Fractal Market Analysis: Applying Chaos Theory to Investment and EconomicsISBN: 978-0-471-58524-4
Hardcover
336 pages
February 1994
 This is a Print-on-Demand title. It will be printed specifically to fill your order. Please allow an additional 10-15 days delivery time. The book is not returnable.
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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.
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.
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