Foreign exchange operating exposure and pass-through in a homogeneous product market
Bibliographic record
Abstract
Purpose – Operating exposure to foreign exchange risk and exchange rate pass-through are investigated in the context of a Cournot model of equilibrium in a homogeneous product market, i.e. an industry populated by N firms, which compete exclusively on the basis of quantities produced/marketed and where each firm optimizes its decision based on expectations regarding the actions of its rivals that in fact eventuate. Whereas one firm sources its product domestically, the remaining N−1 firms source their product in a foreign country. The paper aims to discuss these issues. Design/methodology/approach – By invoking two simplifying assumptions, namely, constant marginal cost functions and a linear inverted demand curve, and then deriving the Cournot equilibrium, this paper obtains clear implications regarding the effect of a currency devaluation on the competitive positions of the industry’s N constituent firms as well as the pass-through effect on the industry price. Findings – The N−1 firms that source the homogeneous product from a foreign country, which experiences a devaluation, gain, while the single competing firm that sources domestically loses, both market share and profit. Formulas are derived which elucidate this intuitive result. The extent of exchange rate pass-through on the resulting equilibrium price is gauged to be incomplete, consistent with extant empirical evidence. As the number of firms increases, the extent of exchange rate pass-through likewise increases, approaching a limiting situation of complete pass-through. Originality/value – This paper is the first to examine the issues of exchange rate operating exposure and pass-through in the context of a Cournot model of competition, under the indicated two simplifying assumptions.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.002 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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".