IDEAS home Printed from https://ideas.repec.org/p/upf/upfgen/182.html
   My bibliography  Save this paper

Minimum price variations, time priority and quotes dynamics

Author

Listed:
  • Tito Cordella
  • Thierry Foucault

Abstract

We analyze the impact of a minimum price variation (tick) and time priority on the dynamics of quotes and the trading costs when competition for the order flow is dynamic. We find that convergence to competitive outcomes can take time and that the speed of convergence is influenced by the tick size, the priority rule and the characteristics of the order arrival process. We show also that a zero minimum price variation is never optimal when competition for the order flow is dynamic. We compare the trading outcomes with and without time priority. Time priority is shown to guarantee that uncompetitive spreads cannot be sustained over time. However it can sometimes result in higher trading costs. Empirical implications are proposed. In particular, we relate the size of the trading costs to the frequency of new offers and the dynamics of the inside spread to the state of the book.

Suggested Citation

  • Tito Cordella & Thierry Foucault, 1996. "Minimum price variations, time priority and quotes dynamics," Economics Working Papers 182, Department of Economics and Business, Universitat Pompeu Fabra.
    • Handle: RePEc:upf:upfgen:182
    as

    Download full text from publisher

    File URL: https://econ-papers.upf.edu/papers/182.pdf
    File Function: Whole Paper
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Dutta, Prajit K & Madhavan, Ananth, 1997. "Competition and Collusion in Dealer Markets," Journal of Finance, American Finance Association, vol. 52(1), pages 245-276, March.
    2. 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.
    3. Biais, Bruno & Hillion, Pierre & Spatt, Chester, 1995. "An Empirical Analysis of the Limit Order Book and the Order Flow in the Paris Bourse," Journal of Finance, American Finance Association, vol. 50(5), pages 1655-1689, December.
    4. Chordia, Tarun & Subrahmanyam, Avanidhar, 1995. "Market Making, the Tick Size, and Payment-for-Order Flow: Theory and Evidence," The Journal of Business, University of Chicago Press, vol. 68(4), pages 543-575, October.
    5. Anshuman, V Ravi & Kalay, Avner, 1998. "Market Making with Discrete Prices," The Review of Financial Studies, Society for Financial Studies, vol. 11(1), pages 81-109.
    6. Angel, James J, 1997. "Tick Size, Share Prices, and Stock Splits," Journal of Finance, American Finance Association, vol. 52(2), pages 655-681, June.
    7. Garman, Mark B., 1976. "Market microstructure," Journal of Financial Economics, Elsevier, vol. 3(3), pages 257-275, June.
    8. Maskin, Eric & Tirole, Jean, 1988. "A Theory of Dynamic Oligopoly, II: Price Competition, Kinked Demand Curves, and Edgeworth Cycles," Econometrica, Econometric Society, vol. 56(3), pages 571-599, May.
    9. Kandel, Eugene & Marx, Leslie M., 1997. "Nasdaq market structure and spread patterns," Journal of Financial Economics, Elsevier, vol. 45(1), pages 61-89, July.
    10. Bernhardt, Dan & Hughson, Eric, 1996. "Discrete Pricing and the Design of Dealership Markets," Journal of Economic Theory, Elsevier, vol. 71(1), pages 148-182, October.
    11. 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.
    12. Domowitz, Ian, 1993. "A taxonomy of automated trade execution systems," Journal of International Money and Finance, Elsevier, vol. 12(6), pages 607-631, December.
    13. Easley, David, et al, 1996. "Liquidity, Information, and Infrequently Traded Stocks," Journal of Finance, American Finance Association, vol. 51(4), pages 1405-1436, September.
    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. Hasbrouck, Joel, 1999. "Security bid/ask dynamics with discreteness and clustering: Simple strategies for modeling and estimation1," Journal of Financial Markets, Elsevier, vol. 2(1), pages 1-28, February.
    2. Joel Hasbrouck, 1998. "Security Bid/Ask Dynamics with Discreteness and Clustering: Simple Strategies for Modeling and Estimation," New York University, Leonard N. Stern School Finance Department Working Paper Seires 98-042, New York University, Leonard N. Stern School of Business-.
    3. 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.
    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. 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.
    6. Griffiths, Mark D. & Smith, Brian F. & Turnbull, D. Alasdair S. & White, Robert W., 1998. "The Role of Tick Size in Upstairs Trading and Downstairs Trading," Journal of Financial Intermediation, Elsevier, vol. 7(4), pages 393-417, October.
    7. Ronen, Tavy & Weaver, Daniel G., 2001. "'Teenies' anyone?," Journal of Financial Markets, Elsevier, vol. 4(3), pages 231-260, June.
    8. Bacidore, Jeffrey M., 2001. "Decimalization, adverse selection, and market maker rents," Journal of Banking & Finance, Elsevier, vol. 25(5), pages 829-855, May.
    9. Madhavan, Ananth, 2000. "Market microstructure: A survey," Journal of Financial Markets, Elsevier, vol. 3(3), pages 205-258, August.
    10. Giuliano Graziani & Barbara Rindi, 2023. "Optimal Tick Size," Working Papers 688, IGIER (Innocenzo Gasparini Institute for Economic Research), Bocconi University.
    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. 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.
    13. Albuquerque, Rui & Song, Shiyun & Yao, Chen, 2017. "The Price Effects of Liquidity Shocks: A Study of SEC’s Tick-Size Experiment," CEPR Discussion Papers 12486, C.E.P.R. Discussion Papers.
    14. 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.
    15. Zeynep Cobandag Guloglu & Cumhur Ekinci, 2022. "Liquidity measurement: A comparative review of the literature with a focus on high frequency," Journal of Economic Surveys, Wiley Blackwell, vol. 36(1), pages 41-74, February.
    16. 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.
    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. Kadan, Ohad, 2006. "So who gains from a small tick size?," Journal of Financial Intermediation, Elsevier, vol. 15(1), pages 32-66, January.
    19. Alexander, Gordon J. & Peterson, Mark A., 2002. "Implications of a Reduction in Tick Size on Short-Sell Order Execution," Journal of Financial Intermediation, Elsevier, vol. 11(1), pages 37-60, January.
    20. 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.

    More about this item

    Keywords

    Market--microstructure; tick size; time priority; quotes formation; trading costs;
    All these keywords.

    JEL classification:

    • G19 - Financial Economics - - General Financial Markets - - - Other
    • D43 - Microeconomics - - Market Structure, Pricing, and Design - - - Oligopoly and Other Forms of Market Imperfection

    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:upf:upfgen:182. 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: the person in charge (email available below). General contact details of provider: http://www.econ.upf.edu/ .

    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.