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Liquidity And Quote Clustering In A Market With Multiple Tick Sizes

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  • Kee H. Chung
  • Kenneth A. Kim
  • Pattanaporn Kitsabunnarat

Abstract

We analyze market liquidity (i.e., spreads and depths) and quote clustering using data from the Kuala Lumpur Stock Exchange (KLSE), where the tick size increases with share price in a stepwise fashion. We find that stocks that are subject to larger mandatory tick sizes have wider spreads and less quote clustering. We also find that liquidity providers on the KLSE do not always quote larger depths for stocks with larger tick sizes. Overall, our results suggest that larger tick sizes for higher priced stocks are detrimental to market liquidity, although the adverse effect of larger tick sizes is mitigated by lower negotiation costs (i.e., less quote clustering).

Suggested Citation

  • Kee H. Chung & Kenneth A. Kim & Pattanaporn Kitsabunnarat, 2005. "Liquidity And Quote Clustering In A Market With Multiple Tick Sizes," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 28(2), pages 177-195, June.
    • Handle: RePEc:bla:jfnres:v:28:y:2005:i:2:p:177-195
    DOI: 10.1111/j.1475-6803.2005.00120.x
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    Cited by:

    1. Isao Yagi & Yuji Masuda & Takanobu Mizuta, 2020. "Analysis of the Impact of High-Frequency Trading on Artificial Market Liquidity," Papers 2010.13038, arXiv.org.
    2. Mike Derksen & Bas Kleijn & Robin de Vilder, 2020. "Effects of MiFID II on stock price formation," Papers 2003.10353, arXiv.org, revised Aug 2020.
    3. Kee Chung & Jangkoo Kang & Joon-Seok Kim, 2011. "Tick size, market structure, and market quality," Review of Quantitative Finance and Accounting, Springer, vol. 36(1), pages 57-81, January.
    4. Thanos Verousis & Pietro Perotti & Georgios Sermpinis, 2018. "One size fits all? High frequency trading, tick size changes and the implications for exchanges: market quality and market structure considerations," Review of Quantitative Finance and Accounting, Springer, vol. 50(2), pages 353-392, February.
    5. Narayan, Paresh Kumar & Smyth, Russell, 2013. "Has political instability contributed to price clustering on Fiji's stock market?," Journal of Asian Economics, Elsevier, vol. 28(C), pages 125-130.
    6. Sunil S. Poshakwale & Jude W. Taunson & Anandadeep Mandal & Michael Theobald, 2019. "Lower tick sizes and futures pricing efficiency: evidence from the emerging Malaysian market," Review of Quantitative Finance and Accounting, Springer, vol. 53(4), pages 1135-1163, November.
    7. Murphy Jun Jie Lee, 2013. "The Microstructure of Trading Processes on the Singapore Exchange," PhD Thesis, Finance Discipline Group, UTS Business School, University of Technology, Sydney, number 2-2013.
    8. Vladim'ir Hol'y & Petra Tomanov'a, 2021. "Modeling Price Clustering in High-Frequency Prices," Papers 2102.12112, arXiv.org, revised Mar 2021.
    9. Ascioglu, Asli & Comerton-Forde, Carole & McInish, Thomas H., 2010. "An examination of minimum tick sizes on the Tokyo Stock Exchange," Japan and the World Economy, Elsevier, vol. 22(1), pages 40-48, January.
    10. Pantisa Pavabutr & Sukanya Prangwattananon, 2009. "Tick size change on the Stock Exchange of Thailand," Review of Quantitative Finance and Accounting, Springer, vol. 32(4), pages 351-371, May.
    11. ap Gwilym, Owain & Verousis, Thanos, 2010. "Price clustering and underpricing in the IPO aftermarket," International Review of Financial Analysis, Elsevier, vol. 19(2), pages 89-97, March.
    12. Baig, Ahmed S. & Blau, Benjamin M. & Whitby, Ryan J., 2019. "Price clustering and economic freedom: The case of cross-listed securities," Journal of Multinational Financial Management, Elsevier, vol. 50(C), pages 1-12.
    13. Murphy Jun Jie Lee, 2013. "The Microstructure of Trading Processes on the Singapore Exchange," PhD Thesis, Finance Discipline Group, UTS Business School, University of Technology, Sydney, number 4, July-Dece.

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