Editors:
- First book-length treatment of portfolio optimization using particle swarm optimization (PSO)
- Explains PSO in detail and shows how to apply it
- Applies PSO to portfolio optimization problems in a range of areas
Part of the book series: International Series in Operations Research & Management Science (ISOR, volume 306)
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Table of contents (17 chapters)
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Front Matter
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Applying Particle Swarm Optimization to Portfolio Optimization
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Front Matter
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Different Applications of PSO
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Front Matter
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About this book
This book explains the theoretical structure of particle swarm optimization (PSO) and focuses on the application of PSO to portfolio optimization problems. The general goal of portfolio optimization is to find a solution that provides the highest expected return at each level of portfolio risk. According to H. Markowitz’s portfolio selection theory, as new assets are added to an investment portfolio, the total risk of the portfolio’s decreases depending on the correlations of asset returns, while the expected return on the portfolio represents the weighted average of the expected returns for each asset.
The book explains PSO in detail and demonstrates how to implement Markowitz’s portfolio optimization approach using PSO. In addition, it expands on the Markowitz model and seeks to improve the solution-finding process with the aid of various algorithms. In short, the book provides researchers, teachers, engineers, managers and practitioners with many tools they need to apply the PSO technique to portfolio optimization.
Editors and Affiliations
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Faculty of Transportation and Logistics, Istanbul University, Avcılar/Istanbul, Turkey
Burcu Adıgüzel Mercangöz
About the editor
Bibliographic Information
Book Title: Applying Particle Swarm Optimization
Book Subtitle: New Solutions and Cases for Optimized Portfolios
Editors: Burcu Adıgüzel Mercangöz
Series Title: International Series in Operations Research & Management Science
DOI: https://doi.org/10.1007/978-3-030-70281-6
Publisher: Springer Cham
eBook Packages: Business and Management, Business and Management (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2021
Hardcover ISBN: 978-3-030-70280-9Published: 14 May 2021
Softcover ISBN: 978-3-030-70283-0Published: 14 May 2022
eBook ISBN: 978-3-030-70281-6Published: 13 May 2021
Series ISSN: 0884-8289
Series E-ISSN: 2214-7934
Edition Number: 1
Number of Pages: XII, 351
Number of Illustrations: 75 b/w illustrations, 10 illustrations in colour
Topics: Operations Research/Decision Theory, Operations Research, Management Science, Risk Management, Statistics for Business, Management, Economics, Finance, Insurance, Capital Markets