2020
DOI: 10.1177/0149206320912307
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Disciplining Role of Short Sellers: Evidence From M&A Activity

Abstract: Prior research has focused on the influence of long investors (e.g., institutional investors) on merger-and-acquisition (M&A) decisions. This study investigates the role of short sellers in shaping managerial acquisitiveness and M&A decision quality. Short sellers impose a downward pressure on stock prices by disseminating negative information to the market. Given that managerial wealth and job security hinge on stock prices, top managers respond to increased short selling by refraining from excessive … Show more

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Cited by 21 publications
(12 citation statements)
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“…Independent variable. We measure our independent variable, short interest, consistent with previous studies (Connelly et al, 2021;Shi et al, 2018Shi et al, , 2021b. We first calculate the monthly ratio of shorted shares to the total number of shares outstanding for a given firm in a month.…”
Section: Methodsmentioning
confidence: 99%
“…Independent variable. We measure our independent variable, short interest, consistent with previous studies (Connelly et al, 2021;Shi et al, 2018Shi et al, , 2021b. We first calculate the monthly ratio of shorted shares to the total number of shares outstanding for a given firm in a month.…”
Section: Methodsmentioning
confidence: 99%
“…Because strategic action intensity is a count variable, we use firm fixed-effects Poisson regressions when testing the effects of hedge fund (corporate shareholder) activism on this dependent variable. We select firm fixed-effects Poisson regressions over fixed-effects negative binomial regressions because the latter cannot control for time-variant firm heterogeneity (Allison, 2009; Shi, Ndofor, & Hoskisson, 2021). As strategic action complexity is a continuous variable, we use firm fixed-effects ordinary least squares (OLS) regressions to test hypotheses related to this dependent variable.…”
Section: Methodsmentioning
confidence: 99%
“…Low-paid workers disproportionately bear the pain of new technology as this cohort lacks the basic knowledge to operate unconventional machinery and are not often chosen for the training to operate such advanced machinery (Park-Poaps et al, 2020). Workers in developing countries have normally less skilled compared to advanced countries and hence they are potentially at high risk of automation (Chitturu et al, 2017;Gunarathne et al, 2018;Shi et al, 2021). Despite some positive economic impacts, automation has a huge displacing effect in developing countries with almost no evidence (Cal ı and Presidente, 2021).…”
mentioning
confidence: 99%