Empirical Study of Multi-Objective Risk Portfolio Optimization Based on NSGA-II
The purpose of the article. The application of multi-objective optimization in portfolio management has gained significant attention in asset management. This study aims to uncover the potential advantages of dynamic portfolio optimization using a multi-objective genetic algorithm to address the cha...
Saved in:
Main Authors: | Qian Gao, Aleš Kresta |
---|---|
Format: | Article |
Language: | deu |
Published: |
Lodz University Press
2024-12-01
|
Series: | Finanse i Prawo Finansowe |
Subjects: | |
Online Access: | https://czasopisma.uni.lodz.pl/fipf/article/view/24782 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Presenting a multi-objective mathematical model with an integrated approach to scheduling and financial flow in production projects using NSGA-II
by: Sajad Janbaz, et al.
Published: (2023-11-01) -
A robust multi-objective multi-priodic planning approach to the problem of locating the allocation of organ transplant centers under conditions of uncertainty
by: Elham Nejati, et al.
Published: (2023-11-01) -
Multi-Objective Portfolio Optimization Strategy Using the SPEA-II Algorithm
by: Alireza Azarberahman, et al.
Published: (2025-01-01) -
Multi-objective optimization of SUS430C steel turning process using hybrid machine learning and evolutionary algorithm approach
by: Nguyen Van-Canh, et al.
Published: (2025-03-01) -
Multi-period and multi-objective stock portfolio modeling considering cone constraints
by: Masoomeh Zeinalnezhad, et al.
Published: (2025-03-01)