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The Quants
- How a New Breed of Math Whizzes Conquered Wall Street and Nearly Destroyed It
- Lu par : Mike Chamberlain
- Durée : 6 h et 27 min
- Catégories : Biographies et mémoires

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The incredible true story of the card-counting mathematics professor who taught the world how to beat the dealer and, as the first of the great quantitative investors, ushered in a revolution on Wall Street.
Description
In March 2006 the world's richest men sipped champagne in an opulent New York hotel. They were preparing to compete in a poker tournament - with million-dollar stakes. At the card table that night was Peter Muller, who managed a fabulously successful hedge fund called PDT. With him was Ken Griffin, who was the tough-as-nails head of Citadel Investment Group. There, too, were Cliff Asness, the sharp-tongued, mercurial founder of the hedge fund AQR Capital Management, and Boaz Weinstein, chess "life master" and king of the credit-default swap.
Muller, Griffin, Asness, and Weinstein were among the best and brightest of a new breed, the quants. Over the past 20 years, this species of math whiz had usurped the testosterone-fueled, kill-or-be-killed risk takers who'd long been the alpha males of the world's largest casino. The quants believed that a cocktail of differential calculus, quantum physics, and advanced geometry held the key to reaping riches from the financial markets. And they helped create a digitized money-trading machine that could shift billions around the globe with the click of a mouse.
Few realized that night, though, that in creating this extraordinary system, men like Muller, Griffin, Asness, and Weinstein had sown the seeds for history's greatest financial disaster.
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Global
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Interprétation
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Histoire

- Amazon Customer
- 26/03/2018
great listen. I
great topic. history. the order of the chapters by the big players was great for an audiobook.
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Global
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Interprétation
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Histoire

- Jordan McBain
- 08/02/2018
interesting historical account
provides an interesting description of the major players and the history of quantitative finance. however it is very light on mathematical insight.
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