Are Offshore RMB Arrangements the Basis for a Long‐term Exchange Rate System without Convertibility?
Bibliographic record
Abstract
Abstract This paper discusses China's relatively new structure of dual onshore and offshore RMB markets. Its distinguishing feature is both offshore trading at exchange rates that are market determined and onshore trading at exchange rates anchored at the official spot rate with capital account inconvertibility. We note that thus far the CNH and CNY spot rates have largely tracked each other, suggesting that the shadow price on the convertibility constraint onshore and also the offshore diversification benefit is close to zero. However, this could change in the future. We discuss the potential for the offshore RMB market to grow with trade settlement and bilateral swap arrangements in RMB, which would provide a big enough pool of liquidity for the RMB to become a vehicle currency and reserve currency. These potential developments will be restrained by onshore inconvertibility, but moving to convertibility seemingly implies major change in China's financial structure and the offshore RMB arrangements are only a small first step along this path. Crucial in this evolution of arrangements will be future Chinese growth performance and the relative attractiveness of onshore inconvertible but offshore marketable RMB relative to the debt laden and slow growth currencies of the USA, the EU and Japan.
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.016 | 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 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".