2018
DOI: 10.1016/j.jcorpfin.2018.10.006
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Corporate innovation strategy and stock price crash risk

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Cited by 127 publications
(93 citation statements)
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“…Table 2 provides the correlation matrix results for the main variables used in subsequent analyses. The two crash risk variables NCSKEW and DUVOL have a high correlation of 0.88, which is comparable to the values reported in previous studies (Chen et al, 2001;Callen and Fang, 2015;Kosmidou, 2017 andJia, 2018). NCSKEW is also strongly positively correlated with the CRASH_JUMP variable.…”
Section: [Insert Table One About Here]supporting
confidence: 87%
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“…Table 2 provides the correlation matrix results for the main variables used in subsequent analyses. The two crash risk variables NCSKEW and DUVOL have a high correlation of 0.88, which is comparable to the values reported in previous studies (Chen et al, 2001;Callen and Fang, 2015;Kosmidou, 2017 andJia, 2018). NCSKEW is also strongly positively correlated with the CRASH_JUMP variable.…”
Section: [Insert Table One About Here]supporting
confidence: 87%
“…Habib et al, (2017) provide a literature review of crash price research. More recent research links crash risk with innovation strategy (Jia, 2018), with national culture (An et al, 2018) and product market competition (Li and Zhan, 2018).…”
Section: Crash Risk Literature Reviewmentioning
confidence: 99%
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“…Francis, Hasan, and Li () find a positive association between firms’ deviations in real operations from industry norms and their future crash risk, and the positive association is found to be particularly stronger after the 2002 Sarbanes–Oxley Act (SOX). Local corruption (Cao, Qin, & Zhu, ), exploration‐oriented firms (Jia, ), and foreign investors (Vo, Forthcoming) are found to also positively affect stock price crash risk. Kim et al () show that overconfident CEOs are positively related to stock price crashes even in the absence of moral hazards: these types of CEOs are more likely to keep negative net present value projects for an extended period of time by failing to revise their expectation downward even with negative feedback.…”
Section: Literature Review and Hypothesis Developmentmentioning
confidence: 99%
“…One is using R&D input as a dependent variable to study the relationship between personal internal factors of senior management (such as age, education, gender) [5], external environmental factors of senior management (such as duration, ownership structure of enterprises, R&D funding source), Founder CEOs [2], corporate government [6], Entrepreneurial orientation [7] and R&D input. The other path is using R&D input as an independent variable and focusing on the relationship between R&D input and company performance [8,9], the relationship between R&D input and stock price crash risk [10], the relationship between R&D input and productivity growth [11], and the relationship between R&D input and energy consumption [12].…”
Section: Introductionmentioning
confidence: 99%