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Record W2964222385 · doi:10.1111/1911-3846.12550

When Is the Client King? Evidence from Affiliated‐Analyst Recommendations in China's Split‐Share Reform

2019· article· en· W2964222385 on OpenAlexvenueno aff
Kam C. Chan, Xuanyu Jiang, Donghui Wu, Nianhang Xu, Hong Zeng

Bibliographic record

VenueContemporary Accounting Research · 2019
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicCorporate Finance and Governance
Canadian institutionsnot available
Fundersnot available
KeywordsShareholderBusinessUnderwritingFinanceMarket shareChinaIntermediaryEvent studyAccountingEarnings per shareEconomic rentEarningsMonetary economicsEconomicsCorporate governanceMarket economy

Abstract

fetched live from OpenAlex

ABSTRACT China's split‐share reform of 2005 (the Reform) converts the previously restricted shares held by founding shareholders to shares tradable on the open market. Against this backdrop, we study how underwriter‐affiliated analysts and firms' large shareholders interact in the event of the latter's sales of restricted shares. We document that recommendations made by affiliated analysts are significantly more optimistic when firms' large shareholders plan to sell their restricted shares. This optimism, however, is associated with negative post‐sale stock returns, suggesting large shareholders profit from share sales. Furthermore, large shareholders sell more restricted shares through the affiliated brokerages for which analysts have issued more optimistic recommendations and firms under their control are more likely to appoint such brokerages as lead underwriters when they refinance in the future. The affiliated analysts also conduct more site visits to the firms after the share sales, thereby improving their earnings‐forecast accuracy. Our analysis shows how conflicts of interest by financial intermediaries arise following the Reform and lead to large shareholders' extraction of rents from public investors.

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)0.004
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.213
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0010.000
Scholarly communication0.0010.004
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.003

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 head0.091
GPT teacher head0.323
Teacher spread0.232 · 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; both teacher heads agree on what is shown here.

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

Citations48
Published2019
Admission routes1
Has abstractyes

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