Transmission of Shocks to LIBOR Risk Spreads and Nominal Risk-Free Rates
Bibliographic record
Abstract
In this study, effects of shocks to international money market conditions, as measured by the three-month London Interbank Offer Rates (LIBOR) for five financially integrated economies (United States, the euro zone countries, Great Britain, Japan, and Canada) are examined. The sample period runs from January 4, 1999, through December 31, 2010. A fiveequation vector autoregressive (VAR) model is developed using daily risk spreads between each country’s LIBOR and its nominal risk-free rate. Also, effects of the risk spreads on the respective nominal risk-free rates are identified in a separate VAR system. Based on the risk-spread VAR, effects of exogenous shocks are examined. Single-country impulse tests show that the feedthrough effects on the other countries are surprisingly limited for these integrated countries. Only when a shock is applied concurrently to all five risk spreads can effects on the magnitude noted in 2008 and 2009 be replicated, suggesting that all LIBOR rates were affected by a contemporaneous shock. Finally, a proportion of the shock to the risk-spread feed has an inverse effect on each country’s nominal risk-free rate, reflecting the effect of the flow of funds from risky assets to safe assets in a time of increased risk and vice versa.
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 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 | 0.000 |
| 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 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".