Articles

Analysis of the Probability of Financial Distress as a Moderating Variable that Influences Stock Returns in Coal Companies (2018-2022)

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This research was conducted to examine and analyze the influence of operating activity cash flow, investing activity cash flow, financing activity cash flow, liquidity, and total asset turnover as independent variables on stock returns as the dependent variable, along with the ability of probability financial distress to moderate the relationship between the independent variable and the variable dependent. The research method in this research is quantitative research with panel data regression analysis using the EViews application. The research object in this study is coal companies listed on the Indonesia Stock Exchange for the 2018-2022 period. The sampling technique used purposive sampling and found 130 observations. The research results show that operating activity cash flow has a positive effect on stock returns. Meanwhile, investing activity cash flow, financing activity cash flow, liquidity, and total asset turnover have no effect on stock returns. The probability of financial distress is unable to moderate the relationship between operating activity cash flow, investing activity cash flow, financing activity cash flow, liquidity, and total asset turnover with stock returns.

Differences in Financial Performance of LQ45 Companies Listed on the Indonesian Stock Exchange during the Covid-19 Pandemic

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The global economy has been hit by a crisis, including the Covid-19 pandemic, which is no different than what Indonesia is experiencing. The pandemic has infected and affected the economic power of all countries. Performance during a pandemic should be studied very diligently. This phenomenon led to the first research on Indonesian companies. The purpose of this study is to determine the company’s performance before the pandemic and during his Covid-19 pandemic. For this, the researcher uses the “strong” firms in the Indonesian capital market – his LQ-45 firms. A total of 45 and 21 companies from various sectors were obtained using a targeted random sampling method. This data is collected through annual financial reporting for the 2018-2019 pre-pandemic and 2020-2021 during the Co-19 pandemic. Variables used to define company performance are current ratio (CR), gearing (DER), total assets turnover (earnings), return on equity (ROE), and earnings per share (EPS) is. Using these variables is suggested by researchers as representative of each company’s financial metrics. The research method used is another test of paired data. A data normality test was previously performed and found that the data used were not normally distributed. Therefore, for further analysis to determine whether there were differences before and during the Covid-19 pandemic, the Wilcoxon paired difference test was used in the analysis. We found no difference in firm performance between CR and DER variables before and during. However, when it comes to revenue, ROE and EPS, there are differences in company performance in the LQ-45. Apart from that, these results also show that business performance has declined during the Covid-19 pandemic.