Informational asymmetries in US private equity: regulation in a changing regulatory environment
Why this work is in the frame
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Bibliographic record
Abstract
Purpose This paper aims to analyze the structural features and regulatory challenges of US private equity, with a focus on informational asymmetries between general and limited partners. It examines how short-term, high-leverage strategies and limited transparency have shaped both industry practices and regulatory responses. Particular attention is given to recent efforts by the US Securities and Exchange Commission (SEC) to increase disclosure and accountability. Design/methodology/approach This paper integrates empirical findings, industry reports, case studies and legal rulings to examine informational asymmetries in private equity. It introduces a two-level framework distinguishing asymmetries at the fundraising and operational stages. It also evaluates recent SEC rulemaking, enforcement strategies and court challenges. Findings The short-term, profit-driven strategies of private equity concentrate market power and frequently disadvantage limited partners, employees and customers. Informational asymmetries allow general partners to exploit opaque governance structures, limiting oversight. While the SEC has sought to enhance transparency through disclosure rules, private equity firms have successfully challenged these regulations in court. Despite setbacks, the SEC continues to enforce accountability through whistleblower programs and existing laws. Originality/value This paper highlights the systemic risks associated with private equity and the regulatory challenges in addressing them. It advocates for balanced reforms that maintain private equity’s role in economic growth while ensuring transparency, stakeholder protection and financial stability.
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 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