Capital Requirement and Financial Frictions in Banking: Macroeconomic Implications
Bibliographic record
Abstract
The author develops a dynamic stochastic general-equilibrium model with an active banking sector, a financial accelerator, and financial frictions in the interbank and bank capital markets. He investigates the importance of banking sector frictions on business cycle fluctuations and assesses the role of a regulatory capital requirement in propagating the effects of shocks in the real economy. Bank capital is introduced to satisfy the regulatory capital requirement, and serves as collateral for borrowing in the interbank market. Financial frictions are introduced by assuming asymmetric information between lenders and borrowers that creates moral hazard and adverse selection problems in the interbank and bank capital markets, respectively. Highly leveraged banks are vulnerable and therefore pay higher costs when raising funds. The author finds that financial frictions in the interbank and bank capital markets amplify and propagate the effects of shocks; however, the capital requirement attenuates the real impacts of aggregate shocks (including financial shocks), reduces macroeconomic volatilities, and stabilizes the economy.
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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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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 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".