Oxford-Man Institute: Algorithmic Collusion in Electronic Markets

Can algorithms collude? Patrick Chang, DPhil Student at the Oxford-Man Institute of Quantitative Finance, shares his research findings.

 

Algorithmic Collusion in Electronic Markets: The Impact of Tick Size

Álvaro Cartea, Patrick Chang, José Penalva

This papers shows that machine learning algorithms can tacitly collude during market making to extract rents and that the tick size matters: a large tick size obstructs competition, while a smaller tick size lowers trading costs for liquidity takers, but slows the speed of convergence to an equilibrium.

 

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