The Effect of Algorithmic Trading on Intraday Price Efficiency: Evidence from the Foreign Exchange Market

程式交易對於日內價格效率的影響：以外匯市場為例

10.6545/JFS.202006_28(2).0002

吳震星(Zhen-Xing Wu)；洪禎蔚(Zhen-Wei Hong)；高櫻芬(Yin-Feng Gau)

Algorithmic trading ； price efficiency ； pricing error ； foreign exchange markets ； vector autocorrelation (VAR) ； 程式交易 ； 價格效率 ； 價格偏誤 ； 外匯市場 ； 向量自我迴歸模型（VAR）

財務金融學刊

28卷2期（2020 / 06 / 30）

49 - 90

英文

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。

1. Aït-Sahalia, Yacine, and Mehmet Saglam, 2013, High frequency traders: Taking advantage of speed, Working paper.
2. Bank for International Settlements=BIS(2013).,Basel:Bank for International Settlements.
3. Baron, Matthew,Brogaard, Jonathan,Hagströmer, Björn,Kirilenko, Andrei A.(2019).Risk and return in high frequency trading.Journal of Financial and Quantitative Analysis,54,993-1024.
4. Beveridge, Stephen,Nelson, Charles R.(1981).A new approach to decomposition of economic time series into permanent and transitory components with particular attention to measurement of the “Business Cycle”.Journal of Monetary Economics,7,151-174.
5. Biais, Bruno,Foucault, Thierry(2014).HFT and market quality.Bankers, Markets, and Investors,128,5-19.
6. Biais, Bruno,Foucault, Thierry,Moinas, Sophie(2015).Equilibrium fast trading.Journal of Financial Economics,116,292-313.
7. Boehmer, Ekkehart, Kingsley Fong, and Juan Wu, 2015, International evidence on algorithmic trading, Working paper.
8. Boehmer, Ekkehart,Wu, Juan(2012).Short selling and the price discovery process.Review of Financial Studies,26,287-322.
9. Brogaard, Jonathan, 2010, High frequency trading and its impact on market quality, Working paper.
10. Brogaard, Jonathan,Garriot, Corey(2019).High-frequency trading competition.Journal of Financial and Quantitative Analysis,54,1469-1497.
11. Brogaard, Jonathan,Hendershott, Terrence,Riordan, Ryan(2019).Price discovery without trading: Evidence from limit orders.Journal of Finance,74,1621-1658.
12. Brogaard, Jonathan,Hendershott, Terrence,Riordan, Ryan(2014).High-frequency trading and price discovery.Review of Financial Studies,27,2267-2306.
13. Carrion, Allen(2013).Very fast money: High-frequency trading on the NASDAQ.Journal of Financial Markets,16,680-711.
14. Chaboud, Alain P.,Chiquoine, Benjamin,Hjalmarsson, Erik,Vega, Clara(2014).Rise of the machines: Algorithmic trading in the foreign exchange market.Journal of Finance,69,2045-2084.
15. Chang, Ya-Ting,Gau, Yin-Feng,Hsu, Chih-Chiang(2017).Liquidity commonality in foreign exchange markets during the global financial crisis and the sovereign debt crisis: Effects of macroeconomic and quantitative easing announcements.North American Journal of Economics and Finance,42,172-192.
16. Chen, Yu-Lun,Gau, Yin-Feng(2014).Asymmetric responses of ask and bid quotes to information in the foreign exchange market.Journal of Banking and Finance,38,194-204.
17. Easley, David,Kiefer, Nicholas M.,O’Hara, Maureen(1996).Cream-skimming or profit-sharing? The curious role of purchased order flow.Journal of Finance,51,811-833.
18. Easley, David,O’Hara, Maureen(1987).Price, trade size, and information in securities markets.Journal of Financial Economics,19,69-90.
19. Gau, Yin-Feng,Wu, Zhen-Xing(2017).Macroeconomic announcements and price discovery in the foreign exchange market.Journal of International Money Finance,79,232-254.
20. Hasbrouck, Joel(1993).Assessing the quality of a security market: A new approach to transaction-cost measurement.Review of Financial studies,6,191-212.
21. Hasbrouck, Joel,Saar, Gideon(2013).Low-latency trading.Journal of Financial Markets,16,646-679.
22. Hendershott, Terrence,Jones, Charles M.,Menkveld, Albert J.(2011).Does algorithmic trading improve liquidity?.Journal of Finance,66,1-33.
23. Hendershott, Terrence,Riordan, Ryan(2013).Algorithmic trading and the market for liquidity.Journal of Financial and Quantitative Analysis,48,1001-1024.
24. Ito, Takatoshi,Hashimoto, Yuko(2006).Intraday seasonality in activities of the foreign exchange markets: Evidence from the electronic broking system.Journal of the Japanese and International Economies,20,637-664.
25. Jarrow, Robert A.,Protter, Philip(2012).A dysfunctional role of high frequency trading in electronic markets.International Journal of Theoretical and Applied Finance,15,1-15.
26. King, Michael R.,Osler, Carol L.,Rime, Dagfinn(2013).The market microstructure approach to foreign exchange: Looking back and looking forward.Journal of International Money Finance,38,95-119.
27. Kirilenko, Andrei,Kyle, Albert S.,Samadi, Mehrdad,Tuzun, Tugkan(2017).The flash crash: High-frequency trading in an electronic market.Journal of Finance,72,967-998.
28. Kyle, Albert S.(1985).Continuous auctions and insider trading.Econometrica,53,1315-1336.
29. Moore, Michael, Andreas Schrimpf, and Vladyslav Sushko, 2016, Downsized FX markets: Causes and implications, Working paper.
30. Newey, Whitney K.,West, Kenneth D.(1987).A simple, positive semi-definite, heteroskedasticity and autocorrelation consistent covariance matrix.Econometrica,55,703-708.
31. Piccotti, Louis R.(2016).Pricing errors and the geography of trade in the foreign exchange market.Journal of Financial Markets,28,46-69.
32. Viljoen, Tiain,Westerholm, Joakim,Zheng, Hui(2014).Algorithmic trading, liquidity, and price discovery: An intraday analysis of the SPI 200 futures.Financial Review,49,245-270.
33. Wang, Jianxin,Yang, Minxian(2011).Housewives of Tokyo versus the gnomes of Zurich: Measuring price discovery in sequential markets.Journal of Financial Markets,14,82-108.

1. 陳宇翔(2023)。程式交易：散戶理性行動提升的形式與限制。人文及社會科學集刊，35(3)，481-524。