The Financial Crisis of Banks (Before, During and After): An Intellectual Capital Perspective
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The purpose of this paper is to evaluate the link between intellectual capital components and financial performance across three temporal periods on either side of a financial crisis. The study offers a longitudinal approach, combining two data collecting methods. A survey on intellectual capital components was administered during the initial period followed by objective performance ratios in subsequent time periods (covering pre, during and post‐financial crisis analysis). Regarding the three periods in the study, evidence seems to support the argument that intellectual capital scores are good predictors of future banking performance. One bank in particular that was ranked very low in 2005 intellectual capital scores eventually failed to survive autonomously. By 2012, it was forced to be rescued by governmental aid using public funds. Generally speaking, we can argue that intellectual capital average scores are good predictors of future banking performance. The study's generalizability is limited to the Portuguese banking industry. This is the first academic research study to evaluate the link between intellectual capital and the financial performance of banks across three temporal periods: 2005–2006 (pre‐crisis), 2007–2008 (during crisis), and 2009–10 (post‐crisis). Copyright © 2014 John Wiley & Sons, Ltd.
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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 | 0.000 | 0.000 |
| 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 | 0.000 |
| 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 it