2016
DOI: 10.1016/j.jempfin.2016.07.007
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Local bias in investor attention: Evidence from China's Internet stock message boards

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Cited by 111 publications
(22 citation statements)
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“…on-course horse racing), we then introduced a large real-life online football gambling dataset. Previous work has suggested that sports fans have irrational preference toward their home teams and would bet predominately on their home teams, a phenomenon called the local bias or the home bias (French & Poterba, 1991;Huang et al, 2016). A broad set of driving forces have been suggested to give rise to this irrational bias.…”
Section: Home Bias In Sports Gamblingmentioning
confidence: 99%
“…on-course horse racing), we then introduced a large real-life online football gambling dataset. Previous work has suggested that sports fans have irrational preference toward their home teams and would bet predominately on their home teams, a phenomenon called the local bias or the home bias (French & Poterba, 1991;Huang et al, 2016). A broad set of driving forces have been suggested to give rise to this irrational bias.…”
Section: Home Bias In Sports Gamblingmentioning
confidence: 99%
“…Eastmoney website provides the largest and the most influential financial portal; its effective browsing time accounts for 55.6 per cent of the total effective browsing time in financial portals in China [1]. At present, Eastmoney's internet stock message board is commonly used by researchers who focus on investor communication (Jiang et al, 2016), information diffusion (Ackert et al, 2016;Li et al, 2018;Hao et al, 2019), investor sentiment (Lai et al, 2014) and even investor attention (Huang et al, 2016;Zhang and Tao, 2018), which verifies that big data is a useful information (Coyne et al, 2018) . The CDT is a database of Eastmoney that covers high frequency data of stocks, securities, funds and commodities.…”
Section: Sample and Descriptive Analysis 31 Sample Selectionmentioning
confidence: 99%
“…Home bias refers to the phenomenon that investors have a strong preference for local assets and services (Coval & Moskowitz, 1999, 2001). A burgeoning literature has demonstrated that home bias affects choices on which equity to hold (Huberman, 2001; Lütje & Menkhoff, 2007), what message to post (Huang, Qiu, & Wu, 2016), which analyst to trust (Jia, Wang, & Xiong, 2017), which firm to acquire (Jiang, Qian, & Yonker, 2019), and the risk sharing between foreign and domestic investors (Lau, Ng, & Zhang, 2010). In this paper, we put forward that home bias also exists when investors pick what stories to read.…”
Section: Introductionmentioning
confidence: 99%