Abstract
AbstractI study the presence of order anticipation strategies by examining predictable patterns in large order trades. I construct three simple signals based on child‐order execution patterns and find empirical evidence that stronger signals are correlated with higher execution costs. I use the SEC's (Securities and Exchange Commission's) ban on unfiltered access and increase in noise trading as shocks to order anticipatory activities of algorithmic traders and find that the price impact of predictability is smaller when order anticipation becomes difficult. The empirical findings are mostly consistent with the back‐running theory that predicts delayed price impact as strategic traders learn about large orders gradually.
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 callDisclaimer: 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.
