IDEAS home Printed from https://ideas.repec.org/p/arx/papers/2401.07689.html
   My bibliography  Save this paper

Impermanent Loss Conditions: An Analysis of Decentralized Exchange Platforms

Author

Listed:
  • Matthias Hafner
  • Helmut Dietl

Abstract

Decentralized exchanges are widely used platforms for trading crypto assets. The most common types work with automated market makers (AMM), allowing traders to exchange assets without needing to find matching counterparties. Thereby, traders exchange against asset reserves managed by smart contracts. These assets are provided by liquidity providers in exchange for a fee. Static analysis shows that small price changes in one of the assets can result in losses for liquidity providers. Despite the success of AMMs, it is claimed that liquidity providers often suffer losses. However, the literature does not adequately consider the dynamic effects of fees over time. Therefore, we investigate the impermanent loss problem in a dynamic setting using Monte Carlo simulations. Our findings indicate that price changes do not necessarily lead to losses. Fees paid by traders and arbitrageurs are equally important. In this respect, we can show that an arbitrage-friendly environment benefits the liquidity provider. Thus, we suggest that AMM developers should promote an arbitrage-friendly environment rather than trying to prevent arbitrage.

Suggested Citation

  • Matthias Hafner & Helmut Dietl, 2024. "Impermanent Loss Conditions: An Analysis of Decentralized Exchange Platforms," Papers 2401.07689, arXiv.org, revised Feb 2024.
  • Handle: RePEc:arx:papers:2401.07689
    as

    Download full text from publisher

    File URL: http://arxiv.org/pdf/2401.07689
    File Function: Latest version
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Andreas A. Aigner & Gurvinder Dhaliwal, 2021. "UNISWAP: Impermanent Loss and Risk Profile of a Liquidity Provider," Papers 2106.14404, arXiv.org.
    Full references (including those not matched with items on IDEAS)

    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. Bruno Mazorra & Victor Adan & Vanesa Daza, 2022. "Do not rug on me: Zero-dimensional Scam Detection," Papers 2201.07220, arXiv.org.
    2. Niccol`o Bardoscia & Alessandro Nodari, 2023. "Liquidity Providers Greeks and Impermanent Gain," Papers 2302.11942, arXiv.org, revised Mar 2023.
    3. Bertomeu, Jeremy & Martin, Xiumin & Sall, Ibrahima, 2024. "Measuring DeFi risk," Finance Research Letters, Elsevier, vol. 63(C).
    4. Tobias Bitterli & Fabian Schar, 2023. "Decentralized Exchanges: The Profitability Frontier of Constant Product Market Makers," Papers 2302.05219, arXiv.org, revised Mar 2023.
    5. 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.
    6. Jun Deng & Hua Zong & Yun Wang, 2022. "Static Replication of Impermanent Loss for Concentrated Liquidity Provision in Decentralised Markets," Papers 2205.12043, arXiv.org, revised Mar 2023.
    7. Thomas N. Cintra & Maxwell P. Holloway, 2023. "Detecting Depegs: Towards Safer Passive Liquidity Provision on Curve Finance," Papers 2306.10612, arXiv.org.
    8. Neelesh Tiruviluamala & Alexander Port & Erik Lewis, 2022. "A General Framework for Impermanent Loss in Automated Market Makers," Papers 2203.11352, 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:2401.07689. 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.