This paper studies the impact of algorithmic trading (AT) on informational efficiency in the foreign exchange market on an intraday basis. Following Hasbrouck (1993), we measure hourly and ten-minute pricing efficiency by using prices and order flows, and show that, in FX markets, AT exhibits a reverse intraday pattern with trading size. The results suggest that greater AT activity is related to lower market efficiency, implying that algorithmic traders strategically enter the market when informational efficiency is lower. However, AT is associated with an increase in market efficiency in subsequent intraday periods in EUR/USD and USD/JPY markets.
本文研究外匯市場中,程式交易對於市場日內資訊效率的影響。根據Hasbrouck(1993)的模型,我們利用實際交易價格和訂單流量衡量每小時和每10分鐘的價格效率,並發現程式交易活動與價格效率有顯著的反向關係,反映程式交易者會策略性地在價格效率較差的時候進入市場。然而,在市場中的程式交易活動變熱絡後,下一期的價格效率會提高。