Technology: The Master of Robots Left AQR. Now He’s Coming for Wall Street - ** MARKETS at Wall Street Close ** - PressFrom - US

Technology The Master of Robots Left AQR. Now He’s Coming for Wall Street

18:06  09 october  2019
18:06  09 october  2019 Source:

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Swiss Lender Adopts Tireless Computer Bots in Cost-Cutting Drive A 151-year-old Swiss bank is among the first wave of smaller lenders deploying robots for basic tasks to drive down costs and is considering expanding its use of the technology. require(["medianetNativeAdOnArticle"], function (medianetNativeAdOnArticle) { medianetNativeAdOnArticle.getMedianetNativeAds(true); }); After a successful test run, St. Galler Kantonalbank AG decided to employ three bots for jobs such as compiling information and using it to fill out forms. The company plans to add a fourth soon and has set up a five-member team to look at ways of employing the technology.

Nearly every Wall Street firm has put out research reports on the tens of billions of dollars of revenue that might be lost to these upstarts in the coming years. Chou left Goldman in 2010 for Silicon Valley and now runs LedgerX, an options exchange that he founded with his wife and two others.

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(Bloomberg) -- The man dubbed the world’s top quant has a message for Wall Street firms lavishing millions on machine-learning programs: Most of you are doing it wrong.

Robots could save active money managers from doom but the technology is struggling to live up to the disruptive promise, according to Marcos Lopez de Prado.

The Spaniard spent years at the storied names of smart-money finance in his bid to shake up investing with self-learning robots. Now he’s travelling across quantland to deliver a reality check -- selling his algorithms and expertise to all comers after an unexpected split from AQR Capital Management LLC this summer.

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This means Wall Street should probably be pretty worried about a robot takeover, warned the World Economic Forum in a report released last week. “Intelligent machines will replace largely human activities today.” In other words: Wall Street , the machines are coming for you.

Oct.18 -- Automation has been replacing manufacturing jobs for decades, but white collar finance workers have so far largely been spared. That' s no longer the case for Wall Street workers, as machine learning AI is now cheap enough to begin rolling out in real world situations, (Video by Henry Baker).

“There is tremendous hype and very few people have a track record,” Lopez de Prado said in a phone interview. “It’s not helpful.”

He should know. The machine-learning pioneer stands out in a field flooded with self-styled visionaries. He wrote the book on applying the technology to finance -- literally -- and has boasted senior roles at both Guggenheim Partners and Citadel.

Last year AQR, the $185 billion giant of factor investing, tapped Lopez de Prado as its first-ever head of machine learning. The match-up didn’t last; his departure was announced after less than a year at the firm. He speaks highly of AQR and calls the split amicable.

“My ambition has always been to help modernize finance and offer disruptive solutions to investors,” he said. “The best way to do it is with my own set-up.”

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Wall Street is entering a new era. The fraternity of bond jockeys, derivatives mavens and stock pickers who've long personified the industry are giving Now , firms are rolling out machine-learning software to suggest bets, set prices and craft hedges. The tools will relieve staff of routine tasks and offer an

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With proceeds from selling patents to AQR, the Cornell University professor based in New York now plans to hire a team of about 20 and to bring in outside experts depending on each mandate. The firm has already signed up new clients, including a sovereign fund and several hedge funds, Lopez de Prado said.

AI hedge funds have lagged peers in recent years© Bloomberg AI hedge funds have lagged peers in recent years

Self-taught algorithms are touted as the next frontier of the nerd revolution, with the potential to scan a broad set of data to divine the links between market forces and security prices. This month alone Lynx Asset Management started a new $140 million automated strategy, joining the likes of Man Group Plc, Renaissance Technologies and Two Sigma in using robots designed to improve over time without explicit human intervention.

The problem is, computer-powered strategies are struggling to live up to the hype, with a Eurekahedge index of AI hedge funds lagging peers in recent years. That spells opportunity for the likes of Lopez de Prado with his outfit True Positive Technologies -- a dig at the erroneous conclusions derived from data that are rampant among quants, or false positives.

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Aaron Brown is risk manager at AQR Capital Management and author of The Poker Face of Wall Street . In his 27 year Wall Street career, he was worked as a

He is now running one of the fastest-growing asset managers on Earth by popularizing what has become the latest investing craze. How much of AQR ’ s evolution has been by design is debated on Wall Street . Generally a media-friendly guy, Asness declined to comment for this article.

His diagnosis: Fund managers are routinely throwing data at a robot without forming a theory. If a backtest suggests investors should snap up stocks on a given day of every month and sell them a number of days later, only a joined-up rationale for the trade will work in live markets.

In the other extreme, economist-led quants have a penchant to use machines in order to confirm pre-existing ideas, he reckons. One way to fix all this is to use the technology to develop core propositions -- the scientific way. “Without this theory-ML interplay, investors are placing their trust on either toy models or high-tech horoscopes,” Lopez de Prado wrote in a recent paper.

a screenshot of a cell phone: Robot Future© Bloomberg Robot Future

Hailing from Galicia, an autonomous region in northwest Spain, Lopez de Prado earned two doctorate degrees from the Universidad Complutense de Madrid, before research gigs at Harvard University and Cornell.

With two decades of experience channeling the power of machine-learning at the intersection of math and finance, he’s now the go-to guy in this corner of the systematic world. The Journal of Portfolio Management rates him Quant of the Year for 2019. He’s the best-read economics author on research network SSRN.

Annual Investments in Robots Rose to World Record $16.5 Billion

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He was forced to fend off rumors that the firm he founded 10 years earlier was near collapse, and to explain AQR exemplifies the change, illustrating its diminished goals but also the firm' s ability to remake itself in a more challenging landscape. "But now the average fee is going to come way down.

Read More: Robots That Learn Are the Hottest Weapon in the Investing Arms Race

Lopez de Prado paints a picture of an AI-powered future unfriendly to the self-starting stock picker. One day, each employee of a fund will be in charge of one part of a research process akin to assembly lines in a so-called strategy factory, according to the former Berkeley Lab researcher.

“It’s not natural in finance, right? The history of finance has been that discretionary portfolio managers used to run the place,” he said. “And these firms fitted quants as if they were discretionary PMs.”

Machine learning remains an expensive and fledgling investment yet to deliver the kind of gains Lopez de Prado dreams of. But in this view, it’s the natural evolution for an industry ever-more reliant on computers and less on human instinct.

His is also an ethical mission: Smart programs, if deployed judiciously, could one day save Mom and Pop from allocating to flagging strategies, spurred on by pseudo-science and self-interested financiers.

“Eventually finance should be something relatively boring, just like going to the doctor. You go to the doctor, and there’s a protocol for addressing a problem,” he said. “That is my hope: eventually we make finance more scientific and as a result it becomes less of a casino and more of a utility.”

To contact the reporter on this story: Justina Lee in London at [email protected]

To contact the editors responsible for this story: Samuel Potter at [email protected], Sid Verma

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©2019 Bloomberg L.P.

MIT and Ford help delivery robots navigate to your doorstep .
In order for delivery robots to drop your takeout, package or meal-kit at the door, they'll need to be able to find the door. In most cases, that requires mapping a location in advance so that the robot knows where to go. But to do that on a large scale is challenging and raises security and privacy concerns. Now, a team of engineers from MIT and Ford Motor Company think they might have an answer. They've created a technique that allows robots to navigate via clues, rather than maps.The clues can be described in general terms, like "front door" or "garage.

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