MétaCan
← all works

Accounting Conservatism and Stock Price Crash Risk: Firm‐level Evidence

2014· article· en· 1,035 citations· W3124142968 on OpenAlex· 10.1111/1911-3846.12112

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 funderA Canadian agency funded it. The work may carry no Canadian affiliation at all.
Canadian venueIt was published in a Canadian venue.

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.

Abstract

Abstract Using a large sample of U.S. firms during 1964–2007, we find that conditional conservatism is associated with a lower likelihood of a firm's future stock price crashes. This finding holds for multiple measures of conditional conservatism and crash risk and is robust to controlling for other known determinants of crash risk and firm‐fixed effects. Moreover, we find that the relation between conservatism and crash risk is more pronounced for firms with higher information asymmetry. Overall, our results are consistent with the notion that conditional conservatism limits managers’ incentive and ability to overstate performance and hide bad news from investors, which, in turn, reduces stock price crash risk.

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
Social Sciences and Humanities Research Council of CanadaCity University of Hong Kong
Keywords
ConservatismIncentiveCrashStock priceStock (firearms)Information asymmetryEconometricsSample (material)EconomicsFinancial economicsActuarial scienceBusinessFinanceMicroeconomicsEngineeringPolitical scienceComputer science
Has abstract in OpenAlex
yes