Neural Networks in the Capital Markets

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Publisher : Wiley
ISBN 13 : 9780471943648
Total Pages : 392 pages
Book Rating : 4.49/5 ( download)

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Book Synopsis Neural Networks in the Capital Markets by : Apostolos-Paul Refenes

Download or read book Neural Networks in the Capital Markets written by Apostolos-Paul Refenes and published by Wiley. This book was released on 1995-03-28 with total page 392 pages. Available in PDF, EPUB and Kindle. Book excerpt: Based on original papers which represent new and significant research, developments and applications in finance and investment. The author takes a pragmatic view of neural networks, treating them as computationally equivalent to well-understood, non-parametric inference methods in decision science. The author also makes comparisons with established techniques where appropriate.

Neural Networks in Financial Engineering

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Publisher : World Scientific Publishing Company Incorporated
ISBN 13 : 9789810228194
Total Pages : 634 pages
Book Rating : 4.98/5 ( download)

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Book Synopsis Neural Networks in Financial Engineering by : Apostolos-Paul Refenes

Download or read book Neural Networks in Financial Engineering written by Apostolos-Paul Refenes and published by World Scientific Publishing Company Incorporated. This book was released on 1996 with total page 634 pages. Available in PDF, EPUB and Kindle. Book excerpt: Neural networks can be used for improving investment performance in the financial markets. The papers in this volume aim to give investment managers, institutional investors and analysts a comprehensive look at the most profitable applications of this tech

Neural Networks in Finance

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Publisher : Academic Press
ISBN 13 : 0124859674
Total Pages : 262 pages
Book Rating : 4.78/5 ( download)

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Book Synopsis Neural Networks in Finance by : Paul D. McNelis

Download or read book Neural Networks in Finance written by Paul D. McNelis and published by Academic Press. This book was released on 2005-01-05 with total page 262 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Neural Networks and the Financial Markets

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Publisher : Springer Science & Business Media
ISBN 13 : 1447101510
Total Pages : 266 pages
Book Rating : 4.12/5 ( download)

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Book Synopsis Neural Networks and the Financial Markets by : Jimmy Shadbolt

Download or read book Neural Networks and the Financial Markets written by Jimmy Shadbolt and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 266 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Neural Networks in Finance

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Publisher : Elsevier
ISBN 13 : 0080479650
Total Pages : 261 pages
Book Rating : 4.51/5 ( download)

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Book Synopsis Neural Networks in Finance by : Paul D. McNelis

Download or read book Neural Networks in Finance written by Paul D. McNelis and published by Elsevier. This book was released on 2005-01-20 with total page 261 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

International Conference on Neural Networks in the Capital Markets

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Publisher :
ISBN 13 :
Total Pages : pages
Book Rating : 4.75/5 ( download)

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Book Synopsis International Conference on Neural Networks in the Capital Markets by :

Download or read book International Conference on Neural Networks in the Capital Markets written by and published by . This book was released on 1996 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Neural Networks in the Capital Markets

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Publisher :
ISBN 13 :
Total Pages : 18 pages
Book Rating : 4.86/5 ( download)

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Book Synopsis Neural Networks in the Capital Markets by : Christian Häfke

Download or read book Neural Networks in the Capital Markets written by Christian Häfke and published by . This book was released on 1995 with total page 18 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Neural Network Solutions for Trading in Financial Markets

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Publisher : Pitman Publishing
ISBN 13 :
Total Pages : 274 pages
Book Rating : 4.16/5 ( download)

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Book Synopsis Neural Network Solutions for Trading in Financial Markets by : Dirk Emma Baestaens

Download or read book Neural Network Solutions for Trading in Financial Markets written by Dirk Emma Baestaens and published by Pitman Publishing. This book was released on 1994 with total page 274 pages. Available in PDF, EPUB and Kindle. Book excerpt: Offers an alternative technique in forecasting to the traditional techniques used in trading and dealing. The book explains the shortcomings of traditional techniques and shows how neural networks overcome many of the disadvantages of these traditional systems.

Neural Networks in the Capital Markets

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Publisher :
ISBN 13 :
Total Pages : pages
Book Rating : 4.35/5 ( download)

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Book Synopsis Neural Networks in the Capital Markets by : A. N Refenes

Download or read book Neural Networks in the Capital Markets written by A. N Refenes and published by . This book was released on 1993 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Proceedings of Neural Networks in the Capital Markets, Pasadena, California, November 16-18, 1994

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Publisher :
ISBN 13 :
Total Pages : pages
Book Rating : 4.91/5 ( download)

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Book Synopsis Proceedings of Neural Networks in the Capital Markets, Pasadena, California, November 16-18, 1994 by : California Institute of Technology

Download or read book Proceedings of Neural Networks in the Capital Markets, Pasadena, California, November 16-18, 1994 written by California Institute of Technology and published by . This book was released on 1994 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: