A Study on China’s Deleveraging and Financial Stability Under the Background of Financial Globalization
Bibliographic record
Abstract
This paper studies the impact of financial globalization and leverage ratio on China’s financial stability. After the 2008 financial crisis, maintaining the stability of the financial system is China’s core task. However, due to the increasing degree of China’s opening up policy, the risk of foreign shock is increasing. Meanwhile the domestic policy of deleverage is implemented, so the superposition of domestic and foreign situations aggravates the uncertainty of financial stability. Therefore, this paper selects the relevant variables to empirically study the real impact of financial globalization and leverage ratio on China’s financial stability through VAR model. The results show that the indicators of financial stability are most affected by their own inertia, and the deepening of financial globalization and the increasing of leverage ratio will have a positive effect on financial stability at the beginning, but in the later stage it fluctuates a lot. Based on the findings, the China government should put more emphasis on dealing with the relationship between leverage ratio, foreign risks and financial stability when making domestic financial policies.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".