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4.5 out of 5 stars
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Choices, Values, and Frames
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on July 31, 2006
I wonder, what can one say abot work that has already won the Nobel Prize that can possibly add to the estimation of a work? Being far too insignificant to lend any great weight to the already abundant praise for this work, I can only perhaps illuminate an application of the material that seems to have been overlooked.

Regarding the field of risk management (not the wll street kind, but just regular risk decision making in business) this book is of inestimable value. I have often notices certain biases towards risk aversion or risk taking when business decisions are beign made. Much seemed to be due to the context. This work shows exactly why and how decision bias arises. This is the foundation for the creation of a useful risk decision analytical framework.

The paper of interest to me relate to why people will choose to take or avoid risks that, according to utility theory, are the wrong decisions. For example, why pepole buy insurance even when it is a better financial choice to be uninsured. These works explain why and under what circumstances one's biases override logic. Why this is not a common text on the desk of every risk manager, I will never know.

In this one volume, there is enough information to design an utterly new field of risk management and to solve most every problem one can face. This has become the one reference material that I considre indespensible. throw out the CPCU and ARM texts that you never use and can't bear to read ever again. Chuck them and place this volume in their place and you will be far, far better off.
7 people found this helpful
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on January 9, 2018
People ask what book they should read to....X....

It doesn't matter what X is, this is the book you should read.

It is really long, and it is some of the hardest reading you will ever do, but it is basically a book of "how people make decisions, good, bad and indifferent" if you have this book, a working history of a person, and the person doesn't have dementia, you can probably figure them out with this book.

Once you know how people think, and make their decisions you don't need any other book because you could just make them do what you want and have it be their idea.

"So, Brandon if you have this power why don't you do this all the time?"

Glad you asked... Turns out getting accurate histories of people is really hard. Way harder than say just making my own cup of hot cocoa.
3 people found this helpful
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on July 10, 2015
Not an easy read. This is a collection of technical papers. Popular readers will want to see "Thinking, Fast and Slow" but this (and the companion volume) are vastly important for people working in several disciplines. Having this collection in one volume is important, and a great service.
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on January 8, 2017
Pure genius
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HALL OF FAMEon December 22, 2006
Most, if not all who have done financial modeling have made some use of prospect theory in order to assess and measure risk in financial instruments, although this use has yet to be widespread throughout the risk management community. The reason for this is very simple: prospect theory gives another view of risk that is different from the traditional one offered by classical economics, and one that is closer to what is exemplified in real economic data. Its theoretical foundations are less clear however, as compared to what is found in the now canonical approaches to risk based on Merton, Black, Scholes, etc. In prospect theory it is assumed that individuals make financial decisions relative to a reference point, and loss aversion plays a predominant role. In housing markets for example, some homeowners are reluctant to sell their properties if the prices fall below the market value. Empirical data shows that when house prices decline, houses sit for exceedingly long periods of time with their asking prices exceeding greatly the expected selling prices. These houses are usually withdrawn from the market without being sold. Classical economic theory would suggest that they would be sold with the asking price being very close to the market price, since the sellers are assumed to be rational and weigh expected gains in the same way as they expected losses. In prospect theory however, the value function for an individual is concave in gains but convex in losses, and is much more sensitive to losses that to gains of an equivalent size.

Prospect theory is thoroughly and beautifully discussed in this book and this is due to some degree by the presence of articles written by Daniel Kahneman and Amos Tversky, its originators. As outlined by these two researchers, prospect theory asserts that individuals tend to be sensitive to changes in values rather than absolute values and have diminishing marginal sensitivity to changes. This is reflected in the shape of their utility functions: qualitatively speaking they are steepest in regions where the marginal sensitivity to change is greatest and then they flatten out in directions where the changes in wealth increase. As a consequence, individuals prefer a small gain that is certain to a larger gain that is uncertain. Conversely, they prefer the possibility of a larger gain than the certainty of a small loss.

To motivate the content of the book, Kahneman writes an excellent preface, giving an overview of what to expect in the book and thus allowing readers to assign their own weights to which particular articles they find of interest. Some readers may want to read the entire book, but it seems likely that only selected articles will be chosen for careful study, based of course on the background of the reader. However, the first article in the book, which was published by Kahneman and Tversky in 1983, should probably be read by everyone interested in prospect theory and its foundations. The second article is a more quantitative formulation of what was said in the first, and contains an in-depth critique of expected utility theory. The content of this article should be helpful to those readers who work in a risk management environment and need to construct realistic models of choice under risk.

If the development of these models is guided by prospect theory, the analyst will arrive at a final product that could with fairness be classified as "microeconomic." The challenge in using prospect theory is to conglomerate the individual choices so that a risk manager can speak intelligently of the risk of a portfolio that is based on these individual choices. Some insight that could guide this development can be found in Part Five of the book, which covers applications of prospect theory. One particular article that stands out in this regard is the one by S. Benartzi and R. H. Thaler on the equity premium puzzle. This article attempts to understand, in the context of prospect theory, why fixed income securities have underperformed relative to stocks for the last nine decades, from about a 7% annual real return on stocks to a 1% return on treasury bills. The author's simulations indicate that the loss aversion aspect of prospect theory gives a better explanation to the equity premium puzzle than the traditional approaches based on expected maximum utility.

Still another interesting article in Part Five is the one on the `money illusion' written by E. Shafir, P. Diamond, and A. Tversky, and which first appeared in publication in 1997. The term `money illusion' is used to refer to the tendency of some individuals to think in terms of nominal values instead of real monetary ones. It is thus at odds to the picture offered by classical economics with its assumption of perfect rationality. The authors point to studies in cognitive psychology that indicate that some individuals form alternative representations of identical situations, and that these lead therefore to different responses. Examples of this are given, leading the authors to assert that the money illusion can be interpreted as a bias in assessing the real value of an economic transaction. This bias is induced by a nominal evaluation and its magnitude is determined by the real salience between the nominal and real representations, and the sophistication of the decision maker. The reviewer has used these types of considerations in modeling home equity markets.
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on August 23, 2001
Daniel Kahneman and Amos Tversky have spent their whole lives developing an alternative to the "rational actor" model of human decision-making, the standard of traditional economic theory and the decision sciences. Their ideas were received rather well from the start, but in recent years, their alternative, which we can fairly call "behavioral economics" has virtually displaced traditional decision theory as an active research area.
People often think of the Kahneman-Tversky behaviorists as "bomb-throwers" in the sense that they appear to love to destroy traditional concepts of rationality rather that put constructive models in their place. This collection, which consists of 42 very high quality essays by the leading lights of the field, shows clearly that this is not the case. Prospect theory, loss aversion, framing effets, status quo effect, and the like are carefully modeled in this book. I came away quite impressed.
It is a shame that Amos Tversky never lived to see the light of day of this fine volume. It is certainly a vigorous vindication of his lifetime research agenda.
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on January 19, 2015
Good book.
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on March 6, 2014
A great collection of seminal papers. Gives a good overview of the field of behavioral economics and the connections between paychology and econ.
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on November 3, 2007
This book will enhance your thinking, and open your eyes to human blind spots. It exposes in a very nice way that we humans make illogical choices, and are not as rational as we think.

Read it with an open mind to accepting your own fallibilities. If you understand the concepts presented - you will find yourself immensely enriched, and on the journey to making sound decisions and choices. Brush up on the basics of probability before you delve into the book.

Enjoy!
5 people found this helpful
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on June 18, 2013
This book (although it's a compilation of articles) has many of the most important work in the area of Psychology and it's full of math explanations. A good guide for those who intend to go to the core of the theories.
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