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
We review and critically examine the standard approach to equity valuation using a constant risk-adjusted cost of capital, and we develop a new valuation approach discounting risk-adjusted fundamentals, such as expected free cash flows and residual operating income, using nominal zero-coupon interest rates. We show that standard estimates of the cost of capital, based on historical stock returns, are likely to be a significantly biased measure of the firm's cost of capital, but also that the bias is almost impossible to quantify empirically. The new approach recognizes that, in practice, interest rates, expected equity returns, and inflation rates are all stochastic. We explicitly characterize the risk-adjustments to the fundamentals in an equilibrium setting. We show how the term structure of risk-adjustments depends on both the time-series properties of the free cash flows and the accounting policy. Growth, persistence, and mean reversion of residual operating income created by competition in the product markets or by the accounting policy are key determinants of the term structure of risk-adjustments.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 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