Explore publications.

This study aims to analyze the development and soundness of banks from financial performance ratios in banking companies listed on the IDX in 2016-2021 using the RGEC approach; analyze the effect of the ratios used in RGEC on stock returns in banking companies listed on the IDX in 2016-2019 or before Covid19; analyzed the effect of the ratios used in RGEC on stock returns in banking companies listed on the IDX in 2020-2021 or during the Covid-19 pandemic. The sample consisted of the banking sub-sector listed on the IDX in the period 2016 to 2021. The data analyzed using the RGEC method. Based on the calculation of bank rating (bank soundness level), it can be seen that the key figures for the risk profile, GCG, earning and equity (RGEC) in the banking sub-sector listed on the IDX developed well in 2016-2021 in the banking sector on average from 39 banks studied. There are 11 Banks that are in Composite Rating 1 (Very Healthy), 25 Banks are on Composite Rating 2 (Healthy) and 3 Banks are on Composite Rating 3 (Sufficiently Healthy). Based on the results of panel regression tests in 2016-2019 (before Covid-19), bank rating (bank soundness level) which include risk profile (NPL and LDR), GCG, earnings (ROA and NIM) and equity (CAR) together have an effect of 28.89% of bank stock returns and 71.11% of stock returns are influenced by other factors outside the variables studied. However, based on the p-value results, the variables NPL, GCG, NIM and CAR have no significant effect on bank stock returns, while the LDR and ROA variables have a significant effect on stock returns. In general, the soundness of banks listed on the IDX is in a healthy condition. Whereas the results of panel regression tests in 2020-2021 (after Covid-19), bank rating (bank soundness level) which include risk profile (NPL and LDR), GCG, earnings (ROA and NIM) and equity (CAR) together have an effect of 4.93% of bank stock returns and 95.07% of stock returns are influenced by other factors outside the variables studied. However, based on the results of the p-value variables, NPL, LDR, GCG, ROA, NIM and CAR have no significant effect on bank stock returns. However, in general, the health level of banks listed on the IDX during the Covid-19 pandemic is in a healthy condition.

This study analyzes the effect of capital structure on the performance of telecommunications firms. The firm performance is measured by return on assets while capital structure is proxied with the ratio of debt total assets. Data of telecommunication firm in 62 countries period of year 2010-2020 proceed with a dynamic data panel regression model using the generalized method of moment approach. The empirical results indicated that capital structure of telecommunication firm has significantly impact to the firm performance in developed and developing countries as well as in integrated and wireless telecommunication firms.  The other factors that effect on firm performance are firm size and growth. The novelty of this study lies in the scope of analyses that cover world-wide telecommunication industry based on demographic group (developed and developing countries) and main businesses (integrated and wireless telecommunication).