ESTIMASI NILAI AVERAGE VALUE AT RISK PADA SAHAM PORTOFOLIO DENGAN MENGGUNAKAN METODE ANALISIS KOMPONEN UTAMA
| Main Authors: | NIKASARI, NI LUH; Faculty of Mathematics and Natural Sciences, Udayana University, DHARMAWAN, KOMANG; Faculty of Mathematics and Natural Sciences, Udayana University, SRINADI, I GUSTI AYU MADE; Faculty of Mathematics and Natural Sciences, Udayana University |
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| Format: | Article application/pdf eJournal |
| Bahasa: | eng |
| Terbitan: |
E-Jurnal Matematika
, 2017
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| Subjects: | |
| Online Access: |
http://ojs.unud.ac.id/index.php/mtk/article/view/27183 |
Daftar Isi:
- 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.