Fractal Market Analysis: Applying Chaos Theory to Investment and Economics

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John Wiley & Sons, Jan 26, 1994 - Business & Economics - 315 pages
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Business Week hailed it as the "bible of market chaologists". Financial Analysts Journal ranked it "among the most provocative financial books of the past few years". With the publication of Chaos and Order in the Capital Markets, Edgar E. Peters won universal acclaim for describing chaos theory for the stock, bond, and commodities markets of the 1990s. Now the most respected author on the subject of chaos theory gives traders and investors everywhere what they've been eagerly awaiting - the first applications-oriented book on using chaos as a sophisticated market analysis tool. In Fractal Market Analysis, Edgar Peters tackles head-on tradition bound capital market theories and asset pricing models that depend on symmetry and smoothness, base their results on regular, periodic market and economic cycles, and seek to explain away as "anomalies" such recurring events as market stampedes and crashes. In its place, the author proposes a new "fractal market hypothesis", which opens a window into the way the financial world actually is, rather than the way we would like it to be. Based on current chaos theory and using fractals - objects whose disparate parts are self-similar and which thrive on market roughness and asymmetry - the book provides a valuable new framework for accurately understanding and precisely modeling the turbulence, discontinuity, and nonperiodicity that truly characterize today's capital markets. Fractal Market Analysis delivers a robust tool for understanding the conflicting market randomness and determinism we experience every trading and investing day. Called "rescaled range (R/S) analysis", it actually thrives on noise, measurement, and volatility, and is free of themathematical limitations of traditional Gaussian statistics. By following the guide's numerous step-by-step case studies, you'll learn how to apply R/S analysis to your own area of interest - bonds, equities, interest rates, foreign currencies, and gold - to more accurately determine the number and length of both nonperiodic and periodic market and economic cycles to enhance your portfolio selection. Here, finally, is the first professional guide to reconcile the rational, but limited approach of traditional quantitative management with the practical experience of actually dealing with the markets. By merging chaos theory, fractal statistics, and nonlinear dynamic modeling. Fractal Market Analysis leads you to ever-finer levels of market resolution. With it, you'll better understand short- and long-term developments, undertake more precise time series and cycle modeling, and use your conclusions to create realistic market models.

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Introduction to Fractal Time Series
Failure of the Gaussian Hypothesis
A Fractal Market Hypothesis
Measuring MemoryThe Hurst Process and RS Analysis
Testing RS Analysis
Periodic and Nonperiodic
Case Study Methodology
Problems with
Fractal Statistics
Applying Fractal Statistics
Noisy Chaos and RS Analysis
Fractal Statistics Noisy Chaos and the FMH
Understanding Markets
The Chaos Game
Fractal Distribution Tables

A Study in Antipersistence
Gold and U K Inflation
A True Hurst Process
Fractional Noise and RS Analysis

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Page 303 - Bias in Fitting the Sharpe Model to Time Series Data," Journal of Financial and Quantitative Analysis, September 1969.

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