Comparative Analysis of Value at Risk of Securities Market of China and U.S.
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
As a kind of tool that financial profession measures the risk of market,value at risk has already been accepted extensively.Calculate the expected value at risk of securities market of China and U.S.from the concept of expected value at risk,and draw three conclusions from research: first,seeing from the risk of invest,the risk of invest of securities market in China is higher than U.S.;second,the risk of invest of securities market of U.S.in the recent ten years is lower than the risk of one hundred year;third,science index of Shanghai stock exchange and index of Shenzhen stock exchange established,the quarter value at risk has obeyed distribution,but the quarter value at risk of Dao-Jones index of U.S.in one hundred year hasn't obeyed distribution,the quarter value at risk in recent ten years obeys distribution.
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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