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Investment decisions in pharmaceutical manufacturing companies listed on the Indonesia Stock Exchange (IDX) are influenced by fundamental analysis and stock price fluctuations. Stock prices reflect market perceptions shaped by profitability, liquidity, and capital structure. This study examines the effects of Return on Assets (ROA), Current Ratio (CR), and Debt-to-Equity Ratio (DER) on stock prices, both partially and simultaneously. Using a quantitative approach, the study analyzes secondary data from audited financial statements and stock prices of 12 pharmaceutical companies during 2022–2024, totaling 36 observations. Panel data regression with EViews 12 is applied. Results show that ROA and DER have positive and significant effects on stock prices, while CR has a negative but insignificant effect. Simultaneously, all three variables significantly influence stock prices, with an adjusted R² of 73%, indicating strong explanatory power. Profitability (ROA) is the most influential factor, followed by capital structure (DER), while liquidity (CR) shows no significant impact.

Public companies must maintain sustainability, as it is related to their value. A company's value can be measured by its share price; a higher market price indicates a company's financial performance and investment returns for investors. A phenomenon has been observed in the consumer non-cyclical sector, which experienced declines and fluctuations in value from 2020 to 2024. This phenomenon indicates that falling share prices lead to a decline in company value. This study aims to analyze the influence of Corporate Social Responsibility, Tax Avoidance, and Dividend Policy on Company Value in companies in the Consumer Non-Cyclical sector listed on the Indonesia Stock Exchange during the 2020-2024 period. The study sample consisted of 10 companies with 50 data observations selected using a purposive sampling technique. Data analysis was conducted using panel data regression with the help of EViews 12 software. The results of the study indicate that (1) Corporate Social Responsibility, Tax Avoidance, and Dividend Policy as a whole have an effect on Company Value, (2) Corporate Social Responsibility partially has no effect on Company Value, (3) Tax Avoidance partially has no effect on Company Value, (4) Dividend Policy partially has no effect on Company Value. These findings prove that Corporate Social Responsibility, Tax Avoidance, and Dividend Policy together are able to influence company value, even though each variable does not have an effect on company value.

This study aims to determine the effect of financial performance, capital structure, and company size on company value in healthcare companies listed on the Indonesia Stock Exchange (IDX) for the 2020-2024 period. This study uses an associative quantitative approach with secondary data obtained from the company's financial statements. The sample was determined using purposive sampling, resulting in 9 healthcare companies with 45 observations. Data analysis was performed using EViews 12. Panel data regression analysis was applied using the Random Effect Model (REM), selected based on the Chow test, the Hausman test, and the Lagrange multiplier test. Furthermore, classical assumption testing and hypothesis testing were carried out. The test results show that partially Financial Performance has a significant positive effect on Company Value with a calculated T value of 2.137061 > T table 2.01954 with a prob value of 0.0386 < 0.05, Capital Structure does not have a significant effect on Company Value with a calculated T value of 0.4770233 < T table 2.01954 with a prob value of 0.6407 > 0.05, Company Size has a significant positive effect on Company Value with a calculated T value of 2.134309 > T table 2.01954 with a prob value of 0.0388 < 0.05. Simultaneously, the three independent variables have a significant positive effect on Company Value with an Fcount value of 3.059588 > Ftable 2.83 with a prob value of 0.038758 < 0.05, with a contribution of 12.31% while the remaining 87.69% is influenced by other factors outside this study.

The purpose of this study was to determine and analyze the effect of wage levels, economic growth, and the Human Development Index (HDI) on income inequality through labor absorption in the Districts/Cities of Jambi Province from 2020-2024. The research method used is a quantitative descriptive analysis using panel data regression with the Fixed Effect Model approach.  The analysis method used Eviews 12. The results showed of that partially, income inequality in the Districts/Cities of Jambi Province is significant positive influenced by the wage level variable, while economic growth does not have a significant effect on income inequality. In addition, the Human Development Index (HDI) has a significant negative effect on income inequality. This implies that wage increases are actually followed by in income inequality. Meanwhile, economic growth has not been able to provide a broad income redistribution effect. Conversely, improving the quality of human development proves to be the most effective factor, as it is capable of significant reducing inequalirt levels. Simultaneously, the results show that the variables of wage levels, economic growth, and the Human Development Index (HDI) collectively have a significant influence on income inequality in Districts/Cities of Jambi Province.

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.

This research aims to: 1) examine the development of the Human Development Index (HDI), Labor Force Participation Rate (LFPR), population size, economic growth, and the poverty gap index in the regencies/cities of Jambi Province from 2020 to 2024; and 2) analyze the influence of the Human Development Index, Labor Force Participation Rate, population size, and economic growth on the poverty gap index in the regencies/cities of Jambi Province. The research method employed is descriptive quantitative. The analytical tool used is Panel Data Regression through the Fixed Effect Model (FEM) approach, processed with EViews 12 software. The results show that the Human Development Index, population size, and economic growth have a significant influence on the poverty gap index in the regencies/cities of Jambi Province during the 2020-2024 period. Conversely, the LFPR does not have a significant effect on the poverty gap index in the region during the same period. These findings imply the importance of strengthening human resource quality through HDI improvement and more inclusive economic growth policies in Jambi Province. Furthermore, the government needs to evaluate the quality of available employment, as the high Labor Force Participation Rate (LFPR) has not yet been able to significantly reduce the depth of poverty.

The Indonesian Civil Servants Cooperative (KPRI) plays an important role in enhancing member welfare and supporting the national economy. Nevertheless, increases in business volume and own capital do not necessarily translate into higher profitability, while the number of members an essential characteristic of cooperatives is also assumed to influence financial performance. This study aims to examine the effect of business volume and own capital on cooperative profitability, with the number of members acting as a mediating variable. A quantitative approach was employed using secondary data derived from the financial statements of KPRI in Bogor City during the 2020–2024 period. Purposive sampling was applied, resulting in 12 cooperatives with a total of 60 observations. Panel data regression analysis was conducted using EViews software, and mediation effects were tested using the Sobel test. The results indicate that business volume has a positive and significant effect on cooperative profitability, whereas own capital does not show a significant influence. The number of members has a negative and significant effect on profitability. Furthermore, the Sobel test confirms that the number of members does not mediate the relationship between business volume or own capital and cooperative profitability. These findings suggest that enhancing business activities and improving the quality of member participation are more critical for increasing cooperative profitability than merely expanding capital or membership size.

Tax Management refers to a company’s efforts to manage its tax obligations efficiently and legally in order to optimize net income. This study aims to examine the effect of Fixed Asset Intensity and Leverage on Tax Management, with Profitability as a moderating variable, in mining companies listed on the Indonesia Stock Exchange (IDX) for the 2021–2024 period. This research is conducted because tax management practices are considered to potentially influence corporate profitability and financial performance. The study is grounded in Agency Theory and employs a quantitative approach. The sample was selected using purposive sampling, resulting in 28 companies observed over four years, with a total of 112 secondary data observations obtained from annual reports or financial statements. Data analysis was performed using EViews 13 with a Moderated Regression Analysis (MRA) approach. The findings indicate that: (1) Fixed Asset Intensity has no significant effect on Tax Management; (2) Leverage has a significant negative effect on Tax Management; (3) Profitability does not moderate the relationship between Fixed Asset Intensity and Tax Management; and (4) Profitability strengthens the effect of Leverage on Tax Management.

The primary focus of this research is to evaluate the influence of Good Corporate Governance (GCG), profitability levels, and entity scale on the market value of coal mining companies listed on the Indonesia Stock Exchange (IDX) between 2021 and 2023. This study adopts a quantitative design by utilizing secondary data from the official IDX website, where 8 companies were selected as samples from a total population of 34 coal sub-sector companies through purposive sampling techniques. Data processing was carried out through panel data regression analysis using Eviews 12 software. The research data indicates that, independently, the implementation of good corporate governance and the level of profit acquisition do not contribute significantly to determining the value of the entity. Conversely, company size is proven to have a significant negative impact. Simultaneous testing confirms that these three independent variables collectively have a significant effect on company value. These findings indicate the need for strategies that consider factors beyond good corporate governance and profitability in efforts to increase company value, such as operational efficiency and proper asset management.

The relatively high volatility of Robusta coffee prices creates uncertainty for farmers, business actors, and policymakers in making economic decisions. This study aims to analyze the price movement patterns of Robusta coffee, determine the most appropriate Autoregressive Integrated Moving Average (ARIMA) model, and conduct short- to medium-term price forecasting for Robusta coffee. The data used consist of monthly Robusta coffee price data from January 2023 to September 2025, sourced from the World Bank Commodity Price Data. The analytical method employed is ARIMA using EViews software, beginning with stationarity testing using the Augmented Dickey-Fuller (ADF) test, model identification through ACF and PACF, parameter estimation, and residual diagnostic testing. The results show that Robusta coffee price data are non-stationary at the level but become stationary at the first difference, indicating integration of order one I(1). Based on model identification and diagnostic testing, the ARIMA (0,1,0) model is found to be the most appropriate and satisfies the white noise assumption. Forecasting results indicate that Robusta coffee prices are projected to remain relatively stable with a moderate upward trend through December 2026. These findings are expected to serve as a reference for decision-making by farmers, business actors, and the government in responding to Robusta coffee price dynamics.

This study aims to determine and analyze the effect of Corporate Social Responsibility, Green Accounting, Intellectual Capital, and Firm Size on Financial Performance with Good Corporate Governance as a moderating variable. This study was conducted on mining companies listed on the Indonesia Stock Exchange (IDX) for a five-year period, namely 2020–2024. The study population consisted of 34 mining companies, with the sampling method using purposive sampling, resulting in 33 companies as research samples. The information used was derived from secondary sources, namely annual reports and sustainability reports.  Multiple linear regression and Moderated Regression Analysis (MRA) were used to analyze the data, with the assistance of EViews software. The results showed that Corporate Social Responsibility had a positive and significant effect on Financial Performance. Green Accounting and Intellectual Capital also had a positive and significant effect on Corporate Social Responsibility. Meanwhile, Firm Size had a positive but insignificant effect on Financial Performance. The results of the moderation test indicate that Good Corporate Governance is unable to moderate the influence of CSR, Green Accounting, Intellectual Capital, or Firm Size on Financial Performance. This finding suggests that increasing social responsibility, implementing green accounting, and managing intellectual capital can improve the financial performance of mining companies, but their effectiveness has not been strengthened by corporate governance mechanisms.

Government expenditure is a great reason in economic stability and its impact on the balance of payments is dire. In this light, this paper seeks to use the time series analysis method and the ARDL model to investigate the association between the balance of payments of Iraq and the public spending within the 2004-2023 period. The Eviews 13 software was used to analyse it. The findings show that there is a positive association between spending by the people and balance of payment especially at the short run. The latter findings indicate that the efficiency of government expenditure reform is a necessary tool to accomplish the expansion and close the balance of payments deficit. This study highlights the importance of strategic fiscal policies and government spending in achieving a balanced economy and sustainable growth. Additionally, it emphasizes the need for continuous monitoring and adjustment of public spending to ensure its alignment with national economic objectives. The findings contribute to the understanding of fiscal policy implications in developing economies, especially in the context of Iraq’s economic challenges.  

This study aims to evaluate the effect of Return on Assets (ROA), Debt to Equity Ratio (DER), and Current Ratio on Firm Value, with Sales Growth as a moderator variable, in textile and garment companies listed on the Indonesia Stock Exchange (IDX) for the period 2020-2024. The population of this study consisted of 21 companies, and purposive sampling was used to select 19 companies according to the established criteria. The analytical method used was panel data regression analysis with the help of Eviews version 12.0. The results of this study indicate that Return on Assets (ROA) has a negative and significant effect on firm value, Debt to Equity Ratio (DER) and Firm Size have a positive and significant effect on firm value, Current Ratio (CR) does not have a significant effect on firm value, and Sales Growth cannot moderate the effect of Return on Assets on firm value. The condition of ROA that has a negative effect on firm value can describe a situation where the greater the company's profit in the form of assets, the lower the company's value will be, or conversely, the higher the company's value, the lower the company's assets will be.

This study examines the comparative volatility of gold and Bitcoin over the period January 2020 to August 2025, using monthly data and employing descriptive statistics, the Augmented Dickey-Fuller (ADF) test, GARCH (1,1), and the Dynamic Conditional Correlation Generalized Autoregressive Conditional Heteroskedasticity (DCC-GARCH) model estimated with EViews 13. The results show that Bitcoin is characterized by extreme and persistent volatility, reflecting its speculative nature, whereas gold remains stable and functions as a conventional safe-haven asset. Correlation analysis indicates that the relationship between gold and Bitcoin is generally weak but dynamic, as the strength and direction of their co-movements change across different market conditions. These findings highlight the potential role of gold as a hedge and Bitcoin as a speculative diversifier, offering insights for portfolio diversification and risk management. These results also suggest that investors should carefully consider their risk tolerance and investment horizon when allocating assets between traditional and digital commodities.

The objective of this study is to directly analyze and illustrate the compositioneof the auditecommittee, which consists of financial knowledge, independence and the quantity of members on the committee, concerning the financial statement quality of energy sector industries listed on the IDX in 2023-2024.High-quality financial statements are a crucial component reflecting the outcome of the accounting process and are vital for stakeholders in decision-making. Despite regulatory requirements for audit committees, corporate financial statements in Indonesia often contain earnings management or accounting irregularities, indicating that the audit committee's very existence is insufficient to guarantee financial statements' quality. A numerical approach with a causal-comparative approach is utilized in this investigation. The secondary quantitative data are obtained from companies’ yearly financial statements, annual reports, and corporate governance disclosures published on the official IDX website. The data are examined using EViews software for panel data regression, going through many steps, including descriptive statistics, classical assumption testing, panel data model selection, and regression analysis for hypothesis testing. The audit committee's size, objectivity, and financial acumen make up the study's independent variables. Meanwhile, financial statement quality as the dependent variable is measured through earnings quality proxy using the discretionary accruals calculation approach (Jones model or Modified Jones model). Specifically, this research seeks to deliver theoretical and practical benefits for regulators in formulating corporate governance policies, give companies a comprehension of the importance of an effective audit committee, and help investors make informed investment choices.

The purpose of this study is to investigate the factors that lead to poverty in different Indonesian regions between 2018 up to 2024. The Gross Regional Domestic Product per capita, the Human Development Index, and the Open Unemployment Rate are the independent factors used in this study, whereas poverty levels are the dependent variable. The Central Statistics Agency provided secondary data that was used in a quantitative manner. Using EViews 12 software, panel regression techniques were used to process the data. The study's conclusions show that, at a significance level of less than 0.05, economic and human development factors simultaneously significantly affect poverty rates across Indonesian regions. The coefficient of determination indicates that the variables in the model can account for the majority of the variations in poverty levels. These findings demonstrate how important a region's economic status and level of human development are to efforts to reduce poverty. It is anticipated that this research will help the government develop more effective and long-lasting methods for reducing poverty.

This study empirically examines the effects of ownership structure, including managerial, institutional, and public ownership, on tax avoidance practices, using profitability as a moderating variable. The population in this study consists of manufacturing companies listed on the Indonesia Stock Exchange (IDX), from which a sample was selected using purposive sampling. A total of 330 observations were collected from 110 manufacturing companies for the period 2022–2024. The variables were tested using multiple linear regression in EViews 12. This study expands on previous research by using profitability as a moderating variable that can influence the relationship between ownership structure and tax avoidance. The results show that institutional ownership has a negative and significant effect on tax avoidance practices. An increase in institutional share ownership can reduce tax avoidance practices. Meanwhile, managerial and public ownership do not affect tax avoidance practices. In the moderation test, profitability strengthened the effect of managerial and institutional ownership on tax avoidance. Still, it did not moderate the impact between public ownership and tax avoidance.

This research examines the analysis of Return on Equity (ROE), Quick Ratio (QR), and Debt to Equity Ratio (DER) on corporate valuation, as assessed by Price-to-Book Value (PBV), within technology firms listed on the Indonesia Stock Exchange (IDX) during the period from 2022 to 2024. The primary aim of this investigation is to ascertain the effects of profitability, liquidity, and leverage both in isolation and in conjunction on market valuation in an industry characterized by innovation and intangible assets. This research employs panel data regression analysis utilizing EViews 13 as the quantitative methodology. The findings reveal that ROE significantly enhances PBV, indicating that investors place considerable importance on firms that are capable of generating substantial returns on equity for shareholders. Conversely, QR and DER appear to have no discernible impact on PBV. This observation can be attributed to the unique nature of technology companies, wherein investors prioritize factors other than short-term liquidity and leverage. Nonetheless, when assessed collectively, the three metrics illuminate the variations in corporate value. These results suggest that while financial stability indices exert a positive yet comparatively subdued effect on investor sentiment within the technology sector, profitability remains a paramount determinant. The study elucidates the financial determinants that influence corporate value in innovation-driven industries, providing valuable insights for managers and investors alike.

This study aims to estimate changes in the Indonesian Sharia Stock Index (ISSI) from 2020 to 2025 using the Autoregressive Integrated Moving Average (ARIMA) model. The growth of the Islamic stock market in Indonesia has increased rapidly, driven by public awareness of investments that follow sharia principles, as well as changes in macro and microeconomic conditions, especially during the COVID-19 pandemic which has had a significant impact on the financial market. This study relies on monthly ISSI data taken from official sources and analyzed with a quantitative approach using the time series method using EViews version 13 software. Statistical analysis and stationarity tests indicate that the ISSI data exhibits an increasing trend pattern and quite high volatility, so that a differentiation process is necessary to achieve stationarity. Based on the results of model testing and the selection of optimal information criteria, the ARIMA (1,1,1) model was selected as the most appropriate to capture the autocorrelation pattern and produce accurate short-term predictions. Projections indicate a stable growth trend until the end of 2025, with an estimated index of more than 8.3 million. The findings of this study indicate that the ARIMA model is an effective tool for forecasting ISSI movements and can be a strategic consideration for investors, financial institutions, and policymakers in developing sustainable investment strategies in the Indonesian Islamic stock market.

This study aims to analyze the development of debit card, credit card, and e-money usage and inflation in Indonesia, while also examining the effect of these three payment instruments on inflation from January 2015 to July 2025. The method used is the Error Correction Model (ECM) with the help of Eviews 12 software, while data was obtained from Bank Indonesia (BI) and the Central Statistics Agency (BPS). The results show that in the long term, debit cards do not have a significant impact on inflation. Conversely, credit cards have a positive and significant impact, indicating that increased credit card usage can drive up inflation. On the other hand, e-money has a negative and significant effect on inflation in the long term, so that increased e-money transactions actually tend to suppress inflation. In the short term, these three payment instruments—debit cards, credit cards, and e-money—do not show a significant impact on inflation in Indonesia. These findings provide insight into the dynamics of non-cash payment instruments and provide assurance regarding price stability.