Effects of Financial Distress Condition on the Company Performance: A Malaysian Perspective
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
This study was aim to assess the performance of Malaysian companies after suffering from a financial distress condition. Many companies post abnormal profits during their first few years, but the profits are not sustainable. So they face another restructuring petition or face winding up completely. To be able to show positive results after emergence, companies must improve their performance compared to previous financial results which led to downturn. The performance of companies emerging from a distress condition was assessed by the improvement of stock prices and other financial ratios that indicated the company is performing better compared to pre-bankruptcy period. This is a qualitative study where data collected from Bursa Saham Malaysia. The results show that company performance (ROE, EBIT/TA, EPS), successful company reorganisation, and management change affect stock prices positively. Whereas, the performance of second distress condition companies affect stock price performance negatively.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 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 it