MEASUREMENT OF THE RISK LEVEL AND INDIVIDUAL SHARE PROFIT BY USING A HISTORICAL APPROACH TO THE VALUE AT RISK (VaR) METHOD ON THE TOP 10 BEST COMPANY STOCK IN RTI PERIOD 2023
DOI:
https://doi.org/10.56127/ijml.v2i2.746Abstract
Research has been conducted to measure individual risk with profit level using the Value at Risk (VaR) approach. The research method used to analyze the data with refers to the Historical Simulation Model approach. The data used is the daily asset return data obtained from the daily closing price of shares during the January 2022 period. The results of the VaR method approach are Historical Simulation. The model shows NICL (PT Pam Mineral Tbk)stock with a risk of 30 million to 40 million. The measurement results show that if the funds invested are Rp. 500,000,000.00 with a 95% confidence level, the period is 1 year 248 days from published stock data of each company.
References
Abdurrakhman. 2017. Buku Ajar Pengantar Statistika Keuangan. Universitas Gajah Mada. Yogyakarta.
Alexander, C, Elizabeth S, and Koenig D. The Professional Risk Manager ’s Handbook. Boston: PRMIA Institute, 2004.
Afra, M. 2020 Analisis Risiko Investasi pada Portofolio dengan Value at Risk (VaR) Menggunakan Simulasi Monte Carlo. Universitas Negri Padang. Indonesia
Best, P. 1998.Implementing Value at Risk, John Wiley & Sons Ltd, England.
Bismark Fernando P, R. 2015, “Analisis Risiko Investasi Saham : Value at Risk Portofolio Saham dan Saham Individual” Jakarta, 2015.
Bodie, C. (1999), Mastering Value at Risk, Pearson, PrenticeHall, International, inc, USA
Hanafi MM, 2006, .Manajemen Risiko, UPP STIM YKPN, Yogyakarta.
Indonesia Saham,2015,
Luthfiyanti, Afra M dan Rosha, M. 2020. “Analisis Risiko Investasi Pada Portofolio Dengan Value at Risk (VaR) Menggunakan Simulasi Monte Carlo (Studi Kasus: Pada Saham Unilever dan Telekomunikasi Juni 2019-November 2019)”,. Universitas Negeri Padang, Padang, Indonesia.
Maringga, Umbara, RF., dan Irma P. (2015). Perhitungan Value at Risk untuk Portofolio Saham dengan Metode Varian-Kovarian dan Simulasi Monte Carlo. Jurnal eProceeding of Engineering. (Volume 2; 6782–6791).
Reni AF 2016, Analisis risiko transaksi pasar dengan metode varian-kovarian pada perbankan, UIN Alauddin Makassar, Makassar.
Shita SD, 2010, Analisis Risiko Portofolio Dengan Metode Varians Kovariansi,
Universitas Negeri Yogyakarta, Yogyakarta.
Syariah, N, 2020, Pengaruh Value at Risk (VaR) Portofolio Optimal Pada Investasi Saham Bank Badan Usaha Milik Negara (BUMN) Menggunakan Metode Varian Covarian dan Metode Simulasi Monte Carlo. IST AKPRIND Yogyakarta
Pratiwi N, 2014, Estimasi Penyesuaian Likuiditas Terhadap Value At Risk dengan Metode Varian-Kovarian. Jurnal teknologi Technoscienti, IST AKPRIND Yogyakarta, Yogyakarta.
Yohanna, A, 2020, Analisis Value at Risk dalam Pembentukan Portofolio Optimal (Studi Kasus Perusahaan Perbankan di Indonesia) Universitas Borneo Tarakan
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