Industrial output and stock price revisited: an application of the multivariate indirect causality model
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
This paper presents an analysis of the empirical relationship between stock returns, industrial production, money supply, inflation and interest rates across five countries—Canada, France, Japan, Taiwan and the USA. Specifically, we estimate a five‐variable vector autoregression model in order to answer the question: does industrial production predict stock returns directly or indirectly (i.e. does industrial production help predict a variable that itself predicts stock returns)? The key result is that there is no direct and significant statistical relationship in any of the five countries, but there is strong evidence of an indirect relation in Taiwan (via money supply) and another indirect relation in the USA (via interest rate). This indirect causality is verified by examining the relative predictability of stock returns both with and without the additional information. Predictability increases when the indirect relationship is exploited.
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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 | 0.001 | 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