Fractal Market Analysis: Applying Chaos Theory to Investment and Economics

Capa
John Wiley & Sons, 8 de fev. de 1994 - 336 páginas
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.
 

Conteúdo

Failure of the Gaussian Hypothesis
18
A Fractal Market Hypothesis
39
Summary
49
Measuring MemoryThe Hurst Process and RS Analysis
53
Testing RS Analysis
65
Periodic and Nonperiodic
86
Case Study Methodology
107
Problems with
132
ARFIMA Models
188
Summary
196
Applying Fractal Statistics
217
Noisy Chaos and RS Analysis
235
Distinguishing Noisy Chaos from Fractional Noise
246
Fractal Statistics Noisy Chaos and the FMH
252
Understanding Markets
271
The Chaos Game
277

Implications
141
A Study in Antipersistence
143
Gold and U K Inflation
151
A True Hurst Process
159
Fractional Noise and RS Analysis
169
Fractal Distribution Tables
287
Bibliography
296
Glossary
306
Index
313
Direitos autorais

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Termos e frases comuns

Passagens mais conhecidas

Página 303 - Bias in Fitting the Sharpe Model to Time Series Data," Journal of Financial and Quantitative Analysis, September 1969.

Sobre o autor (1994)

EDGAR E. PETERS is an expert on chaos theory and its financial applications. He is Chief Investment Strategist and Director of Systematic Asset Allocation for PanAgora Asset Management, Inc., 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. In addition to the first edition of Chaos and Order in the Capital Markets, he is the author of Fractal Market Analysis and numerous articles in professional journals.

Informações bibliográficas