Investigation of the Anomaly Existence in the Advanced and Emerging Markets
Bibliographic record
Abstract
The main aim of this study is to investigate the existence of the anomalies which are the day of the week effect, Friday the thirteenth effect, January effect and full moon effect and is to reveal whether or not these anomalies become different between the advanced and emerging markets if there are these anomalies. In this study which used the daily close prices of 6 advanced and 6 emerging market indexes between 2000-2014 as data, the hypothesizes were tested by using Mann-Whitney U and Kruskal Wallis H tests. The findings of this study have revealed that there is the day of the week anomaly in Brazil, Peru, Poland, the United Kingdom and the Singapore stock exchanges; there is January anomaly in India and the UK stock exchanges; there is full moon anomaly in Turkey, Brazil, Poland, Japan, the USA and Canadian stock exchanges and there is Friday the thirteenth anomaly in Mexico. The findings of this study have also revealed that there is not a relationship between the development levels of the markets and aforementioned anomalies.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| 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".