Evaluasi Portofolio Optimal IDX30 Berbasis Safety First Criterion Menggunakan Rasio Sharpe, Sortino, dan Treynor

Abdul Maulana, Yundari Yundari, Evy Sulistianingsih

Abstract


Constructing an optimal portfolio allows investors to achieve expected returns within an acceptable risk level. Unlike conventional approaches focusing on the risk--return trade--off, the Safety First Criterion (SFC) method minimizes the probability of portfolio returns falling below an investor's specified minimum threshold. This study constructs an optimal stock portfolio from the IDX30 index for the period February 5, 2024--July 28, 2025, using Roy’s, Kataoka’s, and Telser’s criteria, and evaluates performance through Sharpe, Sortino, and Treynor indices. The dataset comprises weekly closing stock prices of IDX30 constituents. The analysis calculates returns and expected returns, selects stocks with positive expected returns, constructs optimal portfolios via the Lagrange multiplier approach for each SFC criterion, and evaluates risk-adjusted performance. This study uniquely applies and compares three SFC criteria simultaneously using three distinct evaluation metrics. Results show that the Roy portfolio comprises ANTM, INDF, and PGAS; the Kataoka portfolio includes BRPT, INDF, and PGAS; and the Telser portfolio consists of ANTM, BRPT, and PGAS. The Roy portfolio generates the highest Sharpe Index (0.1453) and Treynor Index (0.00532), demonstrating superior performance against total and systematic risk compared to other portfolios. Meanwhile, the Telser portfolio achieves the highest Sortino Ratio (0.28566), showing the best capability in managing downside risk. Overall, the Roy portfolio emerges as the most optimal choice because it excels in two out of three evaluation indicators, proving that Roy's criterion produces the best risk--return balance during the study period.

Keywords


IDX30; Roy; Kataoka; Telser; Lagrange Multiplier

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References


V. C. Putrie, “Investment portfolio optimization using mean-variance model with data envelopment analysis (DEA) approach on IDX30 stocks,” International Journal of Quantitative Research and Modeling, vol. 6, no. 1, pp. 48–59, 2025, doi:10.46336/ijqrm.v6i1.865.

V. W. Utami and R. Kartika, “Investasi saham pada sektor perbankan adalah pilihan yang tepat bagi investor di pasar modal,” Jurnal Sains Sosio Humaniora, vol. 4, no. 2, pp. 894–897, 2020.

Y. Ma, R. Mao, Q. Lin, P. Wu, and E. Cambria, “Quantitative stock portfolio optimization by multi-task learning risk and return,” Information Fusion, vol. 104, p. 102165, 2024, doi:10.1016/j.inffus.2023.102165.

K. Erwin and A. Engelbrecht, “Meta-heuristics for portfolio optimization,” Soft Computing, vol. 27, no. 24, pp. 19 045–19 073, 2023, doi:10.1007/s00500-023-08177-x.

D. A. Lorimer, C. H. van Schalkwyk, and J. J. Szczygielski, “Portfolio optimisation using alternative risk measures,” Finance Research Letters, vol. 67, p. 105758, 2024, doi:10.1016/j.frl.2024.105758.

N. A. F. M. N. Azaidi, H. F. Harun, and M. L. Abdullah, “Advancements in mathematical models for portfolio optimization: From Gaussian assumptions to non-Gaussian realities,” Mathematical Modelling of Engineering Problems, vol. 12, no. 4, 2025.

Sriyono, D. Prapanca, and A. Oktaviani, “Pengambilan keputusan investasi portofolio: Pendekatan model indeks tunggal saham,” Benefit: Jurnal Manajemen dan Bisnis, vol. 6, no. 2, pp. 72–96, 2021, doi:10.23917/benefit.v6i2.14489.

Z. Landsman, U. Makov, J. Yao, and M. Zhou, “Downside risk optimization with random targets and portfolio amplitude,” The European Journal of Finance, vol. 28, no. 16, pp. 1642–1663, 2022, doi:10.1080/1351847X.2021.1991421.

D. R. Amalia, E. Sulistianingsih, and N. Imro’ah, “Analisis pembentukan portofolio optimal pada indeks saham LQ-45 dengan metode Safety First Criterion,” Jambura Journal of Mathematics, vol. 6, no. 2, pp. 140–146, 2024, doi:10.37905/jjom.v6i2.24438.

H. Hakmi, K. Dharmawan, and R. S. Widiastuti, “Penerapan metode Safety First Criterion pada seleksi saham untuk pembentukan portofolio optimal,” E-Jurnal Matematika, vol. 12, no. 2, pp. 100–105, 2023, doi:10.24843/MTK.2023.v12.i02.p406.

N. P. Rahmadhisa, D. Susanti, and B. Subartini, “IDX30 stock portfolio optimization using genetic algorithm based on capital asset pricing model,” International Journal of Quantitative Research and Modeling, vol. 6, no. 2, pp. 200–207, 2025, doi:10.46336/ijqrm.v6i2.981.

J. Marianna and S. Warsini, “Penerapan metode Sharpe, Sortino, Treynor, dan Jensen sebagai pengukur kinerja portofolio pada sektor properti,” in Seminar Nasional Akuntansi dan Manajemen PNJ, vol. 5, no. 1, 2024.

B. Aprilianti, S. Martha, and N. Imro’ah, “Peramalan harga saham dengan metode MODWT-ARIMA,” Bimaster: Buletin Ilmiah Matematika, Statistika dan Terapannya, vol. 11, no. 4, pp. 649–658, 2022.

M. R. Fauzi and S. Sulasmiyati, “Analisis pembentukan portofolio optimal saham dengan menggunakan Single Index Model (studi pada saham-saham yang terdaftar dalam indeks JII periode 2015–2017),” Jurnal Investasi Kompeten, vol. 2, no. 1, pp. 37–54, 2019, doi:10.21831/jik.v2i1.25064.

A. N. Pratama, N. Satyahadewi, and E. Sulistianingsih, “Analysis of optimal portfolio formation on IDX30 indexed stock with the mean absolute deviation method,” BAREKENG: Jurnal Ilmu Matematika dan Terapan, vol. 18, no. 3, pp. 1753–1764, 2024, doi:10.30598/barekengvol18iss3pp1753-1764.

Y. H. Salsabila, E. Sulistianingsih, N. N. Debataraja, and S. Martha, “Analysis of the single index model optimal portfolio using the Sharpe and Treynor measurement index related to COVID-19,” JTAM (Jurnal Teori dan Aplikasi Matematika), vol. 8, no. 3, pp. 691–701, 2024, doi:10.31764/jtam.v8i3.21249.

M. A. Putri, E. Sulistianingsih, and N. Imro’ah, “Value at Risk varian kovarian pada portofolio optimal Multi Index Model,” Epsilon: Jurnal Matematika Murni dan Terapan, vol. 19, no. 2, 2025, doi:10.20527/epsilon.v19i2.14924.

M. R. Nisardi, H. Husain, K. Kusnaeni, and A. Resky, “Penentuan portofolio saham optimal menggunakan metode Markowitz sebagai dasar keputusan investasi,” Square: Journal of Mathematics and Mathematics Education, vol. 6, no. 1, pp. 45–56, 2024.

J. C. Francis and D. Kim, Modern Portfolio Theory: Foundations, Analysis, and New Developments. Hoboken, New Jersey: John Wiley & Sons, 2013.

A. H. Manurung, F. F. Hibatullah, and J. Sijabat, “Stock selection using Roy criteria to construct a portfolio and the effects of variables on portfolio return,” Journal of Finance and Investment Analysis, vol. 12, no. 3, 2023.

A. H. Manurung, N. M. Machdar, J. Sijabat, and A. Manurung, “The construction of a portfolio using varying methods and the effects of variables on portfolio return,” International Journal of Economics and Financial Issues, vol. 14, no. 1, pp. 233–241, 2024, doi:10.32479/ijefi.15314.

J. Wei and Z. Cui, “A mean quadratic variation approach to optimal portfolio selection,” The European Journal of Finance, vol. 32, no. 9, pp. 1072–1096, 2026, doi:10.1080/1351847X.2026.2664764.

H. Wiharno, A. S. Lesmana, Y. Maulana, and M. N. Komarudin, “Stock portfolio optimization in bullish and bearish conditions using the Black–Litterman model,” Jurnal Manajemen dan Kewirausahaan, vol. 25, no. 2, pp. 92–104, 2023, doi:10.9744/jmk.25.2.92-104.

T. Ardhitha, E. Sulistianingsih, and N. Satyahadewi, “Value at Risk analysis on blue chip stocks portfolio with Gaussian copula,” BAREKENG: Jurnal Ilmu Matematika dan Terapan, vol. 17, no. 3, pp. 1739–1748, 2023, doi:10.30598/barekengvol17iss3pp1739-1748.

J. Prasetyo, A. Marjukah, and A. Hadi, “Simulasi matematis optimalisasi komposisi proporsi portofolio saham menggunakan metoda Optimality Lagrange Multiplier,” Widya Dharma Journal of Business (WIJoB), vol. 1, no. 1, 2022, doi:10.54840/wijob.v1i01.28.

Y. Pratama, E. Sulistianingsih, N. N. Debataraja, and N. Imro’ah, “K-means clustering dan Mean Variance Efficient Portfolio dalam portofolio saham,” Jambura Journal of Probability and Statistics, vol. 5, no. 1, pp. 1–10, 2024, doi:10.37905/jjps.v5i1.20298.

R. I. Lestari, A. Tawe, N. Nurman, Z. Ruma, and A. Anwar, “Optimalisasi portofolio saham blue chips yang terdaftar di Bursa Efek Indonesia dengan menggunakan model Markowitz di era pandemi COVID-19,” Jurnal Formatif, vol. 24, no. 3, pp. 618–623, 2022, doi:10.30872/jfor.v24i3.11423.

J. Yang, P. Li, Y. Cui, X. Han, and M. Zhou, “Multi-sensor temporal fusion transformer for stock performance prediction: An adaptive Sharpe ratio approach,” Sensors, vol. 25, no. 3, p. 976, 2025, doi:10.3390/s25030976.

A. Hilmy and L. V. Shafira, “IDX BUMN20 performance measurement with Sharpe, Treynor, and Sortino,” JEM17: Jurnal Ekonomi Manajemen, vol. 7, no. 1, pp. 119–128, 2022, doi:10.30996/jem17.v7i1.6510.

N. Sutjipto and B. Mindosa, “Perbandingan kinerja reksa dana saham dan campuran dengan metode Sharpe, Treynor, Jensen, Information, dan Sortino Ratio (2021–2023),” Jurnal Manajemen, vol. 14, no. 1, pp. 49–74, 2025, doi:10.46806/jm.v14i1.1364.

P. P. Sari, S. Hermuningsih, R. Hidayat, R. Rinofah, and E. A. Setiawan, “Indeks Treynor, Sharpe, dan Jensen terhadap kebijakan dividen di Bursa Efek Indonesia,” Jambura Economic Education Journal, vol. 8, no. 2, pp. 307–322, 2026, doi:10.37479/jeej.v8i2.33850.




DOI: https://doi.org/10.37905/euler.v14i2.38342

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