Financial Management Studies

The Effect of Financial Ratios, Corporate Governance, and Macroeconomics on Financial Distress in Tourism Industry Service Companies Listed on the Indonesia Stock Exchange

2024-03-31T01:25:02+00:00

This study aims to analyze the effect of (1) profitability on financial distress, (2) liquidity on financial distress, (3) leverage on financial distress, (4) gender diversity on financial distress, (5) institutional ownership on financial distress, (6) ) inflation on financial distress, (7) interest rates on the financial distress of tourism industry service companies listed on the Indonesia Stock Exchange before and during the Covid-19 Pandemic. While the sample in this study was determined using the purposive sampling method, namely tourism industry service companies with data prior to the Covid-19 Pandemic for six consecutive years from 2014-2019 so that a total sample of 18 companies was obtained with 108 observational data and data during the Covid Pandemic. -19 for two consecutive years from 2020-2021 so that a total sample of 18 companies was obtained with 144 observational data. The analytical method used is the logistic regression method using the IBM SPSS Statistics 25 program.

The results of this study concluded before the Covid-19 Pandemic that (1) profitability as measured by ROE had a significant negative effect on financial distress, (2) liquidity as measured by CR was negative and did not have a significant effect on financial distress, (3) leverage as measured with DER having a significant negative effect on financial distress, (4) gender diversity is negative and has no significant effect on financial distress, (5) institutional ownership is positive and has no significant effect on financial distress, (6) inflation is negative and has no significant effect on financial distress, (7) positive interest rates and no significant effect on financial distress. While the results of research during the Covid-19 Pandemic concluded that (1) profitability as measured by ROE had a significant negative effect on financial distress, (2) liquidity as measured by CR had a significant negative effect on financial distress, (3) leverage as measured by DER negative and has no significant effect on financial distress, (4) gender diversity has a positive and no significant effect on financial distress, (5) institutional ownership has a significant positive effect on financial distress, (6) inflation has a significant negative effect on financial distress, (7) ethnicity positive interest and no significant effect on financial distress.

The The Influence of Financial Literacy and Adoption of Fintech Digital Payment on Financial Management Behavior of Bengkulu City MSME

2024-03-31T01:25:02+00:00

The Measurement Model of Social Capital, Risk Taking, and Entrepreneurial Financing Choice in SMEs in West Sumatra

2024-03-31T01:25:02+00:00

This study demonstrates the measurement model of Entrepreneurial Financing Choices, Social Capital, and Risk Taking of SMEs in West Sumatra in 2023, through (confirmatory factor analysis -- CFA). This study aims to test the accuracy of the measurement model with the data collected, with a large sample of 338 respondents. Data analysis was carried out using the Structural Equation Modeling (SEM) method using IBM SPSS Amos 24 software. SEM is also known as a two-step approach consisting of a measurement model test and also a structural model test. All indicators for each variable in this study have a loading factor value above 0,3 which indicates convergent validity is met. In the Entrepreneurial Financing Choice variable, the third indicator has the highest value of 0,962 and the first indicator has the lowest value of 0,435. In the Social Capital variable, the seventh indicator has the highest value of 0,858 and fourth indicator has lowest value of 0,395. In the Risk Taking variable, the second indicator has the highest value of 0,942 and the fifth indicator has the lowest value of 0,613.

The Effect of Firm Size, Gender, and Household Interference on MSEs Performance and Household Welfare in Indonesia

2024-03-31T01:25:02+00:00

This study aims to analyze the effect of business size, gender, and household interference on MSE performance and household welfare in Indonesia using raw data from the 2014 Indonesian Family Life Survey (IFLS-5), with a sample of 4,314 households running non-agricultural MSEs with their own capital. Given the heterogeneous characteristics of the data and the presence of outliers, this study uses the quantile regression method with confidence level (∝=0.05). The analysis shows that business size has a positive and significant effect on MSE performance. In contrast, gender and household interference have a negative and significant effect on MSE performance. Firm size has a positive effect on household welfare. Gender has a positive effect on household welfare, but is significant only at Q0.50. And household interference has a positive effect on household welfare, but is significant only at Q0.75.

The Influence of Corporate Governance Quality on Company Financial Performance with Capital Structure as a Moderating Variable in the Transportation & Logistics Sector on the Indonesian Stock Exchange

2024-03-31T01:25:03+00:00

This research aims to examine the influence of corporate governance quality on company performance with capital structure as a moderating variable. The population in this study were 36 transportation & logistics sector companies listed on the Indonesia Stock Exchange in 2018-2022. The sampling method is proportional sampling, so that 26 sample companies were obtained with 96 observations. The type of data used is secondary data obtained from the Indonesian Stock Exchange website, namelywww.idx.co.idand sample company websites. The data analysis method uses Moderated Regression Analysis (MRA) using a programIBM SPSS Statistics 25. The research results show that (1) the quality of corporate governance (CGI) has an insignificant negative effect on company performance (ROA) (2) capital structure (DER) is able to moderate the relationship between the quality of corporate governance (CGI) and company performance