2023
DOI: 10.1016/j.irfa.2023.102509
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Foreign institutional investment horizon and earnings management: Evidence from around the world

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Cited by 8 publications
(17 citation statements)
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“…Because of data limitations, we do not consider other characteristics of FIIs associated with their monitoring effectiveness, such as their investment horizon, ownership threshold, economic motivation and institution type. In recent literature, it is revealed that, unlike short-term FIIs, investors characterized by longer investment horizons possess the capability to access and analyze monitoring information (Döring et al , 2021; Mian et al , 2023). Further research could therefore investigate whether the impact of FIIs on the value of excess cash holdings varies depending on investor characteristics and their interactions with investee firms.…”
Section: Discussionmentioning
confidence: 99%
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“…Because of data limitations, we do not consider other characteristics of FIIs associated with their monitoring effectiveness, such as their investment horizon, ownership threshold, economic motivation and institution type. In recent literature, it is revealed that, unlike short-term FIIs, investors characterized by longer investment horizons possess the capability to access and analyze monitoring information (Döring et al , 2021; Mian et al , 2023). Further research could therefore investigate whether the impact of FIIs on the value of excess cash holdings varies depending on investor characteristics and their interactions with investee firms.…”
Section: Discussionmentioning
confidence: 99%
“…Although the monitoring role of FIIs has been extensively investigated and recognized in the recent literature, there is a prominent view that not all institutional investors are homogenous concerning their abilities and incentives to monitor their portfolio constituents effectively (Döring et al, 2021;Ferreira and Matos, 2008;Mian et al, 2023). On this ground, one stream of literature groups FIIs based on the legal regime of their home countries.…”
Section: Foreign Institutional Monitoring and The Value Of Excess Cas...mentioning
confidence: 99%
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“…Next, by following Mian et al (2023) to address the sample selection bias, we split our overall sample into two halves, based on their proportion in the full dataset. Notably, over 74 % of firm-year observations (122,749) originate from China, India, Japan, Korea, Taiwan and USA.…”
Section: Additional Analysismentioning
confidence: 99%