Impact of algorithmic trading on speed of adjustment to new information: Evidence from interest rate derivatives

Authors

Alex Frino, University of WollongongFollow
Michael Garcia, University of Wollongong
Zeyang Zhou, University of WollongongFollow

RIS ID

141700

Publication Details

Frino, A., Garcia, M. & Zhou, Z. (2020). Impact of algorithmic trading on speed of adjustment to new information: Evidence from interest rate derivatives. Journal of Futures Markets,

Abstract

© 2020 Wiley Periodicals, Inc. In February 2012, the Australian Securities Exchange introduced co-location services for futures traders, thus providing a natural experiment to test the impact of algorithmic trading (AT) on the speed of adjustment and price discovery during scheduled macroeconomic releases. Our results demonstrate that, in the presence of AT, the speed of adjustment to new information has improved for both exchange-traded futures and over-the-counter-traded swaps. In addition, we find that the price discovery contribution of the futures market improves in the post-AT period, with this improvement significant for macroeconomic announcement days.