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Automated Market Makers: Toward More Profitable Liquidity Provisioning Strategies

Author

Listed:
  • Thanos Drossos
  • Daniel Kirste
  • Niclas Kannengie{ss}er
  • Ali Sunyaev

Abstract

To trade tokens in cryptoeconomic systems, automated market makers (AMMs) typically rely on liquidity providers (LPs) that deposit tokens in exchange for rewards. To profit from such rewards, LPs must use effective liquidity provisioning strategies. However, LPs lack guidance for developing such strategies, which often leads them to financial losses. We developed a measurement model based on impermanent loss to analyze the influences of key parameters (i.e., liquidity pool type, position duration, position range size, and position size) of liquidity provisioning strategies on LPs' returns. To reveal the influences of those key parameters on LPs' profits, we used the measurement model to analyze 700 days of historical liquidity provision data of Uniswap v3. By uncovering the influences of key parameters of liquidity provisioning strategies on profitability, this work supports LPs in developing more profitable strategies.

Suggested Citation

  • Thanos Drossos & Daniel Kirste & Niclas Kannengie{ss}er & Ali Sunyaev, 2025. "Automated Market Makers: Toward More Profitable Liquidity Provisioning Strategies," Papers 2501.07828, arXiv.org.
    • Handle: RePEc:arx:papers:2501.07828
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    References listed on IDEAS

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    1. Madhavan, Ananth, 2000. "Market microstructure: A survey," Journal of Financial Markets, Elsevier, vol. 3(3), pages 205-258, August.
    2. Lioba Heimbach & Ye Wang & Roger Wattenhofer, 2021. "Behavior of Liquidity Providers in Decentralized Exchanges," Papers 2105.13822, arXiv.org, revised Oct 2021.
    3. Jason Milionis & Xin Wan & Austin Adams, 2023. "FLAIR: A Metric for Liquidity Provider Competitiveness in Automated Market Makers," Papers 2306.09421, arXiv.org.
    4. Matthias Hafner & Helmut Dietl, 2024. "Impermanent Loss Conditions: An Analysis of Decentralized Exchange Platforms," Papers 2401.07689, arXiv.org, revised Feb 2024.
    5. Brown, Stephen J, et al, 1992. "Survivorship Bias in Performance Studies," The Review of Financial Studies, Society for Financial Studies, vol. 5(4), pages 553-580.
    6. Vassilios Babalos & Elie Bouri & Rangan Gupta, 2024. "Does the Introduction of US Spot Bitcoin ETFs Affect Spot Returns and Volatility of Major Cryptocurrencies?," Working Papers 202416, University of Pretoria, Department of Economics.
    7. Glosten, Lawrence R. & Milgrom, Paul R., 1985. "Bid, ask and transaction prices in a specialist market with heterogeneously informed traders," Journal of Financial Economics, Elsevier, vol. 14(1), pages 71-100, March.
    8. Kyle, Albert S, 1985. "Continuous Auctions and Insider Trading," Econometrica, Econometric Society, vol. 53(6), pages 1315-1335, November.
    9. 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.
    10. Daniel Kirste & Alexander Poddey & Niclas Kannengießer & Ali Sunyaev, 2024. "On the influence of conventional and automated market makers on market quality in cryptoeconomic systems," Electronic Markets, Springer;IIM University of St. Gallen, vol. 34(1), pages 1-18, December.
    11. Basile Caparros & Amit Chaudhary & Olga Klein, 2023. "Blockchain scaling and liquidity concentration on decentralized exchanges," Papers 2306.17742, arXiv.org, revised Mar 2024.
    12. 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.
    13. Bhaskar Krishnamachari & Qi Feng & Eugenio Grippo, 2021. "Dynamic Curves for Decentralized Autonomous Cryptocurrency Exchanges," Papers 2101.02778, arXiv.org.
    14. George A. Akerlof, 1970. "The Market for "Lemons": Quality Uncertainty and the Market Mechanism," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 84(3), pages 488-500.
    15. Andreas A. Aigner & Gurvinder Dhaliwal, 2021. "UNISWAP: Impermanent Loss and Risk Profile of a Liquidity Provider," Papers 2106.14404, arXiv.org.
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