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Neural Networks And The Financial Markets Book

Neural Networks And The Financial Markets
Neural Networks And The Financial Markets, 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 in, Neural Networks And The Financial Markets has a rating of 3 stars
   2 Ratings
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Neural Networks And The Financial Markets, 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 in, Neural Networks And The Financial Markets
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  • Neural Networks And The Financial Markets
  • Written by author J. Shadbolt
  • Published by Springer-Verlag New York, LLC, September 2002
  • 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 in
  • 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 turne
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List of Contributors
Pt. IIntroduction to Prediction in the Financial Markets
1Introduction to the Financial Markets3
2Univariate and Multivariate Time Series Predictions11
3Evidence of Predictability in Financial Markets23
4Bond Pricing and the Yield Curve35
5Data Selection41
Pt. IITheory of Prediction Modelling
6General Form of Models of Financial Markets49
7Overfitting Generalisation and Regularisation55
8The Bootstrap, Bagging and Ensembles61
9Linear Models69
10Input Selection77
Pt. IIITheory of Specific Prediction Models87
11Neural Networks87
12Learning Trading Strategies for Imperfect Markets95
13Dynamical Systems Perspective and Embedding109
14Vector Machines117
15Bayesian Methods and Evidence123
Pt. IVPrediction Model Applications
16Yield Curve Modelling133
17Predicting Bonds Using the Linear Relevance Vector Machine145
18Artificial Neural Networks157
19Adaptive Lag Networks167
20Network Integration175
21Cointegration181
22Joint Optimisation in Statistical Arbitrage Trading193
23Univariate Modelling203
24Combining Models211
Pt. VOptimising and Beyond
25Portfolio Optimisation221
26Multi-Agent Modelling247
27Financial Prediction Modelling: Summary and Future Avenues253
Further Reading259
References261
Index269


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Neural Networks And The Financial Markets, 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 in, Neural Networks And The Financial Markets

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Neural Networks And The Financial Markets, 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 in, Neural Networks And The Financial Markets

Neural Networks And The Financial Markets

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Neural Networks And The Financial Markets, 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 in, Neural Networks And The Financial Markets

Neural Networks And The Financial Markets

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