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This study examines the factors influencing Indonesia’s motor vehicle exports to nine developing countries using the gravity model approach with long-term and short-term panel data. The variables analyzed include the Gross Domestic Product (GDP) of partner countries, exchange rates, economic distance, and trade cooperation agreements. The data are analyzed using the Error Correction Model (ECM) to capture short-term dynamics and long-term relationships. The long-term results show that partner countries’ GDP has a significant positive effect on Indonesia’s vehicle exports, indicating that economic growth in partner countries increases demand for Indonesian automotive products. Conversely, exchange rates and economic distance have significant negative effects, suggesting that depreciation of partner currencies and economic disparities reduce export volumes. Trade cooperation agreements do not have a significant impact in the long term. In the short term, changes in GDP continue to have a significant positive effect, while exchange rates maintain a significant negative impact on exports. Economic distance and trade agreements are not significant in the short term. The significant and negative error correction term (ECT) confirms the existence of an adjustment mechanism toward long-term equilibrium. This study highlights the importance of partner countries’ economic growth and exchange rate stability in supporting Indonesia’s vehicle exports to developing countries, as well as the need to address structural barriers to improve long-term competitiveness.

Economic growth is the process of increasing a country's production capacity to generate goods and services over a specific period, reflecting the income and well-being of its people. This research aims to analyse the influence of labor, exchange rates, and exports on the Gross Domestic Product (GDP) of the manufacturing sector in Indonesia during the period 2010-2024. The method used is multiple linear regression analysis with the Ordinary Least Square (OLS) approach, using secondary data obtained from the Central Bureau of Statistics (BPS) and Bank Indonesia (BI). The research results indicate that all three independent variables, namely labor, exchange rate, and exports, have a positive and significant impact on the GDP of the manufacturing sector, both partially and simultaneously. The coefficient of determination (Adjusted R2) value of 0.9633 indicates that 96.33% of the variation in industrial sector GDP can be explained by these three variables, while 3.76% is influenced by factors outside the model. This research confirms that increased labour productivity, exchange rate stability, and export growth play an important role in strengthening the performance of the manufacturing sector in Indonesia. Therefore, policies focused on improving the quality of human resources, strengthening export competitiveness, and ensuring macroeconomic stability are needed to support the sustainable and globally competitive growth of the manufacturing sector.

Economic development strategies play a crucial role in achieving sustainable growth through increased national productivity and equitable welfare distribution. The stability of macroeconomic indicators such as inflation, exchange rates, and gross domestic product growth reflects the effectiveness of government development policies. This study aims to analyze the relationship between economic development strategies and macroeconomic equilibrium in Indonesia by examining the interconnection between the product market and the money market. The research adopts a qualitative approach using literature studies derived from scholarly journals, academic articles, and economic publications obtained from Google Scholar and other credible sources. The findings indicate that maintaining balance between the product market and the money market contributes significantly to national economic stability. A well-coordinated synergy between fiscal and monetary policies is essential to preserve macroeconomic stability and ensure that economic development progresses inclusively and sustainably amid global challenges.

The Jakarta Composite Index (JCI), also known as the Indonesia Composite Index is a key indicator that reflects the performance of the Indonesian capital market and serves as a reference for assessing economic conditions and making investment decisions. This study aims to examine the influence of macroeconomic factors such as inflation, the rupiah exchange rate, and interest rates along with an external factor, the Dow Jones Index, on the JCI during the period 2020–2024. This research contributes by incorporating the DJIA as a proxy for global market effects on the JCI and by using the most recent and comprehensive dataset covering the pandemic and subsequent economic recovery. A quantitative approach was employed, using monthly time-series secondary data. The study applied saturated sampling, resulting in 60 observations. The data were obtained from official sources, namely the Indonesia Stock Exchange (IDX), Bank Indonesia (BI), the Central Statistics Agency (BPS), and Investing.com. Multiple linear regression was used as the analysis technique. The results show that inflation and the Dow Jones Index have a significant positive effect with the JCI, while the rupiah exchange rate has a significant negative effect. In contrast, interest rates do not show a significant effect on the JCI. These findings suggest that investors should consider inflation, the exchange rate, and global market movements (DJIA) when making investment decisions, while interest rates may play a less prominent role.  

Banking stability plays a crucial role in maintaining financial system resilience and supporting national economic growth. Fluctuations in macroeconomic factors often impact banks' financial health, particularly their capital. This study aims to explore how macroeconomic factors such as inflation, central bank benchmark interest rates, and gross domestic product (GDP) impact capital adequacy ratio (CAR) in conventional banks listed on the Indonesia Stock Exchange (IDX) from 2020 to 2024. This study employed a quantitative approach with an associative design, utilizing secondary data. The sample size for this study was 43 conventional banks. Data analysis was performed using multiple linear regression using SPSS. The findings indicate that inflation and benchmark interest rates do not significantly impact financial health, while GDP indicators show a modest positive trend. These findings confirm that macroeconomic conditions are not yet a dominant factor in determining bank capital adequacy. Therefore, it is suspected that internal factors such as risk management, profitability, and operational efficiency play a greater role in maintaining bank capital stability.

The purpose of this study is to analyze the effect of interest rates and economic growth on stock returns in companies in the energy sector listed on the Indonesia Stock Exchange during the period 2019 to 2023. The method used is a quantitative approach with panel data regression analysis. The study population includes 90 company data from the sector. The sample was determined through a purposive sampling method, resulting in 46 companies that meet the established criteria. The results of the study indicate that interest rates have a significant effect on stock returns, while economic growth also shows a significant effect.

This study aims to determine and analyze the development and influence of exports, exchange rates, inflation, and GRDP on the exchange rate of smallholder plantation farmers in Jambi Province. This study uses multiple linear regression analysis for the period 2009-2024 in Jambi Province. The development of exports, exchange rates, inflation, and GRDP fluctuates annually. Where the average development of exports in Jambi Province in 2009-2024 was 15.22%, the average development of exchange rates was 3.06%, the average development of inflation was 49.07%, the average development of GRDP was 6.22% and the average development of the exchange rate of smallholder plantation farmers in Jambi Province was 4.57%. The results of the study using multiple linear regression resulted in the finding that the variables of exports, exchange rates, inflation, and GRDP simultaneously influenced the exchange rate of smallholder plantation farmers in Jambi Province in 2009-2024. Meanwhile, partially, the export, exchange rate, and inflation variables have a negative effect on the exchange rate of farmers in the smallholder plantation sub-sector in Jambi Province, while the GRDP variable has a substantial positive effect on the exchange rate of farmers in the smallholder plantation sub-sector in Jambi Province in 2009-2024.

This study aims to determine the effect of interest rates and inflation on the profitability of property and real estate sector companies listed on the Indonesia Stock Exchange (IDX) during the period 2020-2024. Profitability is measured using the Return on Assets (ROA) ratio, while interest rates refer to the BI-7 Day Reverse Repo Rate and inflation is calculated based on the Consumer Price Index (CPI) data from Bank Indonesia. This study uses a quantitative approach with multiple linear regression analysis methods and classical assumption tests supported by data processing using SPSS version 27 software. The sample was selected using purposive sampling techniques with criteria of companies that consistently submit annual financial reports, do not record losses during the research period, and use the Rupiah currency. The research results indicate that partially, interest rates have a positive and significant effect on profitability, while inflation does not have a significant effect on profitability. However, simultaneously, interest rates and inflation together have a significant effect on the company's profitability. These findings are expected to serve as a strategic reference for companies in formulating financial policies to maintain profitability stability amidst macroeconomic dynamics.

This study aims to analyze the effect of changes in interest rates, exchange rates, economic growth, and world oil prices on stock returns in the transportation and logistics sector in Indonesia during the period 2006–2024. This sector was chosen because it is highly vulnerable to fluctuations in macroeconomic factors that have a direct impact on companies' operating costs and financial performance. The method used is multiple linear regression with an annual panel data approach, using a sample of transportation and logistics companies listed on the Indonesia Stock Exchange. The independent variables include changes in interest rates, exchange rates, economic growth, and oil prices, while the dependent variable is stock returns. The results show that, partially, only changes in interest rates have a significant negative effect on stock returns. Conversely, exchange rates, economic growth, and oil prices have no statistically significant effect. Simultaneously, these four variables also show no significant effect on stock returns. This study makes a new contribution through the use of a long observation period and a focus on the transportation and logistics sector, thereby providing a deeper understanding of this sector's sensitivity to macroeconomic conditions.

Financial distress refers to a condition where a company experiences financial difficulties and if it is not resolved immediately, it will lead to bankruptcy. Several models can be used to measure financial distress, one of which is the Zmijewski model. This study aims to analyze the influence of financial ratios and macroeconomic factors on financial distress among technology companies listed on the Indonesia Stock Exchange. The research was conducted at technology companies listed on the IDX for the 2020–2024 period, with a sample size of 44 companies selected using a purposive sampling method. The study employed secondary data derived from company financial statements obtained through the official IDX website and analyzed using SPSS version 27. The findings reveal that financial ratios specifically, profitability (ROE) have a significant negative effect on financial distress, while leverage (DER) has a significant positive effect. Meanwhile, macroeconomic factors such as inflation and interest rates have no effect on financial distress.

This study aims to analyze the influence of inflation and interest rates on banking profitability as measured through Return on Assets (ROA) in conventional banks listed on the Indonesia Stock Exchange (IDX) during the 2020–2024 period. The research was conducted from April to May 2025 with a quantitative approach and multiple linear regression analysis methods. The data used are secondary data obtained from the annual financial statements of eight conventional banks as well as macroeconomic data from Bank Indonesia, which were selected through the purposive sampling method. The data analysis process includes descriptive statistics, classical assumption test, t test, F test, and determination coefficient. The results of the study show that partially, neither inflation nor interest rates have a significant effect on ROA. This is shown by the value of t calculating inflation of 0.049 < t table 2.02619 with a significance of 0.961 > 0.05, and t calculating interest rates of 1.163 < t table 2.02619 with a significance of 0.252 > 0.05. However, simultaneously, inflation and interest rates have a significant effect on ROA, as shown by the calculated F value of 8.698 > F table 3.25 and the significance of 0.001 < 0.05. These findings indicate that although individual macroeconomic variables do not have a significant impact, together they have an influence on banking profitability. This research contributes to policy makers and banking industry players in understanding macroeconomic dynamics on banks' financial performance.

This study uses a quantitative associative approach to analyze the influence of exports, imports, inflation, and exchange rates on economic growth in five ASEAN member countries: Indonesia, Malaysia, Singapore, Thailand, and Vietnam. The data used are secondary data obtained from the World Bank for the period 2013–2023. The analysis technique used is the Panel Autoregressive Distributed Lag (Panel ARDL) Model, which begins with stationarity and cointegration tests. Results The ARDL Panel Model estimation in this study is declared valid because it meets the main requirements, namely having a cointegrated lag with a negative coefficient value of -0.831550 and significant at the 5% significance level (probability 0.0000 < 0.05). The long-term estimation results indicate that only the inflation variable has a significant influence on Gross Domestic Product (GDP) in the 5 ASEAN countries studied. Meanwhile, in the short term, no variables were found to have a significant influence on GDP in the 5 countries. Furthermore, country-level estimations show varying results. Indonesia is the only country that shows a significant influence of exports, imports, inflation, and exchange rates on GDP. Thailand shows a significant influence of exports and exchange rates, while Malaysia, Singapore, and Vietnam do not show any significant influence of exports, imports, inflation, and exchange rates on GDP. These findings reflect that the relationship between macroeconomic variables and economic growth in ASEAN countries is heterogeneous and is strongly influenced by the structural characteristics of each country.

This study aims to analyze the financial performance of PT ABC Tbk during the period 2019–2023 using the Du Pont System as the primary analytical tool. The Du Pont System is widely recognized as a comprehensive method to evaluate a company’s overall performance by breaking down profitability into several key components: net profit margin, total asset turnover, return on investment (ROI), equity multiplier, and return on equity (ROE). The research employs a descriptive quantitative approach, with data sourced from secondary materials in the form of official financial statements published by the Indonesia Stock Exchange (IDX). A purposive sampling technique was applied to ensure the relevance and accuracy of the data analyzed. The findings reveal that the company’s financial performance throughout the five-year observation period has been less than optimal. Each of the main components of the Du Pont System showed average ratios that fell below the industry benchmark, indicating structural weaknesses in both profitability and efficiency. Specifically, the net profit margin and total asset turnover were constrained by high operational costs, while ROI and ROE were further pressured by volatility in foreign exchange rates. These inefficiencies highlight the vulnerability of the company’s financial structure to both internal management challenges and external macroeconomic factors. Based on the results, the study provides several strategic recommendations to improve financial performance. First, optimization of cost management is necessary to reduce operational inefficiencies that directly affect profit margins. Second, the implementation of foreign exchange risk mitigation strategies, such as hedging, is suggested to minimize the negative impacts of currency fluctuations. Finally, to strengthen revenue growth, the company is encouraged to adopt and expand digital marketing initiatives as a means of improving sales performance and market penetration. Overall, this study emphasizes the importance of integrating financial control with strategic innovation to ensure long-term sustainability and competitiveness in the pharmaceutical industry.

This study aims to evaluate the financial condition of four private banks, namely Bank Mega, Bank JTrust, Bank Danamon, and Bank Panin listed on the Indonesia Stock Exchange during the period 2015 to 2024. The analysis uses the Risk-Based Bank Rating (RBBR) approach with a quantitative method, where the data source is derived from published annual financial statements. The sampling technique was carried out by purposive sampling with the criteria of financial statements available for the last 10 years and the fluctuations in profits in the last three years. The bank's health assessment is carried out through four main aspects. First, the risk profile is measured using non-performing loan (NPL) ratios and liquidity levels through the Loan to Deposit Ratio (LDR). Second, Good Corporate Governance (GCG) is evaluated based on regulatory compliance and transparency reporting. Third, profitability which includes the return on asset ratio (ROA) and net interest margin (Net Interest Margin / NIM). Fourth, the capital aspect is analyzed through the Capital Adequacy Ratio (CAR). The results of the study show that in general, the four banks are in a healthy condition, especially in terms of capital and governance, which reflects the bank's ability to meet the minimum capital requirements and maintain management practices in accordance with banking industry standards. However, significant differences were found in the risk and profitability aspects. Banks that have less than optimal risk management tend to experience an increase in NPLs, while banks that are more efficient in managing operational costs are able to maintain ROA and NIM at a more stable level. In addition, external factors such as global economic conditions, monetary policy, interest rates, and interbank competition also affect financial performance.

This research seeks to examine the impact of inflation and exchange rates on the Jakarta Composite Index (JCI) on the Indonesia Stock Exchange (IDX) from 2019 to 2024. The study uses secondary monthly data for inflation, exchange rates, and the JCI, which were sourced from the official websites of Bank Indonesia and IDX. A quantitative approach is employed, utilizing multiple linear regression analysis along with classical assumption tests and both simultaneous and partial hypothesis testing. The findings reveal that, individually, both inflation and exchange rates have a significant effect on the JCI. When analyzed together, inflation and exchange rates also significantly influence the JCI. These results underscore the importance of macroeconomic stability, particularly the stability of the rupiah exchange rate, in shaping stock market trends in Indonesia. The study suggests that fluctuations in the inflation rate and the exchange rate can lead to uncertainty in the stock market, impacting investor decisions and market performance. These findings are particularly relevant in the context of Indonesia’s open economy, where external factors and global economic conditions can also influence domestic financial markets. This research aims to offer valuable insights to investors, policymakers, and academics, helping them understand how key macroeconomic variables, such as inflation and exchange rates, influence the dynamics of the capital market. The study emphasizes the need for maintaining economic stability to foster a conducive environment for market growth and investor confidence. By analyzing these macroeconomic factors, the study provides a clearer understanding of their role in stock market performance and offers a foundation for future research and policy development in the Indonesian financial market. Additionally, the results of this research could serve as a basis for further studies that explore the relationship between macroeconomic factors and stock market behavior in emerging markets.

The digital economy has significantly transformed economic growth by introducing innovations in payment systems and financial services. The modernization of payment instruments through monetary policy has enhanced the ability to control inflation and ensure financial system stability. This study aims to analyze the effectiveness of monetary policy and the utilization of the digital economy in maintaining financial stability in Indonesia. Using time series data from 2010 to 2024 obtained from the World Bank, this research applies the Vector Autoregression (VAR) method to examine both short-term and long-term relationships among variables, including e-money, money supply, inflation, exchange rate, interest rate, and credit card usage. The results show that e-money has a significant reciprocal influence on the money supply, while inflation is also affected by e-money and interest rates. The impulse response function demonstrates that the interactions among these variables tend to converge towards equilibrium over time. Variance decomposition analysis indicates that in the short term, e-money primarily drives financial stability, whereas in the medium and long term, the money supply plays a dominant role. Overall, the findings suggest that monetary policy, supported by digital economic systems, effectively enhances financial system stability in Indonesia. This research contributes to understanding the dual effect of digital payment innovations and provides recommendations for policymakers to strengthen financial inclusion, economic resilience, and macro-financial stability in the digital era.

This study aims to examine the effect of Thin Capitalization, Sales Growth, and Capital Intensity on Tax Avoidance, with Institutional Ownership as a moderating variable in coal sub-sector companies listed on the Indonesia Stock Exchange (IDX) during the 2019–2023 period. The background of this study is based on the importance of tax management as a company efficiency strategy, while maintaining compliance with tax regulations. The coal industry was chosen because of its capital-intensive characteristics, fluctuating sales growth rates, and the tendency of companies to engage in aggressive tax planning. The research method uses a quantitative approach with a purposive sampling technique, resulting in 50 company samples during the observation period. Data were analyzed using multiple linear regression with the help of E-Views 13 software to test the direct relationship between variables, and Moderated Regression Analysis (MRA) to test the role of Institutional Ownership as a moderating variable. The results show that Thin Capitalization has no significant effect on Tax Avoidance, which indicates that high debt ratios are not always utilized by companies to reduce tax burdens. Capital Intensity also had no significant effect on Tax Avoidance, indicating that the size of fixed asset investments does not directly influence tax avoidance practices. Conversely, Sales Growth had a significant positive effect on Tax Avoidance, indicating that high sales growth tends to encourage companies to optimize tax-saving strategies. Furthermore, the results of the moderation test revealed that Institutional Ownership did not moderate the relationship between Thin Capitalization, Sales Growth, or Capital Intensity on Tax Avoidance. This finding suggests that the supervisory role of institutional shareholders is ineffective in limiting or influencing tax avoidance strategies in coal companies. This research provides implications for regulators and investors to consider non-financial factors and governance mechanisms in efforts to control tax avoidance practices in strategic sectors like coal.

Indonesia’s Islamic capital market has experienced remarkable growth in recent years, evidenced by the increasing number of investors and the rising market capitalization of Sharia-compliant stocks. This article aims to analyze the performance and management strategies of Sharia stock portfolios by reviewing academic literature published in Indonesia between 2019 and 2024. Utilizing a literature review methodology, the study compares the return and risk characteristics of Sharia stocks with those of conventional stocks. It also evaluates the applicability and effectiveness of classical portfolio theories—namely, the Markowitz Model and the Single Index Model—in managing Sharia-compliant investments. The findings reveal that Sharia stock portfolios often perform competitively and tend to exhibit greater resilience and stability during financial crises. This resilience is attributed in part to the rigorous stock screening mechanisms that comply with Islamic principles, excluding sectors and companies that do not meet Sharia criteria. Additionally, various macroeconomic factors such as inflation, interest rates, exchange rates, and global economic fluctuations are found to impact the performance of Islamic stock portfolios. The article highlights that while Sharia investments align with ethical and religious values, they also offer practical advantages in risk management and diversification. Furthermore, digital technology and fintech innovation are seen as essential tools to enhance transparency, accessibility, and investor engagement in the Islamic capital market. The study concludes that the development of Sharia-compliant stock investments in Indonesia holds promising potential, especially if accompanied by improved financial literacy, inclusive investor education, and stronger technological infrastructure. This paper offers valuable insights for policymakers, market regulators, and investors interested in promoting sustainable and faith-based financial practices within Indonesia’s rapidly evolving capital market ecosystem.

This study investigates the monetary transmission mechanisms influencing inflation and exchange rates across seven Southeast Asian countries (Myanmar, the Philippines, Indonesia, Malaysia, Singapore, Thailand, and Vietnam) over the period 2010–2023, with special focus on the impact of the COVID-19 pandemic. The research addresses the problem of macroeconomic instability, particularly the volatility in inflation and currency values during crisis periods, and aims to identify the dominant monetary factors affecting these indicators. The study employs a mixed quantitative approach using Structural Vector Autoregression (SVAR), Panel Autoregressive Distributed Lag (ARDL), and Paired Sample t-Test to analyze the short-term and long-term relationships among key variables: Gross Domestic Product (GDP), investment, money supply (M2), interest rates, inflation, and exchange rates. Findings reveal that GDP is the most influential factor impacting both inflation and exchange rates, followed by money supply and interest rates. The variance decomposition analysis confirms that these monetary variables significantly explain macroeconomic fluctuations in both pre- and post-pandemic contexts. The t-Test further indicates statistically significant changes in inflation and exchange rates before and after the pandemic, highlighting the disruptive effect of COVID-19 on economic stability. The results demonstrate that inflation declined significantly in most countries during the pandemic, while exchange rate behavior varied depending on economic resilience and policy responsiveness. The study concludes that maintaining macroeconomic stability requires not only monetary policy coordination but also effective public health crisis management. This research contributes to the regional policy discourse by offering empirical insights and evidence-based recommendations to strengthen economic resilience in Southeast Asia.

This study aims to analyze the impact of the Russian invasion of Ukraine on February 24, 2022, on the Indonesian capital market, particularly on the stocks listed in the LQ45 index, as well as on exchange rates and cryptocurrency trading volumes. The research employs a quantitative approach using an event study method, focusing on a 15-day observation window—comprising 7 days before, the day of, and 7 days after the invasion event. The variables analyzed include abnormal return (AR), trading volume activity (TVA), exchange rates, and cryptocurrency transaction volume. The research sample consists of issuers listed in the LQ45 index and the three largest cryptocurrencies by market capitalization—Bitcoin, Ethereum, and Tether (USDT)—selected through purposive sampling. The findings indicate that the Russian invasion of Ukraine had a significant impact on abnormal returns and trading volume activity of LQ45 stocks, as well as on exchange rates and cryptocurrency trading volumes. This geopolitical event emerged as an external factor contributing to market uncertainty, prompting investors to adjust their investment strategies in both stock markets and digital assets. These findings confirm that global conflicts are closely linked to the dynamics of domestic financial markets.