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Neural Networks and the Financial Mar... by Shadbolt, Jimmy Paperback / softback

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Item specifics

Condition
Like New: A book that looks new but has been read. Cover has no visible wear, and the dust jacket ...
ISBN
1852335319
EAN
9781852335311
Release Title
Neural Networks and the Financial Markets: Predicting, Combini...
Artist
Shadbolt, Jimmy
Brand
N/A
Colour
N/A
Book Title
Neural Networks and the Financial Markets: Predicting, Combini...
Subject Area
Computers, Business & Economics
Publication Name
Neural Networks and the Financial Markets : Predicting, Combining and Portfolio Optimisation
Item Length
9.3 in
Publisher
Springer London, The Limited
Subject
Systems Architecture / General, Finance / Financial Engineering, Finance / General, Neural Networks, Intelligence (Ai) & Semantics
Series
Perspectives in Neural Computing Ser.
Publication Year
2002
Type
Textbook
Format
Trade Paperback
Language
English
Author
Jimmy Shadbolt, John Gerald Taylor
Item Width
6.1 in
Item Weight
31.7 Oz
Number of Pages
Xiv, 273 Pages

About this product

Product Information

This book looks at how research into predicting the financial markets has progressed in recent years. The first section of the book describes the financial markets and asks whether they are indeed predictable, given the number of possible economic and financial variables. The second section surveys existing prediction models and looks at how these can be refined so as to provide the best prediction of the market's value at the next time step i.e. in one month's time. The third and forth sections look at the theory of specific prediction models and their applications, whilst the final section discusses possible future developments i.e. so that prediction models can be made more immune to sudden global changes.

Product Identifiers

Publisher
Springer London, The Limited
ISBN-10
1852335319
ISBN-13
9781852335311
eBay Product ID (ePID)
2299226

Product Key Features

Author
Jimmy Shadbolt, John Gerald Taylor
Publication Name
Neural Networks and the Financial Markets : Predicting, Combining and Portfolio Optimisation
Format
Trade Paperback
Language
English
Subject
Systems Architecture / General, Finance / Financial Engineering, Finance / General, Neural Networks, Intelligence (Ai) & Semantics
Series
Perspectives in Neural Computing Ser.
Publication Year
2002
Type
Textbook
Subject Area
Computers, Business & Economics
Number of Pages
Xiv, 273 Pages

Dimensions

Item Length
9.3 in
Item Width
6.1 in
Item Weight
31.7 Oz

Additional Product Features

LCCN
2002-067024
Intended Audience
Scholarly & Professional
Number of Volumes
1 Vol.
Lc Classification Number
Q334-342
Table of Content
I Introduction to Prediction in the Financial Markets.- 1 Introduction to the Financial Markets.- 2 Univariate and Multivariate Time Series Predictions.- 3 Evidence of Predictability in Financial Markets.- 4 Bond Pricing and the Yield Curve.- 5 Data Selection.- II Theory of Prediction Modelling.- 6 General Form of Models of Financial Markets.- 7 Overfitting, Generalisation and Regularisation.- 8 The Bootstrap, Bagging and Ensembles.- 9 Linear Models.- 10 Input Selection.- III Theory of Specific Prediction Models.- 11 Neural Networks.- 12 Learning Trading Strategies for Imperfect Markets.- 13 Dynamical Systems Perspective and Embedding.- 14 Vector Machines.- 15 Bayesian Methods and Evidence.- IV Prediction Model Applications.- 16 Yield Curve Modelling.- 17 Predicting Bonds Using the Linear Relevance Vector Machine.- 18 Artificial Neural Networks.- 19 Adaptive Lag Networks.- 20 Network Integration.- 21 Cointegration.- 22 Joint Optimisation in Statistical Arbitrage Trading.- 23 Univariate Modelling.- 24 Combining Models.- V Optimising and Beyond.- 25 Portfolio Optimisation.- 26 Multi-Agent Modelling.- 27 Financial Prediction Modelling: Summary and Future Avenues.- Further Reading.- References.
Copyright Date
2002
Dewey Decimal
006.3/2
Dewey Edition
21
Illustrated
Yes

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