EconPapers    
Economics at your fingertips  
 

A dynamic intraday measure of the probability of informed trading and firm-specific return variation

Sanders Chang (), Lenisa V. Chang and F. Albert Wang

Journal of Empirical Finance, 2014, vol. 29, issue C, 80-94

Abstract: A central question in financial economics is how private information is incorporated into asset prices. A common method of measuring private information is the PIN measure, which uses statistical estimation of a sequential trade model of the trading process to estimate the probability of informed trading. A notable limiting feature of PIN is that one must aggregate very fine intraday data over very long macro horizons in order to estimate it. In this paper, our aim is to develop and implement a dynamic intraday measure of the probability of informed trading that circumvents this aggregation issue and allows for the measurement of information based trading activity at much higher frequencies. We then apply our dynamic intraday measure of the probability of informed trading to examine the relationship between private information and firm-specific return variation.

Keywords: Informed trading; Private information; Price discovery; High-frequency; Firm-specific return variation; Price non-synchronicity (search for similar items in EconPapers)
JEL-codes: G10 G14 G19 (search for similar items in EconPapers)
Date: 2014
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (10)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S092753981400019X
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:empfin:v:29:y:2014:i:c:p:80-94

DOI: 10.1016/j.jempfin.2014.02.003

Access Statistics for this article

Journal of Empirical Finance is currently edited by R. T. Baillie, F. C. Palm, Th. J. Vermaelen and C. C. P. Wolff

More articles in Journal of Empirical Finance from Elsevier
Bibliographic data for series maintained by Catherine Liu ().

 
Page updated 2024-05-11
Handle: RePEc:eee:empfin:v:29:y:2014:i:c:p:80-94