Fractal Market Analysis: Applying Chaos Theory to Investment and Economics

ISBN-13: 9780471585244 / Angielski / Twarda / 1994 / 336 str.

Edgar E. Peters; Donada Peters

Opis

This sequel to the author's Chaos and Order in the Capital Markets presents the practical applications of the science of chaos to financial markets. Peters shows how to profit from the similarity in the markets in this applications-oriented book. Behaviour and price movements are explained using fractals, rescaled range analysis and non-linear dynamical models.

Spis treści

FRACTAL TIME SERIES.

Failure of the Gaussian Hypothesis.

A Fractal Market Hypothesis.

FRACTAL (R/S) ANALYSIS.

Measuring Memory––The Hurst Process and R/S Analysis.

Testing R/S Analysis.

Finding Cycles: Periodic and Nonperiodic.

APPLYING FRACTAL ANALYSIS.

Case Study Methodology.

Dow Jones Industrials, 1888–1990: An Ideal Data Set.

S&P 500 Tick Data, 1989–1992: Problems with Oversampling.

Volatility: A Study in Antipersistence.

Problems with Undersampling: Gold and U.K.

Inflation.

Currencies: A True Hurst Process.

FRACTAL NOISE.

Fractional Noise and R/S Analysis.

Fractal Statistics.

Applying Fractal Statistics.

NOISY CHAOS.

Noisy Chaos and R/S Analysis.

Fractal Statistics, Noisy Chaos, and the FMH.

Understanding Markets.

Appendices.

Bibliography.

Glossary.

Index.

O autorze

EDGAR E. PETERS is Chief Investment Strategist and Director of Systematic Asset Allocation for PanAgora Asset Management, a global investment management firm. He is a frequent lecturer on market theory and has taught investment and portfolio management at Babson College, Boston College, and Bentley College. He is the author of Chaos and Order in the Capital Markets and Fractal Market Analysis, as well as numerous articles in professional journals.