Genetic Algorithms and Genetic Programming in Computational Finance
Shu-Heng Chen
- 出版商: Kluwer Academic Publ
- 出版日期: 2002-07-31
- 售價: $1,050
- 貴賓價: 9.8 折 $1,029
- 語言: 英文
- 頁數: 489
- 裝訂: Hardcover
- ISBN: 0792376013
- ISBN-13: 9780792376019
-
相關分類:
Algorithms-data-structures
無法訂購
買這商品的人也買了...
-
$500$395 -
$420$378 -
$680$537 -
$480$374 -
$2,360$2,242 -
$1,890$1,796 -
$1,050$1,029 -
$480$432 -
$1,050$1,029 -
$620$558 -
$650$553 -
$760$600 -
$590$466 -
$980$960 -
$750$675 -
$560$504 -
$2,210$2,100 -
$990$782 -
$600$474 -
$4,550$4,323 -
$880$695 -
$650$507 -
$380$300 -
$380$300 -
$650$507
商品描述
After a decade of development, genetic algorithms
and genetic programming have become a widely accepted toolkit for computational
finance. Genetic Algorithms and Genetic Programming in Computational
Finance is a pioneering volume devoted entirely to a systematic and
comprehensive review of this subject. Chapters cover various areas of
computational finance, including financial forecasting, trading strategies
development, cash flow management, option pricing, portfolio management,
volatility modeling, arbitraging, and agent-based simulations of artificial
stock markets. Two tutorial chapters are also included to help readers quickly
grasp the essence of these tools. Finally, a menu-driven software program,
Simple GP, accompanies the volume, which will enable readers without a strong
programming background to gain hands-on experience in dealing with much of the
technical material introduced in this work.