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Intraday periodicity in algorithmic trading

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  • Broussard, John Paul
  • Nikiforov, Andrei

Abstract

This paper documents a stark periodicity in intraday volume and in the number of trades. We find activity in both variables spikes by about 20% at regular intervals of 5 or 10min throughout the trading day. We speculate this activity is either the result of algorithmic trading influenced by human traders/programmers’ behavioral bias to transact on round time marks, or the result of optimizing algorithms choosing to concentrate their trades in time to take advantage of lower costs. We find evidence supporting the former, not the latter. Measures of transaction costs show no significant change during these spikes. Amihud's measure of price impact also shows no discernable pattern. Additional research is needed to more carefully explain this recurring phenomenon.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:intfin:v:30:y:2014:i:c:p:196-204
    DOI: 10.1016/j.intfin.2014.03.001
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    Cited by:

    1. Jonathan Batten & Brian Lucey & Frank McGroarty & Maurice Peat & Andrew Urquhart, 2017. "Stylized facts of intraday precious metals," PLOS ONE, Public Library of Science, vol. 12(4), pages 1-21, April.
    2. 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.
    3. Batten, Jonathan A. & Lucey, Brian M. & Peat, Maurice, 2016. "Gold and silver manipulation: What can be empirically verified?," Economic Modelling, Elsevier, vol. 56(C), pages 168-176.

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