Implementation of the Markowitz Method in the Robo-Advisor Application for Best Investment Selection
Y A Gerhana, M M Umam, A R Atmadja

Informatics Departement, UIN Sunan Gunung Djati Bandung

Abstract

Investment is the best way to ensure financial security in the future. The number of investment choices available often makes potential investors confused in determining the right investment choice. The purpose of this study is to implement the Markowitz Method in the Robo-Advisor application to the selection of appropriate mutual fund investment products. This research is experimental in finding the best mutual fund portfolio. The Mutual Funds products used are Danareksa Flexible Orchid (DAF), Bahana Trailblazer Fund (BTF), CIMB Principal Total Return Equity (CIMBPTRE), and Danareksa Mawar Consumer 10 (DMK). The data used amounted to 60 data from 2014 to 2018. Based on the results of calculations, the first portfolio has a higher return rate of 0.55%, while the second portfolio has a return rate of 0.54%.

Keywords: Markowitz, Robo-Advisor, Portfolio Profile.

Topic: Computer Science