Neural Networks in Finance

Gaining Predictive Edge in the Market

Nonfiction, Computers, Advanced Computing, Engineering, Neural Networks, General Computing, Business & Finance, Economics
Cover of the book Neural Networks in Finance by Paul D. McNelis, Elsevier Science
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Author: Paul D. McNelis ISBN: 9780080479651
Publisher: Elsevier Science Publication: January 20, 2005
Imprint: Academic Press Language: English
Author: Paul D. McNelis
ISBN: 9780080479651
Publisher: Elsevier Science
Publication: January 20, 2005
Imprint: Academic Press
Language: English

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

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

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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