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The Wrong Answer Faster
The fascinating story behind the machines that trade trillions of dollars every day “A Bildungsroman, one jacket blurb calls this book—and sure, it’s a traditional coming-of-age tale. But the story itself is anything but conventional. The pleasures of the book lie in the story of their bumpy path to success.” Canadian Business In 1968, Michael Goodkin is about to graduate from Columbia University. While his classmates interview for jobs, he daydreams of seeing the world as a man of independent means. Noticing that there are no computers on Wall Street and drawing on his experiences as a failed teenage investor and successful gambler, he has an epiphany: since no one knows the right p...
FinTech For Dummies
Examine the depth and breadth of financial technology This comprehensive, hands-on guide is the go-to source for everything you need to confidently navigate the ever-changing scene of this booming industry. FinTech For Dummies will shed light on this rapidly changing landscape making it an invaluable source of information for anybody working in or interested in this space. This book provides insights, knowledge and guidance from industry experts Steve O’Hanlon and Susanne Chishti on the following: Gaining insight fastest growing market segment of the financial markets Learning the core decision making to effect a growth plan Securing knowledge of the fastest growing fintech companies in the world Navigating the fintech world The ingredients into building a FinTech company
Modeling Maximum Trading Profits with C++
"Mr. Salov has taken one of my favorite creations – Perfect Profit – and provided an expanded description of his interpretation of it and put it in your hands with the included software. Like I said fifteen years ago, Perfect Profit is an important tool for the trading system developer. See for yourself." —Robert Pardo, President, Pardo Capital Limited "A very in-depth reference for programmers that should serve well into the future. The code herein lends itself well to other syntactically similar programming languages such as Java, PHP, and C#." —Ralph Vince The goal of trading is to make money, and for many, profits are the best way to measure that success. Author Valerii Salov kno...
Models. Behaving. Badly.
Emanuel Derman was a quantitative analyst (Quant) at Goldman Sachs, one of the financial engineers whose mathematical models became crucial for Wall Street. The reliance investors put on such quantitative analysis was catastrophic for the economy, setting off the ongoing string of financial crises that began with the mortgage market in 2007 and continues through today. Here Derman looks at why people -- bankers in particular -- still put so much faith in these models, and why it's a terrible mistake to do so. Though financial models imitate the style of physics and employ the language of mathematics, ultimately they deal with human beings. There is a fundamental difference between the aims a...
A Recent History of Recognized Economic Thought: Contributions of the Nobel Laureates to Economic Science
Since 1969, 75 people have been awarded the Nobel Prize in Economics. Recent Recognized "A History of Economic Thought - Contributions of the Nobel Laureates to Economic Science" describes their major accomplishments in a manner so all readers, regardless of their knowledge of economics, can appreciate the efforts of these scholars and their impact on the development and progress of economic science. Begin with a brief tour of economic thought and the factors that have influenced economic doctrine from the 16th through the 20th century. Then, for each Nobel Laureate, learn about their background and professional affiliations. Complete your understanding of each Laureate's accomplishments with a concise, relatively non-technical summary of their Nobel Prize Lecture.
My Life as a Quant
In My Life as a Quant, Emanuel Derman relives his exciting journey as one of the first high-energy particle physicists to migrate to Wall Street. Page by page, Derman details his adventures in this field—analyzing the incompatible personas of traders and quants, and discussing the dissimilar nature of knowledge in physics and finance. Throughout this tale, he also reflects on the appropriate way to apply the refined methods of physics to the hurly-burly world of markets.
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