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Neural Networks in Finance and Investing: Using Artificial Intelligence to Improve Real-World Performance - Hardcover
Synopsis
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.
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Review
This is a revised and expanded edition of the first-ever book focusing on financial applications of neural networks. This widely-acclaimed classic provides portfolio managers, institutional investors, bankers, and analysts with a comprehensive and fascinating introduction to this important technology and numerous insights into its most effective use.
The promise of computers has always been their ability to extend the capacity of human mental processes. Nowhere is that promise more fully realized than in neural networks and in no field are the implications of greater economic significance than finance.
Review
It belongs on the bookshelf of every financial analyst and investment manager. -- The Journal of Portfolio Management
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Neural Networks in Finance and Investing: Using Artificial Intelligence to Improve Real-World Performance
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Neural Networks in Finance and Investing: Using Artificial Intelligence to Improve Real-World Performance Trippi, Robert R. and Turban, Efraim
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