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Computational Finance 1999
     

Computational Finance 1999

by Yaser S. Abu-Mostafa (Editor), Blake LeBaron (Editor), Andrew W. Lo (Editor), Andreas S. Weigend (Editor)
 

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Computational finance, an exciting new cross-disciplinary research area, draws extensively on the tools and techniques of computer science, statistics, information systems, and financial economics. This book covers the techniques of data mining, knowledge discovery, genetic algorithms, neural networks, bootstrapping, machine learning, and Monte Carlo simulation. These

Overview

Computational finance, an exciting new cross-disciplinary research area, draws extensively on the tools and techniques of computer science, statistics, information systems, and financial economics. This book covers the techniques of data mining, knowledge discovery, genetic algorithms, neural networks, bootstrapping, machine learning, and Monte Carlo simulation. These methods are applied to a wide range of problems in finance, including risk management, asset allocation, style analysis, dynamic trading and hedging, forecasting, and option pricing. The book is based on the sixth annual international conference Computational Finance 1999, held at New York University's Stern School of Business.

Product Details

ISBN-13:
9780262011785
Publisher:
MIT Press
Publication date:
05/01/2000
Pages:
733
Product dimensions:
6.90(w) x 9.00(h) x 1.40(d)
Age Range:
18 Years

Meet the Author

Blake LeBaron is Assistant Professor of Economics at the University of Wisconsin, Madison.

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