2022
DOI: 10.1111/1911-3846.12777
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Do Firm‐Specific Stock Price Crashes Lead to a Stimulation or Distortion of Market Information Efficiency?*

Abstract: Unlike prior research that focuses on determinants of firm‐specific stock price crashes (SPCs), we study the consequences of SPCs on market information efficiency. The tension underlying our research question stems from two competing explanations. As an unanticipated shock, an SPC could stimulate (distort) information efficiency by triggering investor rational attention (opinion divergence). Our identification strategy involves a difference‐in‐differences analysis in which SPC firms in the treatment sample are… Show more

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Cited by 9 publications
(10 citation statements)
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“…In addition, we apply year-fixed effects and firm-fixed effects to our model to control for any unobservable time- and firm-specific variations (e.g. Kim et al ., 2022). Our robust standard errors are clustered by the firm (e.g.…”
Section: Methodsmentioning
confidence: 99%
“…In addition, we apply year-fixed effects and firm-fixed effects to our model to control for any unobservable time- and firm-specific variations (e.g. Kim et al ., 2022). Our robust standard errors are clustered by the firm (e.g.…”
Section: Methodsmentioning
confidence: 99%
“…Literature review and hypotheses development 2.1 Literature review 2.1.1 Stock price crash risk. Given the hugely damaged investor confidence and shareholder wealth caused by market crashes (Kim et al, 2022), a burgeoning body of empirical research investigates stock price collapse determinants. Prior studies on crash risk can be classified into three streams.…”
Section: Introductionmentioning
confidence: 99%
“…Stock crash risk is considered as one of the major concerns in capital markets (Kim et al , 2022). Stock price crashes, referred to as an unanticipated but sharp fall in stock prices (Zhang et al , 2022), often impose devastating outcomes on investors’ wealth and leading many firms to declare bankruptcy (Kim et al , 2022). Pursuant to Jin and Myers (2006), the risk of stock collapse is partially due to managerial self-interest to deliberately hide negative information from outsiders, thus, increasing information asymmetry.…”
Section: Introductionmentioning
confidence: 99%
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