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Fractal Market Analysis : Applying Chaos Theory to Investment and Economics, ...
US $15.00
Approximately£11.18
Condition:
Very Good
A book that has been read and does not look new, but is in excellent condition. No obvious damage to the book cover, with the dust jacket (if applicable) included for hard covers. No missing or damaged pages, no creases or tears, no underlining or highlighting of text, and no writing in the margins. Some identifying marks on the inside cover, but this is minimal. Very little wear and tear. See the seller’s listing for full details and description of any imperfections.
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US $5.22 (approx £3.89) USPS Media MailTM.
Located in: Laredo, Texas, United States
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eBay item number:135082479650
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Item specifics
- Condition
- ISBN
- 9780471585244
About this product
Product Identifiers
Publisher
Wiley & Sons, Incorporated, John
ISBN-10
0471585246
ISBN-13
9780471585244
eBay Product ID (ePID)
603856
Product Key Features
Edition
1
Book Title
Fractal Market Analysis : Applying Chaos Theory to Investment and Economics
Number of Pages
336 Pages
Language
English
Publication Year
1994
Topic
Chaotic Behavior in Systems, Geometry / General, Investments & Securities / General
Illustrator
Yes
Genre
Mathematics, Science, Business & Economics
Book Series
Wiley Finance Ser.
Format
Hardcover
Dimensions
Item Height
1.1 in
Item Weight
20.8 Oz
Item Length
9.6 in
Item Width
6.2 in
Additional Product Features
Intended Audience
Trade
LCCN
93-028598
Dewey Edition
20
Series Volume Number
24
Dewey Decimal
332.601515
Table Of Content
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.
Synopsis
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., 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.
Item description from the seller
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