Fractal Market Analysis : Applying Chaos Theory to Investment and Economics by Edgar E. Peters (1994, Hardcover)

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A leading pioneer in the field offers practical applications of this innovative science. Peters describes complex concepts in an easy-to-follow manner for the non-mathematician. He uses fractals, rescaled range analysis and nonlinear dynamical models to explain behavior and understand price movements. These are specific tools employed by chaos scientists to map and measure physical and now, economic phenomena.

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Product Identifiers

PublisherWiley & Sons, Incorporated, John
ISBN-100471585246
ISBN-139780471585244
eBay Product ID (ePID)603856

Product Key Features

Edition1
Book TitleFractal Market Analysis : Applying Chaos Theory to Investment and Economics
Number of Pages336 Pages
LanguageEnglish
Publication Year1994
TopicChaotic Behavior in Systems, Geometry / General, Investments & Securities / General
IllustratorYes
GenreMathematics, Science, Business & Economics
AuthorEdgar E. Peters
Book SeriesWiley Finance Ser.
FormatHardcover

Dimensions

Item Height1.1 in
Item Weight20.8 Oz
Item Length9.6 in
Item Width6.2 in

Additional Product Features

Intended AudienceTrade
LCCN93-028598
Dewey Edition20
Series Volume Number24
Dewey Decimal332.601515
Table Of ContentFRACTAL 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.
SynopsisThis 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., A leading pioneer in the field offers practical applications of this innovative science. Peters describes complex concepts in an easy-to-follow manner for the non-mathematician. He uses fractals, rescaled range analysis and nonlinear dynamical models to explain behavior and understand price movements. These are specific tools employed by chaos scientists to map and measure physical and now, economic phenomena., A leading pioneer in the field offers practical applications of this innovative science. Peters describes complex concepts in an easy-to-follow manner for the non-mathematician. He uses fractals, rescaled range analysis and nonlinear dynamical models to explain behavior and understand price movements.

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