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As an industry that has an important role for other industrial sectors, the plastic and packaging industry is the supply chain for consumer products. Behind the high industrial growth and the potential is still large, there are problems with plastic waste, consumption power, and changes in people's lifestyles that can affect the growth of the plastic and packaging industry. This study aims to determine how much impact the NPM (Net Profit Margin), GPM (Gross Profit Margin), TAT (Total Assets Turnover) on Profit Growth in the plastic and packaging industry sub-sector companies listed in IDX (Indonesia Stock Exchange) for the period 2014 to 2018. The method used in this study is a quantitative descriptive. The sampling technique used was purposive sampling in order to obtain a sample of 11 companies from a population of 12 companies. In the study the method of data analysis used the multiple linear regression analysis techniques by processing data using Eviews 8, because the data is not normally distributed, it uses the log transformation method. The results showed that simultaneously NPM (Net Profit Margin), GPM (Gross Profit Margin), TAT (Total Assets Turnover) had a significant effect on profit growth. And partially NPM (Net Profit Margin) has a significant effect on profit growth, while GPM (Gross Profit Margin) and TAT (Total Assets Turnover) have no significant effect on profit growth.

This research aims to determine the influence of macroeconomic variables on stock return and its impact on corporate values. The population in this research is the sector of agriculture because based on the results of the sector's observation, the most severe decline in performance among others. Further sampling is done by the purposive sampling method, so from 22 companies that listings only 15 companies that meet the criteria. The analytical technique to be used in this study is to use a double linear regression analysis technique expanded with a pathway analysis method to obtain a comprehensive picture of the relationship between variables of one variable with other. We find is an inflation and interest rate negatively and significantly affecting the return of shares. The exchange rate positively and significantly affects the stock return and the influential stock return rate positively and significant to the corporate values.

This research aims to determine the influence of return on assets, return on equity, and net profit margin against stock valuation reflected with the price earning ratio and its impact on the price to book value of retail trade companies listed on the Indonesia Stock Exchange period 2009-2018. The method used in this research is a descriptive method of analysis with a quantitative approach. The type of data used in this study is secondary data. The population in this research is a trade retail company listed on the Indonesia Stock Exchange period 2009-2018, consisting of 31 retail trade companies. Sampling technique used in this research is purposive sampling technique, with certain predefined criteria, which obtained 11 trade retail companies that meet the criteria. The analytical technique that will be used in this study is a double linear regression analysis technique that expanded by a method of pathway analysis to obtain a thorough picture of the relationship between one variable and another variable. The results found that a partial return on asset variable, return on equity, and net profit margin had a significant influence on the price earning ratio, and the price earning ratio also had a significant influence on price to book value.

Capital financing plays a crucial role in sustaining the growth potential of pharmaceutical companies, enabling them to expand operations and compete effectively in the market. In the face of a slowing global economy, maintaining solid financial performance across existing business lines becomes increasingly important. This study aims to examine the relationship between capital structure and the financial performance of pharmaceutical companies in Indonesia. The research sample consists of nine publicly listed pharmaceutical firms over the period 2013–2023. The empirical analysis employs three panel data estimation approaches—Pooled Ordinary Least Squares (Pooled OLS), Fixed Effects Model (FEM), and Random Effects Model (REM)—to account for different assumptions about unobserved firm-specific characteristics. Based on the Hausman test, FEM is determined as the most suitable model for the dataset. The estimation results reveal that the Long-term Debt to Total Assets (LDTA) ratio exerts a statistically significant negative effect on Return on Assets (ROA), indicating that a higher proportion of long-term debt tends to reduce profitability. Conversely, the Short-term Debt to Total Assets (SDTA) and Total Debt to Total Equity (TDTE) ratios have positive but statistically insignificant impacts on ROA, suggesting that neither short-term liabilities nor overall leverage significantly influence profitability in the observed period. These results imply that excessive reliance on long-term borrowing can impose interest burdens and financial constraints, thereby weakening performance. Consequently, financial managers in the pharmaceutical sector are encouraged to optimize their financing structure, prioritizing internal funds or short-term financing sources that align with operational needs and market conditions to sustain profitability and ensure long-term competitiveness.

Stock returns reflect the investment returns investors receive from owning company shares, encompassing both dividends and stock price increases. High stock returns indicate strong company performance and are attractive to investors, often reflecting market expectations of the company's future profitability and contributing to increased company value. Conversely, low stock returns can reduce market confidence and negatively impact company value. This study examines factors influencing stock returns in cyclical consumer sector companies listed on the Indonesia Stock Exchange from 2019 to 2023, with a sample of 63 companies out of 124. The research utilizes principal component analysis (PCA) with regression mediation, analyzing variables such as liquidity, solvency, activity, profitability ratios, financial performance, good corporate governance, and macroeconomic factors. SPSS 25 is used for data analysis. Key findings reveal that Market Value Added (MVA) significantly impacts both stock returns and firm value, while exchange rates and GDP do not significantly affect stock returns or firm value in this sector. The money supply (M2) significantly influences stock returns but not firm value. The Sobel mediation test shows that stock returns significantly mediate the relationship between MVA and M2 with firm value, whereas they do not mediate the effects of exchange rates and GDP on firm value. These results offer insights into the economic and financial factors impacting stock performance and firm value in Indonesia's cyclical consumer sector. 

Macroeconomics plays an important role in influencing firm value and performance. This study aims to analyze the effect of inflation, exchange rates, interest rates, and Gross Domestic Product (GDP) on firm value, with firm performance as a mediating variable. Firm performance in this study is proxied by liquidity, which is measured using the Current Ratio (CR), representing one specific dimension of firm performance rather than its overall performance, while firm value is proxied by the Price Earning Ratio. The study was conducted on infrastructure sector companies listed on the Indonesia Stock Exchange for the 2019–2023 period, using a purposive sampling method. Data analysis was carried out through classical assumption tests, multiple linear regression, and mediation analysis using the Sobel test. The results showed that inflation, interest rates, and GDP had a significant effect on Current Ratio, but exchange rates did not. Meanwhile, inflation, interest rates, and exchange rates had a significant effect on firm value, but GDP did not. The mediation test showed that Current Ratio only significantly mediated the effect of inflation on firm value. These findings indicate the importance of liquidity management and strategies in dealing with macroeconomic risks. Further research is recommended to examine other mediating variables and different industrial sectors.       

Capital financing plays a crucial role in sustaining the growth potential of pharmaceutical companies, enabling them to expand operations and compete effectively in the market. In the face of a slowing global economy, maintaining solid financial performance across existing business lines becomes increasingly important. This study aims to examine the relationship between capital structure and the financial performance of pharmaceutical companies in Indonesia. The research sample consists of nine publicly listed pharmaceutical firms over the period 2013–2023. The empirical analysis employs three panel data estimation approaches—Pooled Ordinary Least Squares (Pooled OLS), Fixed Effects Model (FEM), and Random Effects Model (REM)—to account for different assumptions about unobserved firm-specific characteristics. Based on the Hausman test, FEM is determined as the most suitable model for the dataset. The estimation results reveal that the Long-term Debt to Total Assets (LDTA) ratio exerts a statistically significant negative effect on Return on Assets (ROA), indicating that a higher proportion of long-term debt tends to reduce profitability. Conversely, the Short-term Debt to Total Assets (SDTA) and Total Debt to Total Equity (TDTE) ratios have positive but statistically insignificant impacts on ROA, suggesting that neither short-term liabilities nor overall leverage significantly influence profitability in the observed period. These results imply that excessive reliance on long-term borrowing can impose interest burdens and financial constraints, thereby weakening performance. Consequently, financial managers in the pharmaceutical sector are encouraged to optimize their financing structure, prioritizing internal funds or short-term financing sources that align with operational needs and market conditions to sustain profitability and ensure long-term competitiveness.

Stock returns reflect the investment returns investors receive from owning company shares, encompassing both dividends and stock price increases. High stock returns indicate strong company performance and are attractive to investors, often reflecting market expectations of the company's future profitability and contributing to increased company value. Conversely, low stock returns can reduce market confidence and negatively impact company value. This study examines factors influencing stock returns in cyclical consumer sector companies listed on the Indonesia Stock Exchange from 2019 to 2023, with a sample of 63 companies out of 124. The research utilizes principal component analysis (PCA) with regression mediation, analyzing variables such as liquidity, solvency, activity, profitability ratios, financial performance, good corporate governance, and macroeconomic factors. SPSS 25 is used for data analysis. Key findings reveal that Market Value Added (MVA) significantly impacts both stock returns and firm value, while exchange rates and GDP do not significantly affect stock returns or firm value in this sector. The money supply (M2) significantly influences stock returns but not firm value. The Sobel mediation test shows that stock returns significantly mediate the relationship between MVA and M2 with firm value, whereas they do not mediate the effects of exchange rates and GDP on firm value. These results offer insights into the economic and financial factors impacting stock performance and firm value in Indonesia's cyclical consumer sector. 

The purpose of this study is to determine the impact of assets value added and assets liquidity to stock liquidity in the context and evidence in Indonesia and in relatively different situations and conditions. The novelty of this research is in the assets value added using net value-added measurements, the research was conducted in the context and evidence in Indonesia, this research was conducted in two different situations, namely 2018-2019 (before the corona virus occurred) and 2020 (the corona virus occurred). The contribution of this research fills the narrow research gap in the field of stock liquidity from the perspective of assets value added in the context and evidence in Indonesia. The population in this research are entities listed on the Indonesia Stock Exchange with a research sample of entities categorized as manufacturing entities, research year 2018-2020, data analysis methods in this research used multiple regression, moderate regression (MRA). Main Findings: (i) Assets Value Added, Assets Liquidity and Information Asymmetry simultaneously effect Stock Liquidity. (ii) Stock Liquidity is positively impacted by Assets Value Added. (iii) Stock Liquidity is negatively impacted by Assets Liquidity. (iv) Information asymmetry weakens the impact of Assets Value Added to Stock Liquidity. (v) Information asymmetry strengthens the impact of Assets Liquidity to Stock Liquidity. The results of this study provide evidence in favor of information asymmetry theory and signal theory.

This study aims to analyze the development and soundness of banks from financial performance ratios in banking companies listed on the IDX in 2016-2021 using the RGEC approach; analyze the effect of the ratios used in RGEC on stock returns in banking companies listed on the IDX in 2016-2019 or before Covid19; analyzed the effect of the ratios used in RGEC on stock returns in banking companies listed on the IDX in 2020-2021 or during the Covid-19 pandemic. The sample consisted of the banking sub-sector listed on the IDX in the period 2016 to 2021. The data analyzed using the RGEC method. Based on the calculation of bank rating (bank soundness level), it can be seen that the key figures for the risk profile, GCG, earning and equity (RGEC) in the banking sub-sector listed on the IDX developed well in 2016-2021 in the banking sector on average from 39 banks studied. There are 11 Banks that are in Composite Rating 1 (Very Healthy), 25 Banks are on Composite Rating 2 (Healthy) and 3 Banks are on Composite Rating 3 (Sufficiently Healthy). Based on the results of panel regression tests in 2016-2019 (before Covid-19), bank rating (bank soundness level) which include risk profile (NPL and LDR), GCG, earnings (ROA and NIM) and equity (CAR) together have an effect of 28.89% of bank stock returns and 71.11% of stock returns are influenced by other factors outside the variables studied. However, based on the p-value results, the variables NPL, GCG, NIM and CAR have no significant effect on bank stock returns, while the LDR and ROA variables have a significant effect on stock returns. In general, the soundness of banks listed on the IDX is in a healthy condition. Whereas the results of panel regression tests in 2020-2021 (after Covid-19), bank rating (bank soundness level) which include risk profile (NPL and LDR), GCG, earnings (ROA and NIM) and equity (CAR) together have an effect of 4.93% of bank stock returns and 95.07% of stock returns are influenced by other factors outside the variables studied. However, based on the results of the p-value variables, NPL, LDR, GCG, ROA, NIM and CAR have no significant effect on bank stock returns. However, in general, the health level of banks listed on the IDX during the Covid-19 pandemic is in a healthy condition.