The lecture by Rosario Mantegna from Palermo University will take place at the Complexity Science Hub Vienna.
If you are interested in participating, please email to email@example.com
We briefly introduce the basic aspects of infrastructure of a fully electronic stock market and we study the heterogeneity of financial actors trading in it. The empirically investigated stock market is the Nasdaq European market. By using concepts and filtering methods developed in the study of complex networks we detect specialization of heterogeneous traders acting at different hierarchical levels.
Specifically, we investigate trading transactions and trading decisions performed by market members and by investors (defined as individual legal entities). By investigating the two hierarchical levels, we are able to detect (i) networks of trading interactions of market members and (ii) patterns of trading decisions of groups of investors that are statistically robust and that are stable over long period of times. Some regularities of trading networks of market members are lasting longer than several months. We also detect trading decisions of investors that are characterized by time scales of years with a slow adaptive dynamics covering up to an entire decade.