Enactment of Default Point in KMV Model on CMBC, SPDB, CMB, Huaxia Bank and SDB
Bibliographic record
Abstract
This study’s objective was to solve the problem that probing default point of KMV in listed bank of China. A new model of default point is constructed, because Chinese listed banks on owing to the existence of non-tradable shares. The using of listed banks in China: CMBC, CMB, SDB, SPDB, HUA XIA BANK in the second half of 2004 to 2007 per annum related stocks and financial data. The model of DPT equal to current liabilities (STD) plus 0.25 Long-term debt (LTD) for CMB, SPDB ,CMBC, HUA XIA BANK; The model of DPT equal to current liabilities (STD) plus 0.75 Long-term debt (LTD) for SPB. At the same time, these models have been tested; the results will pass the test. The new model is feasible for probing default point of KMV in listed bank of China.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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 | 0.001 |
| 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".