|
|
7 of 8 people found the following review helpful:
3.0 out of 5 stars
Investment Little Leaguers Storm the Big Leagues, 29 Aug 2004
This book's appeal lies in its contrasts. Serious students of nonlinear relationships from academia meet unintellectual money men from Wall Street is one such contrast. Operating in humble surroundings in Santa Fe, New Mexico while supplying information to trade commodities in the financial capitals is another. Informal dressers meet people in power suits is another. In such circumstances, we naturally pull for the outsider, and you will be rooting for the Prediction Company to succeed. When it does, you will feel good. The American dream lives!If you are looking for a book to help you become a more successful investor, though, this one won't take you very far. "We look for pockets of predictability, shifting regimens where order can be found merging from what are otherwise highly chaotic time series." This observation in the book builds on chaos theory, a subject that those featured in the book, especially Doyne Farmer and Norman Packard, helped develop. For example, when you look at two fluids that are streaming past one another, the edges are turbulent. When you look at those edges in more detail though, you will see many repetitions of the same pattern (fractals). Having worked first with physical patterns like this, the Prediction Company moves into financial markets to look for fractal patterns caused by human psychology. I graded the book down by two stars not because it is an uninteresting book, or badly written. The story is quite engaging and is smoothly written. I graded the book down because the book fails to capture the full context of the subject matter, and falls far short of its potential as a result. You get occasional references to chaos theory, computer processing issues, and making money with mathematically-based predictions, but these are only hints. The book should have made these connections as more thoroughly developed themes. My interpretation of what the Prediction Company is doing is finding situations that occur so predictably (and with so few losses when they do not) that such trades create lopsided risk-reward opportunities. Many securities offer just such patterns, and many money managers search for them. Looking for those that reflect nonlinear relations is done much less often. That concept makes a fascinating story, because computer processing power limits what can be done. How did the Prediction Company get around this problem? We get little information. That's too bad! After you have finished enjoying this story of the underdogs taking some of the top dogs, I suggest you think about where you know a great deal about something. Where can that knowledge be applied in new places and in new ways? Where could you do this and have a ball? You may at least find a new hobby, as a result. Even better, you could found a new industry! Keep an open mind!
Help other customers find the most helpful reviews
Was this review helpful to you?
|
|
|
|