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Short†Term Return Predictability And Repetitive Institutional Net Order Activity

Author

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  • Dermot P. Murphy
  • Ramabhadran S. Thirumalai

Abstract

Half†hour returns predict same†half†hour returns on subsequent days. We hypothesize that this is due to institutional traders who execute their parent orders over multiple days (“repetitive institutional traders†). Using a unique data set that provides masked trader identification and trader type, we find that the half†hour net order submission activity of repetitive institutional traders is predictive of same†half†hour returns on subsequent days, and that this relation subsumes the return predictability at shorter intervals. Repetitive institutional traders incur lower transaction costs than their nonrepetitive counterparts, suggesting that other traders compete to provide liquidity to the anticipated order flow originating from the repetitive traders.

Suggested Citation

  • Dermot P. Murphy & Ramabhadran S. Thirumalai, 2017. "Short†Term Return Predictability And Repetitive Institutional Net Order Activity," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 40(4), pages 455-477, December.
  • Handle: RePEc:bla:jfnres:v:40:y:2017:i:4:p:455-477
    DOI: 10.1111/jfir.12131
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    Cited by:

    1. Rui Fan & Oleksandr Talavera & Vu Tran, 2023. "Social media and price discovery: The case of cross‐listed firms," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 46(1), pages 151-167, February.
    2. Jagannathan, Ravi & Pelizzon, Loriana & Schaumburg, Ernst & Sherman, Mila Getmansky & Yuferova, Darya, 2022. "Recovery from fast crashes: Role of mutual funds," Journal of Financial Markets, Elsevier, vol. 59(PB).
    3. Ziyi Xu & Xue Cheng, 2023. "The Effects of High-frequency Anticipatory Trading: Small Informed Trader vs. Round-Tripper," Papers 2304.13985, arXiv.org, revised Feb 2024.
    4. Li, Zeming & Sakkas, Athanasios & Urquhart, Andrew, 2022. "Intraday time series momentum: Global evidence and links to market characteristics," Journal of Financial Markets, Elsevier, vol. 57(C).
    5. Chen, Zhiyu & Xu, Yun & Wang, Yu, 2023. "Can convertible bond trading predict stock returns? Evidence from China," Pacific-Basin Finance Journal, Elsevier, vol. 79(C).
    6. S. Amir Tabibian & Zhaoyong Zhang & Abdollah Ah Mand, 2021. "Stock Split Rule Changes and Stock Liquidity: Evidence from Bursa Malaysia," JRFM, MDPI, vol. 14(9), pages 1-15, August.
    7. Wen, Zhuzhu & Gong, Xu & Ma, Diandian & Xu, Yahua, 2021. "Intraday momentum and return predictability: Evidence from the crude oil market," Economic Modelling, Elsevier, vol. 95(C), pages 374-384.
    8. Huang, Hong-Gia & Tsai, Wei-Che & Weng, Pei-Shih & Yang, J. Jimmy, 2023. "Intraday momentum in the VIX futures market," Journal of Banking & Finance, Elsevier, vol. 148(C).
    9. Ho, Tu & Lv, Jin Roc & Schultz, Emma, 2021. "Market intraday momentum in Australia," Pacific-Basin Finance Journal, Elsevier, vol. 65(C).
    10. Keloharju, Matti & Linnainmaa, Juhani T. & Nyberg, Peter, 2021. "Are return seasonalities due to risk or mispricing?," Journal of Financial Economics, Elsevier, vol. 139(1), pages 138-161.

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