Neural networks in finance and investing : using artificial intelligence to improve real-world performance

Bibliographic Information

Neural networks in finance and investing : using artificial intelligence to improve real-world performance

Robert R. Trippi, Efraim Turban, editors

Probus Pub. Co., c1993

Available at  / 5 libraries

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Note

"A collection of survey and research articles"--Pref

Includes bibliographical references and indexes

Description and Table of Contents

Description

Many believe that neural networks will eventually out-perform even the best traders and investors, yet this extraordinary technology remained largely inaccessible to practitioners--prior to this landmark text. Nowhere else will you find such a thorough and relevant examination of the applications and potential of this cutting-edge technology. This book not only contains many examples of neural networks for prediction and risk assessment, but provides promising systems for forecasting and explaining price movements of stocks and securities. Sections include neural network overview; analysis of financial condition; business failure prediction; debt risk assessment; security market applications; and neural network approaches to financial forecasting.

by "Nielsen BookData"

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