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March 29, 1900, is considered by many to be the day mathematical finance was born. On that day a French doctoral student, Louis Bachelier, successfully defended his thesis Théorie de la Spéculation at the Sorbonne. The jury, while noting that the topic was "far away from those usually considered by our candidates," appreciated its high degree of originality. This book provides a new translation, with commentary and background, of Bachelier's seminal work. Bachelier's thesis is a remarkable document on two counts. In mathematical terms Bachelier's achievement was to introduce many of the concepts of what is now known as stochastic analysis. His purpose, however, was to give a theory for the valuation of financial options. He came up with a formula that is both correct on its own terms and surprisingly close to the Nobel Prize-winning solution to the option pricing problem by Fischer Black, Myron Scholes, and Robert Merton in 1973, the first decisive advance since 1900. Aside from providing an accurate and accessible translation, this book traces the twin-track intellectual history of stochastic analysis and financial economics, starting with Bachelier in 1900 and ending in the 1980s when the theory of option pricing was substantially complete. The story is a curious one. The economic side of Bachelier's work was ignored until its rediscovery by financial economists more than fifty years later. The results were spectacular: within twenty-five years the whole theory was worked out, and a multibillion-dollar global industry of option trading had emerged.
The Bachelier Society for Mathematical Finance held its first World Congress in Paris last year, and coincided with the centenary of Louis Bacheliers thesis defence. In his thesis Bachelier introduces Brownian motion as a tool for the analysis of financial markets as well as the exact definition of options. The thesis is viewed by many the key event that marked the emergence of mathematical finance as a scientific discipline. The prestigious list of plenary speakers in Paris included two Nobel laureates, Paul Samuelson and Robert Merton, and the mathematicians Henry McKean and S.R.S. Varadhan. Over 130 further selected talks were given in three parallel sessions. .
Describes the lives, theories, and legacies of six great minds in finance who changed the way we look at financial markets and equilibrium. Bachelier, Samuelson, Fama, Ross, Tobin, and Shiller; proponents and critics of the market efficiency theories who redefined modern finance, creating the foundation on which all financial analysis rests.
A look inside the world of “quants” and how science can (and can’t) predict financial markets: “Entertaining and enlightening” (The New York Times). After the economic meltdown of 2008, Warren Buffett famously warned, “beware of geeks bearing formulas.” But 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. Taking us from fin-de-siècle Paris to Rat Pack–era Las Vegas, from wartime government labs to Yippie communes on the Pacific coast, James Owen Weatherall shows how physicists successfully brought their science to bear on some of the thorniest problems in economics, from options pricing to bubbles. The 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. This book reveals the people and ideas on the cusp of a new era in finance, from a geophysicist using a model designed for earthquakes to predict a massive stock market crash to a physicist-run hedge fund earning 2,478.6% over the course of the 1990s. Weatherall shows how an obscure idea from quantum theory might soon be used to create a far more accurate Consumer Price Index. The Physics of Wall Street will change how we think about our economic future. “Fascinating history . . . Happily, the author has a gift for making complex concepts clear to lay readers.” —Booklist
Describes the lives, theories, and legacies of six great minds in finance who changed the way we look at financial markets and equilibrium. Bachelier, Samuelson, Fama, Ross, Tobin, and Shiller; proponents and critics of the market efficiency theories who redefined modern finance, creating the foundation on which all financial analysis rests.
"The underlying notion in this volume is to spotlight, critically assess, and illuminate Paul A. Samuelson's extraordinarily voluminous, diverse, and groundbreaking contributions that encompass the entire field of economics through the lens of most eminent scholars. All this in honor of his ninetieth birthday celebrated on May 15, 2005 in Fairmont Hotel in Boston in the company of hundreds of scholars and their spouses."--Pref.
Today, the concept of noise is employed to characterize random fluctuations in general. Before the twentieth century, however, noise only meant disturbing sounds. In the 1900s-50s, noise underwent a conceptual transformation from unwanted sounds that needed to be domesticated into a synonym for errors and deviations to be now used as all kinds of signals and information. Transforming Noise examines the historical origin of modern attempts to understand, control, and use noise. Its history sheds light on the interactions between physics, mathematics, mechanical technology, electrical engineering, and information and data sciences in the twentieth century. This book explores the process of engineers and physicists turning noise into an informational concept, starting from the rise of sound reproduction technologies such as the phonograph, telephone, and radio in the 1900s-20s until the theory of Brownian motions for random fluctuations and its application in thermionic tubes of telecommunication systems. These processes produced different theoretical treatments of noise in the 1920s-30s, such as statistical physicists' studies of Brownian fluctuations' temporal evolution, radio engineers' spectral analysis of atmospheric disturbances, and mathematicians' measure-theoretic formulation. Finally, it discusses the period during and after World War II and how researchers have worked on military projects of radar, gunfire control, and secret communications and converted the interwar theoretical studies of noise into tools for statistical detection, estimation, prediction, and information transmission. To physicists, mathematicians, electrical engineers, and computer scientists, this book offers a historical perspective on themes highly relevant in today's science and technology, ranging from Wi-Fi and big data to quantum information and self-organization. This book also appeals to environmental and art historians to modern music scholars as the history of noise constitutes a unique angle to study sound and society. Finally, to researchers in media studies and digital cultures, Transforming Noise demonstrates the deep technoscientific historicity of certain notions - information, channel, noise, equivocation - they have invoked to understand modern media and communication.
A significant part of economics as we know it today is the outcome of battles that took place in the post-war years between Keynesians and monetarists. In the US, the focus of these battles was often between the neo-Keynesians at the Massachusetts Institute of Technology (MIT) and the Chicago monetarists. The undisputed leader of the MIT Keynesians was Paul A. Samuelson, one of the most influential economists of the 20th century and arguably of all time. Samuelson’s output covered a vast number of subjects within economics, the quality of theseoften pioneering contributions unmatched in the modern era. The volume focuses both on how Samuelson’s work has been developed by others and on how that work fits into subsequent developments in the various fields of speciality within which Samuelson operated.
During his early years, Franz Liszt worked as a traveling piano virtuoso, his adventures highlighted by his entrée into the literary world as a correspondent for the most popular French journals of his time. In this second volume of Janita Hall-Swadley’s The Collected Writings of Franz Liszt, Liszt’s work as a music essayist and journalist is on full display. In his essays, readers will see the influence of the revolutionary theories of Hugues-Felicité Robert de Lamennais, Victor Hugo, and François-René de Chateaubriand as Liszt boldly calls for social reforms on behalf of musicians and musical institutions, from demands for a repertoire of church music of divine praise to the timely publication of inexpensive music editions. In addition to Liszt’s scandalous review of Sigismond Thalberg and the fiery exchange that ensued, the essays include his testimonies to living composers Giacomo Meyerbeer and Robert Schumann and the recently deceased Niccolò Paganini. Alongside the essay, this new translation of Liszt’s letters opens a window onto the composer’s immersion in the Italian countryside, where he paints a portrait of a rich musical landscape. Liszt regales his correspondents with amusing anecdotes at Sand’s Italian country estate in Nohant, describes the beautiful landscape and artistic treasures of Italy from his residence on Lake Como, defends himself from Heinrich Heine’s accusations of his “ill-seated” character, discusses the religious aesthetic of Raphael’s painting, and offers his thoughts on the interconnectedness of all the arts. Including two complete facsimile reproductions of the existing manuscripts for “De la situation des artistes” and “Sur Paganini à propos de sa mort,” Essays and Letters of a Traveling Bachelor of Music is a must-read for student and scholars of 19th-century classical music.
Written by leading statisticians and probabilists, this volume consists of 104 biographical articles on eminent contributors to statistical and probabilistic ideas born prior to the 20th Century. Among the statisticians covered are Fermat, Pascal, Huygens, Neumann, Bernoulli, Bayes, Laplace, Legendre, Gauss, Poisson, Pareto, Markov, Bachelier, Borel, and many more.