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This study aims to analyze the influence of profitability as proxied by Return on Equity (ROE), solvency as proxied by Debt to Equity Ratio (DER), and liquidity as proxied by Current Ratio (CR) on firm value as proxied by Price to Book Value (PBV) in the Indonesian food and beverage sector. The study focuses on the 2019-2023 period, a timeframe uniquely defined by the economic disruption of the COVID-19 pandemic and its initial recovery phase. The research method employed is a quantitative approach using multiple linear regression analysis. The sample consists of 10 companies listed on the Indonesia Stock Exchange (IDX), selected through a purposive sampling technique, resulting in 50 firm-year observations. The results indicate that both partially and simultaneously, the variables of profitability, solvency, and liquidity have a significant positive influence on firm value. This finding suggests that during a period of systemic crisis, the capital market places a valuation premium on companies that can demonstrate holistic and comprehensive signals of financial health. The novelty of this research lies in its contextualization of the dynamic role of financial ratios as crucial signals amidst an unprecedented economic shock. This study provides an empirical explanation for why investors prioritized stability and resilience, thereby reconciling conflicting findings in prior literature regarding the impact of liquidity on firm value.

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 determine whether there is a significant difference in stock returns before and after stock splits among companies listed in the LQ-45 Index on the Indonesia Stock Exchange (IDX) during the 2019–2023 period. A stock split is a corporate action believed to provide a positive signal to investors. This research uses a quantitative approach with an event study method. The sample consists of 14 companies that carried out stock splits while being listed in the LQ-45 Index. Stock returns are calculated using an 11-day event window and a 60-day estimation period. The data analysis technique employed is the paired sample t-test to examine the difference in returns. The results show a significant difference, with a p-value of 0.006 < 0.05. However, the difference is negative, as most companies experienced a decline in stock returns after the stock split. This decrease may be caused by investors engaging in profit-taking after the stock split euphoria, or due to the short observation period, which may not have fully captured the market’s response. The author recommends that companies carefully consider the timing and implications of stock splits and ensure transparent communication with investors.

The research focuses on identifying sell signals and buy signals in stock buying and selling transactions using technical analysis used by investors to achieve optimal profits. This study compares the influence of MACD and RSI indicators on sell signals and buy signals before and after using Islamic banking stocks listed on IDX. Next, to find out which indicator is more effective in identifying sell and buy signals. The research method used is quantitative with a descriptive research design . The data analyzed is secondary data obtained from data samples from PT. Bank Syariah Indonesia Tbk, PT. Bank BTPN Syariah Tbk, PT. Bank Panin Dubay Syariah Tbk, PT. Bank Aladin Syariah Tbk for the period 2018-2022. The result of the study is that there is no significant difference between sell signals and buy signals before and after the use of the Moving Avergence Convergence Divergence indicator and the Relative Strength Index indicator. Based on the t-test, each indicator states that using the RSI indicator has a positive value.