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Record W2975788564 · doi:10.1111/jacf.12361

Is Managerial Myopia a Persistent Governance Problem?

2019· article· en· W2975788564 on OpenAlexaff
David J. Denis

Bibliographic record

VenueJournal of applied corporate finance · 2019
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicCorporate Finance and Governance
Canadian institutionsInstitute on Governance
Fundersnot available
KeywordsCorporate governanceShareholder valueShareholderContext (archaeology)EconomicsMarket for corporate controlInvestment (military)Empirical evidenceEarningsBusinessControl (management)AccountingMarket economyFinanceMonetary economicsLawManagementPolitics

Abstract

fetched live from OpenAlex

Critics of U.S. corporations have long argued that companies are overly focused on short‐term results and, as a consequence, sacrifice their own long‐run value and competitiveness. These criticisms have expanded in recent years to include those from prominent politicians, investors, consultants, and academics. If such criticisms have merit, they would imply a massive governance failure in which there has been decades of underinvestment with little adjustment on the part of managers, boards, or the market for corporate control. This article evaluates the economic underpinnings of these criticisms and analyzes their implications in the context of empirical evidence produced by several decades of research on corporate investment policies, the outcomes of corporate control events, investor horizons, and the market pricing of companies with little if any earnings. In reviewing the findings of these studies, the author finds little evidence to support the view that U.S. companies sacrifice long‐run value and competitiveness by systematically underinvesting. First, although U.S. companies have indeed cut back on tangible investments such as property, plant, and equipment, these cutbacks have been more than offset by the dramatic growth in investment in intangibles, such as spending on developing knowledge capital, brand‐building, and IT infrastructure. Second, when subjected to events that have the effect of reducing managerial control over investment policies and transferring control to outside investors—such as leveraged buyouts and recapitalizations, forced CEO dismissals, and shareholder activist campaigns—companies tend to reduce, not increase, investment spending. In fact, it is difficult to find any corporate control threats that have had the goal or effect of increasing investment. Third, and at the same time, the rising concentration of large institutional investors, including indexers such as BlackRock and Vanguard, suggests that investors have become, if anything, more long‐term oriented over time. Fourth, there is no evidence that the market shuns companies that have yet to report large (or indeed any) earnings. These findings suggest that curbing overinvestment, and not discouraging myopia and underinvestment, may well still be the larger corporate governance challenge facing investors when monitoring and attempting to influence the performance of U.S. companies.

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)0.009
metaresearch head score (Gemma)0.026
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.009
Threshold uncertainty score0.046

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0090.026
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0040.013
Scholarly communication0.0080.006
Open science0.0010.004
Research integrity0.0040.005
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 head0.016
GPT teacher head0.185
Teacher spread0.168 · 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 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

Citations15
Published2019
Admission routes1
Has abstractyes

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