In An Engine, Not a Camera, Donald MacKenzie argues that the emergence of modern economic theories of finance affected financial markets in fundamental ways. These new, Nobel Prize-winning theories, based on elegant mathematical models of markets, were not simply external analyses but intrinsic parts of economic processes. Paraphrasing Milton Friedman, MacKenzie says that economic models are an engine of inquiry rather than a camera to reproduce empirical facts. More than that, the emergence of an authoritative theory of financial markets altered those markets fundamentally. For example, in 1970, there was almost no trading in financial derivatives such as "futures." By June of 2004, derivatives contracts totaling $273 trillion were outstanding worldwide. MacKenzie suggests that this growth could never have happened without the development of theories that gave derivatives legitimacy and explained their complexities. MacKenzie examines the role played by finance theory in the two most serious crises to hit the world's financial markets in recent years: the stock market crash of 1987 and the market turmoil that engulfed the hedge fund Long-Term Capital Management in 1998. He also looks at finance theory that is somewhat beyond the mainstream -- chaos theorist Benoit Mandelbrot's model of "wild" randomness. MacKenzie's pioneering work in the social studies of finance will interest anyone who wants to understand how America's financial markets have grown into their current form.
An Engine, Not a Camera
and over one million other books are available for Amazon Kindle. Learn more
| ||||||||||||||||||||||||
Browse our Bookshelf Favorites store for big savings on popular fiction, nonfiction, children's books, and more. |
Book Description
Frequently Bought Together
Editorial Reviews
Review
"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
"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.
Product Details
Would you like to update product info or give feedback on images? |
More About the Author
Discover books, learn about writers, read author blogs, and more.
Customer Reviews
Most Helpful Customer Reviews
31 of 31 people found the following review helpful
Format:Hardcover|Amazon Verified Purchase
Many financial analysts and financial journalists have pointed to quantitative trading and the subprime mortgage markets as being the major cause behind the extreme volatility in the financial markets in the summer of 2007. This book therefore seems fitting for this particular time in financial history, if only at a bare minimum to educate the reader about the use of mathematical modeling in financial analysis and financial engineering. As the subtitle of the book indicates, the author's main thesis is that the use of mathematical models can actually change the dynamics of the markets themselves, moving them possibly to territories even more uncertain that they were invented to describe. Quantitative trading, now done by most of the major players in the financial markets, is dependent of course on mathematical modeling, some of which uses highly sophisticated reasoning patterns and artificial intelligence. Most of these models are proprietary, and therefore one cannot ascertain their efficacy in the acquisition of wealth for the organizations that deploy them. However, with a little pertinacity one can acquire a good understanding of their workings by studying the academic literature.
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. It is very tempting, especially among those individuals or institutions that are involved in trading, or even responsible for innovations in the same, to believe that they are the cause for some of volatility in the financial markets. But such claims, even if they seem reasonable or intuitively clear, must be substantiated with careful statistical analysis, which can be time-consuming and difficult, and few individuals it seems are willing to devote themselves to such a project. The author though is aware of this, for he states very early on in the book that historical sources may not be sufficient to allow one to decide if the influences are real. In addition, he cautions the reader to "look not just at what participants say and write but also at whether the processes in question involve procedures and material devices that incorporate economics."
The author labels the idea that economics as an academic project is actually part of economic processes the `performativity of economics', which he further breaks down into subclasses that serve to clarify the distinctions he wishes to make. One of these is more of a passive notion, called "generic" performativity, which is used to describe the participant's use of economic theories or data without emphasizing their effects on economic processes. If such effects take place, this is called "effective" performativity, which is then specialized to "Barnesian" performativity. The latter is used to describe the situations where the practical use of economic theory makes economic processes resemble what they are described to be by economic theory. Barnesian performativity is to be contrasted with `counterperformativity' where the actual use of economic models makes economic processes not resemble their description by these models. The author discusses how to detect Barnesian performativity, but warns of the difficulty in proving that movements in prices are following certain model predictions.
But aside from the qualitative/historical emphasis that the author makes in this book and the small number of unsubstantiated claims of model-market influence, the reader will take away a better understanding of such topics as the capital asset pricing model, the Black-Scholes-Merton model of option pricing, the Modigliani-Miller theory of capital structure, a description of Levy processes and their role in econometrics, and most interestingly, a different explanation for the demise of Long Term Capital Management. All of these topics, coupled with the intellectual honesty and literary skill of the author, make this book a highly interesting contribution to the financial literature.
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. It is very tempting, especially among those individuals or institutions that are involved in trading, or even responsible for innovations in the same, to believe that they are the cause for some of volatility in the financial markets. But such claims, even if they seem reasonable or intuitively clear, must be substantiated with careful statistical analysis, which can be time-consuming and difficult, and few individuals it seems are willing to devote themselves to such a project. The author though is aware of this, for he states very early on in the book that historical sources may not be sufficient to allow one to decide if the influences are real. In addition, he cautions the reader to "look not just at what participants say and write but also at whether the processes in question involve procedures and material devices that incorporate economics."
The author labels the idea that economics as an academic project is actually part of economic processes the `performativity of economics', which he further breaks down into subclasses that serve to clarify the distinctions he wishes to make. One of these is more of a passive notion, called "generic" performativity, which is used to describe the participant's use of economic theories or data without emphasizing their effects on economic processes. If such effects take place, this is called "effective" performativity, which is then specialized to "Barnesian" performativity. The latter is used to describe the situations where the practical use of economic theory makes economic processes resemble what they are described to be by economic theory. Barnesian performativity is to be contrasted with `counterperformativity' where the actual use of economic models makes economic processes not resemble their description by these models. The author discusses how to detect Barnesian performativity, but warns of the difficulty in proving that movements in prices are following certain model predictions.
But aside from the qualitative/historical emphasis that the author makes in this book and the small number of unsubstantiated claims of model-market influence, the reader will take away a better understanding of such topics as the capital asset pricing model, the Black-Scholes-Merton model of option pricing, the Modigliani-Miller theory of capital structure, a description of Levy processes and their role in econometrics, and most interestingly, a different explanation for the demise of Long Term Capital Management. All of these topics, coupled with the intellectual honesty and literary skill of the author, make this book a highly interesting contribution to the financial literature.
12 of 12 people found the following review helpful
Format:Hardcover|Amazon Verified Purchase
Both the science and the art and practice of finance have experienced phenomenal growth since the 1970s.
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.
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.
5 of 5 people found the following review helpful
5.0 out of 5 stars
Brilliant Work, Takes You Through the Steps Which Got Us Where We Are Now.
April 4, 2009
Format:Paperback|Amazon Verified Purchase
MacKenzie has written a wonderful and brilliant book on a very complex set of issues; the development of mathematical finance theory. He has managed to take some very complex ideas and place them in highly readable and understandable ways and in addition places you in the midst of the process and the people as it has evolved over the past fifty years.
He starts with a discussion of the commodity exchanges. The point he makes is that the exchanges could exist only with the railroad and standards, inspected wheat and corn, so that one no longer worried about a specific bushel of wheat or corn from a specific farmer, but only about the property rights to a bushel, no matter where it came from. Once that existed the whole process was off and running.
He then takes the reader through the evolution of the CAPM model with Modigliani and Miller. He adds a bit of the Samuelson saga and the growing difference between MIT and Chicago schools. Having been on the edge of that set of discussions he does a splendid job.
These observations of the schools and personalities should be exceptionally germane to the current environment which is dominated by the Harvard types who filtered through MIT. After all, Larry Summers was MIT undergrad and Harvard grad. Bernake is MIT grad. The author lends great credibility and human feeling for these characters while ensuring the understanding of the new principles developed.
He then proceeds through stock options and the Black-Scholes work, and then takes you into the pits of traders and then through the various falls that occurred over the years.
This is not a book for understanding finance. It was not intended for that. This is, however, a must book for understanding the mind-set which got us to where we are now.
There were tons of good intentions but a lack of real world reality. There is a clear understanding that the models be accepted not that they predict the actual. Like economists generally, these finance type economists develop their models in a manner which is then antithesis of engineers.
Engineers are all too often introduced to their trade by being shown examples of failure. Most engineers remember the film of the collapse of the Tacoma Narrows Bridge due to inherent instabilities in its design. Then they are told that they should never allow that to happen again. Thus, engineers over design and always look for failure modes.
These financial economists, as demonstrated by the author, are driven by concepts and theories and are devoid of any reality. Thus, the never ending collapses are inevitable with such mind sets. This book is a great lesson for the future as well as the present.
He starts with a discussion of the commodity exchanges. The point he makes is that the exchanges could exist only with the railroad and standards, inspected wheat and corn, so that one no longer worried about a specific bushel of wheat or corn from a specific farmer, but only about the property rights to a bushel, no matter where it came from. Once that existed the whole process was off and running.
He then takes the reader through the evolution of the CAPM model with Modigliani and Miller. He adds a bit of the Samuelson saga and the growing difference between MIT and Chicago schools. Having been on the edge of that set of discussions he does a splendid job.
These observations of the schools and personalities should be exceptionally germane to the current environment which is dominated by the Harvard types who filtered through MIT. After all, Larry Summers was MIT undergrad and Harvard grad. Bernake is MIT grad. The author lends great credibility and human feeling for these characters while ensuring the understanding of the new principles developed.
He then proceeds through stock options and the Black-Scholes work, and then takes you into the pits of traders and then through the various falls that occurred over the years.
This is not a book for understanding finance. It was not intended for that. This is, however, a must book for understanding the mind-set which got us to where we are now.
There were tons of good intentions but a lack of real world reality. There is a clear understanding that the models be accepted not that they predict the actual. Like economists generally, these finance type economists develop their models in a manner which is then antithesis of engineers.
Engineers are all too often introduced to their trade by being shown examples of failure. Most engineers remember the film of the collapse of the Tacoma Narrows Bridge due to inherent instabilities in its design. Then they are told that they should never allow that to happen again. Thus, engineers over design and always look for failure modes.
These financial economists, as demonstrated by the author, are driven by concepts and theories and are devoid of any reality. Thus, the never ending collapses are inevitable with such mind sets. This book is a great lesson for the future as well as the present.
Most Recent Customer Reviews
5.0 out of 5 stars
Must read for PhD students
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 more
Published 5 months ago by W. Johnson
4.0 out of 5 stars
A Thick Ethnography of American Futures and Options Markets
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 more
Published 13 months ago by Herbert Gintis
5.0 out of 5 stars
4.5 stars-The author correctly demonstrates how Ptolomaic and...
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 more
Published on October 11, 2010 by Michael Emmett Brady
5.0 out of 5 stars
A great book, but not great for the reasons it thinks
By far the least interesting part of this fascinating book, it seems to me, is its ostensible purpose. Read more
Published on January 24, 2009 by Stephen R. Laniel
5.0 out of 5 stars
Which came first, the market or the model?
MacKenzie has an interesting take on the development of financial models, technology and organized exchanges, focusing on the latter half of the 20th century. Read more
Published on June 27, 2008 by J. Gordon
What Other Items Do Customers Buy After Viewing This Item?
Listmania!
|
|
