IDEAS home Printed from https://ideas.repec.org/p/arx/papers/2206.04634.html
   My bibliography  Save this paper

The Economics of Automated Market Makers

Author

Listed:
  • Robin Fritsch
  • Samuel Kaser
  • Roger Wattenhofer

Abstract

This paper studies the question whether automated market maker protocols such as Uniswap can sustainably retain a portion of their trading fees for the protocol. We approach the problem by modelling how to optimally choose a pool's take rate, i.e\ the fraction of fee revenue that remains with the protocol, in order to maximize the protocol's revenue. The model suggest that if AMMs have a portion of loyal trade volume, they can sustainably set a non-zero take rate, even without losing liquidity to competitors with a zero take rate. Furthermore, we determine the optimal take rate depending on a number of model parameters including how much loyal trade volume pools have and how high the competitors' take rates are.

Suggested Citation

  • Robin Fritsch & Samuel Kaser & Roger Wattenhofer, 2022. "The Economics of Automated Market Makers," Papers 2206.04634, arXiv.org.
  • Handle: RePEc:arx:papers:2206.04634
    as

    Download full text from publisher

    File URL: http://arxiv.org/pdf/2206.04634
    File Function: Latest version
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Guillermo Angeris & Tarun Chitra & Alex Evans & Stephen Boyd, 2022. "Optimal Routing for Constant Function Market Makers," Papers 2204.05238, arXiv.org.
    2. Sam M. Werner & Daniel Perez & Lewis Gudgeon & Ariah Klages-Mundt & Dominik Harz & William J. Knottenbelt, 2021. "SoK: Decentralized Finance (DeFi)," Papers 2101.08778, arXiv.org, revised Sep 2022.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Auer, Raphael & Haslhofer, Bernhard & Kitzler, Stefan & Saggese, Pietro & Friedhelm, Victor, 2023. "The Technology of Decentralized Finance (DeFi)," CEPR Discussion Papers 18038, C.E.P.R. Discussion Papers.
    2. Deborah Miori & Mihai Cucuringu, 2022. "DeFi: data-driven characterisation of Uniswap v3 ecosystem & an ideal crypto law for liquidity pools," Papers 2301.13009, arXiv.org, revised Jan 2023.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Jiahua Xu & Nikhil Vadgama, 2021. "From banks to DeFi: the evolution of the lending market," Papers 2104.00970, arXiv.org, revised Dec 2022.
    2. Bruno Mazorra & Victor Adan & Vanesa Daza, 2022. "Do not rug on me: Zero-dimensional Scam Detection," Papers 2201.07220, arXiv.org.
    3. Castro-Iragorri, C & Ramírez, J & Vélez, S, 2021. "Financial intermediation and risk in decentralized lending protocols," Documentos de Trabajo 19420, Universidad del Rosario.
    4. Şoiman, Florentina & Dumas, Jean-Guillaume & Jimenez-Garces, Sonia, 2023. "What drives DeFi market returns?," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 85(C).
    5. Philippe Bergault & Louis Bertucci & David Bouba & Olivier Gu'eant, 2022. "Automated Market Makers: Mean-Variance Analysis of LPs Payoffs and Design of Pricing Functions," Papers 2212.00336, arXiv.org, revised Nov 2023.
    6. Yixin Cao & Chuanwei Zou & Xianfeng Cheng, 2021. "Flashot: A Snapshot of Flash Loan Attack on DeFi Ecosystem," Papers 2102.00626, arXiv.org.
    7. Carlos Castro-Iragorri & Julian Ramirez & Sebastian Velez, 2021. "Financial intermediation and risk in decentralized lending protocols," Papers 2107.14678, arXiv.org.
    8. Arman Abgaryan & Utkarsh Sharma, 2023. "Dynamic Function Market Maker," Papers 2307.13624, arXiv.org.
    9. Matheus V. X. Ferreira & David C. Parkes, 2022. "Credible Decentralized Exchange Design via Verifiable Sequencing Rules," Papers 2209.15569, arXiv.org, revised Apr 2023.
    10. Estelle Sterrett & Waylon Jepsen & Evan Kim, 2022. "Replicating Portfolios: Constructing Permissionless Derivatives," Papers 2205.09890, arXiv.org, revised Jun 2022.
    11. Sebastian Jaimungal & Yuri F. Saporito & Max O. Souza & Yuri Thamsten, 2023. "Optimal Trading in Automatic Market Makers with Deep Learning," Papers 2304.02180, arXiv.org.
    12. Lucy Huo & Ariah Klages-Mundt & Andreea Minca & Frederik Christian Munter & Mads Rude Wind, 2021. "Decentralized Governance of Stablecoins with Closed Form Valuation," Papers 2109.08939, arXiv.org, revised Jul 2022.
    13. Kshitij Kulkarni & Theo Diamandis & Tarun Chitra, 2022. "Towards a Theory of Maximal Extractable Value I: Constant Function Market Makers," Papers 2207.11835, arXiv.org, revised Apr 2023.
    14. Bruno Mazorra & Victor Adan & Vanesa Daza, 2022. "Do Not Rug on Me: Leveraging Machine Learning Techniques for Automated Scam Detection," Mathematics, MDPI, vol. 10(6), pages 1-24, March.
    15. Teng Andrea Xu & Jiahua Xu, 2022. "A Short Survey on Business Models of Decentralized Finance (DeFi) Protocols," Papers 2202.07742, arXiv.org, revised Jul 2023.
    16. Simon Cousaert & Jiahua Xu & Toshiko Matsui, 2021. "SoK: Yield Aggregators in DeFi," Papers 2105.13891, arXiv.org, revised Mar 2022.
    17. Guillermo Angeris & Tarun Chitra & Theo Diamandis & Alex Evans & Kshitij Kulkarni, 2023. "The Geometry of Constant Function Market Makers," Papers 2308.08066, arXiv.org.

    More about this item

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:arx:papers:2206.04634. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: arXiv administrators (email available below). General contact details of provider: http://arxiv.org/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.