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This study aims to examine the effect of profitability ratios, namely Earnings per Share (EPS), Net Profit Margin (NPM), Return on Assets (ROA), and Return on Equity (ROE), on the stock price of PT Ciputra Development Tbk during the 2016–2023 period. The research employs a quantitative approach with a causal research design using secondary data derived from quarterly financial statements and stock closing prices published by the Indonesia Stock Exchange. The data were analyzed using multiple linear regression, supported by classical assumption tests, partial hypothesis testing (t-test), simultaneous testing (F-test), and the coefficient of determination (R²). The results show that EPS, NPM, and ROA do not have a significant effect on stock prices, while ROE has a positive and significant effect. Simultaneously, all profitability variables do not significantly influence stock prices. The coefficient of determination indicates that profitability ratios explain a relatively small proportion of stock price variation, suggesting that stock prices in the property sector are influenced more by external and market-related factors than by short-term profitability indicators. These findings imply that ROE is the most relevant profitability indicator for investors in assessing property sector stocks, while other profitability ratios play a limited role.

This study analyzes the effect of Bitcoin prices, the LQ45 Index, mutual fund net asset value (NAV), and the net profit margin (NPM) of gold mining companies on the price of gold as a safe haven asset within the context of the Indonesian financial market. Gold is often seen as a safe haven asset that is the primary choice of investors when economic uncertainty increases, but the relationship between gold and various other investment instruments still requires further study. This study uses a multiple linear regression method with a robust standard errors approach to analyze 420 monthly and quarterly data observations during the 2018-2022 period. The results of the study found that the price of Bitcoin and the NPM of gold mining companies had a significant positive influence on the price of gold, while the LQ45 Index had a significant influence effect. Meanwhile, the NAV of mutual funds showed a significant positive influence that was not in line with the initial hypothesis. These findings indicate that gold does not always function absolutely as a safe haven asset, as its role is contextual and still influenced by the dynamics of other investment instruments such as digital assets, stock markets, and mutual funds. The study's results make an important contribution to financial literature by proving that the safe haven characteristics of gold are complex and dynamic, so investors need to consider various factors and market conditions before allocating investments to gold as a hedging strategy in their portfolios.

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 analyzes the practice of staple food price manipulation at Cik Puan Market in Pekanbaru, which is alleged to be carried out by a group of traders through stockpiling, supply coordination, and price regulation that could potentially cause market distortions. This phenomenon has led to unreasonable price increases in strategic commodities such as chili, onions, rice, cooking oil, and chicken, thereby negatively affecting consumers and regional economic stability. This research uses a normative juridical approach with descriptive qualitative analysis methods, supported by empirical data from local government reports, official news, and findings from trade department supervision. The results of the study indicate that these price manipulation practices are in violation of Articles 5, 11, and 19 of Law No. 5 of 1999 about Consumer Protection. This study emphasizes that the weak supervision of the supply chain in traditional markets, as well as the minimal coordination between agencies, causes price manipulation practices to continue repeatedly. It is necessary to strengthen law enforcement, ensure transparency in the distribution of basic necessities, and enhance the role of local governments and the KPPU in order to create stable, competitive, and fair prices for the public.

This study aims to analyze the capital market reaction to the groundbreaking event of the new capital city (IKN) on the stock prices of property and construction sector companies listed on the Indonesia Stock Exchange (IDX). This research employs a quantitative approach using the event study method with an observation period of 11 days, consisting of 5 days before (t-5), the event day (t), and 5 days after (t+5) the event. The sample includes property and construction sector companies that were actively traded during the observation period. Data analysis was conducted using the Paired Sample t-test through SPSS to examine differences in Abnormal Return (AR), Cumulative Abnormal Return (CAR), and Trading Volume Activity (TVA) before and after the event. The results show that there is no significant difference in AR and TVA, but there is a significant difference in CAR, indicating that the market reacted cumulatively to the groundbreaking IKN information. These findings support the semi-strong form of market efficiency theory, suggesting that the market requires time to fully reflect information into stock prices.

This study examines the stock market reaction to the Christmas and New Year holidays by analyzing abnormal return and trading volume activity for companies consistently listed in the LQ45 Index during 2021–2023. Using a quantitative causal approach and an event study design, the research observes market behavior within a 10 day estimation window and a 10 8day event window surrounding the holiday period. The findings show that abnormal return exhibits limited but notable reactions, with a significant decline observed before the holiday, indicating that investors tend to reduce risk exposure prior to market closure. After the holiday, significant movements still appear, but they remain negative, suggesting that investor activity and confidence have not fully recovered. In contrast, trading volume activity does not show significant differences either before or after the holiday, implying that changes in prices are influenced more by sentiment and price adjustments rather than shifts in trading intensity. These results indicate that the Indonesian capital market demonstrates characteristics of a semi-strong form efficiency, where public information such as national holidays is largely anticipated and absorbed by the market.

This study investigates the impact of Environmental, Social, and Governance (ESG) Risk Ratings on stock prices of companies listed in the ESG Leaders Index on the Indonesia Stock Exchange during the period 2020–2023. Using the Ohlson (1995) valuation model as the theoretical framework, the research examines the value relevance of financial information—proxied by Book Value per Share (BVPS) and Earnings per Share (EPS)—and non-financial information in the form of ESG risk ratings. The study employs purposive sampling, resulting in an unbalanced panel dataset of 120 firm-year observations. Panel regression analysis with the Random Effect Model (REM) is applied, supported by classical assumption tests and sensitivity analysis. The findings reveal that BVPS has a positive and significant effect on stock prices, highlighting its role as a stable and value-relevant measure for investors. By contrast, EPS shows a positive but insignificant relationship, confirming the declining relevance of earnings in the Indonesian market. Moreover, ESG Risk Ratings exhibit a negative but statistically insignificant effect, suggesting that while firms with higher ESG risks tend to be valued lower, sustainability considerations are not yet consistently incorporated into equity valuation by Indonesian investors. These results imply that financial fundamentals, particularly BVPS, remain the dominant factor in stock price determination, whereas ESG information has not yet achieved value relevance in the Indonesian context. The study underscores the need for stronger regulatory enforcement, standardized ESG disclosure, and greater investor awareness to enhance the integration of sustainability risks into capital market decision-making.

This study aims to examine various factors that influence customers' engagement in choosing the Cicil Emas product as a form of long-term investment at Bank Muamalat Purwokerto. This research is based on the increasing trend of gold investment in the community caused by the increase in gold prices and awareness of the importance of halal investment according to sharia principles. This study uses a descriptive qualitative approach with data collection techniques through interviews, observations, and documentation of Bank Muamalat Purwokerto. The results show that customer interest is influenced by several main factors, namely trust in sharia principles through the murabahah contract, a positive perception of gold as a stable investment asset, the ease of installment procedures that are flat and transparent, and the efficiency of the payment system through autodebit. In addition, social factors such as family recommendations and active promotions from the marketing department also strengthen customer interest. From the SWOT analysis, it was found that the main strength of this product lies in Bank Muamalat's reputation as a pioneering sharia bank and a stable installment system, while its main weaknesses are limited physical gold stocks and low public investment literacy. With increasing public awareness of sharia investment and the large market potential in Purwokerto, the Cicil Emas product has strong prospects for continued growth as a safe and Islamically-compliant long-term investment instrument.

This study aims to analyze the Effect of Return on Equity (ROE), Total Asset Turnover (TATO), Net Profit Margin (NPM) on Stock Prices in food and beverage companies listed on the Indonesia Stock Exchange for the 2020-2024 period. The approach in this study is to use a quantitative approach, and based on the objectives, this type of research is causal. The independent variables in this study include Return on Equity (ROE), Total Asset Turnover (TATO), and Net Profit Margin (NPM) and the dependent variable in this study is Stock Price. The population in this study is food and beverage companies listed on the Indonesia Stock Exchange, totaling 27 companies for the 2020-2024 period. This study uses the Purposive Sampling method, selecting 18 companies multiplied by 5 periods, resulting in a sample size of 90 samples in this study. This study uses descriptive statistical analysis using secondary data with descriptive statistical tests. Continued with the classical assumption test using the multiple regression model hypothesis testing method. This study uses panel data regression tool analysis with the help of SPSS 26 application tools. The results of the study show that: (a) Return on equity (ROE) has a positive effect on share prices, (b) Total Asset Turnover (TATO) does not have an effect on share prices, (c) Net Profit Margin (NPM) has a positive effect on share prices.

The purpose of this research is to analyze and find out how the company's growth, capital structure and company size affect stock prices in sub-sector, ceramics, porcelain and glass companies listed on the IDX for the 2018-2023 period. This research is an associative quantitative research using secondary data taken from the company's annual financial statements. The sampling technique in this study uses purposive sampling. In this study, 48 samples were obtained for 6 years (20182023). The analysis tool used in the regression analysis of panel data was conducted using E-views 13. Based on the research that has been carried out, it can be concluded that the company's growth partially has a significant effect on the stock price, the company's capital structure and size partially do not have a significant effect on the stock price. Then  the company's growth, capital structure and company size simultaneously have a significant effect on the stock price of companies in the ceramics, porcelain and glass sub-sector listed on the IDX for the 2018-2023 period.

This study aims to analyze the effect of cum and ex-dividend dates and company size on stock prices using the Dividend Payout Ratio (DPR) as a moderating variable. This study uses multiple linear regression analysis with moderating variables on companies listed on the Indonesia Stock Exchange. This research is based on signaling theory, which states that dividend information can serve as a signal for investors in making investment decisions. The results of the study indicate that all independent and moderating variables in the model simultaneously have a significant influence on stock prices. This suggests that the regression model used in this study is valid and can comprehensively explain stock price variations. This study implies that companies need to develop a more structured financial communication strategy, particularly in the disclosure of dividend information. Not only should the timing of dividend distribution be communicated, but the number of dividends to be distributed should also be clearly communicated to strengthen investor response. The implementation of this strategy must be accompanied by compliance with OJK and IDX regulations to maintain market confidence and increase the value of company shares.

This study aims to analyze the effect of Total Asset Turnover (TATO) on stock prices at PT Baramulti Suksessarana Tbk during the 2014–2023 period. TATO is an activity ratio that measures how efficiently a company utilizes its total assets to generate sales. This research employs a quantitative associative approach using secondary data obtained from the company’s annual financial statements published by the Indonesia Stock Exchange. Data were analyzed using simple linear regression to determine the relationship between the independent variable (TATO) and the dependent variable (stock price). The results show that TATO has a positive and significant effect on stock prices, with a correlation coefficient of 0.859 and a significance value of 0.001 (p < 0.05). This indicates that the more efficiently a company uses its assets to generate sales, the higher its stock price will be. The findings support the signaling theory and efficient market hypothesis, suggesting that asset efficiency serves as a positive signal for investors in evaluating firm performance.

This study aims to analyze the effect of changes in interest rates, exchange rates, economic growth, and world oil prices on stock returns in the transportation and logistics sector in Indonesia during the period 2006–2024. This sector was chosen because it is highly vulnerable to fluctuations in macroeconomic factors that have a direct impact on companies' operating costs and financial performance. The method used is multiple linear regression with an annual panel data approach, using a sample of transportation and logistics companies listed on the Indonesia Stock Exchange. The independent variables include changes in interest rates, exchange rates, economic growth, and oil prices, while the dependent variable is stock returns. The results show that, partially, only changes in interest rates have a significant negative effect on stock returns. Conversely, exchange rates, economic growth, and oil prices have no statistically significant effect. Simultaneously, these four variables also show no significant effect on stock returns. This study makes a new contribution through the use of a long observation period and a focus on the transportation and logistics sector, thereby providing a deeper understanding of this sector's sensitivity to macroeconomic conditions.

The capital market is a place for various investment instruments, ranging from short-term to long-term. Before buying shares in the capital market, investors need to analyze the share prices of selected companies to predict large profits. The higher the share price, the greater the possibility of making a profit. This study aims to determine the factors that influence the stock prices of companies in the hotel, resort, and shipping sub-sectors listed on the IDX for the period 2019–2024. The dependent variable in this study is stock price, while the independent variables are financial performance and sustainability report disclosure. Financial performance variables are proxied by DER, Current Ratio, ROA, and TATO. This is a quantitative study using secondary data obtained from annual reports and sustainability reports taken from the companies' official websites. The number of samples used in this study is 10 companies using classical assumption techniques, multiple linear regression analysis, determination tests, and ending with hypothesis testing. The results show that DER and Current Ratio have a negative effect on stock prices. ROA, TATO, and sustainability report disclosure partially have no effect on stock prices. Meanwhile, financial performance and sustainability report disclosure simultaneously affect stock prices.

Bank Syariah Indonesia (BSI) faces challenges in optimizing financial performance and market valuation following the merger process in 2021. This study aims to analyze the influence of Third Party Funds, liquidity, and Islamicity Performance Index on BSI stock prices during the period 2021-2025. The research employs multiple linear regression analysis method using monthly data from BSI financial reports and stock price data from the Indonesia Stock Exchange. The results indicate that Third Party Funds have a negative but non-significant effect on BSI stock prices, suggesting that increases in Third Party Funds do not automatically enhance stock valuation as investors are concerned about the profit-sharing burden that must be paid. Liquidity has a positive and significant effect on stock prices, demonstrating that fund distribution efficiency is the primary factor evaluated by investors. The Islamicity Performance Index has a negative and significant effect on stock prices, confirming that investors interpret high sharia compliance indices as reducing profitability for shareholders. This study confirms that investors in evaluating Bank Syariah Indonesia stocks prioritize operational efficiency over operational scale or sharia compliance orientation.

This Field Work Practice (KKL) was conducted at Delastra Farm Yogyakarta with the objective of analyzing the implementation of marketing strategies to increase sales in the livestock sector. The research employed a qualitative approach through observation, interviews with the business owner, and documentation review. Findings reveal that Delastra Farm adopts integrated marketing strategies combining online promotion, offline promotion, and community networking. The application of Segmentation, Targeting, and Positioning (STP) as well as the Marketing Mix (product, price, place, promotion) has significantly enhanced consumer trust and strengthened the farm’s market position. Peak sales were recorded during Eid al-Adha, supported by stock increases, intensive promotions, and delivery services that meet customer expectations. Supporting factors include product quality, the credibility of the owner as both practitioner and academic, and varied promotional strategies across digital and traditional platforms. However, the farm faces several challenges, such as limited capital, fluctuating feed prices, and intense competition within the livestock market. This study highlights the importance of digital marketing adoption, customer relationship management, and product diversification to reduce seasonal risks. The practical implication is that effective marketing strategies can improve not only sales performance but also long-term brand positioning for local livestock businesses. Theoretically, this activity demonstrates the relevance of applying marketing management concepts to micro and small-scale enterprises in the agricultural sector. Strategic recommendations include strengthening digital presence through social media and marketplaces, expanding partnerships with restaurants and religious institutions, and exploring external funding to support sustainable business growth.

This Field Work Practice (KKL) was conducted at Delastra Farm Yogyakarta with the objective of analyzing the implementation of marketing strategies to increase sales in the livestock sector. The research employed a qualitative approach through observation, interviews with the business owner, and documentation review. Findings reveal that Delastra Farm adopts integrated marketing strategies combining online promotion, offline promotion, and community networking. The application of Segmentation, Targeting, and Positioning (STP) as well as the Marketing Mix (product, price, place, promotion) has significantly enhanced consumer trust and strengthened the farm’s market position. Peak sales were recorded during Eid al-Adha, supported by stock increases, intensive promotions, and delivery services that meet customer expectations. Supporting factors include product quality, the credibility of the owner as both practitioner and academic, and varied promotional strategies across digital and traditional platforms. However, the farm faces several challenges, such as limited capital, fluctuating feed prices, and intense competition within the livestock market. This study highlights the importance of digital marketing adoption, customer relationship management, and product diversification to reduce seasonal risks. The practical implication is that effective marketing strategies can improve not only sales performance but also long-term brand positioning for local livestock businesses. Theoretically, this activity demonstrates the relevance of applying marketing management concepts to micro and small-scale enterprises in the agricultural sector. Strategic recommendations include strengthening digital presence through social media and marketplaces, expanding partnerships with restaurants and religious institutions, and exploring external funding to support sustainable business growth.

This study aims to analyze the effect of Market Value Added (MVA), Price Book Value (PBV), and Total Asset Turnover (TATO) on stock prices of telecommunication subsector companies listed on the Indonesia Stock Exchange (IDX) during the period 2019–2023. The research employed a quantitative approach using multiple linear regression analysis. The sample consisted of three companies, PT Telkom Indonesia Tbk, PT Indosat Tbk, and PT XL Axiata Tbk, selected through purposive sampling. The results show that MVA and PBV have a significant positive effect on stock prices, while TATO has no significant effect. Simultaneously, MVA, PBV, and TATO significantly influence stock prices with a determination coefficient of 68.3%. These findings indicate that investors place greater emphasis on value-added and market perception indicators rather than asset efficiency in making investment decisions within the telecommunication subsector. This study provides practical implications for company management to enhance value creation through innovation and strategic asset management, as well as academic contributions to enrich the literature on stock price determinants in the Indonesian capital market.

Stock returns represent a crucial parameter that serves as a reference for investors in evaluating company performance. A decline in returns has occurred in several mining companies listed on the IDX, despite the sector’s vital role in the national economy. This study aims to examine the effect of Corporate Social Responsibility (CSR), Return on Assets (ROA), Return on Equity (ROE), Debt to Equity Ratio (DER), and Firm Size on the stock returns of mining companies listed on the IDX during the 2022–2024 period. The sample was determined using purposive sampling, resulting in 56 observational data after outliers were removed. To meet the assumptions of classical tests, several variables were transformed using natural logarithms, and data were analyzed using multiple linear regression. The results indicate that CSR, ROE, and Firm Size have no significant effect on stock returns, whereas ROA and DER show a significant positive effect. These findings suggest that investors tend to emphasize financial fundamentals, particularly profitability and capital structure, rather than non-financial aspects such as CSR activities. The implication for companies is the need to enhance operational efficiency and optimize financial structures to attract investors and improve returns. Future researchers are encouraged to incorporate external variables such as global commodity prices, market risk, and macroeconomic indicators, as well as expand the observation period and apply more diverse methodological approaches to provide a more comprehensive understanding of stock return dynamics in the mining sector.

This research aims to determine the effect of Return on Assets (ROA), Earnings per Share (EPS), Debt to Equity Ratio (DER), and Total Asset Turnover (TAT) on Stock Prices. The population of this study consists of companies in the Transportation and Logistics sub-sector listed on the Indonesia Stock Exchange (IDX) for the period 2020-2024. Secondary data is used in this research, and purposive sampling techniques are employed, resulting in a sample of 22 companies within the Transportation and Logistics sub-sector from a population of 37 companies listed on the IDX during the same period. The research employs multiple linear regression analysis, with data processed using the Statistical Program for Social Science (SPSS) version 22. The results of the study reveal that ROA, EPS, and TAT significantly affect stock prices, while the DER does not have a significant effect on stock prices. The findings provide insight into the importance of financial indicators such as ROA, EPS, and TAT in determining the stock prices of companies within the Transportation and Logistics sub-sector. This study contributes to the literature on the relationship between financial performance metrics and stock prices, offering useful insights for investors and decision-makers in the financial market. Further research may explore other factors influencing stock prices and the role of corporate governance in shaping financial outcomes.