When the Tail Wags the Dog: Industry Leaders, Limited Attention, and Spurious Cross-Industry Information Diffusion
Bibliographic record
Abstract
Within an industry, stock returns of larger firms lead those of smaller firms, suggesting an intraindustry information diffusion process. Most industry leaders, however, have business segments in other industries (henceforth, minor-segment industries), whereas most small firms are pure players operating in one industry only. If investors cannot filter out the irrelevant information from the leaders' minor segments, the pure players will be mispriced due to spurious cross-industry information diffusion (SCIID). Consistent with the SCIID hypothesis, we document both a strong contemporaneous and a lead–lag relation in stock returns between firms from industry leaders' minor-segment industries and pure players in the industry leaders' major-segment industry. Our results are not due to potential missing common factors or economic relationships between pure players and firms in the minor-segment industries. This paper was accepted by Wei Xiong, finance.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| 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".