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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.  

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.

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.

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.

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.

The purpose of this study is to analyze the influence of production, exports and investment on the GDP of the Manufacturing Sector in Indonesia. This study uses a descriptive quantitative approach with time series data 2017-2024, the data used is secondary data taken by GAIKINDO (Association of Indonesian Automotive Industries) and the National Statistics Agency with multiple linear regression analysis techniques interpreted using Eviews 13. The results of the T-test study on the production, export and investment variables have no significant effect. However, the results of the F-test of the production, export and investment variables have a simultaneous effect on the GDP of the Indonesian Manufacturing Sector. From the results of the determinant test (R2) the independent variable is 85%, while the remaining 15% is influenced by other variables from this study.

This study aims to analyze the effect of the Current Ratio (CR), Return on Assets (ROA), and Debt to Equity Ratio (DER) on Company Value in banking companies listed on the Indonesia Stock Exchange (IDX) during the 2020–2024 period. The research uses a quantitative approach with secondary data obtained from 27 out of 46 banking companies selected through purposive sampling. Data analysis was conducted using panel data regression with Eviews 10, supported by several classical assumption tests including normality, multicollinearity, and heteroscedasticity tests. Further analyses include multiple linear regression, t-tests, F-tests, and the Adjusted R² to evaluate the overall model fit. The partial test results show that the Current Ratio has a significant positive effect on Company Value, indicating that higher liquidity strengthens market perception of firm performance. Meanwhile, Return on Assets does not show a significant effect, suggesting that profitability alone is not a determining factor for firm valuation in the banking sector during the observed period. The Debt to Equity Ratio demonstrates a significant positive effect, implying that investors consider leverage an important indicator in assessing banking performance. Simultaneously, all three variables significantly influence Company Value. These findings highlight the importance of liquidity and leverage in shaping investor appraisal of banking companies in Indonesia.

Indonesia ranks second as the world’s largest fishery-producing country. However, this potential contrasts with the relatively small and stagnant contribution of fishery exports to the GDP each year when compared to other export commodities in the agricultural sector. This study aims to determine the export competitiveness of fisheries and the effect of Indonesia’s GDP, the GDP of destination countries, Indonesia’s population growth rate, the population growth rate of destination countries, and economic distance simultaneously and partially on the value of Indonesia’s fishery exports to 20 destination countries. This research uses panel data, consisting of cross-section and time series data for the period 2018–2022. The data analysis technique employs panel data regression with the assistance of the Eviews-12 analysis tool. The results show that Indonesia’s GDP, the GDP of destination countries, Indonesia’s population growth rate, the population growth rate of destination countries, and economic distance simultaneously have an effect on Indonesia’s fishery exports. The population growth rate of destination countries has no effect on fishery exports, while economic distance has a significant negative effect on Indonesia’s fishery exports.

This research is motivated by the dynamics of the layer chicken egg supply in Tabanan Regency. The purpose of this study is to analyze the factors that have the effect on the supply of layer chicken eggs, particularly the policy of banning the use of Antibiotic Growth Promoters (AGP), the number of layer chicken breeders, and the selling price of layer chicken eggs. The research method used is quantitative analysis with a multiple linear regression approach, using primary data obtained through questionnaires distributed to 101 layer chicken farmers in Tabanan Regency and analyzed with the assistance of EViews 12 software. The results show that the policy variable of banning the use of AGP has a negative and significant effect on the supply of layer chicken eggs. In contrast, the number of layer chicken breeders and the selling price of layer chicken eggs have a positive and significant effect on the supply. The coefficient of determination (R²) value of 0,316 indicates that the three independent variables are able to explain 31,6% of the variation in the supply of layer chicken eggs, while the remaining variation is affected by other factors outside the research model.

The size of the company as a moderator in defining the correlation between capital structure, profit, and firm value is the focus of this study. Adopting a quantitative associative approach, this research focuses on the non-cyclical consumer sector registered on the Indonesia Stock Exchange (IDX) for the period 2020–2023. Of the 125 companies, 73 were purposively selected to create the research sample, yielding 292 observations after excluding entities with incomplete data and those with special monitoring status. The authors gathered secondary data from audited yearly financial reports through the IDX portal and corporate websites. The analysis used quasi-moderation techniques by combining independent variables, moderation, and interaction in a single regression model, processed through EViews 13. The research results show that capital structure has a significant positive impact on firm value, while profitability has no significant impact. Firm size has been shown to affect the relationship that exists between capital structure and firm value, but it does not moderate the association between profitability and firm value. These findings confirm that leverage’s effectiveness in increasing firm value is independent of company size and that profitability is not a primary determinant in this context. This research provides empirical evidence to advance capital structure theory and to inform executives’ strategic financial decisions and investors’ evaluations of corporate outlooks.

Green accounting procedures have been adopted by numerous companies in response to the growing global focus on environmental responsibility. Nonetheless, monetary instability is still a major obstacle that can reduce productivity in Indonesia's manufacturing sector. The purpose of this research is to analyze industrial businesses listed on the Indonesia Stock Exchange from 2019 to 2023 and see how green accounting, financial crisis, and earnings management affect financial performance. The population in this study consists of 68 industrial sector companies, with a sample of 7 companies selected through purposive sampling based on 4 criteria. We used EViews software and Moderated Regression Analysis (MRA) for a quantitative approach. First, financial distress has a significant impact on financial performance. Second, green accounting has a significant positive effect on financial performance. Third, earnings management does not moderate the relationship between financial distress and financial performance. Fourth, earnings management does not moderate the relationship between green accounting and financial performance. With an Adjusted R-Square value of 79.73%, the study model has a high level of explanatory power. It may be used to explain the majority of the variation in financial performance. This shows that the constructed model is applicable and fits the empirical data well. Transparent reporting and real sustainability initiatives are still vital for improving company results, according to these results, as profits management methods do not change the impact of environmental and financial variables, which are important drivers of performance.

Every year, companies are required to prepare financial reports that include information on their financial condition, performance, and cash flow. This report demonstrates management's accountability for the resources they manage. One of the most important elements in this report is profit. This profit figure is closely monitored by report users, as it is considered a key measure of management's achievements and performance. However, in their financial management, manufacturing companies often face problems related to earnings management practices. Earnings management is an attempt by company management to manipulate or arrange financial reports, especially profits, for specific purposes. This practice can be carried out to demonstrate better financial performance, meet market targets, or reduce tax burdens. The purpose of this study is to determine the determinants of earnings management, such as intellectual capital, inflation, and third-party funds. This study utilizes information taken from the financial reports of manufacturers listed on the Indonesia Stock Exchange (IDX) using a purposive sampling method that meets the exploratory steps. This research period was taken over three years, with 78 observations used from 26 manufacturing companies. This research method used Eviews 12 with secondary data types. The results of the study show that there is a positive influence between intellectual capital on profit management, and there is no influence of inflation on profit management, and third party funds do not have a significant influence on profit management..

Taxes are a primary source of government revenue and play a crucial role in economic development. However, tax avoidance practices are still widely practiced by companies, including in the mining sector, which has significant potential to generate state revenue. This study aims to examine the influence of financial distress, corporate governance (independent commissioners and audit committees), and institutional ownership on tax avoidance in mining companies listed on the Indonesia Stock Exchange for the 2020–2023 period. The study population consisted of 83 companies, and through purposive sampling, 61 companies were selected, with a total of 244 observations. The analysis used panel data regression with the help of Eviews 25. The results indicate that financial distress and institutional ownership have a positive effect on tax avoidance, while independent commissioners and audit committees have a negative effect on tax avoidance. These findings suggest that a company's financial condition and ownership structure play a significant role in determining tax avoidance policies.

This study aims to identify: 1) The effect of halal certification on the perceptions of students of the Islamic Economics program at IAIN Pontianak regarding Pro-Israel products. 2) The effect of the product on the perceptions of students of the Islamic Economics program at IAIN Pontianak regarding Pro-Israel products. 3) The effect of religiosity on the perceptions of students of the Islamic Economics program at IAIN Pontianak regarding Pro-Israel products. The method used in this research employs a quantitative method. Data collection was conducted through the distribution of questionnaires to respondents. The data analysis used is panel data, and the hypothesis testing uses the coefficient of determination (R2), partial (t-test). The data used by the researcher is primary data that is then processed into secondary data, which includes halal certification, products, religiosity, and student perceptions. Data testing was also conducted with the help of SPSS 25 and Eviews 12 applications. The results of this study show: 1) The halal certification variable has a significant partial effect on student perceptions, as indicated by a t-statistic value of 1.6157 and a probability (p) of 0.0190. 2) The product variable has a significant partial effect on student perceptions, as indicated by a t-statistic value of 0.481082 and a probability value of 0.0314 < 0.05. 3) The religious variable has a significant partial effect on student perceptions, as indicated by a t-statistic value of 6.9607 and a probability of 0.000 < 0.05.

The purpose of this research is to examine and ascertain how capital structure and growth affect company value in FBM KLCI businesses listed on Bursa Malaysia between 2019 and 2023, dividend policy being used as a moderating factor.  The study's sample consists of 16 FBM KLCI firms that were listed on Bursa Malaysia between 2019 and 2023.  The secondary data utilized was gathered from Bursa Malaysia's website and financial statement documentation studies.  Descriptive analysis, panel data regression analysis, MRA, traditional assumption testing, and hypothesis testing are among the data analysis methods used.  Eviews Version 13 was used to process the data for this investigation.  According to the study's findings, for the 2019–2023 timeframe, capital structure significantly and favorably affects company value in FBM KLCI businesses listed on Bursa Malaysia.  In these businesses, growth has no bearing on firm value.  In FBM KLCI businesses listed on Bursa Malaysia for the 2019–2023 timeframe, both the correlation between capital structure and company value and the effect of growth on firm value are unaffected by dividend policy.

Auditor switching is very important for companies because it maintains the independence of auditors and has objectivity in assessing the fairness of the company's financial statements and maintaining public trust.  This study aims to determine the role of company growth in moderating the relationship between audit report lag and public ownership to auditor switching. This research was conducted using quantitative methods and the data source used, namely secondary data taken from the Indonesia Stock Exchange in the form of annual financial statements. The population in this study is 70 companies in the infrastructure sector in 2019 – 2023. The sampling technique used is purposive sampling. The sample in this study is 21 companies with a total of 105 sample data. The data analysis technique used in this study is logistics regression using the Eviews version 12 application. The results of this study show that simultaneously Audit Report Lag and Public Ownership have an effect on Auditor Switching. While partially Audit Report Lag has no effect on Auditor Switching, Public Ownership has no influence on Auditor Switching. The role of Company Growth is able to moderate the relationship between Audit Report Lag and Auditor Switching. The role of Company Growth is not able to moderate the relationship between Public Ownership and Auditor Switching.