Correlated Cashflow Shocks, Asset Prices, and the Term Structure of Equity
Bibliographic record
Abstract
The term structure of equity risk premium is moderately downward-sloping unconditionally, markedly downward-sloping in good times, and markedly upward-sloping in bad times. An asset-pricing model featuring time-varying correlation between realized and expected cashflow shocks explains these puzzling empirical findings. Indeed, the model-implied slope of the equity term structure is in line with the data, both conditionally and unconditionally, because the estimated cashflow shock correlation is volatile, counter-cyclical, and negative on average. The model also generates realistic asset-pricing moments and a positive relation between the equity risk premium, slope of the equity term structure, and the dividend yield. This paper was accepted by David Sraer, finance. Funding: The authors thank the University of Texas at Dallas and the University of Toronto for financial support. Supplemental Material: The data files are available at https://doi.org/10.1287/mnsc.2022.4565 .
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| 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".