Vol. 25 No. 1 (2025): Musytari: Neraca Manajemen, Akuntasi, dan Ekonomi, ISSN 3025-9495
Articles

PERHITUNGAN RISIKO PERUSAHAAN DENGAN VALUE AT RISK (VAR) METODE SIMULASI MONTE CARLO PADA PT ASTRA INTERNATIONAL TBK (PERIODE JANUARI 2022– DESEMBER 2024)

Thalitha Neila
Universitas Pembangunan Jaya
Dalizanolo Hulu
Universitas Pembangunan Jaya

Published 2025-12-28

Keywords

  • Value at Risk, Monte Carlo, PT Astra International Tbk, Risk Management

How to Cite

PERHITUNGAN RISIKO PERUSAHAAN DENGAN VALUE AT RISK (VAR) METODE SIMULASI MONTE CARLO PADA PT ASTRA INTERNATIONAL TBK (PERIODE JANUARI 2022– DESEMBER 2024). (2025). Musytari : Jurnal Manajemen, Akuntansi, Dan Ekonomi, 25(1), 5411-5420. https://cibjournal.com/index.php/musytari/article/view/4891

Abstract

This study aims to measure and describe the level of investment risk in PT Astra International Tbk (ASII.JK) shares during the period January 2022–December 2024. Using a quantitative descriptive approach, this study applies the Monte Carlo simulation method to obtain Value at Risk (VaR) estimates at various confidence levels. The analysis process includes calculating stock returns, testing data distribution, determining statistical parameters, and generating simulated return values that form the basis for calculating potential losses. The results show that ASII.JK stock returns follow a normal distribution, thus fulfilling the assumptions for applying the Monte Carlo method. The VaR values obtained for confidence levels of 99%, 95%, and 90% are Rp1,092,877,755.00; Rp656,559,125.00; and Rp423,959,278.00 from the initial capital of Rp1,000,000,000.00. These findings indicate that ASII.JK shares have a fairly high level of risk, influenced by the high volatility of daily returns throughout the observation period. Based on these results, investors are advised to pay attention to the potential daily loss limit, adjust their risk management strategy, and consider their personal risk profile when investing in ASII.JK shares.

Downloads

Download data is not yet available.

References

  1. [1] Ahmad Taufiq Ramadhan, & Faishal Hilmy F. G. (2024). Pendekatan Metode Monte Carlo untuk Simulasi Pergerakan Harga Saham. Mars : Jurnal Teknik Mesin, Industri, Elektro Dan Ilmu Komputer, 2(3), 46–55. https://doi.org/10.61132/mars.v2i3.123
  2. [2] Aldiansyah, A., Christa, U. R., & Syamsudin, A. (2025). Macroeconomic determinants of stock price volatility: Evidence from the Indonesia Stock Exchange. JSM: Jurnal Sains Manajemen, 14(1), 16–27. https://doi.org/https://doi.org/10.52300/jsm.v14i1.22237
  3. [3] Aslam, A. P. (2023). Buku Ajar Metode Penelitian. Tahta Media Group. December 1, 2025.
  4. [4] Astra International. (2024). Laporan Tahunan PT Astra International Tbk 2023. Jakarta: PT Astra International Tbk.
  5. [5] Astuti, T. H., & Anggraini, P. D. (2025). Risk analysis of single stocks and portfolios in LQ45 index. Journal of Economic and Economic Policy, 2(4), 422–430. https://doi.org/10.61796/ijecep.v2i4.82
  6. [6] Awaliya, E., Suhendri, N., Goharwin, G., Sibarani, T. P., Wildani, L. N., & Zabrina, F. S. (2022a). Pengaruh Penerapan Manajemen Risiko Bisnis dalam Small Business Development di Jomtea. YUME: Journal of Management, 5(3). https://doi.org/10.2568/yum.v5i3.3067
  7. [7] Darmawan, S., Fauzan, R., & Saputra, A. (2024). Comparative Analysis: Value at Risk (VaR) with Parametric Method, Monte Carlo Simulation, and Historical Simulation of Mining Companies in Indonesia. International Journal of Quantitative Research and Modeling, 5(4), 445-450.
  8. [8] Faedfar, S., Özyeşil, M., Çıkrıkçı, M., & Benhür Aktürk, E. (2022). Effective risk management and sustainable corporate performance integrating innovation and Intellectual Capital: An application on Istanbul Exchange Market. Sustainability, 14(18), 11532. https://doi.org/10.3390/su141811532
  9. [9] Hamonangan, N., Maelisa, N., & Serang, R. (2022). Analisa Risiko Pada Proyek Rehabilitasi Gedung Arsip Unit Hidrologi Balai Sungai Wilayah Maluku. Jurnal Manumata, 8(2).
  10. [10] Herlisa, Arman, Saidi, L. O., La Gubu, Jufra, & Ruslan. (2024). Analisis portofolio optimum menggunakan metode simulasi Monte Carlo Pada sepuluh Saham LQ45 Terbaik di Indonesia. Jurnal Matematika Komputasi Dan Statistika, 3(3), 419–424. https://doi.org/10.33772/jmks.v3i3.46
  11. [11] Jalaludin, P., Amigo, R., Mufaridho, L. M. W., Nuraini, A., & Susanawati, D. (2024). OPTIMASI PORTOFOLIO MEGGUNAKAN METODE MEAN VARIANCE EFFICIENT PORTFOLIO (MVEP)PADA SAHAM LQ45. Jurnal Lentera Akuntansi, 9(2). https://doi.org/https://doi.org/10.34127/jrakt.v9i2.1398
  12. [12] Lahi, R., Atti, A., Kleden, M. A., & Guntur, R. D. (2023). Perhitungan Risiko Value at risk (VAR) Aset Tunggal Menggunakan pendekatan Metode simulasi monte carlo (Studi Kasus: Pt. indofood CBP Sukses Makmur Tbk Dan pt. Astra International Tbk). Jurnal Cakrawala Ilmiah, 2(8), 3297–3310. https://doi.org/10.53625/jcijurnalcakrawalailmiah.v2i8.5523
  13. [13] Luthfiyanti, A., & Rosha, M. (2021). Analisis Risiko Investasi pada Portofolio dengan Value at Risk (VaR) Menggunakan Simulasi Monte Carlo. Journal of Mathematics UNP, 5(4), 1-5. https://doi.org/10.24036/unpjomath.v5i4.11118
  14. [14] Millenia, L. (2022). Faktor-Faktor Yang Mempengaruhi Return Saham Dengan Dimoderasi Inflasi Dan Suku Bunga. Jurnal Paradigma Akuntansi, 4(3). https://doi.org/https://doi.org/10.24912/jpa.v4i3.19730
  15. [15] Novelyna, I. S. (2025). Analisis Value At Risk (VaR) Portofolio Dengan Metode Variance-Covariance, Historical Simulation Dan Monte Carlo. https://doi.org/10.13140/RG.2.2.11166.86089
  16. [16] Nugroho, C. A., Zulfialda, D. H., & Malasan, H. L. (2025). Value at Risk Analysis for Asset Acquisition Investment Needs Process Using Monte Carlo Method Based on Asset Return Level. Journal La Sociale, 6(2), 335-345. https://doi.org/10.37899/journal-la-sociale.v6i2.1860
  17. [17] Pelatta, T. G., Maelissa, N. ., Titaley, H. D., & Tuanakotta, A. . (2023). ANALISA RISIKO PADA PROYEK PEMBANGUNAN GEDUNG AUDITORIUM IAIN KOTA AMBON . Journal Agregate, 2(1), 107–115. https://doi.org/10.31959/ja.v2i1.1202
  18. [18] Putra, R. D., Apridiansyah, Y., & Sahputra, E. (2022). Penerapan Metode Monte Carlo pada Simulasi Prediksi Jumlah Calon Mahasiswa Baru Universitas Muhammadiyah Bengkulu. Processor: Jurnal Ilmiah Sistem Informasi, Teknologi Informasi Dan Sistem Komputer, 17(2). https://doi.org/https://doi.org/10.33998/processor.2022.17.2.1224
  19. [19] Rahman, W. K. (2024). Analisis value at risk (VAR) Pada Saham Sektor perbankan Indonesia Dengan Metode simulasi Monte Carlo. JATI (Jurnal Mahasiswa Teknik Informatika), 8(4), 5895–5899. https://doi.org/10.36040/jati.v8i4.10062
  20. [20] Santana, S., Muttaqin, I. K., Vrij, L. A. C., Asivadibrata, A., Kamaludin, N. F., Aulia, A. G., & Maesaroh, S. S. (2023). Analisis Implementasi Manajemen Risiko pada UMKM Tasikmalaya (Studi Kasus UMKM Mie Baso Sarirasa 81). Jurnal Bina Manajemen, 11(2), 60–75. https://doi.org/10.52859/jbm.v11i2.309
  21. [21] Siaran Pers: Jumlah Investor Ritel Pasar Modal Terus Meningkat. OJK. (2022, May 27). https://ojk.go.id/id/berita-dan-kegiatan/siaran-pers/Pages/Jumlah-Investor-Ritel-Pasar-Modal-Terus- Meningkat.aspx
  22. [22] Singadipoera, M. R., & Dewi, V. I. (2023). Analisis Value at Risk (VAR) pada Saham Sektor Perdagangan Ritel Barang Konsumsi dengan Simulasi Monte Carlo. Jurnal Manajemen Bisnis Dan Kewirausahaan, 7(6), 1406–1415. https://doi.org/10.24912/jmbk.v7i6.24132
  23. [23] Sitepu, S. B., Lesmana, D. C., & Budiarti, R. (2023). Pricing european basket option using the standard Monte Carlo and antithetic variates. BAREKENG: Jurnal Ilmu Matematika Dan Terapan, 17(2), 1007–1016. https://doi.org/10.30598/barekengvol17iss2pp1007-1016
  24. [24] Team Brandcom Birds. (2025, September 1). Saham ASII: Prospek Astra di Sektor Otomotif Dan Diversifikasi bisnis. BRIDS. https://www.brights.id/en/blog/prospek%20astra%20otomotif%20dan%20diversifikasi
  25. [25] Waruwu, V., & Supriyadi, A. (2025). STUDI SAHAM TUNGGAL DAN PORTOFOLIO: ANALISIS VALUE AT RISK DENGAN METODE VARIANCE-COVARIANCE (SAHAM INDEKS IDX30). Open Journal Systems, 20(2).