International Journal of Mathematics, Statistics, and Computing
Vol. 2 No. 1 (2024): International Journal of Mathematics, Statistics, and Computing

Multiobjective Optimization of Stock Portofolio

Cahyandari, Rini (Unknown)
Kamelia, Susan (Unknown)
Rusyn, Volodymyr (Unknown)



Article Info

Publish Date
01 Feb 2024

Abstract

Diversification is a method used to reduce risks by allocating several financial, industrial, and other instruments. Investors might need to use this method to allocate their companies’ funding as efficient as they should be. Mean variance portfolio is a diversification theory designated for investors who are aware of potential risks. On the other hand, multi-objective portfolio optimization is another theory that suits for investors who are more unaware, or choose to neglect potential business risks. Multi-objective optimization can boost source of income and minimize the risks while utilizing k weighting coefficient as risk aversion index. This research aims to form an optimal portfolio from each perspective of selected investors using multi-objective optimization, as well as to analyze the benefits and risks that the investors will have. Samples used in this research are sharia stocks actively involved in Jakarta Islamic Index (JII) and non-sharia stocks which are actively involved in LQ-45 from January 2013 to January 2018.

Copyrights © 2024






Journal Info

Abbrev

ijmsc

Publisher

Subject

Computer Science & IT Mathematics

Description

International Journal of Mathematics, Statistics, and Computing (IJMSC) is an official journal of the Communication in Research and Publications (CRP) and publishes original research papers that cover the theory, practice, history, methodology or models of Mathematics, Statistics, and Computing ...