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Assessment of Indonesian Banking Stock Performance Using the Multi-Index Approach 2018-2022 Laksana, Reksha; Wardini, Anggi Putri Kusuma; Gustirani, Indri
ADPEBI International Journal of Business and Social Science Vol. 5 No. 2 (2025)
Publisher : Asosiasi Dosen Peneliti Ilmu Ekonomi dan Bisnis Indonesia (Adpebi)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54099/aijbs.v5i2.1242

Abstract

company stocks on Indonesia Stock Exchange (IDX) in the period 2018 to 2022. Methodology/approach – It is a quantitative descriptive research and the sampling method used purposive sampling. Over the observation period, 2220 monthly closing data points were collected from 37 banking company stocks as a sample. Findings – The research results indicate based on the Sharpe Index, ARTO and BNLI exhibit the best performance. According to the Treynor Index, BMRI show the best performance, while the Jensen Index highlights BBHI as having the best performance. Novelty/value – These findings can be valuable for investors in making informed decisions regarding their investments in banking companies on Indonesian Stock Exchange.
ANALISIS TEKANAN EKSTERNAL, KETIDAKEFEKTIFAN PENGAWASAN, DAN KARAKTERISTIK INDUSTRI DALAM MENDETEKSI KECURANGAN LAPORAN KEUANGAN Sukiati , Wiwin; Marcela , Luisa; Gustirani, Indri; Dwijayanti , Rima
Jurnal SIKAP (Sistem Informasi, Keuangan, Auditing Dan Perpajakan) Vol 9 No 1 (2024): Oktober
Publisher : Universitas Sangga Buana

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Abstract

This study aims to examine the influence of external pressure, ineffective monitoring, and industry conditions on financial statement fraud. The research utilizes secondary data in the form of annual financial reports of companies, which are accessible through the Indonesia Stock Exchange (IDX) website, covering the period from 2020 to 2022. The population consists of 79 manufacturing companies in the basic and chemical industry sector. The sampling method employed is purposive sampling, resulting in a final sample of 23 manufacturing companies in the basic and chemical industry sector listed on the Indonesia Stock Exchange. Financial statement fraud is measured using the Beneish M-Score, and the analytical technique applied is multiple linear regression. The analysis is conducted using EViews 12 software.