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Explaining Intraday Pattern of Trading Volume from the Order Flow Data

Author

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  • Yi‐Tsung Lee
  • Robert C.W. Fok
  • Yu‐Jane Liu

Abstract

Based on a comprehensive order flow data from the Taiwan stock market, this study examines directly how the intraday pattern of trading volume is related to the trading behavior of both informed and uninformed traders. The results indicate that both informed and uninformed investors have a strong desire to place orders at the market open and the close. Most of the orders at the market open are conservative and hence are waiting orders for price priority. The findings show that intraday trading volume as well as the real orders from both types of investors are J‐shaped. In addition, both information and liquidity trading can explain the intraday pattern of trading volume. However, the impact of liquidity trading on volume is slightly higher than that of information trading.

Suggested Citation

  • Yi‐Tsung Lee & Robert C.W. Fok & Yu‐Jane Liu, 2001. "Explaining Intraday Pattern of Trading Volume from the Order Flow Data," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 28(1‐2), pages 199-230, January.
    • Handle: RePEc:bla:jbfnac:v:28:y:2001:i:1-2:p:199-230
    DOI: 10.1111/1468-5957.00371
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    Cited by:

    1. A. Christian Silva & Ju-Yi Yen, 2010. "Stochastic resonance and the trade arrival rate of stocks," Quantitative Finance, Taylor & Francis Journals, vol. 10(5), pages 461-466.
    2. Andreas Park, 2008. "Bid-Ask Spreads and Volume:The Role of Trade Timing," Working Papers tecipa-309, University of Toronto, Department of Economics.
    3. Yi-Tsung Lee & Wei-Shao Wu & Yun Yang, 2013. "Informed Futures Trading and Price Discovery: Evidence from Taiwan Futures and Stock Markets," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, vol. 20(3), pages 219-242, September.
    4. Katya Malinova & Andreas Park, 2009. "Intraday Trading Patterns: The Role of Timing," Working Papers tecipa-365, University of Toronto, Department of Economics.
    5. Zi Ning & Yiuman Tse, 2009. "Order Imbalance in the FTSE Index Futures Market: Electronic versus Open Outcry Trading," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 36(1‐2), pages 230-252, January.
    6. Kluger, Brian D. & McBride, Mark E., 2011. "Intraday trading patterns in an intelligent autonomous agent-based stock market," Journal of Economic Behavior & Organization, Elsevier, vol. 79(3), pages 226-245, August.
    7. YongChern Su & HanChing Huang, 2008. "Dynamic causality between intraday return and order imbalance in NASDAQ speculative top gainers," Applied Financial Economics, Taylor & Francis Journals, vol. 18(18), pages 1489-1499.
    8. Abderrazak Dhaoui & Sami Bacha, 2017. "Investor emotional biases and trading volume’s asymmetric response: A non-linear ARDL approach tested in S&P500 stock market," Cogent Economics & Finance, Taylor & Francis Journals, vol. 5(1), pages 1274225-127, January.
    9. Dan Gabriel ANGHEL & Elena Valentina ŢILICĂ & Victor DRAGOTĂ, 2020. "Intraday Patterns in Returns on the Romanian and Bulgarian Stock Markets," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(2), pages 92-114, July.
    10. A. Christian Silva & Ju-Yi J. Yen, 2008. "Stochastic resonance and the trade arrival rate of stocks," Papers 0807.0925, arXiv.org.
    11. Zi Ning & Yiuman Tse, 2009. "Order Imbalance in the FTSE Index Futures Market: Electronic versus Open Outcry Trading," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 36(1-2), pages 230-252.
    12. Malinova, Katya & Park, Andreas, 2014. "The impact of competition and information on intraday trading," Journal of Banking & Finance, Elsevier, vol. 44(C), pages 55-71.

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