Mahari, Rahnanda (2024) Analisis Pembentukan Portofolio Optimal Saham IDX30 Menggunakan Pendekatan Markowitz. Diploma thesis, Institut Teknologi Sepuluh Nopember.
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Abstract
Pertumbuhan investor saham sangat pesat dalam kurun waktu empat tahun terakhir. IDX30 adalah salah satu indeks yang diterbitkan oleh BEI dan merupakan indeks saham yang populer di kalangan masyarakat. Pada IDX30, saham perbankan merupakan saham dominan di antara saham-saham yang likuid dan kapitalisasi pasar besar dengan porsi saham perbankan lebih dari 45%. Hal ini menunjukkan bahwa sektor perbankan IDX30 dapat dianggap sebagai pilihan investasi yang menjanjikan dan stabil. Pada penelitian ini dilakukan pembentukan portofolio optimal menggunakan model Markowitz pada saham IDX30 sektor perbankan. Kemudian dilakukan peramalan return tiap saham IDX30 sektor perbankan menggunakan ARIMA. Terakhir akan dilakukan perhitungan expected return portofolio optimal selama 20 hari ke depan. Data yang digunakan merupakan data sekunder yang diperoleh melalui website Yahoo Finance. Hasil dari penelitian ini adalah portofolio optimal saham IDX30 sektor perbankan dengan pendekatan model Markowitz terdiri dari saham BBCA, BBRI, dan BMRI. Bobot saham tersebut dalam portofolio optimal yang terbentuk adalah BBCA sebesar 56.89%, BBRI sebesar 42.33%, dan BMRI sebesar 0.077%. Portofolio optimal dengan bobot tiap saham tersebut memberikan expected return portofolio sebesar 0.07% dengan tingkat risiko sebesar 1.05%. Lalu, didapatkan hasil peramalan untuk tiap saham dengan menggunakan ARIMA. Model terbaik saham BBCA adalah ARIMA (1,0,1), model terbaik saham BBRI adalah ARIMA (1,0,0), dan model terbaik saham BMRI adalah ARIMA (3,0,0). Terakhir, didapatkan hasil ramalan nilai expected return portofolio optimal saham IDX30 sektor perbankan selama 20 periode ke depan tertinggi ada pada tanggal 1 September 2023 sebesar 0.3072%, sedangkan ramalan expected return terendah adalah pada 4 September 2023 sebesar -0.454%.
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The growth of stock investors has been very rapid in the last four years. IDX30 is one of the indices published by the IDX and is a stock index that is popular among the public. On the IDX30, banking shares are the dominant shares among liquid shares and have a large market capitalization with a share of banking shares of more than 45%. This shows that the IDX30 banking sector can be considered a promising and stable investment option. In this research, optimal portfolio formation was carried out using the Markowitz model on IDX30 shares in the banking sector. Then forecasting the return for each IDX30 share in the banking sector using ARIMA. Finally, the optimal portfolio expected return will be calculated for the next 20 days. The data used is secondary data obtained through the Yahoo Finance website. The results of this research are the optimal portfolio of IDX30 shares in the banking sector using the Markowitz model approach consisting of BBCA, BBRI and BMRI shares. The weight of these shares in the optimal portfolio formed is BBCA at 56.89%, BBRI at 42.33%, and BMRI at 0.077%. The optimal portfolio with the weight of each share provides an expected portfolio return of 0.07% with a risk level of 1.05%. Then, we get forecasting results for each stock using ARIMA. The best model for BBCA shares is ARIMA (1,0,1), the best model for BBRI shares is ARIMA (1,0,0), and the best model for BMRI shares is ARIMA (3,0,0). Finally, the highest expected return value of the optimal portfolio of IDX30 shares in the banking sector for the next 20 periods was obtained on September 1 2023, amounting to 0.3072%, while the lowest predicted return was on September 4 2023 amounting to 0.454%.
Item Type: | Thesis (Diploma) |
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Uncontrolled Keywords: | ARIMA, Markowitz, Portofolio Saham, Stock Portfolio |
Subjects: | H Social Sciences > H Social Sciences (General) > H61.4 Forecasting in the social sciences H Social Sciences > HG Finance |
Divisions: | Faculty of Vocational > 49501-Business Statistics |
Depositing User: | Rahnanda Mahari |
Date Deposited: | 18 Feb 2024 13:28 |
Last Modified: | 18 Feb 2024 13:28 |
URI: | http://repository.its.ac.id/id/eprint/107325 |
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