Effects of the Credit Boom on the Soundness of Vietnamese Commercial Banks
Bibliographic record
Abstract
This paper concentrates on examining the impact of the credit boom (2007-2010) on the soundness of the commercial banking system in Vietnam by using qualitative and quantitative methods. The results show that the credit boom in the period 2007-2010 had made Vietnam's banking system face many uncertainties such as difficulties in liquidity, increased non-performing loans... The influence of the credit boom on Vietnam's banking system is assessed on basic aspects such as asset quality, profitability, liquidity, capital adequacy... The quantitative analysis of the impact is made through the regression model using variables that show the characteristic of individual commercial bank and the volatility of the economy. The data is collected from 18 commercial banks in Vietnam in the period from 2005 to 2013, taken from the database BankScope and supplemented by information from the annual financial reports of the banks. Finally, in order to avoid the possibility of credit booms in the future and their effects on bank soundness in Vietnam, some recommendations related to credit growth are proposed for the authorities and the commercial banks.
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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 | 0.006 |
| 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 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".