eprintid: 78689
rev_number: 10
eprint_status: archive
userid: 12460
dir: disk0/00/07/86/89
datestamp: 2026-10-05 08:35:25
lastmod: 2026-10-05 08:35:25
status_changed: 2026-10-05 08:35:25
type: thesis
metadata_visibility: show
contact_email: muh.khabib@uin-suka.ac.id
creators_name: Dinda Kusuma Sari, NIM.: 22106010061
title: ANALISIS RISIKO PORTOFOLIO OPTIMAL BERBASIS SINGLE INDEX MODEL MENGGUNAKAN VALUE AT RISK (VAR) DENGAN METODE HISTORICAL SIMULATION (STUDI KASUS: SAHAM IDX30 PERIODE JANUARI 2025 – DESEMBER 2025)
ispublished: pub
subjects: 560
divisions: jur_mat
full_text_status: restricted
keywords: Historical Simulation, IDX30, Portofolio Optimal, Single Index
Model, Value at Risk
note: Sri Utami Zuliana, S.Si., M.Sc., Ph.D.
abstract: A portfolio is a collection of assets used to diversify and manage
investment risk. An optimal portfolio is needed to obtain a combination of
stocks that maximizes returns while minimizing risk. This study aims to analyze
optimal portfolio formation using the Single Index Model (SIM), determine stock
investment weights, and measure portfolio risk using Value at Risk (VaR) with the
Historical Simulation approach. The data consist of daily closing prices of IDX30
stocks and the IHSG from January to December 2025. Stocks were initially selected
based on an expected return greater than the risk-free rate (E(Ri) > Rf ), followed
by selecting stocks with Excess Return to Beta (ERB) greater than or equal to the
cut-off point (ERB ≥ C∗). The results show that eight stocks were selected to
form the optimal portfolio namely BRPT, ANTM, ASII, UNVR, INCO, MDKA,
MBMA, and MEDC. The two largest investment weights were BRPT at 38.59%,
with an expected return of 0.6174%, and ANTM at 30.98%, with an expected return
of 0.3595%. SIM simplifies parameter estimation while considering market factors,
but is limited to a single market factor. Historical Simulation requires no specific
distributional assumption but depends on historical data quality. VaR increases with
the investment horizon due to the square-root-of-time rule. At a 95% confidence
level, one-day VaR was Rp3,184,844 and was valid based on the Kupiec POF test.
date: 2026-08-03
date_type: published
pages: 178
institution: UIN SUNAN KALIJAGA YOGYAKARTA
department: FAKULTAS SAINS DAN TEKNOLOGI
thesis_type: skripsi
thesis_name: other
citation:   Dinda Kusuma Sari, NIM.: 22106010061  (2026) ANALISIS RISIKO PORTOFOLIO OPTIMAL BERBASIS SINGLE INDEX MODEL MENGGUNAKAN VALUE AT RISK (VAR) DENGAN METODE HISTORICAL SIMULATION (STUDI KASUS: SAHAM IDX30 PERIODE JANUARI 2025 – DESEMBER 2025).  Skripsi thesis, UIN SUNAN KALIJAGA YOGYAKARTA.   
document_url: https://digilib.uin-suka.ac.id/id/eprint/78689/1/22106010061_BAB-I_IV-atau-V_DAFTAR-PUSTAKA.pdf
document_url: https://digilib.uin-suka.ac.id/id/eprint/78689/2/22106010061_BAB-II_sampai_SEBELUM-BAB-TERAKHIR.pdf