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An Analysis of Transactions Data for the Stock Exchange of Singapore: Patterns, Absolute Price Change, Trade Size and Number of Transactions

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  • David K. Ding
  • Sie Ting Lau

Abstract

The availability of the transactions data of the Stock Exchange of Singapore allows us to examine intraday patterns and the relation among absolute price change, trade size and number of transactions. The presence of a trading halt in the mid‐day results in two crude U‐shaped return patterns but, contrary to Brock and Kleidon's (1992) model, it does not cause volume to be unusually high right before or after the halt. We find a positive relationship between absolute price changes and the number of transactions for both the active and inactive stocks. This supports the findings of Jones, Kaul and Lipson (1994) that these relationships also hold at the intraday level and in a market with different market architecture.

Suggested Citation

  • David K. Ding & Sie Ting Lau, 2001. "An Analysis of Transactions Data for the Stock Exchange of Singapore: Patterns, Absolute Price Change, Trade Size and Number of Transactions," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 28(1‐2), pages 151-174, January.
    • Handle: RePEc:bla:jbfnac:v:28:y:2001:i:1-2:p:151-174
    DOI: 10.1111/1468-5957.00369
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    Citations

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    Cited by:

    1. Katya Malinova & Andreas Park, 2009. "Intraday Trading Patterns: The Role of Timing," Working Papers tecipa-365, University of Toronto, Department of Economics.
    2. Chris Brooks & Melvin J. Hinich, 2001. "A New Tool for Detecting Intraday Periodicities with Application to High Frequency Exchange Rates," ICMA Centre Discussion Papers in Finance icma-dp2001-04, Henley Business School, University of Reading.
    3. Chris Brooks & Melvin. J. Hinich & Douglas M. Patterson, 2003. "Intra-day Patterns in the Returns, Bidask Spereads, and Trading Volume of Stocks Traded on the New York Stock Exchange," ICMA Centre Discussion Papers in Finance icma-dp2003-14, Henley Business School, University of Reading.
    4. Carole Comerton-Forde & Michael A. O'Brien & P. Joakim Westerholm, 2007. "An Empirical Analysis of Strategic Behaviour Models," Australian Journal of Management, Australian School of Business, vol. 32(2), pages 181-203, December.
    5. Charlie X. Cai & Robert Hudson & Kevin Keasey, 2004. "Intra Day Bid‐Ask Spreads, Trading Volume and Volatility: Recent Empirical Evidence from the London Stock Exchange," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 31(5‐6), pages 647-676, June.
    6. Charlie X. Cai & Robert Hudson & Kevin Keasey, 2004. "Intra Day Bid‐Ask Spreads, Trading Volume and Volatility: Recent Empirical Evidence from the London Stock Exchange," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 31(5‐6), pages 647-676, June.
    7. Andreas Park, 2008. "Bid-Ask Spreads and Volume:The Role of Trade Timing," Working Papers tecipa-309, University of Toronto, Department of Economics.
    8. Qixuan Luo & Shijia Song & Handong Li, 2023. "Research on the Effects of Liquidation Strategies in the Multi-asset Artificial Market," Computational Economics, Springer;Society for Computational Economics, vol. 62(4), pages 1721-1750, December.
    9. Christiane Goodfellow & Martin T. Bohl, 2011. "Forestalling Floor Closure: Evidence from a Natural Experiment on the German Stock Market," Post-Print hal-00676103, HAL.
    10. Bohl, Martin T. & Goodfellow, Christiane & Bialkowski, Jedrzej, 2010. "Individual investors surpass their reputation: Trading behaviour on the Polish futures market," Economic Systems, Elsevier, vol. 34(4), pages 480-492, December.
    11. 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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