2018
DOI: 10.1016/j.jcorpfin.2018.05.005
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Does crackdown on corruption reduce stock price crash risk? Evidence from China

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Cited by 144 publications
(50 citation statements)
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“…Wong, 2001; Harris and Bromiley, 2007). Following Yuan et al (2016) and Chen et al (2018), we divide our sample into large-cap (small-cap) firms if the size of firm i in year t is above (below) the median of all sample firms in the same industry and same year. Similarly, we construct high (low)-profitability firms if a firm's ROA is higher (lower) than the median of all sample firms in the same industry and same year.…”
Section: Conditional Analysis On Different Firm Characteristics and Ementioning
confidence: 99%
See 1 more Smart Citation
“…Wong, 2001; Harris and Bromiley, 2007). Following Yuan et al (2016) and Chen et al (2018), we divide our sample into large-cap (small-cap) firms if the size of firm i in year t is above (below) the median of all sample firms in the same industry and same year. Similarly, we construct high (low)-profitability firms if a firm's ROA is higher (lower) than the median of all sample firms in the same industry and same year.…”
Section: Conditional Analysis On Different Firm Characteristics and Ementioning
confidence: 99%
“…Following Yuan et al (2016) and Chen et al (2018), we use institutional ownership, auditor affiliation and analyst coverage to proxy a firm's external monitoring efficiency. We divide the sample into the following sub-samples: (1) high/low institutional ownership (IO) firms, according to whether the institutional ownership in the firm is above/below the median of all sample firms in the same industry and same year; (2) Big 4/non-Big 4 firms, according to whether the firm hires a Big 4 auditor) 20 ; (3) high/low analyst coverage (AC) firms, according to whether the analyst following of the firm is above/below the median of all sample firms in the same industry and same year.…”
Section: Conditional Analysis On Different Firm Characteristics and Ementioning
confidence: 99%
“…Local officials play a pivotal role in the complex network of relations between local governments and polluting companies, by protecting local polluting companies. The politically sensitive period following the investigation and punishment of corruption officials can act as a deterrent effect to local governments and firms, breaking their network of relations (Chen et al, 2018). As previously mentioned, the literature has two opposing views on the economic consequences of corruption (Aidt, 2009).…”
Section: Research On Corruption and The Environmentmentioning
confidence: 99%
“…Prior studies have investigated various factors associated with crash risk. For example, accounting conservatism (Kim & Zhang, ), stock liquidity (Chang, Chen, & Zolotoy, ), China's split‐share structure reform (Sun et al., ), China's closed pyramidal managerial labour market (Chen, Kim, Li, & Liang, ), and crackdowns on corruption (Chen, Xie, You, & Zhang, ) are all negatively associated with crash risk, while younger CEOs (Andreou et al., ), overconfident CEOs (Kim et al., ), and CFO option‐based compensation (Kim et al., ) result in greater crash risk. Our findings uncover a new factor (i.e., BDFEs) that appears to affect stock price crash risk.…”
Section: Introductionmentioning
confidence: 99%