Digging into High Frequency Data: Present and Future Risks and Opportunities

• Applicant: Professorin Loriana Pelizzon, Ph.D.
• Subject Area: Statistics and Econometrics
• Term: from 2017 to 2021
• Project identifier: Deutsche Forschungsgemeinschaft (DFG) - Project number 329107530

Global equity markets have changed fundamentally due to the vast improvements in the speed of trading and the fragmentation of markets. The emergence of high-frequency trading (HFT) has had a dramatic impact on the functioning and stability of financial markets. To properly investigate the impact of HFT, it is crucial to have appropriate data. The project aims to clean up and combine European and US HFT data. We plan to structure, verify, and homogenize the data in order to make them exploitable for research and policy. A second goal is to analyze, compute and build models based on high frequency data to improve our understanding how electronic markets work. The data is vital for evaluating the impact of financial regulations and understanding market fluctuations and their interactions with the financial system. A third goal is to create a network of European and US researchers in finance and computer science to use advanced computational tools to analyze and interpret the data.

• DFG Programme: Research Grants
• International Connection: Finland, France, United Kingdom, USA
• Cooperation Partners: Professor Patrice Fontaine, Ph.D.; Professorin Mila Getmansky Sherman, Ph.D.; Professor Terrence Hendershott; Professor Peter Sarlin, Ph.D.; Professor Jean-Pierre Zigrand