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This study aims to examine the effect of working capital efficiency and leverage on profitability and its implications for firm value in manufacturing companies listed on the Indonesia Stock Exchange (IDX) during the 2020–2025 period. The post-COVID-19 pandemic condition has increased operational risks for manufacturing companies due to fluctuations in interest rates, exchange rates, cash management, inventories, and receivables. Therefore, companies are required to implement more effective financial strategies to maintain competitiveness. Profitability is positioned as an intervening variable because previous studies showed inconsistent results regarding the relationship between working capital efficiency, leverage, profitability, and firm value. This research uses a quantitative approach with path analysis to examine direct and indirect relationships among variables. The population consists of all manufacturing companies listed on the IDX, while the sample includes 45 companies selected from 270 firms using purposive sampling based on specific criteria, such as consistent listing and financial performance. The results indicate that working capital efficiency has a significant positive effect on profitability, leverage has a significant negative effect on profitability, profitability significantly increases firm value, and profitability fully mediates the effect of working capital efficiency and leverage on firm value. These findings provide theoretical and practical implications for managers and investors in financial decision-making.

This study examines the determinants of the Jakarta Composite Index (JCI) based on three main macroeconomic factors namely inflation, the USD/IDR exchange rate, and the SBI interest rate (BI Rate) covering the period January 2020 to December 2025, in the context of post-COVID-19 pandemic recovery and global economic turmoil. A quantitative approach was employed using the Ordinary Least Squares (OLS) method, with 72 monthly observations derived from secondary data sourced from official institutions including Bank Indonesia (BI), the Central Statistics Agency (BPS), the Indonesia Stock Exchange (IDX), and the Financial Services Authority (OJK). Classical assumption tests were applied comprising the Jarque-Bera normality test, Variance Inflation Factor (VIF) for multicollinearity, Breusch-Godfrey for autocorrelation, White Test for heteroscedasticity, and Ramsey RESET for model specification. Partially, inflation, exchange rate, and BI Rate each demonstrate a positive and significant effect on the JCI (p < 0.05). Simultaneously, all three variables exert a significant combined influence on the JCI, with a coefficient of determination R² = 0.4414, indicating that the model explains 44.14% of the variation in the JCI. The remaining 55.86% is attributed to other variables outside the model. Classical assumption test results reveal violations of normality, autocorrelation, and heteroscedasticity assumptions, although the model is free from multicollinearity. These findings confirm that Bank Indonesia's monetary policy has a significant and measurable impact on capital market performance. Further research is recommended using more advanced time series models such as GARCH or VECM to address violations of classical assumptions and improve estimation efficiency.

This study evaluates how macroeconomic variables such as interest rates, inflation, and exchange rates affect the returns on corporate bonds issued by the banking sector in Indonesia. Corporate bonds are an attractive investment alternative, but their performance is highly influenced by fluctuations in national economic conditions. This study uses secondary data obtained from company financial reports, macroeconomic data, and bond market information over a certain period. Multiple linear regression analysis is applied to assess the extent to which each factor affects bond returns. The analysis results indicate that increases in interest rates and inflation tend to reduce bond returns, while the effect of exchange rates is inconsistent and depends on the economic stability at the time. These findings can serve as important considerations for investors, financial analysts, and policymakers in managing risks and opportunities in the Indonesia banking bondmarket.

Exchange rates are a crucial indicator in an open economy, playing a significant role in influencing international trade, investment flows, and overall macroeconomic stability. This study aims to analyze the impact of rupiah exchange rate fluctuations on Indonesia’s economic growth during the period 2014–2023. The research employs a descriptive qualitative approach using secondary data obtained from official publications of Statistics Indonesia and Bank Indonesia. The main variables analyzed include the rupiah exchange rate against the United States dollar and Indonesia’s economic growth. The findings indicate that exchange rate movements are closely related to economic growth dynamics, particularly through international trade mechanisms, production costs, and the stability of the real sector. Depreciation of the exchange rate tends to enhance export competitiveness, but it may also trigger inflation due to rising import prices. Conversely, appreciation can help control inflation but may weaken export competitiveness. Therefore, maintaining exchange rate stability is essential to support sustainable economic growth and strengthen national economic resilience.

This study aims to analyze the influence of interest rates, exchange rates, and coffee production on the value of coffee exports in South Sulawesi. The background of this study is based on the condition of South Sulawesi coffee exports which have experienced significant fluctuations in recent years despite coffee production tending to increase. This study uses a quantitative approach with time series data for the period 2009-2023 sourced from the World Bank, International Monetary Fund and the Directorate General of Plantations, the Food Crops, Horticulture and Plantation Service of South Sulawesi Province. Data analysis was conducted using multiple linear regression through the EViews 12 application with the classical assumption test as a model prerequisite. The results show that partially interest rates have a significant effect on coffee exports, while exchange rates and coffee production do not have a significant effect. Simultaneously, the three independent variables do not have a significant effect on the value of coffee exports. This finding indicates that external factors, especially interest rates, are more dominant in determining the performance of South Sulawesi coffee exports than internal factors of production and exchange rates.

Nickel has become a strategic mineral in the global industrial value chain, particularly for stainless steel production and electric vehicle battery manufacturing. As one of the world’s largest nickel producers, Indonesia has implemented a downstream industrialization policy aimed at increasing value added and strengthening export performance. This study analyzes the effects of international nickel prices, destination countries’ GDP per capita, exchange rates, and the downstreaming policy on the value of Indonesia’s nickel exports (HS 75) over the period 2010–2023. The study employs a quantitative approach using panel data regression with secondary data covering five major export destination countries, namely China, Japan, South Korea, Thailand, and Singapore. Based on the Chow and Hausman tests, the Fixed Effects Model is selected as the most appropriate estimation technique, indicating the presence of country-specific heterogeneity among importing countries. The results show that destination countries’ GDP per capita and international nickel prices have a positive and statistically significant effect on Indonesia’s nickel export value. The downstreaming policy dummy variable also exhibits a positive and significant impact, suggesting that the nickel ore export ban implemented since 2020 has effectively shifted export composition toward higher value-added processed nickel products. In contrast, exchange rates are found to have no significant effect on export performance. Overall, the findings provide empirical evidence supporting the effectiveness of Indonesia’s downstream industrialization policy and highlight the importance of global demand conditions in driving the performance of processed nickel exports.

This study aims to analyze the effect of global diversification, exchange rates, and interest rates on the performance of mixed mutual funds in Indonesia during the period 2020–2024. The method used is a quantitative approach with the Partial Least Squares–Structural Equation Modeling (PLS-SEM) technique, using secondary data from the Financial Services Authority, Bank Indonesia, and Bareksa. The sample consists of three mixed mutual fund products that meet the criteria of portfolio data completeness, net asset value, and performance report publication. The results show that exchange rates have a positive and significant effect on mutual fund performance, indicating that exchange rate fluctuations play an important role in determining changes in portfolio returns. The global diversification variable proved to have no significant effect, illustrating that exposure to international markets has not provided stable benefits in improving the performance of mixed mutual funds. Interest rates also did not show a significant effect because the composition of mixed portfolios was able to withstand the impact of monetary policy changes. Simultaneously, the three independent variables were able to explain 66.7 percent of the variation in mixed mutual fund performance, indicating that macroeconomic dynamics and portfolio strategies have an important contribution in influencing the performance of this collective investment instrument.

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.

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 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.

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 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.

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.

In recent years, both global and domestic economic uncertainties have increasingly influenced the movement of Indonesia’s JCI and GDP. This study aims to examine how various factors including news sentiment, exchange rates, and interest rates affect the JCI as a proxy for economic growth expectations, and GDP as a reflection of actual economic growth. Using quarterly data from 2016 to 2024, the analysis is conducted through the Auto Regressive Distributed Lag (ARDL) model to identify both short-term and long-term effects. The results show that these variables collectively have a significant impact on both the JCI and GDP. In the short term, the JCI is found to respond more quickly to changes in information and policy, reinforcing its role as a leading indicator. In contrast, GDP responds more slowly, with exchange rates and the BI interest rate showing a significant influence in the long term. These findings highlight that economic information and policies may affect the financial market and the real economy differently, underscoring the importance of understanding expectation dynamics in assessing the direction of Indonesia’s economic growth.

This study aims to analyze the comparison of solvency levels and claim payment abilities between two general insurance companies in Indonesia, PT Asuransi Dayin Mitra Tbk (ASDM) and PT Asuransi Jasa Tania Tbk (ASJT), considering the macroeconomic conditions in 2023. The methods used are qualitative and quantitative comparative analyses based on the audited financial statements and annual reports of both companies, as well as a review of macroeconomic data from official sources. The findings indicate that ASDM and ASJT managed to achieve positive performance despite economic challenges, with ASJT recording higher growth in premiums and net income. Both companies maintained solvency ratios above regulatory thresholds and controlled claims ratios. Business strategy adaptation, sound governance, and effective risk management contributed to these achievements. Macroeconomic factors such as inflation, interest rates, and exchange rates were found to influence the performance of both companies, with varying levels of sensitivity depending on their market segment focus. These findings provide valuable insights into the dynamics of the insurance business in Indonesia and highlight opportunities and challenges that industry stakeholders need to anticipate..