IDEAS home Printed from https://ideas.repec.org/a/eee/finlet/v45y2022ics1544612321002233.html
   My bibliography  Save this article

Timing of tick size reduction: Threshold and smooth transition model analysis

Author

Listed:
  • Maruyama, Hiroyuki
  • Tabata, Tomoaki

Abstract

“Tick size” is the minimum subdivision of price at which investors can buy or sell an asset in a financial market. Tick size is reduced to improve market quality and liquidity. This study analyzes the volume dimension of liquidity—specifically, trading volume—to determine the time of impact of the 2014 tick size reduction policy, implemented in two phases (P1 and P2) by the Tokyo Stock Exchange. Threshold autoregressive (TAR) and logistic smooth transition autoregressive (LSTAR) models are used to estimate this time of impact. The results show that the use of the TAR model changed the trading volumes for P1 and P2 on December 13, 2013, and June 30, 2014, respectively. With the addition of the LSTAR model, the trading volumes of P1 and P2 changed on December 16, 2013, and September 3, 2014, respectively. These results suggest that empirical studies on tick size reduction need longer interruptions.

Suggested Citation

  • Maruyama, Hiroyuki & Tabata, Tomoaki, 2022. "Timing of tick size reduction: Threshold and smooth transition model analysis," Finance Research Letters, Elsevier, vol. 45(C).
    • Handle: RePEc:eee:finlet:v:45:y:2022:i:c:s1544612321002233
    DOI: 10.1016/j.frl.2021.102142
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1544612321002233
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.frl.2021.102142?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Bessembinder, Hendrik, 2000. "Tick Size, Spreads, and Liquidity: An Analysis of Nasdaq Securities Trading near Ten Dollars," Journal of Financial Intermediation, Elsevier, vol. 9(3), pages 213-239, July.
    2. K. S. Chan & H. Tong, 1986. "On Estimating Thresholds In Autoregressive Models," Journal of Time Series Analysis, Wiley Blackwell, vol. 7(3), pages 179-190, May.
    3. Bacidore, Jeffrey M., 1997. "The Impact of Decimalization on Market Quality: An Empirical Investigation of the Toronto Stock Exchange," Journal of Financial Intermediation, Elsevier, vol. 6(2), pages 92-120, April.
    4. Robert F. Engle & Joe Lange, 1997. "Measuring, Forecasting and Explaining Time Varying Liquidity in the Stock Market," NBER Working Papers 6129, National Bureau of Economic Research, Inc.
    5. Yamamoto, Ryuichi, 2020. "Limit order submission risks, order choice, and tick size," Pacific-Basin Finance Journal, Elsevier, vol. 59(C).
    6. Eaton, Gregory W. & Irvine, Paul J. & Liu, Tingting, 2021. "Measuring institutional trading costs and the implications for finance research: The case of tick size reductions," Journal of Financial Economics, Elsevier, vol. 139(3), pages 832-851.
    7. Lin, Chien-Fu Jeff & Terasvirta, Timo, 1994. "Testing the constancy of regression parameters against continuous structural change," Journal of Econometrics, Elsevier, vol. 62(2), pages 211-228, June.
    8. Li, Dan & Xia, Ying, 2021. "Gauging the effects of stock liquidity on earnings management: Evidence from the SEC tick size pilot test," Journal of Corporate Finance, Elsevier, vol. 67(C).
    9. Xiao, Xijuan & Yamamoto, Ryuichi, 2020. "Price discovery, order submission, and tick size during preopen period," Pacific-Basin Finance Journal, Elsevier, vol. 63(C).
    10. Akgiray, Vedat, 1989. "Conditional Heteroscedasticity in Time Series of Stock Returns: Evidence and Forecasts," The Journal of Business, University of Chicago Press, vol. 62(1), pages 55-80, January.
    11. Ahn, Hee-Joon & Cai, Jun & Chan, Kalok & Hamao, Yasushi, 2007. "Tick size change and liquidity provision on the Tokyo Stock Exchange," Journal of the Japanese and International Economies, Elsevier, vol. 21(2), pages 173-194, June.
    12. Kyle, Albert S, 1985. "Continuous Auctions and Insider Trading," Econometrica, Econometric Society, vol. 53(6), pages 1315-1335, November.
    13. Harris, Lawrence E, 1994. "Minimum Price Variations, Discrete Bid-Ask Spreads, and Quotation Sizes," The Review of Financial Studies, Society for Financial Studies, vol. 7(1), pages 149-178.
    14. Sugato Chakravarty & Robert A. Wood & Robert A. Van Ness, 2004. "Decimals And Liquidity: A Study Of The Nyse," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 27(1), pages 75-94, March.
    15. Ahn, Hee-Joon & Cao, Charles Q. & Choe, Hyuk, 1996. "Tick Size, Spread, and Volume," Journal of Financial Intermediation, Elsevier, vol. 5(1), pages 2-22, January.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. 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.
    2. 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.
    3. Michael Fleming & Giang Nguyen & Francisco Ruela, 2024. "Tick Size, Competition for Liquidity Provision, and Price Discovery: Evidence from the U.S. Treasury Market," Management Science, INFORMS, vol. 70(1), pages 332-354, January.
    4. 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.
    5. Mike Derksen & Bas Kleijn & Robin de Vilder, 2020. "Effects of MiFID II on stock price formation," Papers 2003.10353, arXiv.org, revised Aug 2020.
    6. 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, January-A.
    7. Xinhui Yang & Jie Zhang & Qing Ye, 2020. "Tick size and market quality: Simulations based on agent‐based artificial stock markets," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 27(3), pages 125-141, July.
    8. 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.
    9. Pascual, Roberto, 1999. "How does liquidity behave? A multidimensional analysis of NYSE stocks," DEE - Working Papers. Business Economics. WB 6433, Universidad Carlos III de Madrid. Departamento de Economía de la Empresa.
    10. Buti, Sabrina & Rindi, Barbara & Wen, Yuanji & Werner, Ingrid M., 2013. "Tick Size Regulation and Sub-Penny Trading," Working Paper Series 2013-14, Ohio State University, Charles A. Dice Center for Research in Financial Economics.
    11. Large, Jeremy, 2009. "A market-clearing role for inefficiency on a limit order book," Journal of Financial Economics, Elsevier, vol. 91(1), pages 102-117, January.
    12. Lepone, Andrew & Wong, Jin Boon, 2017. "Pseudo market-makers, market quality and the minimum tick size," International Review of Economics & Finance, Elsevier, vol. 47(C), pages 88-100.
    13. Goldstein, Michael A. & A. Kavajecz, Kenneth, 2000. "Eighths, sixteenths, and market depth: changes in tick size and liquidity provision on the NYSE," Journal of Financial Economics, Elsevier, vol. 56(1), pages 125-149, April.
    14. 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.
    15. Greg MacKinnon & Howard Nemiroff, 1999. "Liquidity And Tick Size: Does Decimalization Matter?," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 22(3), pages 287-299, September.
    16. Gibson, Scott & Singh, Rajdeep & Yerramilli, Vijay, 2003. "The effect of decimalization on the components of the bid-ask spread," Journal of Financial Intermediation, Elsevier, vol. 12(2), pages 121-148, April.
    17. Harald Hau, 2006. "The Role of Transaction Costs for Financial Volatility: Evidence from the Paris Bourse," Journal of the European Economic Association, MIT Press, vol. 4(4), pages 862-890, June.
    18. Khalil Dayri & Mathieu Rosenbaum, 2012. "Large tick assets: implicit spread and optimal tick size," Papers 1207.6325, arXiv.org, revised Jan 2013.
    19. Mahmoodzadeh, Soheil & Gençay, Ramazan, 2017. "Human vs. high-frequency traders, penny jumping, and tick size," Journal of Banking & Finance, Elsevier, vol. 85(C), pages 69-82.
    20. Cai, Jun & Hamao, Yasushi & Ho, Richard Y.K., 2008. "Tick size change and liquidity provision for Japanese stock trading near [yen sign]1000," Japan and the World Economy, Elsevier, vol. 20(1), pages 19-39, January.

    More about this item

    Keywords

    Tick size reduction; Tokyo stock exchange; Liquidity; Trading volume; Threshold autoregressive model; Logistic smooth transition autoregressive model;
    All these keywords.

    JEL classification:

    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading
    • G18 - Financial Economics - - General Financial Markets - - - Government Policy and Regulation

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:finlet:v:45:y:2022:i:c:s1544612321002233. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/frl .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.