Confidence Level of Income Valuation of Banks on the Basis of Regression Analysis
Bibliographic record
Abstract
CĂlem tohoto pĹĂspÄvku je analyzovat pĹesnost stanovenĂ predikce ĂşrokovĂ˝ch vĂ˝nosĹŻ a vĂ˝nosĹŻ z poplatkĹŻ a provizĂ banky vypoÄĂtanĂ˝ch pouze odhadem na bĂĄzi regresnĂ analĂ˝zy s vysvÄtlujĂcĂmi promÄnnĂ˝mi napĹ. HDP, sazby PRIBOR, zmÄny mÄnovĂ˝ch kurzĹŻ apod. pro prvnĂ a druhĂ˝ rok finanÄnĂho plĂĄnu oceĹovanĂŠ komerÄnĂ banky, pĹiÄemĹž tato pĹesnost bude stanovena jako procentuĂĄlnĂ odchylka od skuteÄnÄ dosaĹženĂŠ hodnoty vykĂĄzanĂŠ v ĂşÄetnĂch vĂ˝kazech oceĹovanĂŠ banky. OtĂĄzkou je, jakĂĄ pĹesnost odhadu je jeĹĄtÄ akceptovatelnĂĄ a jakĂĄ uĹž nikoliv. OceĹovacĂ praxe povÄtĹĄinou povaĹžuje za relativnÄ dobrĂ˝ odhad s odchylkou do 10 % od skuteÄnĂŠho stavu a za maximĂĄlnÄ akceptovanou odchylku do 20 %. Tu mĂĄ v prĹŻmÄru pouze odhad ÄistĂŠho ĂşrokovĂŠho vĂ˝nosu pro prvnĂ rok plĂĄnu. PĹesnost odhadu zĂĄvisĂ zejmĂŠna na pĹesnosti jednotlivĂ˝ch ocenÄnĂ, kde tĹi z nich splĹujĂ akceptovanou odchylku 20 %. PĹesnÄjĹĄĂ informace bude moĹžnĂŠ zĂskat dalĹĄĂmi vĂ˝zkumy, aĹž budu znĂĄma data pro dalĹĄĂ roky.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".