Analysis of binary trading patterns in Xetra
This paper proposes the Shannon entropy as an appropriate one-dimensional measure of behavioural trading patterns in financial markets. The concept is applied to the illustrative example of algorithmic vs. non-algorithmic trading and empirical data from Deutsche Börse's electronic cash equity trading system, Xetra. The results reveal pronounced differences between algorithmic and non-algorithmic traders. In particular, trading patterns of algorithmic traders exhibit a medium degree of regularity while non-algorithmic trading tends towards either very regular or very irregular trading patterns.
|Date of creation:||2010|
|Date of revision:|
|Contact details of provider:|| Postal: House of Finance, Grüneburgplatz 1, HPF H5, D-60323 Frankfurt am Main|
Phone: +49 (0)69 798-30050
Fax: +49 (0)69 798-30077
Web page: http://www.ifk-cfs.de/
More information through EDIRC
When requesting a correction, please mention this item's handle: RePEc:zbw:cfswop:201012. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (ZBW - German National Library of Economics)
If references are entirely missing, you can add them using this form.