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Periodicity of trading activity in foreign exchange markets

Author

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  • Tao Chen
  • Kam C. Chan
  • Haodong Chang

Abstract

Using the high‐frequency exchange rates of 25 global currency pairs, we document a striking clock‐time periodicity in which trading activity surges at the beginning of a minute. Additional analyses indicate that clock‐time spikes are accompanied by a lower level of liquidity. Moreover, we find that time‐clustering trades yield permanent price impacts, are devoted to efficient pricing, and make a significant contribution to price discovery. Finally, we investigate three informed scenarios to ascertain how trades at spikes acquire information beforehand and reflect them in markets. Taken together, our findings reinforce the view in the literature that subminute periodicity emanates from algorithmic trading.

Suggested Citation

  • Tao Chen & Kam C. Chan & Haodong Chang, 2022. "Periodicity of trading activity in foreign exchange markets," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 45(2), pages 445-465, June.
    • Handle: RePEc:bla:jfnres:v:45:y:2022:i:2:p:445-465
    DOI: 10.1111/jfir.12280
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    1. Hasbrouck, Joel, 1991. "Measuring the Information Content of Stock Trades," Journal of Finance, American Finance Association, vol. 46(1), pages 179-207, March.
    2. Barclay, Michael J. & Warner, Jerold B., 1993. "Stealth trading and volatility : Which trades move prices?," Journal of Financial Economics, Elsevier, vol. 34(3), pages 281-305, December.
    3. Broussard, John Paul & Nikiforov, Andrei, 2014. "Intraday periodicity in algorithmic trading," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 30(C), pages 196-204.
    4. David S. Lee & Thomas Lemieux, 2010. "Regression Discontinuity Designs in Economics," Journal of Economic Literature, American Economic Association, vol. 48(2), pages 281-355, June.
    5. Kwan, Amy & Masulis, Ronald & McInish, Thomas H., 2015. "Trading rules, competition for order flow and market fragmentation," Journal of Financial Economics, Elsevier, vol. 115(2), pages 330-348.
    6. Kleinbrod, Vincent M. & Li, Xiao-Ming, 2017. "Order flow and exchange rate comovement," Journal of International Money and Finance, Elsevier, vol. 77(C), pages 199-215.
    7. Terrence Hendershott & Charles M. Jones & Albert J. Menkveld, 2011. "Does Algorithmic Trading Improve Liquidity?," Journal of Finance, American Finance Association, vol. 66(1), pages 1-33, February.
    8. Hendershott, Terrence & Riordan, Ryan, 2013. "Algorithmic Trading and the Market for Liquidity," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 48(4), pages 1001-1024, August.
    9. Lyons, Richard K. & Moore, Michael J., 2009. "An information approach to international currencies," Journal of International Economics, Elsevier, vol. 79(2), pages 211-221, November.
    10. Khademalomoom, Siroos & Narayan, Paresh Kumar, 2019. "Intraday effects of the currency market," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 58(C), pages 65-77.
    11. Alain P. Chaboud & Benjamin Chiquoine & Erik Hjalmarsson & Clara Vega, 2014. "Rise of the Machines: Algorithmic Trading in the Foreign Exchange Market," Journal of Finance, American Finance Association, vol. 69(5), pages 2045-2084, October.
    12. Zhi Da & Joseph Engelberg & Pengjie Gao, 2011. "In Search of Attention," Journal of Finance, American Finance Association, vol. 66(5), pages 1461-1499, October.
    13. Jun Cai & Yan‐Leung Cheung & Michael C. S. Wong, 2001. "What moves the gold market?," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 21(3), pages 257-278, March.
    14. Dungey, Mardi & Matei, Marius & Treepongkaruna, Sirimon, 2020. "Examining stress in Asian currencies: A perspective offered by high frequency financial market data," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 67(C).
    15. Michael Goldstein & Shengwei Ding & John Hanna & Terrence Hendershott, 2014. "How Slow Is the NBBO? A Comparison with Direct Exchange Feeds," The Financial Review, Eastern Finance Association, vol. 49(2), pages 313-332, May.
    16. Brogaard, Jonathan & Carrion, Allen & Moyaert, Thibaut & Riordan, Ryan & Shkilko, Andriy & Sokolov, Konstantin, 2018. "High frequency trading and extreme price movements," Journal of Financial Economics, Elsevier, vol. 128(2), pages 253-265.
    17. Michael S. Drake & Darren T. Roulstone & Jacob R. Thornock, 2012. "Investor Information Demand: Evidence from Google Searches Around Earnings Announcements," Journal of Accounting Research, Wiley Blackwell, vol. 50(4), pages 1001-1040, September.
    18. Albert Menkveld & Boyan Jovanovic, 2016. "Dispersion and Skewness of Bid Prices," 2016 Meeting Papers 1395, Society for Economic Dynamics.
    19. Ekkehart Boehmer & Juan (Julie) Wu, 2013. "Short Selling and the Price Discovery Process," Review of Financial Studies, Society for Financial Studies, vol. 26(2), pages 287-322.
    20. Hu, Grace Xing & Pan, Jun & Wang, Jiang, 2017. "Early peek advantage? Efficient price discovery with tiered information disclosure," Journal of Financial Economics, Elsevier, vol. 126(2), pages 399-421.
    21. Boudt, Kris & Croux, Christophe & Laurent, Sébastien, 2011. "Robust estimation of intraweek periodicity in volatility and jump detection," Journal of Empirical Finance, Elsevier, vol. 18(2), pages 353-367, March.
    22. Wang, Jying-Nan & Liu, Hung-Chun & Hsu, Yuan-Teng, 2020. "Time-of-day periodicities of trading volume and volatility in Bitcoin exchange: Does the stock market matter?," Finance Research Letters, Elsevier, vol. 34(C).
    23. Anat R. Admati, Paul Pfleiderer, 1988. "A Theory of Intraday Patterns: Volume and Price Variability," Review of Financial Studies, Society for Financial Studies, vol. 1(1), pages 3-40.
    24. Hossein Jahanshahloo & Charlie X. Cai, 2019. "Monitoring the foreign exchange rate benchmark fix," The European Journal of Finance, Taylor & Francis Journals, vol. 25(7), pages 670-688, May.
    25. Chunchi Wu & Jinliang Li & Wei Zhang, 2005. "Intradaily periodicity and volatility spillovers between international stock index futures markets," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 25(6), pages 553-585, June.
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