Billerica Public Library

The physics of Wall Street, a brief history of predicting the unpredictable, James Owen Weatherall

Label
The physics of Wall Street, a brief history of predicting the unpredictable, James Owen Weatherall
Language
eng
Bibliography note
Includes bibliographical references (p. [250]-268) and index
Index
index present
Literary Form
non fiction
Main title
The physics of Wall Street
Nature of contents
bibliography
Oclc number
772099444
Responsibility statement
James Owen Weatherall
Sub title
a brief history of predicting the unpredictable
Summary
While many of the mathematicians and software engineers on Wall Street failed when their abstractions turned ugly in practice, a special breed of physicists has a much deeper history of revolutionizing finance. From fin-de-siècle Paris to Rat Pack-era Las Vegas, from wartime government labs to Yippie communes on the Pacific coast, Weatherall shows how physicists successfully brought their science to bear on some of the thorniest problems in economics, from options pricing to bubbles. The 2008 crisis was partly a failure of mathematical modeling, but even more, it was a failure of some very sophisticated financial institutions to think like physicists. Models--whether in science or finance--have limitations; they break down under certain conditions. And in 2008, sophisticated models fell into the hands of people who didn't understand their purpose, and didn't care. It was a catastrophic misuse of science. The solution, however, is not to give up on models; it's to make them better. Weatherall reveals the people and ideas on the cusp of a new era in finance. This book is riveting history that will change how we think about our economic future.--From publisher description
Table Of Contents
Of quants and other demons -- Primordial seeds -- Swimming upstream -- From coastlines to cotton prices -- Beating the dealer -- Physics hits the street -- The prediction company -- Tyranny of the Dragon King -- A new Manhattan project -- Send physics, math, and money!
Classification
Content
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