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Record W4387578647 · doi:10.1177/0308518x231195890

Who owns and controls global capital? Uneven geographies of asset manager capitalism

2023· article· en· W4387578647 on OpenAlexafffund
Albina Gibadullina

Bibliographic record

VenueEnvironment and Planning A Economy and Space · 2023
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicHousing, Finance, and Neoliberalism
Canadian institutionsUniversity of British Columbia
FundersUniversity of British Columbia
KeywordsShareholderEquity (law)FinanceCapitalismBusinessPrivate equityAsset (computer security)Capital marketInvestment (military)Asset managementFinancial marketCapital (architecture)EconomicsFinancial systemMarket economyCorporate governancePolitics

Abstract

fetched live from OpenAlex

Since the 1980s, U.S. finance has grown disproportionately in power and influence as American investment funds have become the largest shareholders of U.S. corporations, managing tens of trillions of dollars in investments. This paper provides a novel empirical analysis of the ascent of asset manager capitalism in the United States and explores the extent of its global spread by examining the SEC Form 13F filings of U.S. institutional investors along with an extensive global corporate ownership dataset provided by Orbis. This paper finds that U.S. finance owns approximately 60% of U.S. listed companies (an increase from 3% in 1945) and 28% of the equity of all globally listed firms. As the largest global shareholders and the exemplars of U.S. asset managers, the Big Three hold investments in 81% of U.S. listed companies and own 17% of the U.S. equity market, while also appearing as a shareholder in 20% of non-U.S. listed companies and owning 4% of the non-U.S. equity market. This paper illustrates that the ascent of the age of passive investment and universal ownership, exemplified by the activities of the Big Three, has produced a sectorally and geographically uneven landscape of capital flows, exacerbating the existing divides between the heartlands and hinterlands of global financial markets. With the ownership of listed companies being increasingly concentrated in the hands of a small number of increasingly powerful funds, this paper ultimately argues that it is in the ownership of the majority of global capital that the power of modern finance lies.

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 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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.269
Threshold uncertainty score0.848

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)0.0000.000

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 head0.013
GPT teacher head0.193
Teacher spread0.180 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations18
Published2023
Admission routes2
Has abstractyes

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