Description
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.
Détails du livre
Format
Relié
Pages
650 pages
Langue
Anglais
Publié
mai 1, 2000
Éditeur
MIT Press (MA)
Éditions
2 éditions
ISBN-10
0262011786
ISBN-13
9780262011785