Individualism, Uncertainty Avoidance, and Earnings Momentum in International Markets
Bibliographic record
Abstract
Abstract This study examines whether cultural dimensions such as individualism and uncertainty avoidance can explain the variation in the profitability of the earnings momentum strategies in international markets. Using the time‐varying cultural indices of Tang and Koveos (2008) for 30,383 firms from 41 countries over the period 1995–2008, we show that the level of individualism in a country is positively associated and the level of uncertainty avoidance is negatively associated with earnings momentum profits. Our findings are robust to the inclusion of a comprehensive set of control variables and alternative cultural metrics. The central message is that we emphasize the necessity to go beyond the assumption of perfect rationality and to account for innate differences among international investors to explain how accounting information is incorporated into stock prices. We recommend that cultural dimensions be included in cross‐country research to account for innate differences among international investors.
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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 | 0.008 | 0.020 |
| 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 | 0.001 | 0.003 |
| Open science | 0.001 | 0.002 |
| 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".