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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.
- Sales Rank: #1726278 in Books
- Brand: Brand: Probus Pub Co
- Published on: 1992-10
- Original language: English
- Number of items: 1
- Dimensions: 9.25" h x 6.00" w x 1.50" l,
- Binding: Hardcover
- 400 pages
- Used Book in Good Condition
Amazon.com 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
Most helpful customer reviews
16 of 18 people found the following review helpful.
An excellent research reference on the subject
By A Customer
This book is an excellent book on the application of Neural networks to the financial world. This is a collection of articles for the knowledgeable in the area of finacial investments and Neural Networks. With this in mind this book constitutes an excellent reference book to any graduate course in any finance dept to apply intelligent decision making to financial estimates and investments. It is a reference book for all those out there who are thinking about doing research in this area. Both authors have written lots of publications in the area and that is a plus. Even though this book is getting to be little bit old, a new book coming out by the by the same first author and the same company seems to be an updated review on the subject and promises to become a reference too. Excellent refence!
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