Monday 29 November 2010

Neural Networks in Finance

Neural Networks in Finance



Neural Networks in Finance: Gaining Predictive Edge in the Market (Academic Press Advanced Finance)



This book explores the intuitive appeal of neural networks and the genetic algorithm in finance. Get and download textbook Neural Networks in Finance: Gaining Predictive Edge in the Market (Academic Press Advanced Finance) for free
Categories: Finance->Data processing, Neural networks (Computer science). Contributors: Paul D. McNelis - Author. Format: Hardcover
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 Neural Networks in Finance new edition

Download free books for Neural Networks in Finance: Gaining Predictive Edge in the Market


Neural Networks in Finance: Gaining Predictive Edge in the Market: Paul D. Mcnelis

Categories: Finance->Data processing, Neural networks (Computer science). Contributors: Paul D. McNelis - Author. Format: Hardcover

Buy Neural Networks in Finance by Paul D. McNelis and Read this Book on Kobo's Free Apps. Discover Kobo's Vast Collection of Ebooks Today - Over 3 Million Titles, Including 2 Million Free Ones!

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



Neural Networks in Finance Textbook


It demonstrates how neural networks used in combination with evolutionary computation outperform classical econometric methods for accuracy in forecasting, classification and dimensionality reduction


* Offers a balanced, critical review of the neural network methods and genetic algorithms used in finance
* Includes

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