Product Description

The scientific study of complex systems has transformed a wide range of disciplines in recent years, enabling researchers in both the natural and social sciences to model and predict phenomena as diverse as earthquakes, global warming, demographic patterns, financial crises, and the failure of materials. In this book, Didier Sornette boldly applies his varied experience in these areas to propose a simple, powerful, and general theory of how, why, and when stock markets crash.

Most attempts to explain market failures seek to pinpoint triggering mechanisms that occur hours, days, or weeks before the collapse. Sornette proposes a radically different view: the underlying cause can be sought months and even years before the abrupt, catastrophic event in the build-up of cooperative speculation, which often translates into an accelerating rise of the market price, otherwise known as a "bubble." Anchoring his sophisticated, step-by-step analysis in leading-edge physical and statistical modeling techniques, he unearths remarkable insights and some predictions--among them, that the "end of the growth era" will occur around 2050.

Sornette probes major historical precedents, from the decades-long "tulip mania" in the Netherlands that wilted suddenly in 1637 to the South Sea Bubble that ended with the first huge market crash in England in 1720, to the Great Crash of October 1929 and Black Monday in 1987, to cite just a few. He concludes that most explanations other than cooperative self-organization fail to account for the subtle bubbles by which the markets lay the groundwork for catastrophe.

Any investor or investment professional who seeks a genuine understanding of looming financial disasters should read this book. Physicists, geologists, biologists, economists, and others will welcome Why Stock Markets Crash as a highly original "scientific tale," as Sornette aptly puts it, of the exciting and sometimes fearsome--but no longer quite so unfathomable--world of stock markets.

Product Details

• Amazon Sales Rank: #426493 in Books
• Published on: 2004-02-23
• Original language: English
• Number of items: 1
• Binding: Paperback
• 448 pages

From Publishers Weekly
It’s everybody’s favorite topic of conversation at the moment: why did the Dow and the Nasdaq tank so horrifically, and where did all the money go? UCLA professor Sornette does his best to tackle those questions. While CNBC anchor Ron Insana’s recent Trend Watching took a reader-friendly look at the history of market bubbles, Sornette’s approach is decidedly different. Befitting his status as an expert in geophysics, the author loads the text with enough charts, graphs and advanced economic theory to choke John Kenneth Galbraith (one chapter subheading, for instance, is "The Origin of Log-Periodicity in Hierarchical Systems"). It’s a meaty book, with helpful autopsies of past crashes ranging from tulip mania in the Netherlands to the Nasdaq crash of April 2000, as well as information on how crashes might be predicted in the future. Unfortunately for the average investor who tends to get burned after these bubbles, Sornette’s conclusion is that a mixture of "systemic instability" and plain old human greed means that market bubbles aren’t about to disappear anytime soon. And neither, of course, will the subsequent crashes.
Copyright 2003 Reed Business Information, Inc.

Review
"The author ... has done an admirable job of understanding and appreciating the financial world and its nuances". -- Rick Gorvett, Journal of Risk and Insurance

Review
Sornette is both a statistical physicist and a member of a new breed of scientist: the econophysicist. . . . But Sornette's book is not just about finance and economics; it is also a mesmerizing introduction to game theory, fractals, catastrophe theory, critical phenomena, and much more. No prior knowledge of finance or economics is needed to understand the book. . . . Throughout the book, Sornette makes numerous, vivid comparisons with many other fields in which the various mathematical tools he describes can be applied.
(Frank Cuypers Physics Today )

The book is written in a readable style and does not require technical knowledge. Any reader interested in a serious approach to the origin and possible prediction of financial bubbles will enjoy reading it.
(Josep M. Porra Journal of Statistical Physics )

A highly recommended, enjoyable, well-researched, and thought-provoking book for anyone interested in stock markets and the modeling of financial processes.
(Rick Gorvett Journal of Risk and Insurance )

Customer Reviews

An Engaging and Thought-Provoking Work
If you love to read works on economics, math and physics and love to assemble models of the world, I cannot recommend this book highly enough. Indeed, if economic models were this much fun when I was an undergraduate, I might have become an economist.

Funny thing though, this was not written by an economist, but by a geophysicist.
It seems physicists and psychologists in particular are writing more interesting economics books these days than economists themselves.

The core focus of the book is a derivation of a market model that includes value investors, momentum investors and the herding effect of individual economic agents acting in a world of partial information. The final model is stunning.

Sornette points out the main problem with predicting bubbles: even if all the signs say "yes," there is still a pretty good chance that the bubble will be self-correcting. Turns out chasing market bubbles is a little like chasing soap bubbles - they may simply disappear at any moment. Thus, the book and the model are of limited use in any type of market timing. Indeed, the model suggests that the market should now be in the tank, and yet it continues to hover on the higher side of its expected range.

As much as I loved the book, there was a slight aftertaste that this was all nothing but a very mathematical and high-minded type of technical analysis. That at base, when all was said and done, this was not all that different from the various "tools" in the chartist's handbook, e.g. MACD, RSI and OBV, etc., etc., etc. The difference may be solely that Sornette knows his statistics and would easily and readily dismiss any model which did not perform significantly different from chance.

Finally, this book will have you trotting out your old high school calculus book. It brought back memories of just how much fun mathematics can be.

All in all - I give it 5 stars.

WARNING: Get two Ph.D.'s before opening this book
Ever since I bought gold at $800 an ounce (the very top) 20 years or so ago, I have been fascinated by financial markets and their tendencies to produce bubbles that fool the majority. I know that complex systems and positive feedback and other phenomenons are at play and I wanted to find a book that covered the topic with enough depth. I thought Sornette's book was the one and some other reviews might make you think it is. Not for me though. Granted, it is extremely well researched with more than 460 references. It covers all the possible theories for stock markets price fluctuations and crashes. But its merit for me stops here.

The author warns the reader at the outset that mathematical explanations in smaller characters could be skipped in a first reading. The problem is that 90% of the book should be in smaller characters. The main text will be as hermetic to most readers than the small characters sections. Unless you have a graduate degree in a mathematics or physics and an extended experience in the disciplines that Sornette covers you'll be lost (BTW I do have one and I was lost). Here is an example of the kind of explanations you will find:

"The novel insight is that the arbitrary bubble component X, of an asset price plays a role analogous to the so-called 'Golstoine mode' in nuclear particle and condensed physics. Goldstone modes are the zero energy infinite-wavelength mode fluctuations that attempt to restore broken symetry."

Did you get it? I didn't.

This book might be of interest to researchers and acdemics in the field but it is way beyond the level of the educated general public. It is regreatble that Mr. Sornette
has chosen such a complex and esoteric way to treat the topic and has not made the slighest attempt to make it understandable to a wider public.

So I will keep looking for the book that will explain the fractal nature of stock markets in a documented but simple and interesting way.

Experiment by yourself
I must confess that I read
Didier Sornette's book with much pleasure; and I also
read the reviews posted on this site in particular those who
contend that, unless you are Stephen Hawking, you will be unable
to grasp the message the book conveys. Well, as I'm not
Hawking this opens a debate which is
worth some moments of reflexion.

Before seventeenth century physicists unraveled the mysteries
of vacuum and atmospheric pressure, the accepted explanation,
we are told, was that "nature is averse to vacuum". Obviously,
such an anthropomorphic explanation is both easy to grasp and
intuitively appealing. Although based on a number of nice
experiments, the scientific framework which replaced it did
not have the simplicity and intuitive attractiveness of the
former statement.
Why do stock markets crash? Well, the answer is very simple.
Because investors are averse to uncertainty, because
of an abrupt change in their mood and overall
utility function. OK. But unless, we can assess and
measure in some objective and quantitative way
either market uncertainty or the
investors' global utility function, we will not go
very far with such kind of explanations.

Now, let us come back to Didier Sornette's book. The author
proposes a new framework which is based both on a set
of new ideas and new scientific tools. As to the ideas
one can mention the two following.
* Stock market boom-crashes are a recurrent process,
which implies that they can be studied from a comparative
perspective. Specifically this means that it makes sense
to compare the crash of the Paris stock market in 1881
and the crash of the NASDAQ market in March 2000.
* What happens on stock markets is the result of the
COLLECTIVE BEHAVIOR of agents which means that the
decision which I take today depends upon what
my friends or colleagues David, John
and Stanley have done (and vice versa).

Simple as they may seem, these two ideas are quite
innovative. Even in the circle of behavioral economists
few (if any) researchers would probably accept them
altogether.

Naturally, in order to translate these ideas into
workable models we need some mathematical tools. Is
it at that point that I need to be Hawking? I don't
think so. Discrete scale invariance or
log-periodicity techniques are
not more complicated than modern theories of
equity arbitrage or Ito's lemma (which is used in
continuous time arbitrage theory), but these techniques
are less familiar to us and we therefore need some time
to get acquainted with them. Through numerous
figures and graphs this book provides an
introduction to these techniques
which is aimed for newcomers and pedestrians.

Of course, you don't need to take my view as
gospel truth, just experiment by yourself.