DocumentCode :
1495743
Title :
Practical applications of evolutionary computation to financial engineering: robust techniques for forecasting, trading, and hedging (iba, h. and aranha, c.c.; 2012)[book review]
Author :
Lipinski, P.
Author_Institution :
Institute of Computer Science, University of Wroclaw, Wroclaw, 50-383, Poland
Volume :
7
Issue :
2
fYear :
2012
fDate :
5/1/2012 12:00:00 AM
Firstpage :
75
Lastpage :
76
Abstract :
Although computational intelligence is often applied to financial engineering, there are still very few books related to this topic. Most of them are either edited books or advanced monographies intended for academics and computer scientists rather than practitioners and financial engineers. This book bridges the gap between academics and practitioners. It should be comprehensible not only for computer scientists interested in some applications, =but also for financial experts or even market traders interested in advanced methods of automated trading and new tools for market analysis. This book presents a systematic framework for a few significant problems in financial engineering with some evolutionary approaches to them.
Keywords :
Book reviews; Economics; Evolutionary computation; Finance; Investments; Market research;
fLanguage :
English
Journal_Title :
Computational Intelligence Magazine, IEEE
Publisher :
ieee
ISSN :
1556-603X
Type :
jour
DOI :
10.1109/MCI.2012.2188593
Filename :
6183735
Link To Document :
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