Trading on the edge
Subtitle: neural, genetic, and fuzzy systems for chaotic financial markets
By: Guido J. Deboeck, editor.
Contributors: Deboeck, Guido.
Series: Wiley finance editions
Publisher: Wiley
Published: 1994
Place of publication: New York
Language: eng
Number of pages: 377
Subjects: Finance -- Decision making -- Data processing.; Program trading (Securities) -- Data processing.; Neural networks (Computer science); Genetic algorithms.; Fuzzy logic.
Description: Only a decade ago, spreadsheets were first invented for financial applications. At the time they were considered sophisticated modeling tools. Today machine intelligence is a core concept in describing advanced technologies that can develop more sophisticated models. Neural networks, genetic algorithms, and fuzzy systems provide new opportunities for automated trading, risk, and portfolio management.

Machine learning techniques are quietly being used by investment managers for stock selection, bond pricing, foreign exchange trading, and market and bankruptcy predictions, as well as many other applications. They are the next step in the evolution of investment technology.

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Now, Trading on the Edge lets you in on this evolution. Assembled and edited by Guido J. Deboeck, a pioneer in the introduction of new technologies and financial applications of neural nets at the World Bank, this book is the product of more than a dozen authors around the globe who, over the past several years, have used these advanced technologies for investment management.

The contributions from these experts demystify the application of these techniques and explore their impact on modern finance theory and practice. Most importantly, they show you how to apply those powerful techniques to automate trading, reduce risk, and improve portfolio management.

Clearly, concisely, and in terms that traders and investment managers can relate to, this book shows how neural networks can learn complex patterns from vast quantities of data and generalize with amazing speed from learned experiences; how genetic algorithms can evolve solutions to problems in the way nature does; how fuzzy systems provide concrete solutions to problems based on vague parameters; and how nonlinear dynamics, fractal analysis, and chaos theory define order in what once were considered random changes in financial markets.
Notes: Includes bibliographical references (p. 363-371) and index.