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2.1

Calculated on 05 May, 2025

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0.25

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Journal of Multidisciplinary Applied Natural Science

e-ISSN: 2774-3047


v. 6 n. 2 (2026) Articles https://doi.org/10.47352/jmans.2774-3047.381

Optimizing ESG-Constrained Mean-Variance Portfolio using Spiral Optimization Algorithm

Werry Febrianti Novriana Sumarti Achmad Suryadi Nasution Andi Fitriawati Desi Era P Siregar Yolanda Sari S

Informações do autor

Werry Febrianti

https://orcid.org/0000-0002-2764-3175

Informações do autor

Novriana Sumarti

https://orcid.org/0000-0003-3239-0982
  • novriana@itb.ac.id
  • Industrial and Financial Mathematics Research Group, Institut Teknologi Bandung, Bandung-40132 (Indonesia)
  • Biografia não informada.

Informações do autor

Achmad Suryadi Nasution

https://orcid.org/0009-0003-2870-1917

Informações do autor

Andi Fitriawati

https://orcid.org/0009-0007-1126-9477

Informações do autor

Desi Era P Siregar

https://orcid.org/0009-0006-5406-2436

Informações do autor

Yolanda Sari S

https://orcid.org/0009-0002-9468-9103

Publicado em: abril 30, 2026

[1]
W. Febrianti, N. Sumarti, A. S. Nasution, A. Fitriawati, D. E. P. Siregar, e Y. S. S, “Optimizing ESG-Constrained Mean-Variance Portfolio using Spiral Optimization Algorithm”, J. Multidiscip. Appl. Nat. Sci., vol. 6, nº 2, p. 1146–1159, abr. 2026.

Resumo

This research investigates ESG-constrained mean–variance portfolio optimization by incorporating buy-in threshold constraints using data from the Indonesian stock market. The optimization problem is formulated as a mixed-integer nonlinear programming (MINLP) model, which captures both the discrete investment decisions and the nonlinear nature of risk-return trade-offs. To solve this complex model, the spiral optimization algorithm (SOA) is employed due to its flexibility and efficiency in handling constrained optimization problems. The performance of SOA is benchmarked against other well-known metaheuristic algorithms, namely Particle Swarm Optimization (PSO) and Grey Wolf Optimizer (GWO), using portfolios consisting of 5 and 10 ESG-compliant stocks. Based on the empirical results for 5 stocks, we show that SOA gives the same results with PSO and GWO results. Meanwhile for 10 stocks, SOA gives consistent results than the results of PSO and GWO. Therefore, we conclude that SOA can be used in small number of stocks or extended stocks in solving this ESG-portfolio problems.

Referências

Informações do artigo