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Journal : Jurnal Scientia

Comparative Analysis Of PT Pegadaian's Financial Performance Before And After It Was Acquisited By PT Bank Rakyat Indonesia (Persero) TBK Dwi Wuryantadi; Dudi Rudianto
Jurnal Scientia Vol. 13 No. 03 (2024): Education and Sosial science, June - August 2024
Publisher : Sean Institute

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Abstract

This research aims to compare the financial performance of PT Pegadaian before and after its acquisition by PT Bank Rakyat Indonesia (Persero) Tbk. The data source in this research is secondary data in the form of company financial reports obtained through the PT Pegadaian website. The sample in this research is the profitability ratio of PT Pegadaian in 2018 and 2019 before the acquisition and in 2022 and 2023 after PT Pegadaian was acquired by PT Bank Rakyat Indonesia (Persero) Tbk. The type of research used was quantitative descriptive and different tests and used the Wilcoxon signed rank test and Kruskal Wallis analysis techniques. The research results found that the acquisition strategy policy turned out that PT Pegadaian's financial performance before and after being acquired by PT Bank Rakyat Indonesia (Persero) Tbk had no significant differences either partially or simultaneously in terms of the profitability ratio with the Return On Assets (ROA), Return On indicators. Equity (ROE), Operating Expenses to Operating Income (BOPO), Net Interest Margin (NIM), Net Operating Margin (NOM), Equity to Paid-in Capital Ratio and Profit Component Performance.
Portfolio Optimization Using The Capital Asset Pricing Model (CAPM) And Multi Index Model In LQ45 Companies Bayu Arifin; Dudi Rudianto
Jurnal Scientia Vol. 13 No. 03 (2024): Education and Sosial science, June - August 2024
Publisher : Sean Institute

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Abstract

This study aims to determine the results of portfolio optimization using the Capital Asset Pricing Model (CAPM) and Multi Index Model in LQ45 companies. The research utilizes monthly stock data that consistently appear in the LQ45 index on the Indonesia Stock Exchange from 2012 to 2022. Seventeen stocks were selected: ADRO, ASII, BBCA, BBNI, BBRI, BMRI, ICBP, INCO, INDF, INTP, KLBF, MNCN, PTBA, SMGR, TLKM, UNTR, and UNVR. The data was collected from January 2012 to December 2022. Using the CAPM model, no optimal portfolio was formed. However, using the Multi Index Model, an optimal portfolio was formed consisting of four stocks: INDF, INTP, MNCN, and TLKM, generating a return of 0.28% and a risk of 1.29%. This study concludes that the Multi Index Model is capable of demonstrating optimal portfolio results.