Item description for Ordinary Shares. Exotic Methods: Financial Forecasting Using Data Mining Techniques by Francis E. H. Tay, Francis Tay Eng Hock, Lixiang Shen, Lijuan Cao, Christele Jany, Yuki Ameda, Glenn Barr & Kevin Nowlan...
Exotic methods refer to specific functions within general soft computing methods such as genetic algorithms, neural networks and rough sets theory. They are applied to ordinary shares for a variety of financial purposes, such as portfolio selection and optimization, classification of market states, forecasting of market states and data mining. This is in contrast to the wide spectrum of work done on exotic financial instruments, wherein advanced mathematics is used to construct financial instruments for hedging risks and for investment.
In this book, particular aspects of the general method are used to create interesting applications. For instance, genetic niching produces a family of portfolios for the trader to choose from. Support vector machines, a special form of neural networks, forecast the financial markets; such a forecast is on market states, of which there are three uptrending, mean reverting and downtrending. A self-organizing map displays in a vivid manner the states of the market. Rough sets with a new discretization method extract information from stock prices.
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Studio: World Scientific Publishing Company
Est. Packaging Dimensions: Length: 0.5" Width: 6.25" Height: 9.25" Weight: 0.88 lbs.
Release Date Apr 1, 2003
Publisher World Scientific Publishing Co Pte Ltd
ISBN 9812380752 ISBN13 9789812380753
Availability 0 units.
More About Francis E. H. Tay, Francis Tay Eng Hock, Lixiang Shen, Lijuan Cao, Christele Jany, Yuki Ameda, Glenn Barr & Kevin Nowlan
Reviews - What do customers think about Ordinary Shares. Exotic Methods: Financial Forecasting Using Data Mining Techniques?
I want my money back ! Apr 11, 2004
I hadn't read the clumsy book description, or I would have chosen another book. Now I own a booklet in which a description of three data mining methods, having been applied to finance, which is what I was looking for. The articles however, seem to have been written in a hurry, and contain just too little information to enable me (econometrician with ample statistical and programming knowledge) to apply the methods myself. Useless ! I want my money back ( d'you hear, World Scientific ? )!