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The Determinants and Consequences of Information Acquisition via <scp>EDGAR</scp>

2014· article· en· 375 citations· W3123604205 on OpenAlex· 10.1111/1911-3846.12119

Why is this work in the frame?

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

Canadian venueIt was published in a Canadian venue.
About CanadaIts subject is Canada, wherever its authors sit.

No Canadian affiliation. An affiliation-only frame — the usual design — would never have seen this work. It is one of the works that make the case for inverting the frame.

Machine scores (provisional)

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

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.

Opus teacher head0.023
GPT teacher head0.272
Teacher spread
0.249 · how far apart the two teachers sit on this one work
Validation status
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Abstract

Abstract Using a novel data set that tracks all web traffic on the SEC 's EDGAR servers from 2008 to 2011, we examine the determinants and capital market consequences of investor information acquisition of SEC filings. The average user employs the database very few times per quarter and most users target specific filing types such as periodic accounting reports; a small subset of users employ EDGAR almost daily and access many filings. EDGAR activity is positively related with corporate events (particularly restatements, earnings announcements, and acquisition announcements), poor stock performance, and the strength of a firm's information environment. EDGAR activity is related to, but distinct from, other proxies of investor interest such as trading volume, business press articles, and Google searches. Finally, information acquisition via EDGAR , both to obtain earnings news and to provide context for it, has a positive influence on market efficiency with respect to earnings news. Overall, our results are important because they provide a unique, user‐based perspective on investor access of mandatory disclosures and its impact on price formation.

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.

The record

Venue
Contemporary Accounting Research
Topic
Auditing, Earnings Management, Governance
Field
Business, Management and Accounting
Canadian institutions
Funders
Keywords
EarningsContext (archaeology)BusinessStock (firearms)Capital marketSet (abstract data type)Quarter (Canadian coin)AccountingPerspective (graphical)Monetary economicsEconomicsFinanceComputer scienceArtificial intelligenceEngineering
Has abstract in OpenAlex
yes