The Minds Behind the Meltdown
How a swashbuckling breed of mathematicians and computer scientists nearly destroyed Wall Street
By SCOTT PATTERSON
On Thursday, President Barack Obama proposed new rules to curb a number of Wall Street's risky—and highly profitable—trading activities. One target: The secretive trading operations within banks that use large doses of leverage, or borrowed money, to make huge bets on the market. Wall Street says the regulations are unnecessary, and since the financial crisis struck, most banks have cut back on these trading outfits. But when the downturn first hit in the summer of 2007, several of them were among the first to suffer, and collectively they lost billions over a matter of days.
On Thursday, President Barack Obama proposed new rules to curb a number of Wall Street's risky—and highly profitable—trading activities. One target: The secretive trading operations within banks that use large doses of leverage, or borrowed money, to make huge bets on the market. Wall Street says the regulations are unnecessary, and since the financial crisis struck, most banks have cut back on these trading outfits. But when the downturn first hit in the summer of 2007, several of them were among the first to suffer, and collectively they lost billions over a matter of days.
In his new book, "The Quants," Wall Street Journal reporter Scott Patterson suggests how this new breed of mathematicians and computer scientists took over much of the financial system—and the damage they inflicted in the 2007 meltdown.
At Morgan Stanley's investing powerhouse Process Driven Trading on Monday, Aug. 6, founder Peter Muller was AWOL, visiting a friend near Boston. Mike Reed and Amy Wong manned the helm, PDT veterans from the days when the group was nothing more than a thought experiment, its traders a small band of young math whizzes tinkering with computers like brainy teenagers in a cluttered garage.
On Wall Street, they were all known as "quants," traders and financial engineers who used brain-twisting math and superpowered computers to pluck billions in fleeting dollars out of the market. Instead of looking at individual companies and their performance, management and competitors, they use math formulas to make bets on which stocks were going up or down. By the early 2000s, such tech-savvy investors had come to dominate Wall Street, helped by theoretical breakthroughs in the application of mathematics to financial markets, advances that had earned their discoverers several shelves of Nobel Prizes.
PDT, one of the most secretive quant funds around, was now a global powerhouse, with offices in London and Tokyo and about $6 billion in assets (the amount could change daily depending on how much money Morgan funneled its way). It was a well-oiled machine that did little but print money, day after day.
That week, however, PDT wouldn't print money—it would destroy it like an industrial shredder.
The unusual behavior of stocks that PDT tracked had begun sometime in mid-July and had gotten worse in the first days of August. The previous Friday, about half a dozen of the biggest gainers on the Nasdaq were stocks that PDT had sold short, expecting them to decline, and several of the biggest losers were stocks PDT had bought, expecting them to rise. It was Bizarro World for quants. Up was down, down was up. The models were operating in reverse.
The market moves PDT and other quant funds started to see early that week defied logic. The fine-tuned models, the bell curves and random walks, the calibrated correlations—all the math and science that had propelled the quants to the pinnacle of Wall Street—couldn't capture what was happening.
At the time, few quants realized what was happening, but over the next few days a theory would emerge: The U.S. housing market was unraveling, leading to big losses in the mortgage portfolios of banks and hedge funds. One or more of those hedge funds needed to raise cash quickly to make up for the losses, and needed to sell assets quickly to do so. And the easiest-to-sell assets of all were stocks, those held in portfolios highly similar to quant funds across Wall Street.
At Morgan Stanley's investing powerhouse Process Driven Trading on Monday, Aug. 6, founder Peter Muller was AWOL, visiting a friend near Boston. Mike Reed and Amy Wong manned the helm, PDT veterans from the days when the group was nothing more than a thought experiment, its traders a small band of young math whizzes tinkering with computers like brainy teenagers in a cluttered garage.
On Wall Street, they were all known as "quants," traders and financial engineers who used brain-twisting math and superpowered computers to pluck billions in fleeting dollars out of the market. Instead of looking at individual companies and their performance, management and competitors, they use math formulas to make bets on which stocks were going up or down. By the early 2000s, such tech-savvy investors had come to dominate Wall Street, helped by theoretical breakthroughs in the application of mathematics to financial markets, advances that had earned their discoverers several shelves of Nobel Prizes.
PDT, one of the most secretive quant funds around, was now a global powerhouse, with offices in London and Tokyo and about $6 billion in assets (the amount could change daily depending on how much money Morgan funneled its way). It was a well-oiled machine that did little but print money, day after day.
That week, however, PDT wouldn't print money—it would destroy it like an industrial shredder.
The unusual behavior of stocks that PDT tracked had begun sometime in mid-July and had gotten worse in the first days of August. The previous Friday, about half a dozen of the biggest gainers on the Nasdaq were stocks that PDT had sold short, expecting them to decline, and several of the biggest losers were stocks PDT had bought, expecting them to rise. It was Bizarro World for quants. Up was down, down was up. The models were operating in reverse.
The market moves PDT and other quant funds started to see early that week defied logic. The fine-tuned models, the bell curves and random walks, the calibrated correlations—all the math and science that had propelled the quants to the pinnacle of Wall Street—couldn't capture what was happening.
At the time, few quants realized what was happening, but over the next few days a theory would emerge: The U.S. housing market was unraveling, leading to big losses in the mortgage portfolios of banks and hedge funds. One or more of those hedge funds needed to raise cash quickly to make up for the losses, and needed to sell assets quickly to do so. And the easiest-to-sell assets of all were stocks, those held in portfolios highly similar to quant funds across Wall Street.
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