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Impact of maker-taker fees on stock exchange competition from an agent-based simulation

Author

Listed:
  • Mahiro Hoshino

    (Graduate School of Kanagawa Institute of Technology)

  • Takanobu Mizuta

    (SPARX Asset Management Co., Ltd.)

  • Yasuhiro Sudo

    (Kanagawa Institute of Technology)

  • Isao Yagi

    (Kogakuin University)

Abstract

One fee structure offered by stock exchanges is maker-taker fees, in which the exchange pays rebates to traders who place limit orders and collects trading fees from traders who place market orders. A stock market that employs maker-taker fees is thought to outpace its stock market competition in the sense that its relative market volume share will increase due to the expectation of efficient market formation. However, whether this idea is true has not been sufficiently investigated. Therefore, in the present study, we constructed two artificial markets, one with maker-taker fees and the other without them, and investigated how the trading shares of these two markets vary. We also calculated and compared market liquidity, volatility, and efficiency of the two markets. As a result, the market volume share of the market with maker-taker fees was found to increase with the rebate amount when the stock exchange provided sufficient rebates. Otherwise, the market with maker-taker fees lost market volume share to the market without maker-taker fees. In addition, we found that market liquidity increased and volatility decreased in the market that adopted maker-taker fees. In the market that does not adopt maker-taker fees, market liquidity and volatility did not necessarily improve. In contrast, market efficiency was found to improve in both markets.

Suggested Citation

  • Mahiro Hoshino & Takanobu Mizuta & Yasuhiro Sudo & Isao Yagi, 2022. "Impact of maker-taker fees on stock exchange competition from an agent-based simulation," Journal of Computational Social Science, Springer, vol. 5(2), pages 1323-1342, November.
  • Handle: RePEc:spr:jcsosc:v:5:y:2022:i:2:d:10.1007_s42001-022-00169-5
    DOI: 10.1007/s42001-022-00169-5
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    References listed on IDEAS

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    1. Chiarella, Carl & Iori, Giulia, 2009. "The impact of heterogeneous trading rules on the limit order book and order flows," Journal of Economic Dynamics and Control, Elsevier, vol. 33(3), pages 525-537.
    2. Benoit Mandelbrot, 1967. "The Variation of Some Other Speculative Prices," The Journal of Business, University of Chicago Press, vol. 40, pages 393-393.
    3. Thierry Foucault & Ohad Kadan & Eugene Kandel, 2013. "Liquidity Cycles and Make/Take Fees in Electronic Markets," Journal of Finance, American Finance Association, vol. 68(1), pages 299-341, February.
    4. Isao Yagi & Mahiro Hoshino & Takanobu Mizuta, 2020. "Analysis of the impact of maker-taker fees on the stock market using agent-based simulation," Papers 2010.08992, arXiv.org.
    5. MacKenzie, Donald & Pardo-Guerra, Juan Pablo, 2014. "Insurgent capitalism: Island, bricolage and the re-making of finance," LSE Research Online Documents on Economics 57549, London School of Economics and Political Science, LSE Library.
    6. Robert Battalio & Shane A. Corwin & Robert Jennings, 2016. "Can Brokers Have It All? On the Relation between Make-Take Fees and Limit Order Execution Quality," Journal of Finance, American Finance Association, vol. 71(5), pages 2193-2238, October.
    7. Jun Muranaga, 1999. "Dynamics of Market Liquidity of Japanese Stocks: An Analysis of Tick-by-Tick Data of the Tokyo Stock Exchange," CGFS Papers chapters, in: Bank for International Settlements (ed.), Market Liquidity: Research Findings and Selected Policy Implications, volume 11, pages 1-25, Bank for International Settlements.
    8. Kenji Nishizaki & Akira Tsuchikawa & Tomoyuki Yagi, 2013. "Indicators Related to Liquidity in JGB Markets," Bank of Japan Review Series 13-E-3, Bank of Japan.
    9. Chia-Hsuan Yeh & Chun-Yi Yang, 2013. "Do price limits hurt the market?," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 8(1), pages 125-153, April.
    10. R. Cont, 2001. "Empirical properties of asset returns: stylized facts and statistical issues," Quantitative Finance, Taylor & Francis Journals, vol. 1(2), pages 223-236.
    11. Justin Cox & Bonnie Van Ness & Robert Van Ness, 2019. "Increasing the Tick: Examining the Impact of the Tick Size Change on Maker‐Taker and Taker‐Maker Market Models," The Financial Review, Eastern Finance Association, vol. 54(3), pages 417-449, August.
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