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Large Scale Portfolio Optimization Using Biogeography-Based Optimization
Version 1
: Received: 21 June 2023 / Approved: 22 June 2023 / Online: 22 June 2023 (12:34:58 CEST)
A peer-reviewed article of this Preprint also exists.
Wijaya, W.; Sidarto, K.A. Large-Scale Portfolio Optimization Using Biogeography-Based Optimization. Int. J. Financial Stud. 2023, 11, 125. Wijaya, W.; Sidarto, K.A. Large-Scale Portfolio Optimization Using Biogeography-Based Optimization. Int. J. Financial Stud. 2023, 11, 125.
Abstract
Portfolio optimization is a mathematical formulation whose objective is to maximize returns while minimizing risks. A lot of improvement in the model has been made, including adding practical constraints. With the growing of shares trading, 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. Results indicate the effectiveness of the method used.
Keywords
biogeography-based optimization; constrained optimization; mean-variance model
Subject
Computer Science and Mathematics, Data Structures, Algorithms and Complexity
Copyright: This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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