Analysis of the Effect of Financial Ratio on Financial Disress in the Hospital Sector in the List of Sharia Securities Affected by the Covid-19 Pandemic
Bibliographic record
Abstract
This study aims to examine the effect of the current ratio, debt to asset ratio, return on assets and tobin's q in influencing the incidence of financial distress in hotel sector companies affected by the COVID-19 pandemic. The data used in this study is secondary data obtained from the company's financial statements in 2020 - 2021. The object of this research is the hotel sector company which is listed on the Indonesia Stock Exchange and is included in the category of the Sharia Securities List. This study uses a purposive sampling method in determining the research sample, then obtained 8 companies with a total of 56 financial reports from the first quarter of 2020 to the third quarter of 2021. The hypothesis testing used is panel data regression with a significance level of 5%. The results of this study are showing that return on assets have no effect on financial distress. Meanwhile, the current ratio, debt to asset ratio, and Tobin's q have an effect on financial distress.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".