Item description for Decision Technologies for Financial Engineering: Proceedings of the Fourth International Conference on Neural Networks in the Capital Markets by International Conference on Neural Networks in the Capital Markets 199, Andreas S. Weigend, Yaser S. Abu-Mostafa & Apostolos-Paul Refenes...
The areas of the papers in this volume include price forecasting for stocks, bonds, commodities, & foreign exchange; asset collection & risk management; volatility analysis & pricing derivatives, cointegration, correlation, & multivariate data analysis; credit assessment & economic forecasting; statistical methods, learning techniques, and hybrid systems
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Studio: World Scientific Publishing Company
Est. Packaging Dimensions: Length: 9" Width: 6.25" Height: 1.25" Weight: 1.7 lbs.
Release Date Jan 15, 1997
Publisher World Scientific Publishing Company
ISBN 9810231237 ISBN13 9789810231231
Availability 0 units.
More About International Conference on Neural Networks in the Capital Markets 199, Andreas S. Weigend, Yaser S. Abu-Mostafa & Apostolos-Paul Refenes
Reviews - What do customers think about Decision Technologies for Financial Engineering: Proceedings of the Fourth International Conference on Neural Networks in the Capital Markets?
The future in the present May 15, 2000
This is the best way to invest in markets in the present! Using the neural technology to teach your PC investing by you. You only need to be a good teacher. This book will help you for sure...
Advanced info for those wishing to model the Stock Market Apr 3, 2000
This book contains 33 articles some of which discuss using Neural Network models to predict the direction of the Stock Market on a short term basis (see table of contents on hardcover version). For those of you who are targeting long term results exclusively, you may want to look elsewhere. What I liked about the book, is that the articles are very specific, and they follow the format of A. Here is my idea for a model, B. This is how I tested it, and C. Here are my results, with plots. Some of the book is easy reading while other articles are more difficult and require some knowledge of calculus and probability. Most of the articles assume some knowedge of statistics. The writers and editors are well known in their field. Some are professors from business schools, others are from investment comapanies, and some are have an engineering or physics background. No lightweights from what I can tell.
If you are serious about modeling the market using your computer (and making money on your investments) then this book may help you do that. It is a serious book for academically oriented individuals. It has none of the fluff usually contained in consumer targeted books (aka - get rich tomorrow with my new stock picking plan...). One thing I didn't like about it is the smaller print on some of the articles, but this was not a big factor in my decision to buy it. When I saw this book it only took me a few minutes to decide that I was not leaving the store without it.