Large-Scale Portfolio Optimization Using Biogeography-Based Optimization

Portfolio optimization is a mathematical formulation whose objective is to maximize returns while minimizing risks. A great deal of improvement in portfolio optimization models has been made, including the addition of practical constraints. As the number of shares traded grows, the problem becomes d...

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Main Authors: Wendy Wijaya, Kuntjoro Adji Sidarto
Format: Article
Language:English
Published: MDPI AG 2023-10-01
Series:International Journal of Financial Studies
Subjects:
Online Access:https://www.mdpi.com/2227-7072/11/4/125
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author Wendy Wijaya
Kuntjoro Adji Sidarto
author_facet Wendy Wijaya
Kuntjoro Adji Sidarto
author_sort Wendy Wijaya
collection DOAJ
description Portfolio optimization is a mathematical formulation whose objective is to maximize returns while minimizing risks. A great deal of improvement in portfolio optimization models has been made, including the addition of practical constraints. As the number of shares traded grows, the problem becomes dimensionally very large. In this paper, we propose the usage of modified biogeography-based optimization to solve the large-scale constrained portfolio optimization. The results indicate the effectiveness of the method used.
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spelling doaj.art-c0b891b1d15649e781bc1baf1840072f2024-01-10T17:49:15ZengMDPI AGInternational Journal of Financial Studies2227-70722023-10-0111412510.3390/ijfs11040125Large-Scale Portfolio Optimization Using Biogeography-Based OptimizationWendy Wijaya0Kuntjoro Adji Sidarto1Department of Mathematics, Faculty of Mathematics and Natural Sciences, Institut Teknologi Bandung, Ganesa Street No. 10, Bandung 40132, IndonesiaDepartment of Mathematics, Faculty of Mathematics and Natural Sciences, Institut Teknologi Bandung, Ganesa Street No. 10, Bandung 40132, IndonesiaPortfolio optimization is a mathematical formulation whose objective is to maximize returns while minimizing risks. A great deal of improvement in portfolio optimization models has been made, including the addition of practical constraints. As the number of shares traded grows, the problem becomes dimensionally very large. In this paper, we propose the usage of modified biogeography-based optimization to solve the large-scale constrained portfolio optimization. The results indicate the effectiveness of the method used.https://www.mdpi.com/2227-7072/11/4/125biogeography-based optimizationconstrained optimizationmean-variance model
spellingShingle Wendy Wijaya
Kuntjoro Adji Sidarto
Large-Scale Portfolio Optimization Using Biogeography-Based Optimization
International Journal of Financial Studies
biogeography-based optimization
constrained optimization
mean-variance model
title Large-Scale Portfolio Optimization Using Biogeography-Based Optimization
title_full Large-Scale Portfolio Optimization Using Biogeography-Based Optimization
title_fullStr Large-Scale Portfolio Optimization Using Biogeography-Based Optimization
title_full_unstemmed Large-Scale Portfolio Optimization Using Biogeography-Based Optimization
title_short Large-Scale Portfolio Optimization Using Biogeography-Based Optimization
title_sort large scale portfolio optimization using biogeography based optimization
topic biogeography-based optimization
constrained optimization
mean-variance model
url https://www.mdpi.com/2227-7072/11/4/125
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AT kuntjoroadjisidarto largescaleportfoliooptimizationusingbiogeographybasedoptimization