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Record W2615370111

Eclipse of the Public Corporation Revisited: Concentrated Equity Ownership Theory

2017· article· en· W2615370111 on OpenAlexaboutno aff
Claudio R. Rojas

Bibliographic record

VenueSSRN Electronic Journal · 2017
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicState Capitalism and Financial Governance
Canadian institutionsnot available
Fundersnot available
KeywordsCorporationCorporate governanceEquity (law)Corporate lawStock (firearms)EconomicsFinancial economicsPolitical scienceFinanceHistoryLaw
DOInot available

Abstract

fetched live from OpenAlex

For almost a decade, the author has outperformed many of the world's greatest investors. This working paper reveals the economic basis for this outperformance, which extends beyond idiosyncratic stock selection abilities. Concentrated equity ownership theory, an economic discovery made in 2007, explains the rise of founder centric firms over the subsequent decade. This paper introduces a dynamic unifying governance model, while uncovering theoretical links between otherwise disconnected economic phenomena. In illustrating theoretical continuity in the seemingly disparate investment styles of Jorge Paulo Lemann with 3G Capital, William A. Ackman with Pershing Square Capital Management, and Warren Buffett with Berkshire Hathaway, the author identifies hidden economic efficiencies powering the world's largest companies from Apple to Facebook, Google and Amazon. The novel economic theory presented in this paper also outlines legal and extra-legal mechanisms driving macroeconomic phenomena, specifically those at play in Canada and Silicon Valley - distinct geographic regions uniquely situated for robust economic performance over the next century. This working paper is forthcoming and builds upon the theoretical foundations established in An Indeterminate Theory of Canadian Corporate (peer-reviewed manuscript, published in the University of British Columbia Law Review, 2014).

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation 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: Empirical
Teacher disagreement score0.051
Threshold uncertainty score0.567

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0010.002
Open science0.0010.000
Research integrity0.0000.001
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 head0.028
GPT teacher head0.249
Teacher spread0.221 · 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 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

Citations3
Published2017
Admission routes1
Has abstractyes

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