Computational Finance 1999 PDF
Edited by Yaser S. Abu-Mostafa, Blake LeBaron, Andrew W. Lo, Andreas S. Weigend
Part of the The MIT Press series
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Description
This book covers the techniques of data mining, knowledge discovery, genetic algorithms, neural networks, bootstrapping, machine learning, and Monte Carlo simulation.
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.
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Download Now
- Format:PDF
- Pages:734 pages
- Publisher:The MIT Press
- Publication Date:24/04/2000
- Category:
- ISBN:9780262266741
Information
-
Download Now
- Format:PDF
- Pages:734 pages
- Publisher:The MIT Press
- Publication Date:24/04/2000
- Category:
- ISBN:9780262266741
