Fractal Market Analysis by Edgar E.Peters
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. Also
Table of Contents
FRACTAL TIME SERIES.
Failure of the Gaussian Hypothesis. Also
A Fractal Market Hypothesis.
FRACTAL (R/S) ANALYSIS.
Measuring Memory–The Hurst Process and R/S Analysis. Also
Testing R/S Analysis.
Finding Cycles: Periodic and Nonperiodic. Also
APPLYING FRACTAL ANALYSIS.
Case Study Methodology.
Dow Jones Industrials, 1888-1990: An Ideal Data Set. Also
S&P 500 Tick Data, 1989-1992: Problems with Oversampling.
Volatility: A Study in Antipersistence.
Problems with Undersampling: Gold and U.K. Also
Inflation.
Currencies: A True Hurst Process. Also
FRACTAL NOISE.
Fractional Noise and R/S Analysis.
Fractal Statistics. Also
Applying Fractal Statistics.
NOISY CHAOS.
Noisy Chaos and R/S Analysis. Also
Fractal Statistics, Noisy Chaos, and the FMH.
Understanding Markets. Also
Appendices.
Bibliography. Also
Glossary.
Index. Also
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Course Features
- Lectures 0
- Quizzes 0
- Duration 30 hours
- Skill level All levels
- Language English
- Students 97
- Assessments Yes