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How Automated Market Makers Approach the Thin Market Problem in Cryptoeconomic Systems

Author

Listed:
  • Daniel Kirste
  • Niclas Kannengie{ss}er
  • Ricky Lamberty
  • Ali Sunyaev

Abstract

The proper design of automated market makers (AMMs) is crucial to enable the continuous trading of assets represented as digital tokens on markets of cryptoeconomic systems. Improperly designed AMMs can make such markets suffer from the thin market problem (TMP), which can cause cryptoeconomic systems to fail their purposes. We developed an AMM taxonomy that showcases AMM design characteristics. Based on the AMM taxonomy, we devised AMM archetypes implementing principal solution approaches for the TMP. The main purpose of this article is to support practitioners and researchers in tackling the TMP through proper AMM designs.

Suggested Citation

  • Daniel Kirste & Niclas Kannengie{ss}er & Ricky Lamberty & Ali Sunyaev, 2023. "How Automated Market Makers Approach the Thin Market Problem in Cryptoeconomic Systems," Papers 2309.12818, arXiv.org, revised Sep 2023.
    • Handle: RePEc:arx:papers:2309.12818
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    References listed on IDEAS

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    1. Anderson, John D. & Hudson, Darren & Harri, Ardian & Turner, Steven C., 2007. "A New Taxonomy of Thin Markets," 2007 Annual Meeting, February 4-7, 2007, Mobile, Alabama 34826, Southern Agricultural Economics Association.
    2. Jiahua Xu & Krzysztof Paruch & Simon Cousaert & Yebo Feng, 2021. "SoK: Decentralized Exchanges (DEX) with Automated Market Maker (AMM) Protocols," Papers 2103.12732, arXiv.org, revised Mar 2023.
    3. Benston, George J & Smith, Clifford W, Jr, 1976. "A Transactions Cost Approach to the Theory of Financial Intermediation," Journal of Finance, American Finance Association, vol. 31(2), pages 215-231, May.
    4. Guillermo Angeris & Tarun Chitra, 2020. "Improved Price Oracles: Constant Function Market Makers," Papers 2003.10001, arXiv.org, revised Jun 2020.
    5. John Fountain & Glenn Harrison, 2011. "What do prediction markets predict?," Applied Economics Letters, Taylor & Francis Journals, vol. 18(3), pages 267-272.
    6. Bharat A. Jain & Omesh Kini, 1999. "The Life Cycle of Initial Public Offering Firms," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 26(9‐10), pages 1281-1307, November.
    7. Vijay Mohan, 2022. "Automated market makers and decentralized exchanges: a DeFi primer," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 8(1), pages 1-48, December.
    8. Burton G. Malkiel, 2003. "The Efficient Market Hypothesis and Its Critics," Working Papers 111, Princeton University, Department of Economics, Center for Economic Policy Studies..
    9. Burton G. Malkiel, 2003. "The Efficient Market Hypothesis and Its Critics," Working Papers 111, Princeton University, Department of Economics, Center for Economic Policy Studies..
    10. Yongge Wang, 2020. "Automated Market Makers for Decentralized Finance (DeFi)," Papers 2009.01676, arXiv.org, revised Sep 2020.
    11. repec:pri:cepsud:91malkiel is not listed on IDEAS
    12. Fama, Eugene F, 1970. "Efficient Capital Markets: A Review of Theory and Empirical Work," Journal of Finance, American Finance Association, vol. 25(2), pages 383-417, May.
    13. Kyle, Albert S, 1985. "Continuous Auctions and Insider Trading," Econometrica, Econometric Society, vol. 53(6), pages 1315-1335, November.
    14. Robert C Nickerson & Upkar Varshney & Jan Muntermann, 2013. "A method for taxonomy development and its application in information systems," European Journal of Information Systems, Taylor & Francis Journals, vol. 22(3), pages 336-359, May.
    15. Tobias Bitterli & Fabian Schar, 2023. "Decentralized Exchanges: The Profitability Frontier of Constant Product Market Makers," Papers 2302.05219, arXiv.org, revised Mar 2023.
    16. Guido Friebel & Michael Raith, 2010. "Resource Allocation and Organizational Form," American Economic Journal: Microeconomics, American Economic Association, vol. 2(2), pages 1-33, May.
    17. Loughran, Tim & Ritter, Jay R. & Rydqvist, Kristian, 1995. "Initial public offerings: International insights," Pacific-Basin Finance Journal, Elsevier, vol. 3(1), pages 139-140, May.
    18. Robin Hanson, 2003. "Combinatorial Information Market Design," Information Systems Frontiers, Springer, vol. 5(1), pages 107-119, January.
    19. Bharat A. Jain & Omesh Kini, 1999. "The Life Cycle of Initial Public Offering Firms," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 26(9-10), pages 1281-1307.
    20. Allen, Franklin & Santomero, Anthony M., 2001. "What do financial intermediaries do?," Journal of Banking & Finance, Elsevier, vol. 25(2), pages 271-294, February.
    21. Burton G. Malkiel, 2003. "The Efficient Market Hypothesis and Its Critics," Journal of Economic Perspectives, American Economic Association, vol. 17(1), pages 59-82, Winter.
    22. Guillermo Angeris & Hsien-Tang Kao & Rei Chiang & Charlie Noyes & Tarun Chitra, 2019. "An analysis of Uniswap markets," Papers 1911.03380, arXiv.org, revised Feb 2021.
    23. Dev Churiwala & Bhaskar Krishnamachari, 2022. "QLAMMP: A Q-Learning Agent for Optimizing Fees on Automated Market Making Protocols," Papers 2211.14977, arXiv.org.
    24. Adam Khakhar & Xi Chen, 2022. "Delta Hedging Liquidity Positions on Automated Market Makers," Papers 2208.03318, arXiv.org, revised Dec 2022.
    25. Jiahua Xu & Benjamin Livshits, 2018. "The Anatomy of a Cryptocurrency Pump-and-Dump Scheme," Papers 1811.10109, arXiv.org, revised Aug 2019.
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