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Impact of algorithmic trading on speed of adjustment to new information: Evidence from interest rate derivatives
Authors:Alex Frino  Michael Garcia  Zeyang Zhou
Affiliation:School of Accounting, Economics and Finance, Faculty of Business, University of Wollongong, Keiraville, New South Wales, Australia
Abstract: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.
Keywords:algorithmic trading  interest rate derivatives  macroeconomic announcements  price discovery
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