Abdul Haris
Universitas Wira Bhakti, Makassar, Indonesia

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The Impact of Fundamental and Technical Factors on Bank Stock Prices in Indonesia Muhammad Yahya; Abdul Haris
Advances: Jurnal Ekonomi & Bisnis Vol. 4 No. 1 (2026): January - February
Publisher : Yayasan Pendidikan Bukhari Dwi Muslim

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60079/ajeb.v4i1.894

Abstract

Purpose: This study aims to analyze the influence of fundamental and technical factors on the stock prices of banking companies listed on the Indonesia Stock Exchange during the 2020–2022 period. The study addresses the need for investors and company management to understand better the determinants of stock value in the banking sector. Research Method: This research employs a quantitative approach using secondary data. The population consists of 47 banking companies listed on the Indonesia Stock Exchange during the observation period. Data were analyzed using classical assumption tests, multiple linear regression, the coefficient of determination, the correlation coefficient, and hypothesis testing using simultaneous and partial tests. Results and Discussion: The findings show that the current ratio, return on assets, and debt-to-asset ratio have a positive and significant effect on banking stock prices. Total asset turnover has a negative but insignificant effect. From the technical factor perspective, interest rates have a positive and significant effect on stock prices, while inflation has a negative and significant effect. These results indicate that both internal financial performance and external macroeconomic conditions influence banking stock valuation. Implications: The findings provide practical guidance for investors in making investment decisions and for banking management in improving financial performance. Originality: This study integrates fundamental financial ratios and macroeconomic technical indicators to explain banking stock price movements in Indonesia.
Market Data Collection and Analysis Challenges for Accurate Marketing Strategies Abdul Haris
Advances in Business & Industrial Marketing Research Vol. 3 No. 3 (2025)
Publisher : Yayasan Pendidikan Bukhari Dwi Muslim

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60079/abim.v3i3.639

Abstract

Purpose: This study evaluates companies' constraints in market data collection and analysis for developing accurate marketing strategies. It explores how fragmented data sources, inconsistent data quality, technological limitations, and organizational challenges hinder effective data-driven decision-making. Research Design and Methodology: This research employs a qualitative approach through a systematic literature review (SLR), synthesizing insights from peer-reviewed journals, books, and credible databases. The analysis identifies common themes, challenges, and best practices in marketing strategy development related to market data management. Findings and Discussion: The study identifies key challenges, including fragmented data platforms, inconsistent data standards, limited adoption of advanced analytical technologies, and organizational silos. These constraints lead to ineffective marketing strategies due to poor data integration and limited insights. The findings emphasize the importance of adopting advanced technologies, such as artificial intelligence (AI), machine learning (ML), and cloud-based platforms, alongside strengthening cross-functional collaboration and data literacy within organizations. Implications: This study provides valuable insights for both academia and industry. For practitioners, it offers actionable strategies for overcoming data-related challenges, including investing in integrated data platforms, promoting cross-departmental collaboration, and enhancing employee analytical skills. Academically, it enriches existing literature by bridging theoretical frameworks with practical applications. Future research should focus on empirical validation and industry-specific case studies to further advance understanding in this field.