2015
DOI: 10.1016/j.jcorpfin.2015.01.015
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Firm crash risk, information environment, and speed of leverage adjustment

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Cited by 92 publications
(73 citation statements)
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References 52 publications
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“…The influence of asymmetric information on capital structure adjustments is also consistent to the diminishing speed of adjustment in the disclosure environment as observed by An, Li, and Yu (2015) and the weak corporate governance structure (Grahan, Leary, & Roberts, 2014;Lepetit, Saghi-Zedek, & Tarazi, 2015).…”
Section: Resultssupporting
confidence: 73%
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“…The influence of asymmetric information on capital structure adjustments is also consistent to the diminishing speed of adjustment in the disclosure environment as observed by An, Li, and Yu (2015) and the weak corporate governance structure (Grahan, Leary, & Roberts, 2014;Lepetit, Saghi-Zedek, & Tarazi, 2015).…”
Section: Resultssupporting
confidence: 73%
“…Lockhart (2014) found that a credit line is associated with cross-sectional variation in estimated speeds of adjustments of the target leverage because credit lines offer lower adjustment costs to under-levered firms. An, Li, and Yu (2015) state that the exposure to a crash-risk diminishes the issue of capital structure speed of adjustment.…”
Section: Capital Structure Adjustmentsmentioning
confidence: 99%
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“…The empirical evidence illustrates that exogenous factors such as macro-economic shocks which influence firms' riskiness as well as variance in cash flows tend to have an impact on speed of adjustment (Cook and Tang, 2010). The risk factor is moderated by information of the capital market with firms operating in markets where there are greater levels of information asymmetry tending to face greater transaction costs (An et al, 2015).…”
Section: Adjustment To Target Capital Structure and Firm Valuementioning
confidence: 94%
“…We further truncate our sample by eliminating countries with less than 25 companies and firm years with stock data fewer than 26 weeks. Last, we drop observations with the absolute value of weekly returns greater than 0.5 (i.e., 50%) to avoid possible errors caused by nonadjusted stock splits in Datastream (An et al ) . Our final sample consists of 21,986 firms from 36 countries over the period from 1997 to 2008.…”
Section: Datamentioning
confidence: 99%