Returns-Based Style Analysis of High-Yield Bonds
Bibliographic record
Abstract
We present returns-based style analysis of four high-yield (HY) bond indexes and 60 HY bond funds. It is widely accepted that HY bonds are hybrid assets, with returns sensitive to both high-grade bond returns and stock returns. Our findings show they should be viewed as part high-grade bonds, part stocks, and sometimes part cash. Consistent with theory, as the credit rating decreases from BB to B to CCC, the bond component of returns decreases from about 73% to 48%, while the stock component increases from about 22% to 52%. Furthermore, there is a strong small-cap tilt in HY bond index returns. Our results reveal substantial differences among HY bond funds. Differences across funds in style weights are consistent with differences in the funds9 holdings and investment styles. Returns of funds that invest more heavily in low-quality debt are more sensitive to stocks than funds that focus on BB or better bonds. There are notable differences in the strength of the small-cap tilts. Separately, some HY bond funds are more sensitive to growth stocks, while others show a value tilt. These findings should help investors better understand their true asset allocations and better manage their portfolios. <b>TOPICS:</b>Fixed-income portfolio management, style investing, portfolio theory
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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) | 0.000 | 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".