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Neural networks in finance : gaining predictive edge in the market /
This book explores the intuitive appeal of neural networks and the genetic algorithm in finance. It demonstrates how neural networks used in combination with evolutionary computation outperform classical econometric methods for accuracy in forecasting, classification and dimensionality reduction. Mc...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Burlington, MA :
Elsevier Academic Press,
©2005.
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| Colección: | Academic Press advanced finance series.
|
| Temas: | |
| Acceso en línea: | Texto completo Texto completo |
MARC
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| 100 | 1 | |a McNelis, Paul D. | |
| 245 | 1 | 0 | |a Neural networks in finance : |b gaining predictive edge in the market / |c Paul D. McNelis. |
| 260 | |a Burlington, MA : |b Elsevier Academic Press, |c ©2005. | ||
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| 504 | |a Includes bibliographical references pages (221-231). | ||
| 588 | 0 | |a Print version record. | |
| 505 | 0 | |a Preface; 1. Introduction; 2. What Are Neural Networks; 3. Estimation of a Network with Evolutionary Computation; 4. Evaluation of Network Estimation; 5. Estimation and Forecasting with Artificial Data; 6. Times Series: Examples from Industry and Finance; 7. Inflation and Deflation: Hong Kong and Japan; 8. Classification: Credit Card Default and Bank Failures; 9. Dimensionality Reduction and Implied Volatility Forecasting. | |
| 520 | |a This book explores the intuitive appeal of neural networks and the genetic algorithm in finance. It demonstrates how neural networks used in combination with evolutionary computation outperform classical econometric methods for accuracy in forecasting, classification and dimensionality reduction. McNelis utilizes a variety of examples, from forecasting automobile production and corporate bond spread, to inflation and deflation processes in Hong Kong and Japan, to credit card default in Germany to bank failures in Texas, to cap-floor volatilities in New York and Hong Kong. * Offers a balanced, critical review of the neural network methods and genetic algorithms used in finance * Includes numerous examples and applications * Numerical illustrations use MATLAB code and the book is accompanied by a website. | ||
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| 650 | 0 | |a Neural networks (Computer science) | |
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| 650 | 6 | |a Finances |x Prise de décision |x Informatique. | |
| 650 | 6 | |a Réseaux neuronaux (Informatique) | |
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