Hedge Fund Generates 34% Return Using Just AI And Machine-Learning
Hedge Fund Generates 34% Return
Using Just AI And Machine-Learning
by Tyler Durden Wed, 06/24/2020 - 14:10
Ever since the advent of active
asset management, Wall Street has had two holy grails: finding a consistent
source of Alpha (which these days simply means frontrunning the Fed), and
finding a replacement to the most expensive cost-center in the asset management
industry: analysts. And while many have tried and failed to replace (highly
paid) humans, an obscure German hedge fund is appears to have struck gold after
generating a 34% gain in 2020 using a machine-learning program targeting
need-for-speed markets.
While many quants have struggled to exploit the promise of AI
over the years, Quantumrock’s $50 million Volatility Special Opportunities
Programme has just drawn an additional $500 million of institutional cash -
after averaging an impressive 16% annual return since its 2016 inception. And,
as Bloomberg reports, with senior personnel hailing from the tech industry
rather than finance - similar to the world's most lucrative hedge fund RenTec
- "founder Stefan Tittel credits the program’s capacity to ride
febrile markets swaying from depression panic to euphoria in less
than three months."
“What we see now is that market regimes and patterns change
almost on a daily basis,” said the Munich-based entrepreneur in his first
asset-management venture. “Since we deploy an AI machine-learning platform --
which is all the time analyzing and listening to the market and analyzing the
shift in pattern probability -- we can keep track of those changes.”
What
is the secret of Quantumrock's success?
According to the report, while half of the fund is a mundane
balanced portfolio strategy consisting of S&P 500 and Treasury futures,
"the other half comprises overlay strategies including volatility
investing which made big bucks in this year’s extreme price swings." And
with the weighting and parameters shifting in sync with the market, when it’s
quiet like last year, these strategies are activated less often. Alternatively,
during times of excessive volatility, the fund seeks to leverage its... well,
leverage.
To be sure, many would argue that Quantumrock's impressive
performance is a fluke and unlikely to be repeated consistently in the future:
its success goes straight to a debate raging in this corner of systematic
finance.
While many quants like short-term trend followers argue modern
markets require ever-faster and more adaptable strategies, others say timing
shifts in fickle markets is fool-hardy and costly.
So is the German fund's AI the missing link? For now, the jury
is out, and as Bloomberg concedes "it’s hard to broadly conclude whether
it can deliver a tangible edge. That’s especially the case when the buzzword
encompasses an array of techniques from scanning reams of text to decision
trees used to find outperforming stocks." But according to head of AI
systems Roman Gorbunov, who has no background in finance, the technology beats
traditional quant methods "because it can find patterns at a much larger
scale and hone in on trading signals."
“You have a lot of noise in the data because markets are very
efficient,” said Gorbunov, whose last gig was working on Amazon Inc.’s
voice-command system Alexa. “If you have a situation where the strategy is
performing well just because it utilizes noise and not real patterns, we can
detect those situations in advance.”
Of course, if the fund can continue to successfully outperform
not only the S&P500 but most hedge funds, that would be very bad news for
thousands of highly paid analysts and PMs who year after year fail to beat
their benchmark and/or the market, as most if not all of them will soon be
replaced by a computer program. And they have Jerome Powell to thank for their
upcoming obsolescence.
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