The Relationship between Conditional Conservatism and Financial Crisis
Bibliographic record
Abstract
Profit and loss invoice is the main accounting information. Investors pay the priority attention to net profit as the latest information item of profit and loss invoice. Conservatism has a great influence on investment and companies’ financial crisis. The main purpose of this research is studying the relationship between conditional conservatism and financial crisis in accepted companies in Tehran Stock Exchange during time period of 2009 up to 2014. Statistical society is used by screening (omissive) model for selecting a sample which is studied in 122 companies. Current research methodology is applicative by aiming, its type is correlated, its model is panel data and for analysis by software of EVIEWS8. Also, obtained result by first subsidiary hypotheses represent a straight relationship between firm size and companies’ financial crisis and second subsidiary hypotheses represent a straight relationship between financial leverage and companies’ financial crisis. There is not a meaningful relationship between reserved cash fund and financial crisis in third subsidiary hypotheses. There is a meaningful relationship between sale growth and financial crisis in forth subsidiary hypotheses. There is a straight and meaningful relationship between tangible properties and financial crisis in fifth subsidiary hypotheses. In sixth subsidiary hypotheses, there is a negative and meaningful relationship between growth opportunity and financial crisis.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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 source (direct Gemma or distilled Codex), 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".