Sim, Yulia Melyanda
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Examining the Correlation between Macroeconomic Factors and Stock Indices: A Comparative Analysis of IHSG and Nikkei Sim, Yulia Melyanda; Kaluge, David
EkBis: Jurnal Ekonomi dan Bisnis Vol. 7 No. 2 (2023): EkBis: Jurnal Ekonomi dan Bisnis
Publisher : Fakultas Ekonomi dan Bisnis Islam, UIN Sunan Kalijaga Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14421/EkBis.2023.7.2.2101

Abstract

This comprehensive research investigates the intricate relationship between macroeconomic factors and stock market performance, specifically focusing on the Indonesia Stock Exchange Composite Index (IHSG) and the Nikkei Stock Average. Employing a robust quantitative approach, the study emphasizes key variables such as inflation, exchange rates, interest rates, GDP growth, and oil prices, utilizing regression analysis to unravel unique patterns within the Indonesian and Japanese markets. For IHSG, significant negative correlations with inflation highlight its impact on purchasing power and corporate profitability. The non-significant relationship with the Bank Indonesia Interest Rate (BI Rate) emphasizes market resilience to interest rate fluctuations. The significant negative correlation with the Rupiah underscores the pivotal role of currency stability. Additionally, the non-significant relationship with oil prices suggests a limited influence on IHSG movements. Turning to the Nikkei, non-significant relationships with inflation, the Bank of Japan (BOJ) Rate, GDP, exchange rates, and oil prices underscore the diverse factors at play. These findings offer valuable insights for investors, policymakers, and researchers, enriching the understanding of the multifaceted influences shaping the relationship between macroeconomic conditions and stock market dynamics in Indonesia and Japan. The study contributes empirically rich insights, addressing gaps in existing literature and paving the way for informed decision-making in the complex landscape of global financial markets.
Fintech And Financial Access: Demographic Drivers Of Fi-nancial Inclusion In Indonesia Sim, Yulia Melyanda
Contemporary Studies in Economic, Finance and Banking Vol. 5 No. 1 (2026)
Publisher : Fakultas Ekonomi dan Bisnis Universitas Brawijaya

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Abstract

This study explores the influence of infrastructural and demographic determinants on the adoption of FinTech in Indonesia using Global Findex 2021 data. The binary dependent variable is an indicator of mobile money or digital payments usage. Probit and Logit models are applied to examine such variables as employment, income, education, age, gender, rural residence, phone possession, and internet usage. Results show that education, employment, gender, mobile phone, and internet usage significantly and positively affect adoption, but income and age do not. Logit model fits better as per fit statistics and residual analysis. The results confirm the need for inclusive infrastructure and digital literacy to drive financial inclusion.