ABSTRAKTujuan dari penelitian ini adalah untuk menganalisa pengaruh rasio likuiditas, solvabilitas, profitabilitas, aktivitas, pertumbuhan terhadap terjadinya financil distress pada perusahaan manufaktur periode 2014-2016. Teknik analisis datanya meggunakan PLS (Partial Least Square) yang bertujuan untuk memprediksi besar pengaruh Current Ratio, Debt to Asset Ratio (DAR), Debt to Equity Ratio, ROA, ROE, NPM, Receviable Turn Over, Growth Ratio terhadap financial distress yang dilihat dari nilai EPS bernilai negatif 2 tahun berturut-turut. Hasil dari uji hipotesis bahwa rasio Likuiditas menunjukkan positive tidak signifikan terhadap terjadinya financial distress sedangkan rasio solvabilitas dan rasio pertumbuhan menunjukan positive signifikan kemudian rasio aktivitas dan profitabilitas menunjukkan bahwa negative signifikan terhadap financial distress. Dilihat dari nilai R-Square kontribusi pengaruh likuiditas, solvabilitas, profitabilitas, aktivitas, pertumbuhan terhadap financial distress sebesar 48,9 %. ABSTRACTThe purpose of this study was to analyze the effect of liquidity ratio, solvency, profitability, activity, growth on the occurrence of financil distress in manufacturing companies for the period 2014-2016. The data analysis technique uses PLS (Partial Least Square) which aims to predict the influence of Current Ratio, Debt to Asset Ratio (DAR), Debt to Equity Ratio, ROA, ROE, NPM, Receivable Turn Over, Growth Ratio to financial distress seen from EPS value is negative 2 years in a row. The results of the hypothesis testing that the Liquidity ratio shows no significant positive to the occurrence of financial distress while the solvency ratio and growth ratio show a significant positive then the activity and profitability ratios show that the negative is significant to financial distress. from the value of R-Square the contribution of the effect of liquidity, solvency, profitability, activity, growth on financial distress is 48.9%.
Due to the prospective local and international markets, the neon tetra fish breeding industry has its own charm for fish lovers and as a side business. The purpose of this study is to analyze the opportunities and difficulties associated with the cultivation of neon tetra fish in order to build a policy of “Blue Economy”. The research method uses qualitative techniques, focusing on an evaluation of literature reviews and data collection techniques sourced from descriptive materials. The key elements selected were: (1) the Department of Food and Fisheries Security (DKP3), as the Board of Trustees (2) Researchers from BRIN (National Innovation Research Agency), (3) Government (Sub-districts and Kelurahan), (4) POKDAKAN (Fish Cultivation Group) and (5) LPM (Community Empowerment Institution) and Chairman of RW/RT. The conclusion of the study states that the relevant Dinas should support local policies based on nature identification that are strengthened at the national level, namely that routine human resource training needs to be improved, technology needs to be taken into account in collaboration with the private sector, and that post-harvest and market access are very important for POKDAKAN. The findings of the SWOT analysis, which is in quadrant 1, indicate that POKDAKAN is in a position for a somewhat aggressive expansion.
This study aims to determine the relationship between financial distress and systematic risk, the relationship between financial distress and profitability, the relationship between systematic risk and stock returns, the relationship between profitability and stock returns, and the indirect effect between financial distress and stock returns through systematic risk and company profitability. by collecting data on the Indonesia Stock Exchange on chemical companies and the element industry in 2018-2020. This study was conducted to find out the answers to the impact caused by the global economic turmoil. Using the PLS-SEM method and four latent variables, which are divided into one endogenous variable, two moderating variables and one exogenous variable, it is hoped that it can provide value for the statistical calculation activities carried out. This study uses a quantitative descriptive method with two moderating variables that link financial distress and stock returns. This study produces a specific indirect effect; the financial distress variable significantly impacts Stock Return through systematic risk and profitability variables with a p-value < 0.05. The main finding of this study is the significant impact of world economic turmoil that must be faced by creating systematic risk to convince. Investors and provide education to potential investors.
This research discusses and analyzes scientific, macroeconomic, financial risk management, audit views, stock returns, investment decisions, funding decisions, and good corporate governance as a moderator. There are 147 samples of manufacturing companies listed on the Indonesia Stock Exchange. The results of this study indicate that there are four insignificant hypotheses. The results indicate: Macroeconomics does not have a substantial effect on Financial Risk Management, Good corporate governance (GCG) is having no significant impact on Going Concern Audit Opinion. Stock Return is having no significant effect on Going Concern Audit Opinion; GCG does not moderate the impact of Stock Return on Going Concern Audit Opinion when the level of significance is five percent.
The LQ45 index is the rank 45 ranking of the most liquid listed companies in the Indonesia Stock Exchange (BEI). By being in the LQ45 index, the company will be smoother in long-term funding because the shares circulating in the market tend to be more attractive if they are on the LQ45 index. This can be seen on the listing board for market activity published on the Indonesia Stock Exchange (BEI) website (www.idx.com). LQ45 companies tend to have high frequency of transaction values. To be indexed in LQ45, the Indonesia Stock Exchange does not specify how the financial conditions are the criteria of an LQ45 company. This study tries to look at the criteria of LQ45 companies through aspects of financial conditions. This is done by analyzing financial ratios in LQ45 companies and comparing them with non-LQ45 companies with the same sector. In this research was using 6 financial ratio with 25 financial ratio indicators. The number of samples in this study amounted to 230 companies then they are divided into 35 sample companies in the category of LQ45 companies and 195 companies in the category of non-LQ45 companies with the same sector. From discriminant analysis, the results of analysis can show whether there is a significant difference or not between the company's ROC indexed LQ45 and non-LQ45. The results output can be used as criteria for aspects of the financial situation that need to be observed by corporate stakeholders. The test results through discriminant analysis prove that there is a significant difference between LQ45 indexed company financial ratios and firms that are not indexed in LQ45 (non-LQ45). The results also prove that variables capable of distinguishing between companies indexed by LQ45 and those that are non-LQ45 from the 25 variables tested in this study include the dividend yield ratio (DYR), total assets turnover (TAT), per-share dividend (DPS), net working capital (NWC), market book value per share (MBVP), debt to equity ratio (DER), current ratio (CURRENT R), long term debt to equity (LTDE), account receivable turnover (ARTO), operating profit margin (OPM), fixed assets turnover (FAT), and inventory turnover (ITO). The most significant variable that distinguishes between indexed company financial ratio in the LQ45 index and companies not listed on the LQ45 index is dividend yield ratio (DYR).
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