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Metaheuristic approaches to portfoli...
~
Dey, Sadhan Kumar.
Metaheuristic approaches to portfolio optimization
Record Type:
Electronic resources : Monograph/item
Title/Author:
Metaheuristic approaches to portfolio optimizationJhuma Ray, Anirban Mukherjee, Sadhan Kumar Dey, Goran Klepacs, editors.
other author:
Ray, Jhuma,
Published:
Hershey, Pennsylvania :IGI Global,2019.
Description:
1 online resource (xviii, 263 p.)
Subject:
Portfolio managementMathematical models.
Online resource:
http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-5225-8103-1
ISBN:
9781522581048 (ebk.)
Metaheuristic approaches to portfolio optimization
Metaheuristic approaches to portfolio optimization
[electronic resource] /Jhuma Ray, Anirban Mukherjee, Sadhan Kumar Dey, Goran Klepacs, editors. - Hershey, Pennsylvania :IGI Global,2019. - 1 online resource (xviii, 263 p.)
Includes bibliographical references and index.
Chapter 1. Portfolio optimization and asset allocation with metaheuristics: a review -- Chapter 2. Particle swarm algorithm: an application on portfolio optimization -- Chapter 3. Bayesian networks and evolutionary algorithms as a tool for portfolio simulation and optimization -- Chapter 4. Conditional value-at-risk-based portfolio optimization: an ant colony optimization approach -- Chapter 5. Metaheuristic-based feature optimization for portfolio management -- Chapter 6. Optimizing social media data using genetic algorithm -- Chapter 7. The genetic algorithm: an application on portfolio optimization -- Chapter 8. Heuristic optimization of portfolio considering sharpe's single index model: an analytical approach -- Chapter 9. Role of metaheuristic optimization in portfolio management for the banking sector: a case study.
"This book explores the aspects of industrial portfolio management with reference to proper selection of financial instruments in a financial portfolio management scenario from a metaheuristic approach. It also illustrates the common measures used for the evaluation of risks/returns of portfolios in real life situations"--
ISBN: 9781522581048 (ebk.)Subjects--Topical Terms:
198981
Portfolio management
--Mathematical models.
LC Class. No.: HG4529.5 / .M476 2019
Dewey Class. No.: 332.6
Metaheuristic approaches to portfolio optimization
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Metaheuristic approaches to portfolio optimization
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Jhuma Ray, Anirban Mukherjee, Sadhan Kumar Dey, Goran Klepacs, editors.
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Hershey, Pennsylvania :
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IGI Global,
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2019.
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1 online resource (xviii, 263 p.)
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Includes bibliographical references and index.
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Chapter 1. Portfolio optimization and asset allocation with metaheuristics: a review -- Chapter 2. Particle swarm algorithm: an application on portfolio optimization -- Chapter 3. Bayesian networks and evolutionary algorithms as a tool for portfolio simulation and optimization -- Chapter 4. Conditional value-at-risk-based portfolio optimization: an ant colony optimization approach -- Chapter 5. Metaheuristic-based feature optimization for portfolio management -- Chapter 6. Optimizing social media data using genetic algorithm -- Chapter 7. The genetic algorithm: an application on portfolio optimization -- Chapter 8. Heuristic optimization of portfolio considering sharpe's single index model: an analytical approach -- Chapter 9. Role of metaheuristic optimization in portfolio management for the banking sector: a case study.
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"This book explores the aspects of industrial portfolio management with reference to proper selection of financial instruments in a financial portfolio management scenario from a metaheuristic approach. It also illustrates the common measures used for the evaluation of risks/returns of portfolios in real life situations"--
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Mathematical models.
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Ray, Jhuma,
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Mukherjee, Anirban,
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Dey, Sadhan Kumar.
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Klepacs, Goran.
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http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-5225-8103-1
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EB HG4529.5 .M476 2019 2019
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http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-5225-8103-1
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