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The Development of Accounting in Indonesia Naimah Naimah; Grace Setiawan; Yuliawati Maulida; Eko Prio Wibowo; Holiawati Holiawati
Indonesian Financial Review Vol. 5 No. 1 (2025)
Publisher : Yayasan Pendidikan Penelitian dan Pengabdian Al-amsi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55538/ifr.v5i1.111

Abstract

This study examines the historical trajectory of accounting development in Indonesia and how it has evolved through institutional reform, global convergence, and technological transformation. Using a qualitative historical approach and content analysis of academic and regulatory sources, the study identifies eight major phases of accounting evolution, from the colonial era to the digital transformation period. The findings reveal that Indonesia’s accounting development has been shaped by political transitions, economic reforms, and technological advances—particularly the adoption of International Financial Reporting Standards (IFRS) and automation systems. The study uniquely integrates institutional change theory and global convergence theory to explain how domestic accounting practices internalize international norms while retaining local identity. This research contributes to accounting historiography in emerging economies and highlights the strategic role of accountants in digital governance, education, and sustainable professional development.
The Comparative Effectiveness of RSI and MACD Indicators in Managing Stock Price Volatility of Indonesian State-Owned Banks in 2024 Sunarto Sunarto; Irenne Putren; Yunita Kwartarani; Islam Ali Akbar; Siti Aisyah Nurrizqi; Holiawati Holiawati
Indonesian Financial Review Vol. 5 No. 2 (2025)
Publisher : Yayasan Pendidikan Penelitian dan Pengabdian Al-amsi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55538/ifr.v5i2.114

Abstract

This study investigates the effectiveness of the Relative Strength Index (RSI) and Moving Average Convergence Divergence (MACD) in mitigating stock price volatility in Indonesian state-owned banks (BUMN) during 2024. Using a quantitative approach with daily secondary data, panel data regression with a Fixed Effect Model (FEM) was employed, supported by classical assumption tests, t-tests, and F-tests. The findings show that RSI and MACD each have a significant positive effect on stock prices, and together explain 98.45% of price movements. RSI effectively identifies overbought and oversold conditions, signaling potential corrections, while MACD consistently captures trend momentum and reversals. The integration of both indicators provides a more robust analytical framework for anticipating volatility and optimizing investment decisions. This study enriches technical analysis literature by highlighting the complementary roles of RSI and MACD in strengthening decision-making strategies amid market uncertainty in emerging capital markets.