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The Man Who Solved the Market

The Man Who Solved the Market PDF Author: Gregory Zuckerman
Publisher: Penguin
ISBN: 0735217998
Category : Business & Economics
Languages : en
Pages : 401

Book Description
NEW YORK TIMES BESTSELLER Shortlisted for the Financial Times/McKinsey Business Book of the Year Award The unbelievable story of a secretive mathematician who pioneered the era of the algorithm--and made $23 billion doing it. Jim Simons is the greatest money maker in modern financial history. No other investor--Warren Buffett, Peter Lynch, Ray Dalio, Steve Cohen, or George Soros--can touch his record. Since 1988, Renaissance's signature Medallion fund has generated average annual returns of 66 percent. The firm has earned profits of more than $100 billion; Simons is worth twenty-three billion dollars. Drawing on unprecedented access to Simons and dozens of current and former employees, Zuckerman, a veteran Wall Street Journal investigative reporter, tells the gripping story of how a world-class mathematician and former code breaker mastered the market. Simons pioneered a data-driven, algorithmic approach that's sweeping the world. As Renaissance became a market force, its executives began influencing the world beyond finance. Simons became a major figure in scientific research, education, and liberal politics. Senior executive Robert Mercer is more responsible than anyone else for the Trump presidency, placing Steve Bannon in the campaign and funding Trump's victorious 2016 effort. Mercer also impacted the campaign behind Brexit. The Man Who Solved the Market is a portrait of a modern-day Midas who remade markets in his own image, but failed to anticipate how his success would impact his firm and his country. It's also a story of what Simons's revolution means for the rest of us.

The Man Who Solved the Market

The Man Who Solved the Market PDF Author: Gregory Zuckerman
Publisher: Penguin
ISBN: 0735217998
Category : Business & Economics
Languages : en
Pages : 401

Book Description
NEW YORK TIMES BESTSELLER Shortlisted for the Financial Times/McKinsey Business Book of the Year Award The unbelievable story of a secretive mathematician who pioneered the era of the algorithm--and made $23 billion doing it. Jim Simons is the greatest money maker in modern financial history. No other investor--Warren Buffett, Peter Lynch, Ray Dalio, Steve Cohen, or George Soros--can touch his record. Since 1988, Renaissance's signature Medallion fund has generated average annual returns of 66 percent. The firm has earned profits of more than $100 billion; Simons is worth twenty-three billion dollars. Drawing on unprecedented access to Simons and dozens of current and former employees, Zuckerman, a veteran Wall Street Journal investigative reporter, tells the gripping story of how a world-class mathematician and former code breaker mastered the market. Simons pioneered a data-driven, algorithmic approach that's sweeping the world. As Renaissance became a market force, its executives began influencing the world beyond finance. Simons became a major figure in scientific research, education, and liberal politics. Senior executive Robert Mercer is more responsible than anyone else for the Trump presidency, placing Steve Bannon in the campaign and funding Trump's victorious 2016 effort. Mercer also impacted the campaign behind Brexit. The Man Who Solved the Market is a portrait of a modern-day Midas who remade markets in his own image, but failed to anticipate how his success would impact his firm and his country. It's also a story of what Simons's revolution means for the rest of us.

The Man Who Solved the Market

The Man Who Solved the Market PDF Author: Gregory Zuckerman
Publisher: National Geographic Books
ISBN: 073521798X
Category : Business & Economics
Languages : en
Pages : 0

Book Description
NEW YORK TIMES BESTSELLER Shortlisted for the Financial Times/McKinsey Business Book of the Year Award The unbelievable story of a secretive mathematician who pioneered the era of the algorithm--and made $23 billion doing it. Jim Simons is the greatest money maker in modern financial history. No other investor--Warren Buffett, Peter Lynch, Ray Dalio, Steve Cohen, or George Soros--can touch his record. Since 1988, Renaissance's signature Medallion fund has generated average annual returns of 66 percent. The firm has earned profits of more than $100 billion; Simons is worth twenty-three billion dollars. Drawing on unprecedented access to Simons and dozens of current and former employees, Zuckerman, a veteran Wall Street Journal investigative reporter, tells the gripping story of how a world-class mathematician and former code breaker mastered the market. Simons pioneered a data-driven, algorithmic approach that's sweeping the world. As Renaissance became a market force, its executives began influencing the world beyond finance. Simons became a major figure in scientific research, education, and liberal politics. Senior executive Robert Mercer is more responsible than anyone else for the Trump presidency, placing Steve Bannon in the campaign and funding Trump's victorious 2016 effort. Mercer also impacted the campaign behind Brexit. The Man Who Solved the Market is a portrait of a modern-day Midas who remade markets in his own image, but failed to anticipate how his success would impact his firm and his country. It's also a story of what Simons's revolution means for the rest of us.

A Man for All Markets

A Man for All Markets PDF Author: Edward O. Thorp
Publisher:
ISBN: 9781786071972
Category :
Languages : en
Pages : 432

Book Description


The Frackers

The Frackers PDF Author: Gregory Zuckerman
Publisher: Portfolio
ISBN: 9780670923670
Category : Hydraulic fracturing
Languages : en
Pages : 404

Book Description
Meet the Frackers. George Mitchell, the son of a Greek goatherder, who tried to extract gas from rock that experts deemed worthless. He faced an unexpected obstacle in his quest to change history. Aubrey McClendon, the charismatic descendant of an Oklahoma energy dynasty, who scored bil­lions leading a land grab. He wasn't prepared for the shocking fallout of his discoveries. Tom Ward, who overcame a troubled childhood to become one of the nation's wealthiest men. He could handle natural-gas fields but had more trouble with a Wall Street power broker. Harold Hamm, the son of poor farmer, who believed America had more oil than anyone imagined. Hamm was determined to find the crude before others caught on. Charif Souki, the dashing Lebanese immigrant who saw his career crumble and his fortune disintegrate, leaving one last, unlikely chance for success. Mark Papa, the Enron castoff who panicked when he realized a resurgence of American natural gas was at hand: one that his company wasn't prepared for. Praise for The Greatest Trade Ever 'Simply terrific. Easily the best of the post-crash financial books.' Malcolm Gladwell 'The definitive account of a strange and wonderful subplot of the financial crisis.' Michael Lewis 'Zuckerman is a first-rate reporter who is able to explain the complexities of finance in layman's terms. At times, The Greatest Trade Ever reads like a thriller.' The New York Times

The Greatest Trade Ever

The Greatest Trade Ever PDF Author: Gregory Zuckerman
Publisher: Crown Currency
ISBN: 0385529937
Category : Business & Economics
Languages : en
Pages : 306

Book Description
In 2006, hedge fund manager John Paulson realized something few others suspected--that the housing market and the value of subprime mortgages were grossly inflated and headed for a major fall. Paulson's background was in mergers and acquisitions, however, and he knew little about real estate or how to wager against housing. He had spent a career as an also-ran on Wall Street. But Paulson was convinced this was his chance to make his mark. He just wasn't sure how to do it. Colleagues at investment banks scoffed at him and investors dismissed him. Even pros skeptical about housing shied away from the complicated derivative investments that Paulson was just learning about. But Paulson and a handful of renegade investors such as Jeffrey Greene and Michael Burry began to bet heavily against risky mortgages and precarious financial companies. Timing is everything, though. Initially, Paulson and the others lost tens of millions of dollars as real estate and stocks continued to soar. Rather than back down, however, Paulson redoubled his bets, putting his hedge fund and his reputation on the line. In the summer of 2007, the markets began to implode, bringing Paulson early profits, but also sparking efforts to rescue real estate and derail him. By year's end, though, John Paulson had pulled off the greatest trade in financial history, earning more than $15 billion for his firm--a figure that dwarfed George Soros's billion-dollar currency trade in 1992. Paulson made billions more in 2008 by transforming his gutsy move. Some of the underdog investors who attempted the daring trade also reaped fortunes. But others who got the timing wrong met devastating failure, discovering that being early and right wasn't nearly enough. Written by the prizewinning reporter who broke the story in The Wall Street Journal, The Greatest Trade Ever is a superbly written, fast-paced, behind-the-scenes narrative of how a contrarian foresaw an escalating financial crisis--that outwitted Chuck Prince, Stanley O'Neal, Richard Fuld, and Wall Street's titans--to make financial history.

Fortune's Formula

Fortune's Formula PDF Author: William Poundstone
Publisher: Hill and Wang
ISBN: 0374707081
Category : Business & Economics
Languages : en
Pages : 399

Book Description
In 1956, two Bell Labs scientists discovered the scientific formula for getting rich. One was mathematician Claude Shannon, neurotic father of our digital age, whose genius is ranked with Einstein's. The other was John L. Kelly Jr., a Texas-born, gun-toting physicist. Together they applied the science of information theory—the basis of computers and the Internet—to the problem of making as much money as possible, as fast as possible. Shannon and MIT mathematician Edward O. Thorp took the "Kelly formula" to Las Vegas. It worked. They realized that there was even more money to be made in the stock market. Thorp used the Kelly system with his phenomenally successful hedge fund, Princeton-Newport Partners. Shannon became a successful investor, too, topping even Warren Buffett's rate of return. Fortune's Formula traces how the Kelly formula sparked controversy even as it made fortunes at racetracks, casinos, and trading desks. It reveals the dark side of this alluring scheme, which is founded on exploiting an insider's edge. Shannon believed it was possible for a smart investor to beat the market—and William Poundstone's Fortune's Formula will convince you that he was right.

When Genius Failed

When Genius Failed PDF Author: Roger Lowenstein
Publisher: Random House Trade Paperbacks
ISBN: 0375758259
Category : Business & Economics
Languages : en
Pages : 290

Book Description
“A riveting account that reaches beyond the market landscape to say something universal about risk and triumph, about hubris and failure.”—The New York Times NAMED ONE OF THE BEST BOOKS OF THE YEAR BY BUSINESSWEEK In this business classic—now with a new Afterword in which the author draws parallels to the recent financial crisis—Roger Lowenstein captures the gripping roller-coaster ride of Long-Term Capital Management. Drawing on confidential internal memos and interviews with dozens of key players, Lowenstein explains not just how the fund made and lost its money but also how the personalities of Long-Term’s partners, the arrogance of their mathematical certainties, and the culture of Wall Street itself contributed to both their rise and their fall. When it was founded in 1993, Long-Term was hailed as the most impressive hedge fund in history. But after four years in which the firm dazzled Wall Street as a $100 billion moneymaking juggernaut, it suddenly suffered catastrophic losses that jeopardized not only the biggest banks on Wall Street but the stability of the financial system itself. The dramatic story of Long-Term’s fall is now a chilling harbinger of the crisis that would strike all of Wall Street, from Lehman Brothers to AIG, a decade later. In his new Afterword, Lowenstein shows that LTCM’s implosion should be seen not as a one-off drama but as a template for market meltdowns in an age of instability—and as a wake-up call that Wall Street and government alike tragically ignored. Praise for When Genius Failed “[Roger] Lowenstein has written a squalid and fascinating tale of world-class greed and, above all, hubris.”—BusinessWeek “Compelling . . . The fund was long cloaked in secrecy, making the story of its rise . . . and its ultimate destruction that much more fascinating.”—The Washington Post “Story-telling journalism at its best.”—The Economist

The Guru Investor

The Guru Investor PDF Author: John P. Reese
Publisher: John Wiley & Sons
ISBN: 0470446773
Category : Business & Economics
Languages : en
Pages : 336

Book Description
Today's investor is faced with a myriad of investment options and strategies. Whether you are seeking someone to manage your money or are a self-directed investor deciding to tackle the market on your own, the options can be overwhelming. In an easy-to-read and simple format, this book will dissect the strategies of some of Wall Street's most successful investment gurus and teach readers how to weed through the all of the choices to find a strategy that works for them. The model portfolio system that author John Reese developed turns each strategy into an actionable system, addressing many of the common mistakes that doom individual investors to market underperformance. This book will focus on the principles behind the author's multi-guru approach, showing how investors can combine the proven strategies of these legendary "gurus" into a disciplined investing system that has significantly outperformed the market. Gurus covered in the book are: Benjamin Graham; John Neff; David Dreman; Warren Buffett; Peter Lynch; Ken Fisher; Martin Zweig; James O'Shaughnessy; Joel Greenblatt; and Joseph Piotroski.

Statistical Analysis of Financial Data in R

Statistical Analysis of Financial Data in R PDF Author: René Carmona
Publisher: Springer Science & Business Media
ISBN: 1461487889
Category : Business & Economics
Languages : en
Pages : 595

Book Description
Although there are many books on mathematical finance, few deal with the statistical aspects of modern data analysis as applied to financial problems. This textbook fills this gap by addressing some of the most challenging issues facing financial engineers. It shows how sophisticated mathematics and modern statistical techniques can be used in the solutions of concrete financial problems. Concerns of risk management are addressed by the study of extreme values, the fitting of distributions with heavy tails, the computation of values at risk (VaR), and other measures of risk. Principal component analysis (PCA), smoothing, and regression techniques are applied to the construction of yield and forward curves. Time series analysis is applied to the study of temperature options and nonparametric estimation. Nonlinear filtering is applied to Monte Carlo simulations, option pricing and earnings prediction. This textbook is intended for undergraduate students majoring in financial engineering, or graduate students in a Master in finance or MBA program. It is sprinkled with practical examples using market data, and each chapter ends with exercises. Practical examples are solved in the R computing environment. They illustrate problems occurring in the commodity, energy and weather markets, as well as the fixed income, equity and credit markets. The examples, experiments and problem sets are based on the library Rsafd developed for the purpose of the text. The book should help quantitative analysts learn and implement advanced statistical concepts. Also, it will be valuable for researchers wishing to gain experience with financial data, implement and test mathematical theories, and address practical issues that are often ignored or underestimated in academic curricula. This is the new, fully-revised edition to the book Statistical Analysis of Financial Data in S-Plus. René Carmona is the Paul M. Wythes '55 Professor of Engineering and Finance at Princeton University in the department of Operations Research and Financial Engineering, and Director of Graduate Studies of the Bendheim Center for Finance. His publications include over one hundred articles and eight books in probability and statistics. He was elected Fellow of the Institute of Mathematical Statistics in 1984, and of the Society for Industrial and Applied Mathematics in 2010. He is on the editorial board of several peer-reviewed journals and book series. Professor Carmona has developed computer programs for teaching statistics and research in signal analysis and financial engineering. He has worked for many years on energy, the commodity markets and more recently in environmental economics, and he is recognized as a leading researcher and expert in these areas.

Jim Simons's Medallion Hedge Fund and Renaissance Technologies Testifies Before the House Oversight Committee.

Jim Simons's Medallion Hedge Fund and Renaissance Technologies Testifies Before the House Oversight Committee. PDF Author: James Simons
Publisher:
ISBN: 9784082519704
Category : Business & Economics
Languages : en
Pages : 24

Book Description
James Simons, Medallion Hedge Fund and Renaissance Technologies, president testifies about the risks that hedge funds pose in the financial markets, before the House Oversight Committee, and HEARING BEFORE THE SENATE PERMANENT SUBCOMMITTEE ON INVESTIGATIONS by Jonathan Mayers, Counsel on Behalf of Renaissance Technologies LLC... The most successful hedge fund in history describe their business model as a positive expected value game. The model developed by Renaissance for Medallion and Medallion with barrier options makes predictions that are profitable only slightly more often than not. Moreover, the predicted price movements can be easily overwhelmed by external events. To compensate for these factors, the model generates a large number of recommendations, so that by virtue of the mathematical principle known as the law of large numbers, the variability of the returns produced by the model is greatly reduced.