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Record W1980502962 · doi:10.1108/15285810310812933

Hedge funds: The regulatory landscape at a crossroads

2003· article· en· W1980502962 on OpenAlexaff
Jedd Wider, Kevin Scanlan

Bibliographic record

VenueJournal of Investment Compliance · 2003
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicState Capitalism and Financial Governance
Canadian institutionsBarrick Gold (Canada)
Fundersnot available
KeywordsAlternative betaHedge fundFund of fundsOpen-end fundCommodity poolInstitutional investorBusinessHedge accountingGlobal assets under managementFinanceFutures contractCommissionAlternative investmentFinancial systemCorporate governanceMarket liquidity

Abstract

fetched live from OpenAlex

Hedge funds increasingly are becoming a focus of investors and U.S. regulatory agencies including the U.S. Securities and Exchange Commission (the “SEC”), the U.S. Treasury Department, the National Association of Securities Dealers, and the Commodity Futures Trading Commission as enhanced regulatory attention is forcing the hedge fund industry for the first time since the near‐collapse of Long‐Term Capital Management, L.P. in late 1998 to examine itself more closely. In light of the dismal performance of U.S. stock market indices over the past several years, investors are turning to “absolute” return vehicles, such as hedge funds, that are able to generate current positive returns in a market that has returned consistently laggard results. Investors’ ability to invest in hedge funds has been further enhanced by the increase of hedge funds‐of‐funds registered under the U.S. Investment Company Act of 1940, as amended (the “1940 Act”). Simultaneously, over the past 18 months, the SEC has become increasingly concerned with a multitude of industry occurrences including (i) the widening access of investors to hedge funds, (ii) the unregulated nature of hedge funds, potentially leading to fraud or conflicts of interest with their investors, and (iii) the impact of hedge funds on the markets, especially in relation to their use of short selling. As U.S. regulatory attention remains focused on the hedge fund industry and industry practice and the themes of potential new regulations become apparent, it has become a cautionary period for hedge fund sponsors and investment managers.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.019
metaresearch head score (Gemma)0.028
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.023
Threshold uncertainty score0.103

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0190.028
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.003
Science and technology studies0.0040.012
Scholarly communication0.0230.018
Open science0.0020.004
Research integrity0.0140.015
Insufficient payload (model declined to judge)0.0060.001

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.

Opus teacher head0.036
GPT teacher head0.235
Teacher spread0.199 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
Domainnot available
GenreEmpirical

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".

Quick stats

Citations1
Published2003
Admission routes1
Has abstractyes

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