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Record W4392420323 · doi:10.1017/9781788215350.008

Regulations and Responsibilities

2022· other· en· W4392420323 on OpenAlex

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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

Venuenot available
Typeother
Languageen
FieldEconomics, Econometrics and Finance
TopicGlobal Financial Regulation and Crises
Canadian institutionsnot available
Fundersnot available
KeywordsBusiness

Abstract

fetched live from OpenAlex

The aim of this chapter is to give an overview of the main fund structures used by UK and European asset managers, as well as the evolution of product regulations that have supported the growth of mutual funds across Europe. It is not intended as a detailed primer on fund regulation. There is an ongoing tension between asset managers’ desire for less regulation (and its associated costs) and regulators’ instinct to regulate (to safeguard investors’ interests). Despite this, the European asset management industry can thank supportive fund regulation as part of the reason for its impressive growth over the past 30 years. Fund structures The first fund in the UK was set up in 1868, the Foreign & Colonial Government Trust, which is now the £5.6 billion F&C Investment Trust. Originally established with a trust structure, the fund is now a closed-ended investment company, also known as an investment trust. The UK had to wait until 1931 for its first open-ended fund, the Municipal & General First British Fixed Trust, which had a fixed term of 20 years and so was then replaced by the M&G General Trust, which in turn has had several reincarnations, latterly as the M&G Blue Chip fund, which merged into the M&G UK Growth fund in 2006. In turn, this fund was renamed M&G UK Select in 2015 and had assets of £500 million in May 2022. M&G had originally been inspired by the first US open-ended fund, the Massachusetts Investors’ Trust that launched in 1924. This US-based fund has fared better than M&G's UK product and now manages assets of $7.1 billion (£5.3 billion). While tracking an index is an investment strategy, rather than a distinct fund structure, it is worth noting that after some false starts by other firms, the first index fund open to retail investors was launched by John Bogle in 1975, the First Index Investment Trust. Today it is the Vanguard 500 Index Fund, with assets of $770 billion in May 2022. Developing index-based products further, the first exchange traded fund was established in Canada in 1990, Toronto 35 Index Participation units. Today this is the iShares S&P/TSX 60 Index ETF, which had assets totalling CA$12.6 billion (£8.1 billion) in May 2022. The first US product was launched in 1993 by State Street Global Advisors, the S&P 500 Trust ETF, which manages $346 billion (in June 2022).

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.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.504
Threshold uncertainty score0.883

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.1170.000

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.

Opus teacher head0.026
GPT teacher head0.217
Teacher spread0.191 · 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

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Citations0
Published2022
Admission routes1
Has abstractyes

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