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Intraday Patterns in the Cross-section of Stock Returns

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  • STEVEN L. HESTON
  • ROBERT A. KORAJCZYK
  • RONNIE SADKA

Abstract

Motivated by the literature on investment flows and optimal trading, we examine intraday predictability in the cross-section of stock returns. We find a striking pattern of return continuation at half-hour intervals that are exact multiples of a trading day, and this effect lasts for at least 40 trading days. Volume, order imbalance, volatility, and bid-ask spreads exhibit similar patterns, but do not explain the return patterns. We also show that short-term return reversal is driven by temporary liquidity imbalances lasting less than an hour and bid-ask bounce. Timing trades can reduce execution costs by the equivalent of the effective spread. Copyright (c) 2010 the American Finance Association.

Suggested Citation

  • Steven L. Heston & Robert A. Korajczyk & Ronnie Sadka, 2010. "Intraday Patterns in the Cross-section of Stock Returns," Journal of Finance, American Finance Association, vol. 65(4), pages 1369-1407, August.
  • Handle: RePEc:bla:jfinan:v:65:y:2010:i:4:p:1369-1407
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    1. repec:eee:jbfina:v:84:y:2017:i:c:p:25-40 is not listed on IDEAS
    2. Giovanni Cespa & Xavier Vives, 2016. "High Frequency Trading and Fragility," CESifo Working Paper Series 6279, CESifo Group Munich.
    3. Vasios, Michalis & Payne, Richard & Nolte, Ingmar, 2015. "Profiting from Mimicking Strategies in Non-Anonymous Markets," MPRA Paper 61710, University Library of Munich, Germany.
    4. Pagano, Michael S. & Peng, Lin & Schwartz, Robert A., 2013. "A call auction's impact on price formation and order routing: Evidence from the NASDAQ stock market," Journal of Financial Markets, Elsevier, vol. 16(2), pages 331-361.
    5. George Tannous & Juan Wang & Craig Wilson, 2013. "The Intraday Pattern of Information Asymmetry, Spread, and Depth: Evidence from the NYSE," International Review of Finance, International Review of Finance Ltd., vol. 13(2), pages 215-240, June.
    6. Lerner, Peter, 2010. "Theoretical analysis of the bid-ask bounce and Related Phenomena," MPRA Paper 35929, University Library of Munich, Germany.
    7. Bernile, Gennaro & Hu, Jianfeng & Tang, Yuehua, 2016. "Can information be locked up? Informed trading ahead of macro-news announcements," Journal of Financial Economics, Elsevier, vol. 121(3), pages 496-520.
    8. 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.
    9. Sun, Licheng & Najand, Mohammad & Shen, Jiancheng, 2016. "Stock return predictability and investor sentiment: A high-frequency perspective," Journal of Banking & Finance, Elsevier, vol. 73(C), pages 147-164.

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