Fair Value Accounting Practices and Efficiency of Banks: A Theoretical Perspective
Bibliographic record
Abstract
This conceptual paper discusses the impact of fair value accounting practices on performance of commercial banks in relation to the established banking theories i.e. Credit creation, fractional reserve and financial intermediation theory. These theories are discussed in view of historical cost accounting principles and fair valued accounting principles considering the performance in terms of efficiency during different stages of economic conditions. The analysis shows that fair value accounting practices in banks create reserves in economic booms improving efficiency and deteriorate created reserves in economic downturns causing financial crises. Enhanced financial performance in terms of unrealized gains improves the overall efficiency of banks in view of the intermediation approach of the financial intermediation theory. Therefore, it can be interpreted that external factors such as accounting, infrastructure, and technology can influence efficiency of the financial intermediation process. This is the first study to discuss the implications of fair value accounting on banking theory in view of performance of banks and stability of financial system.
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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 | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.001 |
| 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".