Implications of Algorithmic and High-Frequency Trading and From Perception to Cognition: Towards Knowledge Driven Image Understanding
Michael Wellman and Jia Deng
Computer Science & Engineering, University of Michigan
Tuesday, October 28, 2014|
4:00pm - 5:30pm
Add to Google Calendar
|This week there will be two presentations at our seminar.|
About the Event
Separating the beneficial from potentially harmful effects of high-frequency trading requires distinguishing among roles and strategies of algorithmic traders. In previous work, we focused on latency arbitrage in fragmented markets, and found a negative influence of this high-frequency trading activity on market efficiency. In current work, we are studying algorithmic strategies for market making (MM). The MM simultaneously maintains offers to buy and sell in a two-sided market, providing liquidity in an effort to profit from price spreads. Liquidity is generally considered to improve market performance, but does the benefit accrue to background investors?
Michael Wellman is a member of the University of Michigan AI Laboratory.
Open to: Public