Measuring the Impact of Financial Crisis on International Markets: An Application of the Financial Stress Index
Bibliographic record
Abstract
The scope of paper is to examine whether the recent financial crisis has had any impact on international capital markets and more precisely on the 4 primary international stock markets of England, France, Japan, the United States and Greece. The research is based on the use of the Financial Stress Index (FSI) from July 2005 until December 2008 and August 2009. Research results showed that the recent financial crisis has had a negative impact on all examined markets, with the Tokyo stock exchange being the one mostly affected. It was, also, found increased variability of performances following the start of the financial crisis, a fact that is indicative of the presence of conditional heteroscedasticity. As far as the Greek market is concerned, the recent financial crisis has not affected in general the credit expansion towards enterprises and households; however, it has affected the credit expansion to enterprises and households on a case-to-case basis.
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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 | 0.001 | 0.001 |
| 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 | 0.001 | 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 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".