Fear of Sovereign Default, Banks, and Expectations-Driven Business Cycles
Bibliographic record
Abstract
What is the effect of the fear of future sovereign default on the economy of the defaulting country? The typical sovereign default model does not address this question. In this paper we wish to explore the possibility that changing expectations about future default themselves can lead to financial stress (as measured by credit spreads) and recessionary outcomes. We exploit the "news-shock" framework to consider an environment in which sovereign debt-holders receive imperfect signals about the portion of debt that a sovereign may default on in the future. We then investigate how domestic banks can play a role in transmitting the expectation of default into a realized recession through the interaction of the domestic banks' holdings of government debt and their risk-weighted capital requirements. Our results suggest that, consistent with the data, even in the absence of actual realized government default, an increase in pessimism regarding the prospect of future default results in a rise in yields on government debt and an increase in interest rates on private domestic loans, as well as a recession in the economy.
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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 | 0.011 |
| 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 | 0.002 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 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".