Holiday Effects in the US Equity Futures Markets
Bibliographic record
Abstract
We investigate the holiday effect in US equity futures markets during three sub-periods 1993-2011, 1993-2020, and during the 2020 covid-19 year for small cap stocks measured by the Russell2000 and large cap stocks measured by the S&P500. All the days from -3 before the holiday to -1 had gains and for the large caps there were gains on +1 and +2. The effect is stronger for the small caps. The year 2020 had results similar to the longer series with positive gains. We show the various holidays by holiday day and observe that the -3 day had gains on all the holidays whereas the other days did not. The effect has diminished in the 1990s and 2000s and only the -3 day is statistically significant. The -3 day in the futures anticipates the cash move on -1 day.
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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 | 0.009 | 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 | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".