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An Engine, Not a Camera: How Financial Models Shape Markets (Inside Technology) Hardcover – April 14, 2006
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An Engine, Not a Camera provides an insightful appreciation of the ways in which financial models influence and shape the world they seek to understand.(Anthony Hopwood Times Higher Education Supplement)
In one lifetime modern finance theory has revolutionized the arts of canny investing. MacKenzie knows this exciting story, and he tells it well.(Paul A. Samuelson, MIT, Nobel Laureate in Economic Sciences)
Donald MacKenzie has long been one of the world's most brilliant social and historical analysts of science and technology. Here he provides an original, astute, and exhaustively researched account of the development of finance theory and the ways in which it is intertwined with financial markets. An Engine, Not a Camera is essential for anyone interested in markets and the forms of knowledge deployed in them.(Karin Knorr Cetina, University of Konstanz and The University of Chicago)
A brilliant, extremely lucid account of the connections between financial economics and the development of futures, options, and derivatives markets between the 1950s and 2001.(Neil Fligstein American Journal of Sociology)
An Engine, Not a Camera is a compelling, detailed, and elegantly written exploration of the conditions in which finance economists help to make the world they seek to describe and predict. Donald MacKenzie has long been without equal as a sociologist of how late modern futures are brought into being and made authoritative. This is his best work yet.(Steven Shapin, Franklin L. Ford Professor of the History of Science, Harvard University)
Maggie Mort tells the fascinating and unusual story of the development of a high-tech submarine from the point of view of workers on the project.(Michel Callon, Ecole des Mines de Paris)
About the Author
Donald MacKenzie is Professor of Sociology (Personal Chair) at the University of Edinburgh. His books include Inventing Accuracy (1990), Knowing Machines (1996), and Mechanizing Proof (2001), all published by the MIT Press. Portions of An Engine, Not a Camera won the Viviana A. Zelizer Prize in economic sociology from the American Sociological Association.
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Top Customer Reviews
Some of the predominant models in the public domain are discussed in this book, mostly from an historical perspective but the author inserts some of the relevant mathematics in its appendices for the more mathematically sophisticated reader. In general the author makes a plausible case for his main thesis, but at times his conclusions are based on mere anecdotes, and he makes the typical mistake of imputing power and influence to individuals that is unsubstantiated.Read more ›
As a science, finance has evolved from a descriptive outpost on the economic frontiers to become of that discipline's central topics. During the same period, the financial markets changed from what often seems today like sleepy outposts of liquidity into dynamic centers for financial engineering. In the 1970s, the world was being introduced to commodity hedging and options trading. By the early part of the 21st century, derivatives contracts totaling more than $273 trillion were outstanding worldwide.
Donald MacKenzie, a sociology professor at the University of Edinburgh, argues in An Engine, Not a Camera, the trends are connected. Paraphrasing Milton Friedman, he argues the emergence of economic models were an engine of inquiry rather than a camera to reproduce empirical facts. As the science of finance became authoritative, the markets were altered. These new, Nobel Prize-winning theories, elegant mathematical markets models, were more than external analyses. They evolved into intrinsic parts of the financial process.
Beginning with a discussion of the work of Franco Modigliani and Merton Miller, the Capital Asset Pricing Model and Random Walk, MacKenzie takes the reader on a journey through the development of the Black-Scholes-Merton model, The Crash of 1987, Long-Term Capital Management and the Russian government's default in 1998 to bind the threads of his thesis.
Detailed, astute, well-written, and with much of the technical detail relegated to the appendices, this book weaves economics, financial theory, economic sociology and science and technology studies into an essential read for anyone with a serious interest in the financial markets.
MacKenzie analyzes the development of modern finance theory and its interplay with market evolution from a social-scientific, anthropological point of view. The people involved in the development of theory and markets take center stage; the author conducted dozens of interviews with academics and practitioners, and even reviewed the private papers of some. The amount of research incorporated into the analysis is impressive.
One word of caution: although the book does not contain much math, and what is included is relegated to appendices, a strong familiarity with the development of financial models, at the level, say, of Bernstein's "Capital Ideas", would be greatly beneficial to one's enjoyment of this book.
Summary: If you are interested in this topic -- read this book! You won't be disappointed.
In the economic world outside of finance, this is straightforward enough. If you spend enough time imagining that humans are rational actors who only look out for their own self-interest, for instance, and the theorems furthermore say that you should be a rational actor who only looks out for his own self-interest, you will -- suprise of surprises -- probably find yourself acting purely self-interested.
This is easy enough as an intuitive proposition. To really argue it, you'd need some data. The data would need to show that the model somehow creates the greed, or that people become greedy faster than they otherwise would have. You'd then be required to show that the causality doesn't run in the other direction: it's not that greedy people are just drawn to this model, but that they become greedy. Something like this.
Perhaps my tone suggests what I think about this, namely that it doesn't interest me very much. And so it goes for the bits -- and thankfully they are just bits -- about performativity in An Engine, Not A Camera. The finance markets are a good place to look for data: there's a lot of extremely high-quality stock-price data, at one-day resolution or lower, for the last few decades.Read more ›
Most Recent Customer Reviews
An unusually clear description of the underlying concepts, a vivid history of investment market frameworks and unusual insights. Thoroughly recommendedPublished on May 12, 2014 by Martin Venier
'[T]he belief that a theory can be tested by the realism of its assumptions independently of the accuracy of its predictions is widespread and the source of much of the perennial... Read morePublished on December 28, 2013 by John Vos
Great introduction to academic theories in Finance. Author is overly enthusiastic about contribution academics have made to the real world of Finance, but book serves as a great... Read morePublished on December 9, 2012 by W...
MacKenzie's thesis in this book is well known and worthy of consideration: financial models such as Black-Scholes are not simply tools of the finance industry, they actually... Read morePublished on April 10, 2012 by Herbert Gintis
I am going to concentrate my review on those chapters of the book that deal with the comparison -contrast done by the author between the financial models/theories created at the... Read morePublished on October 11, 2010 by Michael Emmett Brady