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Item Details
Title:
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NEURAL NETWORKS AND THE FINANCIAL MARKETS
PREDICTING, COMBINING AND PORTFOLIO OPTIMISATION |
By: |
Jimmy Shadbolt |
Format: |
Paperback |

List price:
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£129.99 |
We currently do not stock this item, please contact the publisher directly for
further information.
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ISBN 10: |
1852335319 |
ISBN 13: |
9781852335311 |
Publisher: |
SPRINGER LONDON LTD |
Pub. date: |
6 August, 2002 |
Edition: |
2002 ed. |
Series: |
Perspectives in Neural Computing |
Pages: |
273 |
Description: |
Looks at how research into predicting the financial markets has progressed. This book describes the financial markets and asks whether they are indeed predictable, given the number of possible economic and financial variables. It surveys prediction models and looks at how these can be refined so as to provide the best prediction. |
Synopsis: |
This is abook about the methods developed byour research team,over a period of 10years, for predicting financial market returns. Thework began in late 1991,at a time when one ofus (Jimmy Shadbolt) had just completed a rewrite of the software used at Econostat by the economics team for medium-term trend prediction of economic indica- tors.Looking for anewproject,itwassuggestedthatwelook atnon-linear modelling of financial markets, and that a good place to start might be with neural networks. One small caveat should be added before we start: we use the terms "prediction" and "prediction model" throughout the book, although, with only such a small amount of information being extracted about future performance, can we really claim to be building predictors at all? Some might saythat the future ofmarkets, especially one month ahead, is too dim to perceive. We think we can claim to "predict" for two reasons. Firstlywedoindeedpredictafewper cent offuturevalues ofcertainassets in terms ofpast values ofcertainindicators, asshown by our trackrecord. Secondly, we use standard and in-house prediction methods that are purely quantitative.Weallow no subjective viewto alter what the models tell us. Thus weare doing prediction, even if the problem isvery hard. So while we could throughout the book talk about "getting a better view of the future" or some such euphemism, we would not be correctly describing what it isweare actually doing. Weare indeed getting abetter view of the future, by using prediction methods. |
Illustrations: |
XIV, 273 p. |
Publication: |
UK |
Imprint: |
Springer London Ltd |
Returns: |
Returnable |
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