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This study aims to analyze the effect of capital structure, firm growth, audit quality, and foreign ownership on firm value, proxied by Price to Book Value (PBV), in consumer cyclical sector companies listed on the Indonesia Stock Exchange during 2018–2022. The analytical method used is panel data regression with the Random Effect Model (REM) approach. The results show that capital structure has a positive and significant effect on firm value. Conversely, firm growth, audit quality, and foreign ownership do not significantly affect firm value. These findings support signaling theory, which suggests that the use of debt within a reasonable threshold can boost investor confidence and enhance firm value. Therefore, it is recommended that corporate management focus on optimizing capital structure rather than relying solely on firm growth or external factors such as audit quality or foreign investors to improve firm value.

The demand for goats for religious rituals such as aqiqah and qurban during Eid al-Adha has shown a significant upward trend each year, in line with the growing awareness among Muslims to observe religious practices in accordance with Islamic law. This study aims to explore the strategies employed and the challenges faced by traditional goat farmers in responding to this evolving demand. A descriptive qualitative approach was used, with data collected through in-depth interviews, field observations, and documentation. The subject of this study was Mr. Anto, an experienced goat farmer and trader who manages the “Adinda Aqiqah” business in Medan City. The findings reveal that Mr. Anto’s main strategies include stock management through the raising of hundreds of goats of various breeds (Kacang, Etawa, and sheep), the selection of high-productivity superior breeds, and the setting of competitive selling prices for both qurban and aqiqah needs. On the other hand, the primary challenges encountered include limited infrastructure, particularly at sales locations, animal health risks due to adverse weather conditions, and the lack of effectiveness in using social media as a marketing tool to reach a wider consumer base. These findings offer a clear picture of how traditional livestock practices adapt to market demands, while also highlighting the need for improvements in technology, marketing, and policy support to enhance competitiveness in this dynamic, seasonal market.

The purpose of this research is to examine the variables that affect stock prices in the commerce and service and consumer products industries that are listed on the Indonesia Stock Exchange.  This research study is quantitative in nature.  The information was taken from annual and financial reports that were posted on the websites of the individual companies as well as the Indonesia Stock Exchange's official website (www.idx.co.id).  The population consists of all 137 consumer products, commerce, and service businesses that were listed on the Indonesia Stock Exchange between 2009 and 2013.  Seventy-seven businesses satisfied the sample requirements based on preset criteria.  Multiple linear regression analysis was used to examine the data.  The findings demonstrate that the three sets of variables—systematic risk, macroeconomic indicators, and firm fundamentals—all significantly and favorably affect stock prices at the same time.  Stock prices are positively and significantly impacted by the following factors, in part: Return on Equity (ROE), Earnings per Share (EPS), Book Value (BV), Net Profit Margin (NPM), and inflation.  In contrast, the market beta, GDP, exchange rate, and BI rate have no discernible effects, but the debt to equity ratio (DER) has a negative and substantial influence.  With an Adjusted R Square value of 62.4%, the study's independent variables may account for a significant portion of stock price fluctuations, with additional factors outside the model influencing the remaining 37.6%.

Using a case study of the Food and Beverage industry listed on the Indonesia Stock Exchange (IDX) between 2017 and 2022, this study seeks to examine the partial impact of financial performance on stock prices through Earnings Per Share (EPS). Ratios like Return on Assets (ROA), Return on Equity (ROE), EPS, and share prices are used to gauge financial performance. Using a saturated sampling method, 18 firms were chosen for the sample. Using a quantitative technique with a descriptive approach, this study performs data analysis using Structural Equation Modeling (SEM) with the aid of SmartPLS version 3. 0. According to the study's findings, ROA has a considerable impact on EPS but not on share values. ROE has no discernible impact on stock prices or EPS. Nevertheless, EPS is shown to be a mediating variable between ROA and ROE, both of which have a substantial impact on share values. Improving the efficiency and effectiveness of financial management is one of the recommendations, particularly in areas that have an impact on EPS, such as capital structure and profitability. When making investment decisions, investors should pay attention to financial performance metrics like stock values, EPS, ROA, and ROE. To gain a more thorough analysis, future academics are urged to consider more variables, such the Price to Earnings Ratio, Dividend Payout Ratio, and external elements such as inflation and interest rates.

Firm value is a metric that reflects investors’ perception of management’s success in managing the company, as represented by the market price of its shares. The transportation and logistics sector in Indonesia has faced significant challenges, especially since the COVID-19 pandemic, which has led to fluctuations in firm value. This study aims to analyze the effect of managerial ownership structure, sales growth, and business risk on the firm value of transportation and logistics companies listed on the Indonesia Stock Exchange (IDX) during the 2020–2022 period. This research employs a quantitative approach with an associative research design. The primary theoretical framework used is agency theory, which explains the relationship between owners and managers and highlights the importance of aligning their interests in decision-making processes. The sample consists of 16 companies selected using purposive sampling, resulting in 48 observations over three years. Data were obtained from the official IDX website and analyzed using multiple linear regression with the help of SPSS software. The dependent variable is firm value, measured by price to book value (PBV), while the independent variables are ownership structure, measured by management ownership percentage (MOP); sales growth, measured by growth sales rate (G); and business risk, measured by the degree of operating leverage (DOL). The results of the study indicate that all three independent variables have a positive and significant effect on firm value. These findings support agency theory and demonstrate that an appropriate ownership structure, stable sales growth, and effective management of business risk can enhance firm value. This study is expected to contribute to the development of accounting science and managerial practices in the transportation and logistics sector, as well as provide insights for investors in making informed investment decisions.

Firm value is essential for business sustainability and serves as a key consideration for investors in assessing a company’s prospects. The enhancement of firm value is influenced by various factors observed by both internal and external parties. This study examines the partial effects of profitability, company growth, and capital structure on firm value. The research variables include Return on Assets (ROA) for profitability, Sales Growth for company growth, Debt to Equity Ratio (DER) for capital structure, and Price to Book Value (PBV) for firm value. A quantitative approach was employed using a sample of 25 technology sector companies listed on the Indonesia Stock Exchange during the 2021–2023 period, selected through purposive sampling. Data analysis techniques included descriptive statistics, classical assumption tests, multiple linear regression, and hypothesis testing. The findings indicate that profitability and company growth have a negative effect on firm value, while capital structure has a positive effect. These results contradict signaling theory but support the trade-off theory. This research contributes both theoretically and practically to the field of accounting and serves as a reference for management and investors in making strategic decisions related to enhancing firm value.

This study aims to examine the effect of Return on Assets (ROA) and Return on Equity (ROE) on stock prices of agro-industrial companies listed on the Indonesia Stock Exchange (IDX) during the post-Covid-19 economic recovery period, specifically from 2021 to 2023. The research method used is a quantitative approach with a causal associative type. The data used are secondary data from annual financial statements and year-end stock prices. Data analysis was conducted using multiple linear regression with classical assumption tests to ensure model validity. The results indicate that ROA and ROE have both simultaneous and partial effects on stock prices. ROA demonstrates a stronger influence compared to ROE, suggesting that asset management efficiency is a key determinant of stock value in agro-industrial firms during the economic recovery period.

This research conducts an analysis of the impact of Good Corporate Governance (GCG) implementation on industry value, with profitability serving as a connecting variable in manufacturing industries listed on the Indonesia Stock Exchange (IDX) throughout the period 2016 to 2020. GCG is assessed through several aspects, namely the size of the board of commissioners, the proportion of independent commissioners, management ownership, institutional ownership, and the existence and quality of the audit committee. Profitability is measured using Return on Assets (ROA) and Return on Equity (ROE), while industry value is evaluated using Tobin's Q and Price to Book Value (PBV). Illustrations were taken using a purposive sampling method, creating 10 manufacturing industries that met certain criteria. To test the direct and indirect effects of GCG on industry value through profitability, path analysis was used with the Baron and Kenny approach and the Sobel test.  

This study aims to evaluate the relevance of accounting information values, specifically Return on Assets (ROA), Earnings Per Share (EPS), and Non-Public Ownership (NPO), in investment decision-making. The research employs a quantitative method, utilizing a sample of 49 companies in the infrastructure, utilities, and transportation sector. Multiple linear regression analysis is applied to test the proposed hypotheses. The findings reveal that EPS and Non-Public Ownership significantly influence stock price movements, while ROA shows no significant effect on stock prices. The implications of this study highlight the importance of considering NPO and the relevance of accounting information values such as EPS, while also acknowledging the potential risks associated with ROA in the investment decision-making process.

Firm value reflects investors’ perception of a company’s success, often associated with stock price. An increase in firm value can serve as a positive signal for investors, indicating promising future prospects. This study aims to examine and explain the influence of leverage, company size, and asset structure on the value of mining companies listed on the Indonesia Stock Exchange. The study involves a sample of 77 mining companies for the period 2020–2024. Data was collected using a non-participant observation method. The analytical technique employed is multiple linear regression analysis. The results show that leverage has a positive and significant effect on firm value, company size has a negative and significant effect on firm value, and asset structure has a positive but insignificant effect on firm value.

This study aims to analyze the impact of dividend policy, interest rates, and inflation on the stock prices of financial sector companies in Yogyakarta. The data used are secondary data obtained from company financial reports and macroeconomic indicators over a specific period. The analytical method employed is multiple linear regression to determine the extent to which the independent variables affect stock prices as the dependent variable. The results indicate that dividend policy has a significant positive effect on stock prices, while interest rates and inflation have a negative impact. These findings provide important implications for investors and financial managers in formulating investment strategies and dividend policies, as well as in considering macroeconomic conditions in financial decision-making within the financial sector.

This study aims to examine the effect of liquidity, profitability, and solvability ratios on investment decisions while also investigating the moderating role of firm size in this relationship. The research focuses on manufacturing companies listed on the Indonesia Stock Exchange for 2019-2023, which are marked by significant economic disruptions, including the COVID-19 pandemic. A quantitative approach was employed, using panel data regression to test the proposed hypotheses. Financial ratios were measured using the current ratio, return on assets, and debt-to-equity ratio, while investment decisions were assessed using the price-earnings ratio. The natural logarithm of total assets measured firm size. The results reveal that liquidity and solvability significantly influence investment decisions, while profitability does not. Firm size was found to moderate the relationship between liquidity and solvability with investment decisions, but not the relationship involving profitability. These findings have practical implications for investors and corporate managers in formulating investment strategies and managing financial performance, highlighting the importance of considering firm size when evaluating the effectiveness of economic indicators. This research also contributes to the empirical literature on investment decision-making in the manufacturing sector.

Firm value is the company's performance reflected in the stock price, which is determined by the demand and supply in the capital market, representing public perception of the company's performance. This study aims to obtain empirical evidence on the influence of millennial leaders and CSR disclosure on firm value, with firm age as a control variable, in companies listed in the LQ45 Index from 2021 to 2023. The population of this study consists of 45 companies. Sampling was conducted using a non-probability sampling method with a purposive sampling technique, resulting in a total of 16 company samples. The analysis technique employed is multiple linear regression analysis. The results show that millennial leaders positively affect firm value, while CSR disclosure negatively affects firm value. This study provides theoretical implications by offering additional information and empirical evidence regarding the influence of millennial leaders and CSR disclosure on firm value. It also offers practical implications for company leaders to pay more attention to factors that can enhance firm value.

Financial markets are a crucial component of the global economy, where market volatility is a primary concern for investors. This study aims to analyze the relationship between investor behavior and market volatility, focusing on how sentiment and trading behavior influence stock price dynamics. Understanding this relationship can offer valuable insights for investors and policymakers in managing market fluctuations. The study used primary data from questionnaires distributed to 400 investors. The results indicate that risk perception, investment decisions, and investor experience have a positive and significant effect on the perception of market volatility. In contrast, investor emotions, such as fear and anxiety, negatively affect their perception of volatility. The level of uncertainty investors experience significantly influences their assessment of market fluctuations. A higher perceived risk leads to a stronger tendency to perceive increased market volatility. Furthermore, the actions of investors in the stock market impact their perceptions of price changes. More active investors tend to be more aware and sensitive to market fluctuations, while those influenced by negative emotions may underestimate the extent of market changes, leading to a lower perceived volatility. Investors often ignore important market signals when trying to avoid losses, which can impact their investment decisions. Experienced investors, having encountered various market cycles, are better at handling market fluctuations. Their ability to analyze and interpret market information allows them to manage risks more effectively and optimize long-term investment returns.

This study aims to analyze the reaction of the Indonesian capital market to the inauguration of President Prabowo-Gibran using the event study method. The important variables in this study are abnormal returns and trading volume activity, with the population of all companies listed in the LQ45 stock index. The observation period was 14 days. The data consists  of daily closing stock  price, daily closing price of LQ45 IHSG, daily trading volume, and the number of shares outstanding. Hypothesis testing was conducted using the non-parametric Wilcoxon Signed Rank Test, as the data is not normally distributed. The results showed that there was no significant difference in  the average abnormal return. However, a significant difference in the average trading volume activity was found between the periods before and after the presidential inauguration event.  

This study aims to analyze and evaluate the impact of the implementation of PSAK No. 69 (Biological Assets) on market performance, with company performance acting as a mediating variable, in agricultural sector companies listed in Indonesia. PSAK No. 69 was adopted to improve transparency and reliability in the financial reporting of biological assets, which are a significant component in the agricultural industry. The research adopts a quantitative approach, utilizing secondary data derived from the annual financial reports of companies and stock price information accessed via the Indonesia Stock Exchange (IDX) and the official websites of relevant companies for the period of 2018–2023.The study investigates the relationship between the intensity of biological assets and company performance, as measured by Return on Equity (ROE), as well as the relationship between company performance and market performance, as measured by Stock Return. The analysis results indicate that the intensity of biological assets has a significant positive impact on ROE. However, the direct effect of biological asset intensity on Stock Return is not statistically significant. Nevertheless, the mediation test reveals that ROE has a significant positive effect on Stock Return, thereby confirming the mediating role of ROE in the relationship between biological asset intensity and Stock Return.These findings imply that the implementation of PSAK No. 69 indirectly affects market performance through its influence on company performance. This highlights the importance of financial performance as a transmission channel in understanding the market implications of accounting regulation changes. The study provides useful insights for investors, regulators, and other stakeholders in evaluating the financial and market consequences of biological asset accounting standards in the agricultural sector.

The purpose of this study is to determine partially or simultaneously with the variable profitability (which is proxied by ROE), investment decisions (which are proxied by PER), and funding decisions (which are proxied by DER) on firm value (which is proxied by PBV). The population in this study are mining companies in the oil and gas sub-sector which are listed on the Indonesia Stock Exchange for the 2017-2021 period either partially or simultaneously. The sampling technique uses saturated sampling method. From this method, all companies became the research sample during the five-year observation period. The total sample is 11 companies. The analytical method in this test uses multiple regression analysis using the SPSS version 25 test tool. The results show that partially profitability (which is proxied by ROE) has no effect on firm value (which is proxied by PBV, investment decisions (which are proxied by PER) has partially affected on firm value (which is proxied by PBV), and funding decisions (which are proxied by DER) partially have no effect on firm value (which is proxied by PBV), Profitability (which is proxied by ROE), investment decisions (which are proxied by PER), and funding decisions (which are proxied by DER) simultaneously affect firm value (which is proxied by PBV). The Fcount value is greater than the Ftable value (7.338>2.00758) with a significant value of 0.000 which means less than 0.05.

This study examines the relationship between corporate financial disclosure and investment decisions by shareholders and investors in capital markets. Using a comprehensive dataset of 486 publicly listed companies from multiple stock exchanges over a five-year period (2018-2022), we investigate how the quality, scope, and timing of financial disclosures influence investment behaviors, pricing efficiency, and capital allocation. Through multiple regression analysis, structural equation modeling, and panel data techniques, we find that higher disclosure quality is significantly associated with increased trading volumes (β=0.42, p<0.01), lower bid-ask spreads (β=-0.38, p<0.01), and reduced stock price volatility (β=-0.31, p<0.01). Our analysis reveals that voluntary disclosures beyond regulatory requirements have a stronger impact on institutional investor decisions compared to retail investors. Additionally, the study documents that forward-looking financial information and segment reporting have particularly strong effects on investment decisions during periods of market uncertainty. The findings contribute to disclosure theory and provide empirical evidence for regulators considering disclosure policy reforms, corporate executives formulating communication strategies, and investors developing investment frameworks that incorporate disclosure quality assessment. The study addresses the causality challenge through instrumental variable estimation and difference-in-differences analysis of regulatory changes, enhancing the robustness of the identified relationships.

This study examines the presence of the Monday effect in companies listed in the IDX30 index on the Indonesia Stock Exchange (IDX) from February 2018 to January 2023. The Monday effect is a market anomaly where stock returns on Mondays tend to be systematically different from other trading days. This phenomenon, if proven, challenges the efficient market hypothesis. The main research problem is whether the Monday effect exists in IDX30 stocks during the specified period. The study aims to provide empirical evidence regarding this anomaly in the Indonesian stock market. The research employs a quantitative approach, utilizing secondary data in the form of daily stock closing prices. The sample consists of 15 companies that were consistently listed in the IDX30 index throughout the study period, selected through a purposive sampling method. The analysis is conducted using the One-Way ANOVA test with SPSS 27 statistical software to compare stock returns across different trading days. The findings confirm the presence of the Monday effect in IDX30-listed stocks, indicating that stock returns on Mondays exhibit statistically significant differences compared to other days. These results suggest that behavioral factors and market inefficiencies may influence stock price movements in the IDX30 index. This study contributes to the literature on stock market anomalies and provides insights for investors and policymakers regarding trading strategies and market efficiency in Indonesia.

Determining the price of option contracts is a crucial aspect of financial markets, particularly for investors aiming to manage risk and make informed investment decisions. In this study, the price of an Asian call option is calculated using the Monte Carlo Stratified Sampling method based on the stock price data of Tesla, Inc. (TSLA) from January 2021 to December 2023. This method has been proven to reduce variance compared to the Standard Monte Carlo simulation, leading to faster price convergence and more efficient results. The parameters used in the simulation include the initial stock price  (S_0), number of simulations (N), maturity time  (T)dividend = 0, risk-free rate (r), strike price ( K), and volatility