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Algorithmic Finance
This project has received funding from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (grant agreement No 725706). The research project runs until 31 October 2021.
Objectives Present-day financial markets are undergoing automation, as orders to buy or sell securities are increasingly being placed by fully automated computer algorithms without any direct human intervention. The AlgoFinanceproject aims to understand how and with what consequences thisturn to algorithmic trading is changing financial markets. Among other things, we examine how trading firms are reorganizing in light of automation, how skills and foci are changing, as well as how the entire industry and its central actors are responding to it. In addition, we have developed a complex semi-realistic agent-based model through which we study how trading algorithms interact with one another in markets. We deploy network theory to further examine this. By contributing novel empirical, methodological, and theoretical understandings of the functioning and consequences of algorithms, AlgoFinance will open up new opportunities for future research into digital sociology and the algorithmization of society more broadly. For any inquiries related to the AlgoFinance research project, please contact Professor Christian Borch at cbo.mpp@cbs.dk.

Last updated by: Administrator User 09/06/2021