Endogenous Inflows of Speculative Capital and the Optimal Currency Appreciation Path
Bibliographic record
Abstract
This paper examines the optimal appreciation path of an under-valued currency in the presence of speculative capital inflows that are endogenously affected by the appreciation path. A central bank decides the optimal appreciation path based on three factors: (i) Misalignment costs associated with the gap between the actual exchange rate and the fundamental exchange rate, (ii) short-term adjustment costs due to fast appreciation, and (iii) capital losses due to speculative capital inflows. We examine two cases in which speculators do and do not face liquidity shocks. We show that, in the case without liquidity shocks, the central bank should appreciate quickly to discourage speculative capital, and should appreciate more quickly in initial periods than in later periods. In the case with liquidity shocks, the central bank should pre-commit to a slow appreciation path to discourage speculative capital. The central bank should appreciate slowest when the probability of liquidity shocks takes middle values. If the central bank cannot commit and can only take a discretionary policy, appreciation should be faster.
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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 | 0.001 | 0.007 |
| 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 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".