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IPO Regulators Gone Wild

2018· reference-entry· en· W2957555933 on OpenAlexaff
Kevin K. Boeh, Craig G. Dunbar

Bibliographic record

Venuenot available
Typereference-entry
Languageen
FieldBusiness, Management and Accounting
TopicCorporate Finance and Governance
Canadian institutionsWestern University
Fundersnot available
KeywordsInitial public offeringBusinessEquity (law)AttractivenessCapital marketIncentiveEquity capitalFinanceMonetary economicsEconomicsAccountingMarket economy

Abstract

fetched live from OpenAlex

A complex set of regulations is intended to guide and control the capital markets and the equity initial public offering (IPO) process, with the goal of creating efficient markets for equity capital and investor protection. Often in response to market innovations, regulators impose new, and reinterpret existing, regulations. This chapter documents key US securities regulations over the past two decades that have affected the IPO process. While motivated by good intentions, many of these regulations have led to burdens on issuing firms and have had deleterious effects on US capital markets. The authors posit that these effects are driven by the burdens placed on firms, the incentives of firms to pursue alternatives to an IPO, the disincentives for banks to conduct IPOs, and the attractiveness of more profitable (and less regulated) alternative activities available to banks. This suggests questions for IPO researchers concerning the effects of such regulations.

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)0.004
metaresearch head score (Gemma)0.018
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.040
Threshold uncertainty score0.134

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.018
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.002
Science and technology studies0.0040.005
Scholarly communication0.0150.013
Open science0.0010.003
Research integrity0.0060.009
Insufficient payload (model declined to judge)0.0400.012

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 head0.022
GPT teacher head0.214
Teacher spread0.192 · 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 designNot applicable
Domainnot available
GenreOther

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
Published2018
Admission routes1
Has abstractyes

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