Returns-Based Style Analysis of Convertible Bond Funds
Bibliographic record
Abstract
This study presents returns-based style analysis on a convertible bond index and 16 convertible bond funds for 1998–2007 and two subperiods. It allows investors to better calculate their asset allocation. For the full period and both subperiods, the average convertible bond fund9s returns closely track the returns from a portfolio of 60% stocks, 30% high-grade bonds, and 10% cash, where the stock exposure contains a strong tilt toward small-cap stocks. Not surprisingly, results vary across convertible bond funds, but all of these funds have implied stock exposures from about 50% to 80% for all periods. Despite their name, from an asset-allocation perspective most convertible bond funds should be viewed as mostly stocks, especially small-cap growth stocks. <b>TOPICS:</b>Fixed-income portfolio management, style investing, options
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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) | 0.001 | 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".