ANALISIS PORTOFOLIO OPTIMAL SINGLE INDEX MODEL SEBAGAI STRATEGI INVESTASI SAHAM LQ45

Authors

  • andini hayrunnisyah Universitas Hasanuddin, Fakultas Ekonomi dan Bisnis

DOI:

https://doi.org/10.56282/sler.v1i2.242

Keywords:

portofolio optimal

Abstract

This research is descriptive research with a quantitative approach. The data collection technique used was the documentation technique, in this case, the researcher collected and analyzed documents related to the data studied for the research period from January 2022 to January 2023. This research was a descriptive study with a quantitative approach. The data collection technique used is the documentation technique, in this case, the researcher collects and analyzes documents related to the data studied. Based on the results of the calculations that have been carried out, the Expected Return Portfolio E (Rp) is 0.0475 or if it is rounded up to 4.749% or 4.75% this is also accompanied by a risk on the investment with the results of calculating the portfolio variance of 0.0175 or equal to 1.748% analysis of forming an optimal portfolio using the Single Index Model produces 17 Candidates to form an optimal portfolio including AMRT 14.71%, AKRA capable 13.78%, BMRI 13.35%, MEDC 11.74%, ITMG 8.31%, INCO 5.74%, SMGR 5.12%, ADRO 4.24%, BBRI 4.05%, PTBA 3.67% BBCA 2.96%, INKP 2.91%, ANTM 2.75%, PGAS 2 .49%, ESSA 1.73%, INDY 1.66%, and TPIA 0.78%. The formation of an optimal portfolio is carried out to minimize investment risk without reducing the rate of return expected by investors. In forming an optimal portfolio, investors seek a balance between the expected rate of return and the risk that is ready to be taken to achieve investment objectives. Investors also need to consider other factors such as personal risk profile, the timing of investment, investment objectives, and personal preference for different types of assets. By building an optimal portfolio, investors can reduce investment risk and maximize potential returns efficiently and effectively.

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Published

2022-12-30