Neural Networks in Finance is popular PDF and ePub book, written by Paul D. McNelis in 2005-01-05, it is a fantastic choice for those who relish reading online the Business & Economics genre. Let's immerse ourselves in this engaging Business & Economics book by exploring the summary and details provided below. Remember, Neural Networks in Finance can be Read Online from any device for your convenience.
Neural Networks in Finance Book PDF Summary
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
Detail Book of Neural Networks in Finance PDF
- Author : Paul D. McNelis
- Release : 05 January 2005
- Publisher : Academic Press
- ISBN : 9780124859678
- Genre : Business & Economics
- Total Page : 262 pages
- Language : English
- PDF File Size : 10,8 Mb
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