Institutional Investment in Listed Private Equity
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
Abstract This paper examines institutional investors’ propensity to invest in a relatively unknown asset class of listed private equity. Based on data provided by LPEQ, Preqin and Scorpio Partnership covering 171 institutional investors in Europe in 2008–2010, we find allocations are primarily a function of size, type, location, decision‐making authority and liquidity preferences. Investment in listed private equity is more commonly made by institutions that are smaller, private (not public) pension institutions, institutions that have a preference for liquidity, quick access, and administrative and cash flow management simplicity, and institutions that are based in the UK, Switzerland, Sweden and the Netherlands. As well, institutions are less likely to invest in listed private equity when investment decision‐making is empowered to an alternative asset class team .
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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 | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.002 |
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