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Market Making with Discrete Prices

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  • Anshuman, V Ravi
  • Kalay, Avner

Abstract

Exchange-mandated discrete pricing restrictions create a wedge between the underlying equilibrium price and the observed price. This wedge permits a competitive market maker to realize economic profits that could help recoup fixed costs. The optimal tick size that maximizes the expected profits of the market maker can be equal to $1/8 for reasonable parameter values. The optimal tick size is decreasing in the degree of adverse selection. Discreteness per se can cause time-varying bid-ask spreads, asymmetric commissions, and market breakdowns. Discreteness, which imposes additional transaction costs, reduces the value of private information. Liquidity traders can benefit under certain conditions. Article published by Oxford University Press on behalf of the Society for Financial Studies in its journal, The Review of Financial Studies.

Suggested Citation

  • Anshuman, V Ravi & Kalay, Avner, 1998. "Market Making with Discrete Prices," Review of Financial Studies, Society for Financial Studies, vol. 11(1), pages 81-109.
  • Handle: RePEc:oup:rfinst:v:11:y:1998:i:1:p:81-109
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    Citations

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    Cited by:

    1. 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.
    2. Wang, Huaiqing & Wang, Chen, 2002. "Visibility of the compass rose in financial asset returns: A quantitative study," Journal of Banking & Finance, Elsevier, vol. 26(6), pages 1099-1111, June.
    3. Jones, Charles M. & Lipson, Marc L., 2001. "Sixteenths: direct evidence on institutional execution costs," Journal of Financial Economics, Elsevier, vol. 59(2), pages 253-278, February.
    4. Oliver Linton & Soheil Mahmoodzadeh, 2018. "Implications of high-frequency trading for security markets," CeMMAP working papers CWP06/18, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    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. 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.
    7. repec:eee:jbfina:v:85:y:2017:i:c:p:69-82 is not listed on IDEAS
    8. Linton, O. & Mahmoodzadeh, S., 2018. "Implications of High-Frequency Trading for Security Markets," Cambridge Working Papers in Economics 1802, Faculty of Economics, University of Cambridge.
    9. 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.
    10. 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.
    11. 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.
    12. Cordella, Tito & Foucault, Thierry, 1999. "Minimum Price Variations, Time Priority, and Quote Dynamics," Journal of Financial Intermediation, Elsevier, vol. 8(3), pages 141-173, July.
    13. Gunther Capelle-Blancard & Mo Chaudhury, 2007. "Price clustering in the CAC 40 index options market," Applied Financial Economics, Taylor & Francis Journals, vol. 17(15), pages 1201-1210.
    14. Sorjonen, Pasi, 2002. "Ex-Dividend Day Stock Returns and Tick Rules," Discussion Papers 675, The Research Institute of the Finnish Economy.
    15. Sorjonen, Pasi, . "Essays on Dividends and Taxes," ETLA A, The Research Institute of the Finnish Economy, number 30, May.
    16. Sorjonen, Pasi, 2002. "Ex-Dividend Day Stock Price Behavior, Taxes and Discrete Prices; A Simulation Experiment," Discussion Papers 676, The Research Institute of the Finnish Economy.
    17. Bollen, Nicolas P.B. & Christie, William G., 2009. "Market microstructure of the Pink Sheets," Journal of Banking & Finance, Elsevier, vol. 33(7), pages 1326-1339, July.
    18. Bollen, Nicolas P. B. & Smith, Tom & Whaley, Robert E., 2004. "Modeling the bid/ask spread: measuring the inventory-holding premium," Journal of Financial Economics, Elsevier, vol. 72(1), pages 97-141, April.
    19. Anshuman, V. Ravi & Kalay, Avner, 2002. "Can splits create market liquidity? Theory and evidence," Journal of Financial Markets, Elsevier, vol. 5(1), pages 83-125, January.
    20. 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-.
    21. 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.
    22. Lipson, Marc L. & Mortal, Sandra, 2006. "The effect of stock splits on clientele: Is tick size relevant?," Journal of Corporate Finance, Elsevier, vol. 12(5), pages 878-896, December.
    23. Mitchell, Heather & McKenzie, Michael D., 2006. "A note on the Wang and Wang measure of the quality of the compass rose," Journal of Banking & Finance, Elsevier, vol. 30(12), pages 3519-3524, December.
    24. Bacidore, Jeffrey M., 2001. "Decimalization, adverse selection, and market maker rents," Journal of Banking & Finance, Elsevier, vol. 25(5), pages 829-855, May.

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