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Record W3199638413 · doi:10.1111/acfi.12854

Share‐loan pledging and relaxation of share‐repurchase restrictions in China

2021· article· en· W3199638413 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueAccounting and Finance · 2021
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicCorporate Finance and Governance
Canadian institutionsTrent UniversityConcordia University
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsShare repurchaseLoanBusinessMonetary economicsLeverage (statistics)ShareholderChinaShare priceRegression discontinuity designMarket shareFinancial systemFinanceEconomicsCorporate governanceStock exchange

Abstract

fetched live from OpenAlex

Abstract We examine a period in which the in‐principle prohibition of share repurchases was relaxed in 2018 to allow for the repurchase of shares whose prices dropped materially or were below book value. We find that share‐loan pledges by controlling shareholders are significantly and positively associated with share repurchases for a sample of 3,531 Chinese firms. This finding is robust using entropy and propensity score matched samples, 2SLS IV regressions, regression discontinuity design (RDD), and two exogenous shocks (the China–US trade war in 2018 and the COVID‐19 pandemic in 2020). The association remains robust but becomes less strong with state ownership and with above industry average firm agency problems, leverage ratios and financial constraints/distress (i.e., other share repurchase motives). Our findings highlight the importance of financial market regulations on share‐loan pledging and share repurchases in emerging markets during periods of heightened firm‐specific and systemic margin call risk and impending liquidation of share‐loan pledges.

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.

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 score0.025
Threshold uncertainty score0.565

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
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 head0.209
Teacher spread0.197 · 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