Nerds on Wall Street: Math, Machines and Wired Markets
Language: English
Published by Wiley, 2009
- Hardcover
- Used

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- Title
- Nerds on Wall Street: Math, Machines and Wired Markets
- Author
- Leinweber, David J.
- Publisher
- Wiley
- Publication year
- 2009
- Condition
- good
- Binding
- Hardcover
- Language
- English
- ISBN 10
- 0471369462
- ISBN 13
- 9780471369462
Nerds on Wall Street tells the tale of the ongoing technological transformation of the world's financial markets. The impact of technology on investing is profound, and author David Leinweber provides readers with an overview of where we were just a few short years ago, and where we are going. Being a successful investor today and tomorrow--individual or institutional--involves more than stock picking, asset allocation, or market timing: it involves technology. And Leinweber helps readers go beyond the numbers to see exactly how this technology has become more responsible for managing modern markets. In essence, the financial game has changed and will continue to change due entirely to technology. The new "players," human or otherwise, offer investors opportunities and dangers. With this intriguing and entertaining book, Leinweber shows where technology on Wall Street has been, what it has meant, and how it will impact the markets of tomorrow.
"Synopsis" may belong to another edition of this title.
About the Author
DAVID LEINWEBER is a Haas Fellow in Finance at the Haas School of Business at UC Berkeley, and founding Director of the Center for Innovative Financial Technology at Berkeley. He is the founder of two pioneering financial technology firms and successfully managed multibillion-dollar institutional portfolios for many years. Dr. Leinweber has consulted, published, and lectured widely on the use of advanced technology, artificial intelligence, and intelligence amplification in financealways in an easy and accessible wayand has earned the reputation as "class clown of the quantitative investing industry." He received BS degrees in physics and electrical engineering from the Massachusetts Institute of Technology and a PhD in applied mathematics from Harvard University.
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