Metaheuristics for Portfolio Optimization
An Introduction using MATLAB
-
- ¥22,800
-
- ¥22,800
発行者による作品情報
The book is a monograph in the cross disciplinary area of Computational Intelligence in Finance and elucidates a collection of practical and strategic Portfolio Optimization models in Finance, that employ Metaheuristics for their effective solutions and demonstrates the results using MATLAB implementations, over live portfolios invested across global stock universes. The book has been structured in such a way that, even novices in finance or metaheuristics should be able to comprehend and work on the hybrid models discussed in the book.
ジャンル
コンピュータ／インターネット
発売日
2017年
12月27日
言語
EN
英語
ページ数
320
ページ
発行者
Wiley
販売元
John Wiley & Sons, Inc.
サイズ
22.3
MB
Big Data Science in Finance
2021年
Evolutionary Computation
2016年
SUPORT VECTOR MACHINES FOR CHURN PREDICTION IN THE MOBILE TELECOMMUNICATIONS INDUSTRY
2020年
Evolutionary Computation with Biogeography-based Optimization
2017年
Decomposition-based Evolutionary Optimization in Complex Environments
2020年
Handbook of Heavy-Tailed Distributions in Asset Management and Risk Management
2019年