Impact of Price Indexes on Stock Market Prices of Banks in Financial Crises
Bibliographic record
Abstract
During times of crises, stock markets often experience heightened volatility, and the banking sector is particularly susceptible. This study aims to investigate the impact of index values on the daily closing prices of five banks during five major financial crises in recent decades, using logistic regression analyses. The results show that in five crisis periods, different indexes have a significant impact on the daily stock price of banks. Although there is no pattern found for different crisis periods because each bank has different investment instruments, the index, ind38- CFMRC (VWI) Over $2, seems to have a highly significant impact on the crisis periods I-IV and ind37- CFMRC (DEWI) Over $2 plays a significant role in predicting the outcomes. The findings indicate that banks should give particular focus to their investment instruments, particularly value-weighted indexes (VWI) over $2 and equal-weighted indexes (DEWI) over $2 when any indications of a crisis arise. This is crucial because these index values influence the daily closing prices of banks and could potentially contribute to economic crises. Moreover, larger banks are more sensitive to changes in the index values than smaller banks, attributed to variations in their investment amounts.
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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 | 0.002 | 0.025 |
| 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 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".