Nonlinear Pricing: Theory & Applications (Wiley Trading)
Average customer rating: 3 out of 5 stars
  • Completely Useless
  • Not worthy to present itself as a serious work
  • Ego trip with virtually no useful baggage
  • Contains no substance or even one concrete idea
  • Hand Waving and Puffery
Nonlinear Pricing: Theory & Applications (Wiley Trading)
Christopher T. May
Manufacturer: Wiley
ProductGroup: Book
Binding: Hardcover

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One of the many striking applications of nonlinear technology in recent years, nonlinear pricing uses cutting-edge technology to identify and exploit patterns hidden within the seemingly helter-skelter rise and fall of daily stock prices. Nonlinear Pricing sheds much needed light on the principles behind this innovative view of reality and provides clear explanations of how it is employed to predict-at least partially-the unpredictable.

Beginning with an incisive introduction to the topic, May presents the roots of nonlinearity through the examples of calendrics, geometry, and music. He then illustrated the application and integration of various nonlinear technologies, including genetic algorithms, fuzzy logic, fractal imaging, and nonlinear dynamics, to such essentials as trading strategies, asset allocation, risk management, and derivative pricing and hedging. Along with practical methodologies and a wealth of real-world examples, this comprehensive resource contains a glossary of terms, a bibliography and in-depth information on:
* Fractal analysis-power law distributions, fractional Brownian motion, and their relationships
* The Hurst Exponent-the KAOS screen and its practical implementation
* Resonance-time domain versus frequency domain, Brownian motion, and the Gaussian distribution
* Advanced concepts-Soros's Reflexivity, non-equilibrium economics, kernel of theoretical nonlinear pricing, May's Law, resolution and resonance

Written by one of the few practitioners using this breakthrough methodology to trade the markets successfully, Nonlinear Pricing fills an important niche in investment literature. It is a must read for anyone seeking to understand-and capitalize on-twenty-first century financial economics.

CHRISTOPHER MAY (New York, NY) runs TLB Partners, LP, an onshore hedge fund and May Nonlinear US Equity Fund, an offshore fund.

Customer Reviews:

1 out of 5 stars Completely Useless.......2001-09-11

Optimistically I bought this book expecting an insight into non-linear models of price behvaiour, maybe some thoughts I could use to flesh out my own experience - a peek into other approaches to managing price volatility perhaps. What I got was a rehash of technical analysis with a glaze of chaos theory. Don't bother.

1 out of 5 stars Not worthy to present itself as a serious work.......2001-09-07

I expect that I am not the only reader to conclude that Christopher May has only a cursory grasp of nonlinearity. As a reader of philosophy and religion and a mathematician with research experience in nonlinear dynamics, I kept wondering when the "hand waving" and "name dropping" were going to yield to some cold, hard analysis or practical application. I might even have settled on a few unproved practical pricing applications!

To add insult to injury, this book was poorly edited: papers were discussed as if well-known, then introduced five paragraphs later; whole paragraphs were repeated several times, as if the book had been a series of independent pamphlets stapled together; anecdotal musings ran on for pages with no purpose apparent other than to impress the reader with the author's erudition; typographical errors peppered the few mathematical expressions.

I have similar complaints with Edgar Peters' books, but at least Peters understands nonlinearity sufficiently to have applied some famous techniques to problems in financial valuation. One can hardly escape the suspicion that Christopher May is a long-winded "poseur."

1 out of 5 stars Ego trip with virtually no useful baggage.......2001-03-30

If you're looking for a good primer in fractal economics, do not waste your money, or worse, time with this book. You can get more information and less noise from E. Peters's "Chaos and Order in the Capital Markets". The most useful information you'll get from this book is a description of the Hurst exponent; the rest is, well...

I don't mind random musings with an articulate friend after dinner, but please don't do it in a pedagogical-sounding, inflated tome. Let the quotes describe themselves:

"... this chapter will present a challenge because it exists at a rarified level of understanding."

"I maintain, as any good scientist does, that the theory must fit the facts".

"The mathematics in this chapter may be complex to the financial economics professional" (I found the series summation as the most complex math in that chapter.)

Errors and carelessness are so prevalent, this book really brings down my opinion of the JW editors. Concepts of dependent and independent variables are mixed up, atrocious-looking graphs of normal and Levy distributions are shown, notations like "m2" are printed instead of "m(superscript)2" to mean m-squared, etc.

Most of the time is spent waxing philosophical connections among shallowly described concepts like Fourier transform, superstrings, the scriptures, Brownian motion, Socratic logic, etc. To be fair, if this sort of shooting-the-breeze provides a relaxing read for you, this book might fit the bill.

The author breathlessly describes "original concepts" like fixing risk for varying returns in security portfolios: this is already done with instruments like mortgage securities.

Perhaps the author's own quotation of Occam's Razor should have been heeded, "That which is not needed should not be included".

I did find the Bloomberg KAOS screen description on page 128 useful. If you use Bloomberg, you can also get that from the manuals.

1 out of 5 stars Contains no substance or even one concrete idea.......2000-02-02

Very poor treatment of the topic. The author doesn't seem to know where the nonlinearity lies in "Nonlinear Pricing". He sees it "everywhere". One wonders whether he even knows the difference between a linear and a nonlinear function, and if so why he seems to think that a Gaussian distribution pertains to "linear", and anything else to nonlinear. It is clear that his understanding of mathematics is at best vague; unfortunately not even his concepts bear much merit. "Genetic", "Fuzzy", "Non-equilibrium" are simply used as buzzwords to create the air of being mathematically-sophisticated (the mathematical community knows that "genetic algorithms" are essentially a characterization of "stabbing in the dark" in the absence of a better search procedure, or often, of knowledge). He even dares to toy with concepts from physics which he can't even start to fathom.

I see some readers fairly impressed with the book. If you don't have much understanding of math and the fundamental sciences, you might be. But you'll also be left with no understanding at the end of the day ( you might attribute the lack of understanding to your background in "humanities", but it will really be because the book has no substance ).

With his writing style, the author could perhaps have given Deepak Chopra a run for his money had he concentrated more on the religious part and had he sounded less cocky. Only religion/metaphysics would marvel at the unsubstantiated rhetoric one finds in this book. However, this is scientific ground he is attempting to tread on.

Just read Mandelbrot's original book ...

1 out of 5 stars Hand Waving and Puffery.......2000-01-07

The book can be summarized in 11 words: "Genetic fractal neural fuzzy chaotic nonlinear stuff good. Traditional finance bad."

There is no real information in the book. There are unsupported anecdotes and a myriad of quotes from non-financial sources. The lack of substance in the text leads one to suspect that the author himself doesn't understand the underlying mathematics himself.

For a better source, Chapter 12 of Econometrics of Financial Markets by Campbell, Lo and MacKinlay has more information on nonlinear modelling than the whole of this book (and it has a couple hundred pages on traditional financial economics.)
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