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Intelligent Financial Portfolio Composition based on Evolutionary Computation Strategies
Gorgulho, Antonio; Neves, Rui F. M. F.; Horta, Nuno
€ 74.08
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Description for Intelligent Financial Portfolio Composition based on Evolutionary Computation Strategies
paperback. Series: SpringerBriefs in Applied Sciences and Technology/ SpringerBriefs in Computational Intelligence. Num Pages: 88 pages, 15 black & white illustrations, 15 colour illustrations, biography. BIC Classification: KFFM; PBUD; UYQ. Category: (P) Professional & Vocational. Dimension: 235 x 155 x 10. Weight in Grams: 153.
The management of financial portfolios or funds constitutes a widely known problematic in financial markets which normally requires a rigorous analysis in order to select the most profitable assets. This subject is becoming popular among computer scientists which try to adapt known Intelligent Computation techniques to the market’s domain. This book proposes a potential system based on Genetic Algorithms, which aims to manage a financial portfolio by using technical analysis indicators. The results are promising since the approach clearly outperforms the remaining approaches during the recent market crash.
The management of financial portfolios or funds constitutes a widely known problematic in financial markets which normally requires a rigorous analysis in order to select the most profitable assets. This subject is becoming popular among computer scientists which try to adapt known Intelligent Computation techniques to the market’s domain. This book proposes a potential system based on Genetic Algorithms, which aims to manage a financial portfolio by using technical analysis indicators. The results are promising since the approach clearly outperforms the remaining approaches during the recent market crash.
Product Details
Format
Paperback
Publication date
2012
Publisher
Springer Germany
Number of pages
88
Condition
New
Series
SpringerBriefs in Applied Sciences and Technology/ SpringerBriefs in Computational Intelligence
Number of Pages
77
Place of Publication
Berlin, Germany
ISBN
9783642329883
SKU
V9783642329883
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
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