Foreign exchange rate exposure: Evidence from Canada
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
Abstract Using weekly data from 2003 to 2011, this paper examines the presence of exchange rate exposure in thirteen Canadian industry sectors. This study contributes to the literature in a number of ways: (i) it considers the presence of exposure not only in the full sample but also in the pre and post‐Global Financial Crisis (GFC) periods, (ii) it considers both linear and nonlinear exposure and (iii) it makes use of the sign and size bias tests to investigate the presence of asymmetric exposure. In general, we find some evidence of linear and nonlinear exposure in the full sample as well as in the pre and post‐GFC sub‐samples. We also find weak evidence of an asymmetric exposure sign effect on stock returns in the full and pre‐GFC sample periods. Stock returns are found to respond asymmetrically to the positive magnitude of exposure in both the‐pre and post‐GFC sample periods. In overall terms, the GFC appears to have weakly contributed to the overall strength of the exposure.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.002 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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