2013
DOI: 10.2139/ssrn.2257093
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Short-Sale Constraints, Information Acquisition, and Asset Prices

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Cited by 7 publications
(2 citation statements)
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“…At the empirical level we can argue that our model given by Relation (14) supports the evidence in Kang and Stulz (1997), and Dahlquist and Robertsson (2001) and more recently Nezafat et al (2015) and Dumas et al (2017) where the home bias equity is explained by asymmetric information and market restriction. Table 1 Simulation of the expected rate of return for different levels of information and short sale costs The empirical test provided by Kang and Stulz (1997) shows that the investor portfolio is biased against small firm and that the investors overinvesting in large firms in Japan due to the availability of information about these large firms.…”
Section: Simulation Resultssupporting
confidence: 75%
“…At the empirical level we can argue that our model given by Relation (14) supports the evidence in Kang and Stulz (1997), and Dahlquist and Robertsson (2001) and more recently Nezafat et al (2015) and Dumas et al (2017) where the home bias equity is explained by asymmetric information and market restriction. Table 1 Simulation of the expected rate of return for different levels of information and short sale costs The empirical test provided by Kang and Stulz (1997) shows that the investor portfolio is biased against small firm and that the investors overinvesting in large firms in Japan due to the availability of information about these large firms.…”
Section: Simulation Resultssupporting
confidence: 75%
“…Thus, the impact of Lendable is not restricted to the equity market. A few recent studies suggest that the amount of lendable shares could be a binding short sale constraint (Beneish, Lee, and Nichols, 2013), which may give (footnote continued) rise to the important externality of discouraging information acquisition (Nezafat and Wang, 2014). 3 The first variable follows the literature (e.g., Scott and Xu, 2004;Jenter, 2005), while we construct the second variable as the maximum selling span in a given month to capture our unique prediction regarding the speed of trading.…”
mentioning
confidence: 99%