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METODE MEAN-SEMIVARIANCE DALAM PEMBENTUKAN PORTOFOLIO REKSA DANA SAHAM TERBAIK BAROMETER BAREKSA

*Ratu Aulia Pakungwati  -  Departemen Statistika, Fakultas Sains dan Matematika, Universitas Diponegoro, Indonesia
Yuciana Wilandari  -  Departemen Statistika, Fakultas Sains dan Matematika, Universitas Diponegoro, Indonesia
Di Asih I Maruddani  -  Departemen Statistika, Fakultas Sains dan Matematika, Universitas Diponegoro, Indonesia
Open Access Copyright 2024 Jurnal Gaussian under http://creativecommons.org/licenses/by-nc-sa/4.0.

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Abstract
The most popular investment product today is mutual funds. One of the factors in selecting mutual funds is the low investment risk. This risk can be minimized again by combining several assets and then compiling them into a portfolio. The portfolio formation method used in this study is the Mean-Semivariance method and the Sharpe Index to calculate portfolio performance. The data used is the daily net asset value per unit of Mandiri Investa Atraktif Syariah, Rencana Cerdas, Manulife Saham SMC Plus and BNP Paribas Solaris for the period January 3 2022 to March 9 2023, Jakarta Composite Index (IHSG) data as a benchmark and BI-7 Day Reverse Repo Rate as a riskfree interest rate. The minimum risk of the portfolio will be achieved by compiling a portfolio of two mutual funds, namely Mandiri Investa Atraktif Syariah with a weight of 92,50% and the Smart Plan with a weight of 7,50% with an expected return rate of 0,00019 and a risk of 0,000000663. The Sharpe Index is 0.08971 indicating that the portfolio formed has good performance and can be used as a choice of investment assets by investors.

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Keywords: Portfolio; Mean-Semivariance; Sharpe Index; Mutual Fund; IHSG

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  1. Aprillia, D., Wijaya, C., Fibria, I. 2018. A Comparative Study of Mutual Fund Portfolio Performance in Indonesia. Bisnis dan Birokrasi: Jurnal Ilmu Administrasi dan Organisasi Vol. 25 No.2
  2. Boasson, V., Boasson, E., Zhou, Z. 2011. Portfolio Optimization in a Mean-Semivariance Framework. Investment Management and Financial Innovations Vol.8, No. 3: Hal. 58-68
  3. Chang, J.F. 2010. Applyng DEA Investment Portfolio Efficiency Index and GA to the Establishment of the Fund of Funds in Taiwan. International Journal of Organization Innovation Vol. 2 No.3: Hal. 225-249
  4. Entrisnasari, V.F. 2015. Analisis Portofolio Optimum Saham Syariah Menggunakan Mean Semivarian. Jurnal Fourier Vol. 4, No.1: Hal. 31-42
  5. Estrada, J. 2008. Mean-Semivariance optimization: A Heuristic Approach. Journal of Applied Finance. Hal. 57-72
  6. Hartono, J. 2022. Teori Portofolio dan Analisis Investasi (Pedekatan Modul Edisi Kedua). Yogyakarta: CV Andi Offset
  7. Hidayat, W.W. 2019. Konsep Dasar Investasi dan Pasar Modal. Ponorogo: Uwais Inspirasi Indonesia
  8. Kapoor, Dlabay, Hughes. 2010. Personal Finance. New York: Mc Graw Hill
  9. Mardhiyah, A. 2017. Peranan Analisis Return dan Risiko dalam Investasi. Jurnal Ekonomi dan Bisnis Islam Vol. 2, No. 1: Hal. 1-17
  10. Markowitz, H.M. 1952. Portfolio Selection. Journal of Finance Vol. 7, No. 1: Hal. 77-91
  11. Markowitz, H.M. 1959. Portfolio Selection: efficient Diversification of Investments. Edisi Pertama. New York: John Wiley and Sons
  12. Markowitz, H.M. 1991. Foundations of Portfolio Theory. Journal of Finance Vol. 46, No. 2: Hal. 469-477
  13. Melta, F., Murni, D. 2021. Pembentukan Portofolio Optimal Model Markowitz Menggunakan Metode Sharpe (Studi Kasus pada Saham Jakarta Islamic Index). Journal of Mathematics UNP Vol. 6, No. 3: Hal. 45-52
  14. Murdiyanto, E., Kusumaningarti, M. 2020. Analisis Investasi dan Manajemen Portofolio Pasar Modal Indonesia. Surabaya: CV. Jakad Media Publishing
  15. Rachman, F., Rachmatin, D., Dahlah, J.A. 2015. Penerapan Metode Exponentially Weigthed Moving Average (EWMA) dan Metode Semi Varians (SV) dalam perhitungan Risiko Portofolio Saham PT Pindad Persero. Statistika Vol. 15, No.2: Hal. 39-57
  16. Ruppert, D. 2004. Statistics and Financial: an Introduction. New York: Spring
  17. Saiful, H., Weng, H., dan Zaidi, I. 2011. Different Downside Risk Approaches in Portfolio Optimisation. Jounal of Quality Measurement and Analysis Vol. 7, No.1: Hal. 77-84
  18. Suyasa, N.K.N.S., Dharmawan, K., Sari, K. 2021. Perhitungan Portofolio Optimal dengan Metode Mean-Semivariance dan Mean Absolute Deviation (Studi Kasus: Indeks Harga Saham LQ45 Periode Februari 2017-Juli 2019). E-Jurnal Matematika Vol. 10 No.2: Hal. 65-69
  19. Tandelilin, E. 2010. Portofolio dan Investasi (Edisi Pertama). Yogyakarta: Kanisius

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