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        <dc:title>ANALISIS RISIKO PORTOFOLIO OPTIMAL GLOBAL MINIMUM VARIANCE (GMV) MENGGUNAKAN VALUE AT RISK (VAR) – EXPONENTIALLY WEIGHTED MOVING AVERAGE (EWMA) (STUDI KASUS: JAKARTA ISLAMIC INDEX (JII) PERIODE JANUARI 2021 – DESEMBER 2025)</dc:title>
        <dc:creator>Nadiva Freya Danella, NIM.: 22106010026</dc:creator>
        <dc:subject>515.6 Metode Analitik - Matematika</dc:subject>
        <dc:description>The rapid growth of Islamic investment in Indonesia necessitates adaptive risk&#13;
management strategies, particularly for stocks included in the Jakarta Islamic Index&#13;
(JII). This study aims to analyze the optimal portfolio formation process using&#13;
Global Minimum Variance (GMV), determine optimal portfolio weights, and&#13;
analyze portfolio returns and risks using Value at Risk (VaR) using Exponentially&#13;
Weighted Moving Average (EWMA) volatility estimation for JII stocks. This study&#13;
uses monthly data from the Jakarta Islamic Index (JII) for the period January 2021–&#13;
December 2025. The GMV model is used to determine portfolio weights with nonnegative&#13;
constraints (without short selling) in accordance with sharia principles,&#13;
while VaR–EWMA is used to estimate volatility and measure portfolio risk more&#13;
responsive to market changes. The results show that the optimal portfolio weights&#13;
are dominated by INDF (18.92%), TLKM (13.23%), SIDO (12.98%), and EXCL&#13;
(12.01%), with no negative weights. The GMV portfolio generated an expected&#13;
annual return of 15.21% with an annual volatility of 8.45%. The risk level,&#13;
measured using the 95% VaR normal method, yielded an average VaR of 2.92% per&#13;
month, so that for an investment of IDR 100 million, the maximum loss is estimated&#13;
to be around IDR 2.9 million per month. Kupiec backtesting results showed that the&#13;
VaR-EWMA model has good accuracy with a p-value of 0.9762 and an actual&#13;
breach rate of 5.08%, which is close to the expected breach rate of 5.00%. These&#13;
results indicate that the GMV and VaR-EWMA models are effective in forming an&#13;
optimal portfolio with measurable risk and sensitivity to market changes.</dc:description>
        <dc:date>2026-05-26</dc:date>
        <dc:type>Thesis</dc:type>
        <dc:type>NonPeerReviewed</dc:type>
        <dc:format>text</dc:format>
        <dc:language>id</dc:language>
        <dc:identifier>https://digilib.uin-suka.ac.id/id/eprint/76840/1/22106010026_BAB-I_IV-atau-V_DAFTAR-PUSTAKA.pdf</dc:identifier>
        <dc:format>text</dc:format>
        <dc:language>id</dc:language>
        <dc:identifier>https://digilib.uin-suka.ac.id/id/eprint/76840/2/22106010026_BAB-II_sampai_SEBELUM-BAB-TERAKHIR.pdf</dc:identifier>
        <dc:identifier>  Nadiva Freya Danella, NIM.: 22106010026  (2026) ANALISIS RISIKO PORTOFOLIO OPTIMAL GLOBAL MINIMUM VARIANCE (GMV) MENGGUNAKAN VALUE AT RISK (VAR) – EXPONENTIALLY WEIGHTED MOVING AVERAGE (EWMA) (STUDI KASUS: JAKARTA ISLAMIC INDEX (JII) PERIODE JANUARI 2021 – DESEMBER 2025).  Skripsi thesis, UIN SUNAN KALIJAGA YOGYAKARTA.   </dc:identifier></oai_dc:dc>
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