Kniha Genetic Algorithms and Genetic Programming in Computational Finance hu-Heng Chen

Genetic Algorithms and Genetic Programming in Computational Finance

Autor: hu-Heng Chen
Jazyk: Angličtina
Väzba: Pevná
Vydavateľ: Springer
Dostupnosť: Skladom u dodávateľa v malom množstve
Odosielame za 13-18 dní
313.07
After a decade of development, genetic algorithms and genetic programming have become a widely accep...

Informácie o knihe

Autor
Jazyk
Angličtina
Väzba
Kniha - Pevná
Vydalo
2002
Stránok
489
EAN
9780792376019
ISBN
0792376013
Enbook ID
01397144
Vydavateľ
Hmotnosť
900
Rozmery
167 x 244 x 33

Kompletný popis

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.

Mohlo by vás zaujímať

32.98
10.86
19.96

The Admissions

Meg Mitchell Moore
14.87

On the Go

Dona Herweck Rice
17.51
187.57
22.12

Stories They Hear

William Keyes
16.34
39.54

Collected Plays

Rick Schober
14.38
57.95

Unfriend

Steven Moffat
11.44
9.98

Flat-Rolled Steel Processes

Vladimir B. Ginzburg
320.03
15.65

Zákazníci, ktorí si kúpili túto knihu, kúpili tiež

Čo robí ocko?

neuvedený autor
3.59
5.28
15.85
28.19

O Portal Dourado: Uma Aventura no Planeta Azul

Maria Elisabete Raposo Milheiro
21.82
20.45