Intelligent Systems and Financial Forecasting [Paperback]

Jason Kingdon (Author)

Book Description

ISBN-10: 3540760989 | ISBN-13: 978-3540760986 | Publication Date: January 15, 1997 | Edition: 1

This book examines the design of an automated system for financial time series forecasting. It explores the level of automation which can be achieved by a system for modelling a given financial time series with the minimum of human intervention. It aims to help the reader understand the issues involved in setting neural network, or genetic algorithm parameters, and to develop methods to deal with the problems they raise in a practical manner. Intelligent Systems and Financial Forecasting will provide invaluable reading material for academic and industrial researchers (particularly those with an interest in the application of adaptive system technology), information technology consultants applying adaptive system techniques, and graduate/postgraduate students in machine learning, AI, business modelling and finance.

Product Details

• Paperback: 227 pages
• Publisher: Springer; 1 edition (January 15, 1997)
• Language: English
• ISBN-10: 3540760989
• ISBN-13: 978-3540760986
• Product Dimensions: 9.3 x 6.1 x 0.6 inches
• Shipping Weight: 12 ounces
• Average Customer Review: 4.5 out of 5 stars  See all reviews (2 customer reviews)
• Amazon Best Sellers Rank: #3,174,947 in Books (See Top 100 in Books)

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Customer Reviews

Most Helpful Customer Reviews

4 of 4 people found the following review helpful:

4.0 out of 5 stars A good book for researchers., May 3, 1998

By A Customer

This review is from: Intelligent Systems and Financial Forecasting (Paperback)

This is a good book, but potential buyers should realize that it is aimed at researchers, not traders. It would take considerable work to rediscover the successful neural net discussed in the book, and there is no guarantee that the net would do well in real trading because the author does not seem to have taken slippage and commissions into account.

4 of 4 people found the following review helpful:

5.0 out of 5 stars Good exposition of AI and a financial application, October 3, 1997

By A Customer

This review is from: Intelligent Systems and Financial Forecasting (Paperback)

This book contains a number of new and interesting insights into the application of neural networks and genetic algorithms for finance. The idea of using "network regression pruning" looks extremely powerful and it would be very interesting to see this compared with other network pruning techniques. An aspect also worth highlighting is the detailed treatment of the financial experiments which appear to have been conducted in a rigorous and careful manner. I have attended many seminars and talks in which the experimentation for financial applications has been extremely poor. In many instances there is a failure to establish objective test criteria. In this work a single test run on ten years' worth of data is conducted and the algorithm performs well, contradicting all forms of the efficient market hypothesis. The level of detail also allows the reader to reconstruct the algorithm and methods for their own use. Other books on this subject should be as clear and as open.