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Effect of Minimum Tick Size Policy on Price Efficiency and Execution Cost

Author

Listed:
  • Syamsul Idul Adha

    (Faculty of Islamic Economics and Business, UIN Ar-Raniry, Indonesia.)

  • A. Sakir

    (Faculty of Economics and Business, University of Syiah Kuala, Indonesia.)

Abstract

Research Question: Whether the minimum tick size has effect on small caps price efficiency and execution cost on the Indonesia Stock Exchange (IDX). Motivation: The market microstructure of the Indonesia Stock Exchange (IDX) is based on the emerging market-order driven system which is different than developed market and identified by the problem of inefficiency market. The previous related literatures to minimum tick size policy are only limited to the concept of liquidity and the bid-ask spreads (Bessembinder, 1999; Goldstein and Kavajecz, 2000; Ekaputra and Ahmad, 2007). We propose a new empirical model using Market Efficiency Coefficient (MEC) approach as the only proxy of the price efficiency, Price Inefficiency (PINE) to measure the level of price inefficiency level, and Execution Cost (COST) to measure the probability of error pricing in stock trading. This empirical model is applied to the testing of the effectiveness of minimum tick size policy and its impact on stock trading efficiency. Idea: Based on the empirical research literature, the minimum tick size policy will increase the price efficiency and reducing the execution cost for some of the securities transactions, then the execution cost can also be minimalized to create a beneficial transaction. Data: We collect the daily stock price trading, intraday price trading, and trading volume from Regular Board (RG) and RTI data recording. Method/Tools: We run the Ordinary Least Square (OLS), Quintile Regression as robust test, and General Linear Model to test the empirical model. Findings: We find that the minimum tick size insignificantly effects price efficiency and partially affects execution cost. The minimum tick size significantly affects mean of execution cost, but insignificantly affects median of execution cost. We also find that insignificant difference of small caps price efficiency level between pre-implementation of the minimum tick size and post-implementation of the minimum tick size and significant difference of execution cost level between pre-implementation of the minimum tick size and post implementation of the minimum tick size. Contributions: Our research contributes to develop a robust empirical model to analyse the impact of market microstructure policy.

Suggested Citation

  • Syamsul Idul Adha & A. Sakir, 2021. "Effect of Minimum Tick Size Policy on Price Efficiency and Execution Cost," Capital Markets Review, Malaysian Finance Association, vol. 29(2), pages 29-41.
    • Handle: RePEc:mfa:journl:v:29:y:2021:i:2:p:29-41
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    References listed on IDEAS

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    1. Terrance Odean., 1996. "Volume, Volatility, Price and Profit When All Trader Are Above Average," Research Program in Finance Working Papers RPF-266, University of California at Berkeley.
    2. Tarun Chordia & Lakshmanan Shivakumar & Avanidhar Subrahmanyam, 2006. "The Cross-Section of Daily Variation in Liquidity," World Scientific Book Chapters, in: Ivan E Brick & Tavy Ronen & Cheng-Few Lee (ed.), Advances In Quantitative Analysis Of Finance And Accounting Essays in Microstructure in Honor of David K Whitcomb, chapter 5, pages 75-110, World Scientific Publishing Co. Pte. Ltd..
    3. Grossman, Sanford J & Stiglitz, Joseph E, 1980. "On the Impossibility of Informationally Efficient Markets," American Economic Review, American Economic Association, vol. 70(3), pages 393-408, June.
    4. Green, T. Clifton, 2006. "The Value of Client Access to Analyst Recommendations," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 41(1), pages 1-24, March.
    5. Angel, James J, 1997. "Tick Size, Share Prices, and Stock Splits," Journal of Finance, American Finance Association, vol. 52(2), pages 655-681, June.
    6. 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.
    7. Irwan Adi Ekaputra & Basharat Ahmad, 2007. "The Impact of Tick Size Reduction on Liquidity and Order Strategy : Evidence from the Jakarta Stock Exchange (JSX)," Economics and Finance in Indonesia, Faculty of Economics and Business, University of Indonesia, vol. 55, pages 89-104, April.
    8. 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.
    9. Peter Cramton, 1997. "The FCC Spectrum Auctions: An Early Assessment," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 6(3), pages 431-495, September.
    10. Andreas Dische, 2002. "Dispersion in Analyst Forecasts and the Profitability of Earnings Momentum Strategies," European Financial Management, European Financial Management Association, vol. 8(2), pages 211-228, June.
    11. Van Ness, Bonnie F & Van Ness, Robert A & Pruitt, Stephen W, 2000. "The Impact of the Reduction in Tick Increments in Major U.S. Markets on Spreads, Depth, and Volatility," Review of Quantitative Finance and Accounting, Springer, vol. 15(2), pages 153-167, September.
    12. Barberis, Nicholas & Shleifer, Andrei & Vishny, Robert, 1998. "A model of investor sentiment," Journal of Financial Economics, Elsevier, vol. 49(3), pages 307-343, September.
    13. Chiang, Thomas C & Doong, Shuh-Chyi, 2001. "Empirical Analysis of Stock Returns and Volatility: Evidence from Seven Asian Stock Markets Based on TAR-GARCH Model," Review of Quantitative Finance and Accounting, Springer, vol. 17(3), pages 301-318, November.
    14. OPREAN Camelia & BRATIAN Vasile, 2012. "Financial Market Tests Of Informational Efficiency: The Case Of Emergent Markets," Revista Economica, Lucian Blaga University of Sibiu, Faculty of Economic Sciences, vol. 65(6), pages 57-82.
    15. 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.
    16. Jones, Charles M. & Kaul, Gautam & Lipson, Marc L., 1994. "Information, trading, and volatility," Journal of Financial Economics, Elsevier, vol. 36(1), pages 127-154, August.
    17. 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.
    18. Irwan Adi Ekaputra & Erni Sukmadini Asikin, 2012. "Impact of Tick Size Reduction on Small Caps Price Efficiency and Execution cost on the Indonesia Stock Exchange," Asian Academy of Management Journal of Accounting and Finance (AAMJAF), Penerbit Universiti Sains Malaysia, vol. 8(Supp. 1), pages 1-12.
    19. Alexander Kurov, 2008. "Tick size reduction, execution costs, and informational efficiency in the regular and E‐mini Nasdaq‐100 index futures markets," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 28(9), pages 871-888, September.
    20. Fama, Eugene F, et al, 1969. "The Adjustment of Stock Prices to New Information," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 10(1), pages 1-21, February.
    21. OPREAN Camelia & BRATIAN Vasile, 2012. "Market Informational Efficiency Tests And Its Critics: The Case Of Emergent Capital Markets," Revista Economica, Lucian Blaga University of Sibiu, Faculty of Economic Sciences, vol. 0(4), pages 482-491.
    22. Chordia, Tarun & Roll, Richard & Subrahmanyam, Avanidhar, 2008. "Liquidity and market efficiency," Journal of Financial Economics, Elsevier, vol. 87(2), pages 249-268, February.
    23. Lehmann, Bruce N., 2002. "Some desiderata for the measurement of price discovery across markets," Journal of Financial Markets, Elsevier, vol. 5(3), pages 259-276, July.
    24. David C. Porter & Daniel G. Weaver, 1997. "Tick Size and Market Quality," Financial Management, Financial Management Association, vol. 26(4), Winter.
    25. Baillie, Richard T. & Geoffrey Booth, G. & Tse, Yiuman & Zabotina, Tatyana, 2002. "Price discovery and common factor models," Journal of Financial Markets, Elsevier, vol. 5(3), pages 309-321, July.
    26. Bessembinder, Hendrik, 1999. "Trade Execution Costs on NASDAQ and the NYSE: A Post-Reform Comparison," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 34(3), pages 387-407, September.
    27. repec:bla:jfinan:v:53:y:1998:i:6:p:1887-1934 is not listed on IDEAS
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    More about this item

    Keywords

    Minimum tick size; price efficiency; price inefficiency; execution cost; IDX;
    All these keywords.

    JEL classification:

    • G00 - Financial Economics - - General - - - General
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading
    • G19 - Financial Economics - - General Financial Markets - - - Other

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