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This research was conducted to determine the effect of Gross Domestic Product, company value, systematic risk on stock return of the kompas100 listed company. The population of this study were companies listed on the Kompas100 index for the 2017-2020 period, with a total sample of 53 companies based on a purposive sampling technique. This study uses panel data regression analysis with the Fixed Effect Model (FEM) regression model. Classical Assumption Test was adopted to test data validation. The results showed that Gross Domestic Product and systematic risk had a negative effect on stock returns, while firm value had no effect on stock returns, with a coefficient of determination of 74 percent. The findings in this study explain that Gross Domestic Product and Systematic Risk had a negative effect on stock return explained by the investors’ behavior in terms of decision-making. They tend to avoid market risk and purchase blue chip stock when it is reached its lowest. While firm value had no effect on stock return due to investors’ confidence and the good credibility of Kompas100 Index in sorting 100 stocks.

This research is in the form of quantitative research that aims to determine differences in stock prices, abnormal returns, and stock trading volumes before and after the stock split. The sample selection in this study was carried out using a purposive sampling method and obtained a sample of 58 companies from companies that listed on the Indonesia Stock Exchange and carried out stock split corporate actions during 2016 until 2020 period. Hypothesis testing in this study used the SPSS version 28 program using the Paired Sample T-test method for data that is normally distributed and the Wilcoxon Signed-Rank Test for data that is not normally distributed. The result of the research is that there is no difference between stock prices before and after the stock split, while there is a difference between abnormal returns before and after the stock split, and there is a difference between the stock trading volume before and after the stock split.

This study was conducted to find out whether there are differences in the financial performance of the Primary Consumer Goods Sector Companies before and during the Covid-19 outbreak. This study uses a probability sampling technique called the Slovin formula to determine the number of samples, the final result obtained is 72 samples of companies. The research period is one year before Covid-19 (2nd quarter of 2019 to 2nd quarter of 2020) and one year during Covid-19 occurs (2nd quarter of 2021 to 2nd quarter of 2022). Data processing in this study uses SPSS 28 with the Wilcoxon signed-rank test analysis technique. The results in the study state that there are differences for profitability and activity variable, while for liquidity and solvency variables shows that there are no differences before and during Covid-19.

This study aims to determine the effect of business diversification on stock prices by mediating company performance, represented by the variable ROE and EPS in a fluctuating coal price situation. The data used are 16 companies engaged in coal mining in Indonesia and listed on the Indonesia Stock Exchange (IDX) from 2012 to 2019. Using two analysis methods: path analysis to examine direct and indirect relationships between variables and different tests to see differences in the performance of companies that diversify and do not diversify. The results showed that coal commodity prices had a significant positive effect on stock prices and indirectly, through ROE and EPS, had a significant positive impact on stock prices. Business diversification directly has a significant negative impact on stock prices and indirectly through EPS positively affects stock prices. Business diversification provides a substantial difference to EPS and does not provide a significant difference to ROE.