The Financial Accounting Standards Board’s Fair Value Mandate: Are Level 3 Assets and Liabilities Being Measured Accurately?
Bibliographic record
Abstract
This study asks the following question with respect to level 3 fair value assets and liabilities: are level 3 fair value assets and liabilities being measured accurately? An argument is made that since level 3 markets do not exist (as defined in ASC 820), it is not possible to determine a level 3 value. Data is examined, both pre- and post- SFAS No. 157 with respect to a specific level 3 asset that can be found on the balance sheet of most publically traded financial institutions, mortgage loan servicing rights. The data suggests that the FASB’s attempt to clarify fair value had no effect on the levels of capitalization of mortgage loan servicing rights. An additional argument is made that the language in ASC 820 undermines the requirement that level 3 fair values reflect a “market” value rather than an “investment” value.
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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 | 0.020 | 0.021 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.006 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".