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Tick Size and Informed Trading: Evidence from the Taiwanese Stock Market

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  • Chang-Wen Duan
  • Ken Hung
  • Shinhua Liu

Abstract

We adopt the Sandås model for order-book equilibrium to examine informed trading on the Taiwanese stock market, a purely order-driven call-auction market. We find that adverse-selection cost is low for well-known stocks with high liquidity and low volatility, but cost is high for monitoring the order books of those stocks. Our empirical results show that the impact of adverse selection is greatest at the beginning of each trading day and that informed traders engage in stealth trading, supporting the stealth trading hypothesis. Finally, with the special tick size rules on the market, both adverse-selection cost and monitoring cost decline as tick size decreases.

Suggested Citation

  • Chang-Wen Duan & Ken Hung & Shinhua Liu, 2022. "Tick Size and Informed Trading: Evidence from the Taiwanese Stock Market," International Business Research, Canadian Center of Science and Education, vol. 15(1), pages 1-1, January.
  • Handle: RePEc:ibn:ibrjnl:v:15:y:2022:i:1:p:1
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    References listed on IDEAS

    as
    1. Griffiths, Mark D. & Smith, Brian F. & Turnbull, D. Alasdair S. & White, Robert W., 2000. "The costs and determinants of order aggressiveness," Journal of Financial Economics, Elsevier, vol. 56(1), pages 65-88, April.
    2. Madhavan, Ananth, 1996. "Security Prices and Market Transparency," Journal of Financial Intermediation, Elsevier, vol. 5(3), pages 255-283, July.
    3. Xin Zhao & Kee H. Chung, 2006. "Decimal Pricing and Information‐Based Trading: Tick Size and Informational Efficiency of Asset Price," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 33(5‐6), pages 753-766, June.
    4. Bessembinder, Hendrik & Chan, Kalok & Seguin, Paul J., 1996. "An empirical examination of information, differences of opinion, and trading activity," Journal of Financial Economics, Elsevier, vol. 40(1), pages 105-134, January.
    5. Glosten, Lawrence R. & Milgrom, Paul R., 1985. "Bid, ask and transaction prices in a specialist market with heterogeneously informed traders," Journal of Financial Economics, Elsevier, vol. 14(1), pages 71-100, March.
    6. Xin Zhao & Kee H. Chung, 2006. "Decimal Pricing and Information-Based Trading: Tick Size and Informational Efficiency of Asset Price," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 33(5-6), pages 753-766.
    7. Ke, Mei-Chu & Jiang, Ching-Hai & Huang, Yen-Sheng, 2004. "The impact of tick size on intraday stock price behavior: evidence from the Taiwan Stock Exchange," Pacific-Basin Finance Journal, Elsevier, vol. 12(1), pages 19-39, January.
    8. repec:bla:jfinan:v:59:y:2004:i:2:p:711-753 is not listed on IDEAS
    9. Bonnie F. Van Ness & Robert A. Van Ness & Richard S. Warr, 2005. "The Impact Of Market Maker Concentration On Adverse‐Selection Costs For Nasdaq Stocks," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 28(3), pages 461-485, September.
    Full references (including those not matched with items on IDEAS)

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    JEL classification:

    • R00 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General - - - General
    • Z0 - Other Special Topics - - General

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