Chaos Theory in the Financial Markets / Edition 1

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Overview

Chaos theory is a revolutionary approach to understanding and forecasting the behavior of complex systems. The theory, which utilizes nonlinear mathematics to identify the underlying rules of evolving systems, provides extraordinary insights into the dynamics of the financial markets. In so doing, Dr. Chorafas explores a variety of new approaches that provide an entirely new perspective on financial market analysis and forecasting. Topics include: the concepts and mathematics of chaos theory; using nonlinear equations and fractals to forecast the currency market; genetic algorithms and neural networks.

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Product Details

  • ISBN-13: 9781557385550
  • Publisher: McGraw-Hill Companies, The
  • Publication date: 3/1/1994
  • Edition number: 1
  • Pages: 400
  • Product dimensions: 6.30 (w) x 9.30 (h) x 1.21 (d)

Meet the Author

McGraw-Hill authors represent the leading experts in their fields and are dedicated to improving the lives, careers, and interests of readers worldwide

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Table of Contents

List of Figures and Tables
Foreword
Foreword
Preface
Acknowledgments
Pt. 1 Introduction to Complexity Theory 1
1 Implementing Chaos Theory in Financial Markets 3
2 Organization, Evolution, and the Edge of Chaos 33
3 Fundamental Notions Underlying the Theory of Complexity and Its Mathematics 59
4 NonLinear Equations and Fractals Underpinning Chaos Theory 89
Pt. 2 From Genetic Algorithms to Fuzzy Engineering 125
5 The Essence of Genetic Algorithms and their Implementation 127
6 Predictors, Simulators, and Artificial Life at Santa Fe Institute 157
7 Non-Traditional Financial Analysis at MIT 187
8 Using Fuzzy Engineering in Financial Environments 217
Pt. 3 Implementing Advanced Financial Analysis 247
9 Dealing with Uncertainty in the Financial Markets 249
10 Case Studies on How to Apply Fuzzy Engineering 281
11 Using the Monte Carlo Method in Financial Analysis 315
12 Can We Reach the Goal of Managing Complexity? 343
Index 373
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