Pengukuran Value At Risk (Var) Saham Perbankan Dalam Indeks IDX30 Dengan Metode Simulasi Historis
Abstract
The problem of the investor is to determine assets for invested until gets profits and not losses. Calculate value the risk using the measurement Value at Risk. The method used Historical Simulation Method by ignoring the normality and time series. This research using secondary data, closing price daily data of the stock banking listed on the IDX30 index in the period August 2020 - July 2021. Calculate data analysis of the daily return of a stock, determine the confident level and time period, estimate the maximum loss and calculate the value of the VaR of each stock. Based on the results of the research when the range of confident 95%, the time series of one day and the initial investment is assumed to Rp.100.000.000 to six banking stocks that BBCA Rp. 2.189.429, BBNI Rp.3.176.740, BBRI Rp. 3.129.625, BBTN Rp. 3.939.326, BMRI Rp. 3.348.373 and BTPS Rp.3. 953.960.
Full Text:
PDFReferences
Herlianto, Didit. 2013. Manajemen Investasi Plus Jurus Mendeteksi Investasi Bodong. Yogyakarta: Gosyen Publishing.
Tandelilin, Eduardus. 2010. Portofolio dan Investasi Teori dan Aplikasi. Yogyakarta: Kanisius.
Hardle, Wolfgang Karl dan Leopold Simar. 2014. Applied Multivariate Statistical Analysis Fourth Edition. New York: Springer Berlin Heidelberg.
Hartono, Jogiyanto. 2017. Teori Portofolio dan Analisis Investasi (Edisi Kesebelas). Yogyakarta: BPFE Yogyakarta.
Sofiana, Nita. 2011. “Pengukuran Value at Risk Pada Portofolio dengan simulasi monte carlo (Studi Kasus: Harga penutupan saham Harian PT. Telekomunikasi Indonesia Tbk dan PT. Unilever Indonesia Tbk Bulan Januari-Desember 2010)”, Skripsi 32 Hal,. Universitas Negeri Yogyakarta, Yogyakarta, Indonesia, Juli 2011.
Ismanto, Hadi. 2016. Analisis Value At Risk dalam Pembentukan Portofolio Optimal (Studi Empiris Pada Saham Yang Tergabung Dalam LQ45). The 3^rd University Research Colloquium. ISSN: 2407 – 9189.
Luthfiyanti, Afra Moudi dan Media Rosha. 2020. Analisis Risiko Portofolio dengan Value at Risk (VaR) menggunakan Simulasi Monte Carlo. UNPjoMath. Vol. 3(3):1-5, ISSN:977 235516589
Maruddani, Di Asih I dan Ari Purbowati. 2009. Pengukuran Value At Risk Pada Aset Tunggal dan Portofolio dengan Simulasi Monte Carlo. Media Statistika. Vol 2(2): 93 – 104.
Jorion, Philippe. 2007. Value at Risk The New Benchmark For Managing Financial Risk Third Edition. New York: The McGraw Hill Companies.
Wicaksono, Bayu Hadi, Yuciana Wilandari dan Agus Rusgiyono. 2014. Perbandingan Metode Variance Covariance Dan Historical Simulation
Untuk Mengukur Risiko Investasi Reksa Dana. Jurnal Gaussian. Vol. 3(4):585-594, ISSN: 2339 – 2541.
DOI: http://dx.doi.org/10.24036/unpjomath.v6i4.12282