Seminarium: Systemy Rozproszone
21 marca 2013, godzina 12:15, sala 4070
Michal Galas
UK PhD Centre in Financial Computing
University College London
http://www.financialcomputing.org/


Distributed Computational Finance Infrastructure for Algorithmic and Proprietary Trading



This seminar discusses the design of distributed computer infrastructure and big data environments in finance and economics. In particular, algorithmic and high-frequency trading is growing rapidly accounting for 70% of US equity volumes in 2011 (according to Reuters and Bloomberg), but is also of major concern due to potential catastrophic .Flash Crashes.. Consequently, understanding the key elements of algorithmic trading, trading infrastructure and experimental facilities may be beneficial in designing better algorithms and distributed support systems.

In Science and Engineering, experimental facilities (ex. Wind Tunnels, Flight Simulators) are commonplace; both physical and digital/computational. In addition, the life sciences and physical sciences have access to major data repositories and computational facilities for data mining and simulation modelling. However, in the social science (e.g. finance, economics), the use of computational techniques, so called big data and large-scale experimental facilities, in order to carry out research and inform policy, has only emerged recently . These computational environments are expected to have a major impact on social science research.

*Key words:* algorithmic trading, distributed financial infrastructure, experimental simulation systems

Michal Galas