Neural Networks and the Financial Markets - Predicting, Combining and Portfolio Optimisation (Paperback, 2002 ed.)

This volume looks at financial prediction from a broad range of perspectives. It covers: - the economic arguments - the practicalities of the markets - how predictions are used - how predictions are made - how predictions are turned into something usable (asset locations) It combines a discussion of standard theory with state-of-the-art material on a wide range of information processing techniques as applied to cutting-edge financial problems. All the techniques are demonstrated with real examples using actual market data, and show that it is possible to extract information from very noisy, sparse data sets. Aimed primarily at researchers in financial prediction, time series analysis and information processing, this book will also be of interest to quantitative fund managers and other professionals involved in financial prediction.

General

Imprint:	Springer London
Country of origin:	United Kingdom
Series:	Perspectives in Neural Computing
Release date:	August 2002
First published:	2002
Authors:	Jimmy Shadbolt
Dimensions:	235 x 155 x 15mm (L x W x T)
Format:	Paperback
Pages:	273
Edition:	2002 ed.
ISBN-13:	978-1-85233-531-1
Categories:	Books > Computing & IT > Applications of computing > Artificial intelligence > Neural networks Books > Business & Economics > Finance & accounting > Finance > Investment & securities > General Books > Money & Finance > Investment & securities > General Promotions
LSN:	1-85233-531-9
Barcode:	9781852335311

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