What explains the lack of monetary policy influence on bank holding companies?
Why this work is in the frame
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Bibliographic record
Abstract
Abstract In this paper, we investigate how monetary policy innovations affect the equity returns of bank holding companies (BHCs). We also examine bank characteristics to determine what explains the cross‐sectional and time‐series variation in the returns' sensitivity. Similar to non‐financial firms, we find that only unanticipated components affect bank equity returns; however, this effect is absent in the second half of our sample period. Smaller, less liquid banks have higher sensitivity; a higher ratio of time deposits to total deposits reduces this sensitivity. A higher ratio of non‐interest income to total income also reduces this sensitivity, while capital‐constrained banks have a higher sensitivity to monetary policy innovations. We argue that a higher dependence on non‐interest income and the use of interest rate derivatives together may explain the disappearing influence of monetary policy on these BHCs.
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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 | 0.002 | 0.001 |
| 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 | 0.000 |
| Open science | 0.001 | 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 it