Babak, jem, and buzzy2,
I respect your opinions and your criticisms have much validity. First and foremost you are correct in saying that it is difficult to create a working strategy from Sornette's work. Second it is true that the frequency of these monumental crashes, and following anti bubble behavior, is not frequent enough to satisfy the trading needs of most of us daytraders but their frequency seems to be increasing in our volatile world. The best way I can describe the underlying concept, and remember I am just a fan and not an expert, is that financial crashes exhibit the same types of patterns or behaviors found in many other natural phenomena. The same type of minor perturbations that set off earthquakes or kick off full blown fracture in a metal stress test or set off an avalanche, etc are the same things that can trigger an unstable market into a crash. Seemingly independent agents (in this case traders) will actually have an impact on one another, through information transfer, conversation, influence, and of course the feedback loop that is the markets. Out of this sea of supposedly independent agents can arise a polarization of opinion and action, an âemergenceâ if you will, that can set off a crash. These things are not supposed to be possible in the normal framework of EMH, Gaussian distribution, random walk, etc.
What is more interesting than examining the actual crash period is going through the equations Sornette uses to establish the behaviors of traders during the buildup before the crash. The underlying idea that I took away from it was that at the point of the crash the return expected from a rational trader/agent becomes nearly infinite to compensate for the immense risks he is running. At this point the entire system becomes unsustainable and crashes.
To really grasp the potential application of this work for yourself you have to develop your own novel approach for detecting the same pre-crash signal that Mr. Sornette is. With this system in place you should be able to theoretically predict crashes and receive a number of other equally important pieces of information if you are creative. If you read his papers you will find that his method was able to predict many crashes within an accuracy of 3 days even months beforehand.
Now I donât think this guy has the infamous âLine to Godâ or anything concerning predicting each and every market move, but I do think that the underlying premise, that during great manias and subsequent crashes the markets resemble other natural systems, is right on target.