Abstract
The purpose of this paper is to suggest simple procedures designed to cope with the effects of thin trading on event study tests. The procedures are directed at two central problems: (i) missing individual stock returns (i.e., days on which no trading is observed in a security), and (ii) the effect of a bid-ask spread on the time series behavior of daily stock return data. We attack these problems by explicitly incorporating them in the construction of a generating process for observed security returns. First, we develop a procedure for “filling in” missing returns. Then, we model a return-generating process of observed security returns that allows estimation of the variance of unobserved true security returns for use in hypothesis testing.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: The Journal of Financial and Quantitative Analysis
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
