Free Delivery on orders over $25*

      • All Products
      • Paperback
      • Hardcover
      • eBook
      • Audiobook

    Neural Networks in Finance

    By: Paul D. McNelis

    Date Released

    Out of Print

    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

    You might also like

    Accepted Payments
    QBD Proudly Supports

    Need help? Call us on (07) 3291 7444