Valuation of financial institutions in the light of International valuation standards
Bibliographic record
Abstract
CĂlem pĹĂspÄvku je proto posoudit, zda navrĹženĂŠ ÄeskĂŠ oceĹovacĂ standardy pro finanÄnĂ instituce (ÄOSFI) jsou v souladu se zĂĄkladnĂmi principy a postupy MezinĂĄrodnĂch oceĹovacĂch standardĹŻ (IVS), coĹž by zvýťilo jejich relevantnost, seriĂłznost a vypovĂdacĂ schopnost. Pro ĂşÄely naplnÄnĂ cĂle tohoto pĹĂspÄvku je vyuĹžita metodika analĂ˝zy IVS i ÄOSFI a jejich komparace s nĂĄslednou syntĂŠzou zĂskanĂ˝ch poznatkĹŻ do pĹĂsluĹĄnĂ˝ch zĂĄvÄrĹŻ. Tento cĂl byl splnÄn a struÄnou analĂ˝zou a nĂĄslednou komparacĂ zĂskanĂ˝ch poznatkĹŻ bylo zjiĹĄtÄno, Ĺže ÄOSFI plnÄ odpovĂdajĂ koncepci a zĂĄmÄrĹŻm IVS a jsou s nimi plnÄ kompatibilnĂ, jak v oblasti ĂşÄelu ocenÄnĂ, tak i pouĹžitĂ˝ch metod vĂ˝nosovĂŠho oceĹovĂĄnĂ, oceĹovĂĄnĂ trĹžnĂm porovnĂĄnĂm, majetkovĂ˝m oceĹovĂĄnĂm i oceĹovĂĄnĂm nehmotnĂŠho a finanÄnĂho majetku coĹž jen potvrzuje jejich adekvĂĄtnost a vyuĹžitelnost. Jedinou oblastĂ, na kterĂŠ je nutnĂŠ jeĹĄtÄ zapracovat, je posĂlenĂ teritoriĂĄlnĂch vlivĹŻ na ĂşzemĂ ÄeskĂŠ republiky a takĂŠ promĂtnutĂ vlivu inflace ve vybranĂ˝ch oblastech.
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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 | 0.005 | 0.012 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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".