The Simultaneous Hedging of Price Risk, Crop Yield Risk and Currency Risk
Bibliographic record
Abstract
This study analyzes the joint hedging decision of a Canadian firm in U S. based price and yield futures. The key results of this study are that jointly hedging price and yield can reduce more revenue risk than hedging only with price futures. For offshore hedgers, the evidence shows that foreign exchange risk is important and can be reduced by jointly hedging in the currency futures markets. Nous analysons les décisions de couverture multiple d'une entreprise canadienne contre les risques afférents aux prix et aux rendement à terme. Les conclusions clés de l'étude sont qu'une couverture simultanée contre ces deux risques peut accorder une meilleure protection qu'une couverture établie seulement contre les risques des prix à terme. Pour ceux qui font affaire avec un pays étranger, l'expérience montre que le risque afférent au taux de change est important et qu'il est possible de le réduire en se couvrant en měme temps contre les risques affectant la valeur à terme de l'argent.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 source (direct Gemma or distilled Codex), 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".