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By William D. Cohan
Wall Street, meet your post-human future. Uber-"quant" Cliff Asness bets that his high-speed computers and trading models can churn billions of dollars in profits in booms and busts alike. But can artificial intelligence really out-smart the market?
With the winter's second blizzard raging outside, Cliff Asness sat in his relatively modest office in Greenwich, Connecticut, surrounded by three of his partners, his PR guru, an impressive collection of unread books, and a sea of foot-tall hard-plastic replicas of Spiderman, the Incredible Hulk, and friends. "Let me be technical," he said. "It all sucked."
Asness--intense, bald, and bearded, with a $500 million fortune and a doctorate in finance--was reflecting on the dark days of 2008, when capitalism seemed to be imploding, when Bear Stearns and Lehman Brothers had collapsed and the government had hastily arranged bailouts of Merrill Lynch, Morgan Stanley, Goldman Sachs, and AIG, among others.
His own business, Applied Quantitative Research--one of the world's leading quantitative-investment, or "quant," funds--had also suffered painfully. The money his team managed fell to $17.2 billion in March 2009, from a peak of $39.1 billion in September 2007, as clients headed for the exits with what was left of their cash.
http://www.theatlantic.com/business/print/2011/03/man-vs-machine-on-wall-street-how-computers-beat-the-market/73120/
Wall Street, meet your post-human future. Uber-"quant" Cliff Asness bets that his high-speed computers and trading models can churn billions of dollars in profits in booms and busts alike. But can artificial intelligence really out-smart the market?
With the winter's second blizzard raging outside, Cliff Asness sat in his relatively modest office in Greenwich, Connecticut, surrounded by three of his partners, his PR guru, an impressive collection of unread books, and a sea of foot-tall hard-plastic replicas of Spiderman, the Incredible Hulk, and friends. "Let me be technical," he said. "It all sucked."
Asness--intense, bald, and bearded, with a $500 million fortune and a doctorate in finance--was reflecting on the dark days of 2008, when capitalism seemed to be imploding, when Bear Stearns and Lehman Brothers had collapsed and the government had hastily arranged bailouts of Merrill Lynch, Morgan Stanley, Goldman Sachs, and AIG, among others.
His own business, Applied Quantitative Research--one of the world's leading quantitative-investment, or "quant," funds--had also suffered painfully. The money his team managed fell to $17.2 billion in March 2009, from a peak of $39.1 billion in September 2007, as clients headed for the exits with what was left of their cash.
http://www.theatlantic.com/business/print/2011/03/man-vs-machine-on-wall-street-how-computers-beat-the-market/73120/