Main content

Contributors:

Date created: | Last Updated:

: DOI | ARK

Creating DOI. Please wait...

Create DOI

Category: Project

Description: Replication Materials for the paper —Speed traps: Algorithmic trader performance under alternative market balances and structures—by Yan Peng, Jason Shachat, Lijia Wei, S. Sarah Zhang * Yan Peng: Paula and Gregory Chow Institute for Studies in Economics, Xiamen University, China 361005; email: pengyan199503@gmail.com, and Wuhan University, ORCID: 0000-0001-8826-5027. * Jason Shachat: Durham University Business School, Mill House Lane, Durham DH1 3LB, UK; email: jason.shachat@durham.ac.uk, Chapman University, and Wuhan University, ORCID: 0000-0002-9719-4555. * Lijia Wei: School of Economics and Management, Wuhan University, China 430072; email: ljwei.whu@gmail.com, ORCID: 0000-0002-5032-0788. * S. Sarah Zhang: Corresponding author. Alliance Manchester Business School, University of Manchester, Booth Street West, Manchester M15 6PB, UK; email: sarah.zhang@manchester.ac.uk, ORCID: 0000-0002-1612-453X. Financial support from the Economic and Social Research Council (Grant No.ES/P011829/1) and the National Natural Science Foundation of China (Grant No. 72173093) is gratefully acknowledged. Those who wish to replicate the experimental findings may contact the co-author and director of the Center for Behavioral and Experimental Research (CBER) at Wuhan University, Lijia Wei, who will coordinate access to the custom software used for the experiment. The authors are listed in alphabetical order.

Files

Loading files...

Citation

Recent Activity

Loading logs...

OSF does not support the use of Internet Explorer. For optimal performance, please switch to another browser.
Accept
This website relies on cookies to help provide a better user experience. By clicking Accept or continuing to use the site, you agree. For more information, see our Privacy Policy and information on cookie use.
Accept
×

Start managing your projects on the OSF today.

Free and easy to use, the Open Science Framework supports the entire research lifecycle: planning, execution, reporting, archiving, and discovery.