Estimating PIN for firms with high levels of trading

David Jackson

Journal of Empirical Finance, 2013, vol. 24, issue C, 116-120

Abstract: For models of the probability of informed trading (PIN), estimation can fail for firms with high levels of trading due to computer over/under-flow. Since active firms tend to have large market capitalizations, studies that use PIN have excluded as much as 40% of total market capitalization from their sample. Similarly, since trading tends to be more intense around important events, studies that use PIN may lose observations exactly during periods that are the focus of study. A simple procedure, using scaled trade counts, allows PIN to be estimated for actively-traded firms, avoiding the possible biases or false generalizations that may occur when data from large firms or important events is ignored.

Keywords: Asymmetric information; PIN; Event studies; Maximum likelihood (search for similar items in EconPapers)
JEL-codes: C13 C60 G14 (search for similar items in EconPapers)
Date: 2013
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (6)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:empfin:v:24:y:2013:i:c:p:116-120

DOI: 10.1016/j.jempfin.2013.10.001

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