After listening to quants themselves for 2 hours, next up were three quant investors. At most conferences, a hush falls over the audience as attendees (often marketing professionals of some form) listen intently for anything that would help them argue in favour of their particular fund. The choice of many here to use this opportunity to convene informal discussions in the hallways during this panel was actually a bit of a refreshing change. Clearly, many of the quants in this audience really do just want to talk about quant investing rather than market their funds.
Unfortunately, they missed some interesting comments on quant management from an investor’s perspective. Although research shows that quants tend to be much larger than discretionary managers, two of the panelists, a family office and a small fund of funds both focus on emerging funds (and, by extension emerging quants). However, Brian Chung from SSARIS, State Street’s fund of hedge funds disagrees – pointing to back-fill bias as the reason for the out performance of emerging managers.
Chung also notes one special challenges faced by human beings in high frequency trading. He said it’s psychologically difficult to be a discretionary CTA “when you know that 60% of your trades are going to be loser.” However, he said, computers are better at losing like this. Succinctly stated, computers aren’t sore losers.
Panelists, Terri Chernick, CIO of The Koffler Group Family Office has a degree in neuroscience. That came in handy as she explained that there was no “direct pathway” from your sensory organs to the higher-order portions of your brain. All sensory information must first go through the more primitive segments of your brain. Ergo (as Denise Shull would surely agree), there is no such thing as a purely “logical” trade.
Revenge of the Nodes
Last year’s keynote speaker at this event was Ray Kurzweil, Director of the Singularity Institute for Artificial Intelligence (see our coverage). This year Kurzweil’s colleague Ben Goertzel addressed the gathering on the topic of “using artificial intelligence, complex systems, and sentiment to identify stress points in the global financial system.”
Goertzel is the only person in this room with a ponytail – but that shouldn’t fool anyone. He’s used some of his automated news gathering/analysis algorithms to gauge things like market sentiment for some of the world’s largest hedge funds.
He describes “scale-free” networks as ones where a few nodes have a lot of connections, but most nodes have only a few connections (think Facebook). It doesn’t take a Ph.D. to see the implications for financial markets. Attendees at Global ARC in Boston last fall will remember this concept from a fascinating panel involving the same topic (see article on this topic by co-panelists George Sugihara and Lord Robert May in the journal Nature.)
Instead of exploring the implications for financial regulators, Goertzel turns his attention to the search for the news that drives financial markets (”networks of news and sentiment rather than networks of money” as he describes it). Just as regulators look for possible “cascades” of bank failures, Goertzel thinks you could examine “cascades of negative sentiment”. He figures it will be about five years before we’re able to analyze sentiment in this way.
Goertzel also touches on the raison d’etre of the Singularity Institute – to explore the possibility that technology will improve so quickly by around 2045 that it will eclipse our ability to manage it. He defines “Narrow AI” as artificial intelligence systems designed for a single purpose. “Artificial General Intelligence” (AGI) solve problems that simply did not exist when the system was developed.
Early forms of this kind of AI are being applied to video games. But Goertzel says that it will eventually be applied to quantitative investing. In fact, he concludes…
“Whoever cracks this first is going to make a heck of a lot of money.”
A flash in the pan?
Irene Aldridge wrote the book on high frequency trading (literally – “High Frequency Trading: A Practical Guide to Algorithmic Strategies and Trading Systems“). She joined co-panelists Richard Brown, head of “machine readable news” at Thomson Reuters, Mark O’Friel of MOF Capital and Scott Ignall of Lightspeed Financial in a discussion of whether high frequency trading was here to stay.
Aldridge points out that the definition of “high frequency trading” is amorphous. She says that anyone can be a market-maker now. Some, such as Professor Harry Kat, have suggested on these pages that many major hedge funds are just market makers in drag.
Brown warned that regulation may stymie the growth of high frequency trading in places like Brazil. On the other hand, Aldridge said she was getting lots of emails from Silicon Valley rocket scientists who were developing trading algorithm in their garages. LightSpeed’s Ignall is also seeing a lot of newly minted Ph.D.’s entering the field. “That sort of innovation”, he says, “will allow for a lot of growth in the future”.
“Growth” in high frequency trading volumes, for sure. But the hedge fund industry knows that less liquid investments usually lead to high returns. So does greater liquidity resulting from the proliferation of high frequency trading mean less opportunity for alpha-generation? Aldridge pointed to one Canadian firm in the news today that often accounts for more daily volume than Canada’s big 5 banks. But the question remains: How many more arbitrage opportunities are there?
Managed Futures. Managed Accounts.
AllAboutAlpha.com Editorial Board member and frequent contributor Ranjan Bhaduri, CAIA appeared today along with CAIA Curriculum Committee member Ernest Jaffarian, CAIA and others to discuss why managed futures investors have always flocked to managed accounts.
For more on managed accounts, see:
The home stretch…
Hedge fund leaders from Innocap (part of the National Bank of Canada), CSFB, Merrill and IKOS were then handed the impossible complex question of what was learned over the past 2 years. Was tail-risk under-appreciated? Did quant managers ignore warning signs?
Innocap’s Martin Bernier said that the financial crisis proved that manager – and strategy - due diligence was the critical success factor for the firm’s managed account platform. He says that growing interest in managed accounts is definitely another outcome of the calamity. In fact, he cites 2 surveys in the past year (one by Albourne and the other by DB) showing that his firm is certainly not alone in attracting interest from institutional investors.
The final panel of the day tried to answer the question of which quant/CTA strategies work best in which type of environments. As usual, the stage was stacked with Ph.D.’s in mathematics and professors of finance. One of the panelists was a founder of a French quant hedge fund called, simply “Numbers” (website here – tough to Google that one btw).
As you might guess, most managers said CTAs proved their mettle during the 2008 market drawdown – even if they took a breather last year. So which strategies will work this year? Without exception, panelists adeptly sidestepped the question – with one saying that CTAs “are reactive, but not predictive” and another saying that “managers that will do well are those that are committed to getting an informational advantage”.
And with that, the “battle” died down and combatants began quenching their thirsts with the first in a series of 4 consecutive social events culminating in an official “after-party”. Quants like to party (”Think hard, play hard”, right?). Hopefully, the attendees will knock a few points off their IQ’s tonight and bring them a notch closer to that of your humble scribe…