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NI LUH NIKASARI
Faculty of Mathematics and Natural Sciences, Udayana University
Mathematics

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ESTIMASI NILAI AVERAGE VALUE AT RISK PADA SAHAM PORTOFOLIO DENGAN MENGGUNAKAN METODE ANALISIS KOMPONEN UTAMA NI LUH NIKASARI; KOMANG DHARMAWAN; I GUSTI AYU MADE SRINADI
E-Jurnal Matematika Vol 6 No 1 (2017)
Publisher : Mathematics Department, Faculty of Mathematics and Natural Sciences, Udayana University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/MTK.2017.v06.i01.p148

Abstract

There are several methods that can be used to measure the risk of a portfolio of stocks. One of them is Average Value at Risk (AVaR). The purpose of this study is to implement Principal Component Analysis (PCA) to select stocks to be incorporated in the portfolio and also to compare the AVaR of the portfolio when  the stocks selected using PCA and selected using mean-variance method. The data we used are the closing price of the stocks BBCA, BDMN, ICBP, INTP, CPIN, KLBF, GGRM, MNCN, SMCB, and SGRO. The selected stocks using PCA are BBCA, CPIN, INTP and, MNCN with AVaR is 1.0971% for 90% confidence level and for 95% confidence level is 1.1432% whereas by using mean variance method, it is found that BDMN, GGRM, ICBP, and SMCB have to be incorporated in the portfolio with AVaR is 1.3314% for 90% confidence level and 1.4263% for 95% confidence level.
Co-Authors I Gusti Ayu Made Srinadi Komang Dharmawan