Revenue Sharing in Professional Sports Leagues as a Hedge for Exchange Rate Risk
Why this work is in the frame
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Bibliographic record
Abstract
Professional sports leagues that feature teams in different countries with different currencies are exposed to exchange rate uncertainty and risk. This is particularly evident for three professional sports leagues that feature teams in the United States and Canada. We construct a simple model of a profit-maximizing team that earns its revenue in one currency and meets its payroll obligations in a second currency and participates in a league-imposed revenue-sharing plan. Team profit can increase or decrease due to movements in the exchange rate based on a simple condition. Revenue sharing reduces the exposure to exchange rate uncertainty and risk. Hedging is possible for a single team by adjusting its payroll, but not likely. Some elementary calculations suggest this previously unrecognized benefit of revenue sharing is substantial for baseball's Toronto Blue Jays.
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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 | 0.001 |
| 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 it