IDEAS home Printed from https://ideas.repec.org/p/abo/neswpt/sp0001.html

Liquidity Provider Position Analysis and Pricing in Automated Market Making Systems

Author

Listed:
  • Grigoriy Korolev

    (New Economic School)

Abstract

Decentralized Finance (DeFi) has Automated Market Making (AMM) as a dominant. It allows decentralized exchanges to operate via liquidity pools. Crypto assets are traded in automatic way without any control by market makers with two types of agents: traders and liquidity providers (LPs). This paper develops a comprehensive framework for analyzing and pricing LP positions in protocol Uniswap. We demonstrate that an LP's position exhibits option-like characteristics and derive closed-form pricing formulas. Our empirical analysis of ETH-USDC returns reveals heavy-tailed distributions with significant asymmetry, indicating greater downside risk. Importantly, we show that concentrated liquidity in Uniswap V3 generates substantially higher returns compared to uniform liquidity in V2. The pricing models presented enable precise valuation of these novel financial instruments, allowing them to launch on the market.

Suggested Citation

  • Grigoriy Korolev, 2026. "Liquidity Provider Position Analysis and Pricing in Automated Market Making Systems," Working Papers sp0001, New Economic School (NES).
  • Handle: RePEc:abo:neswpt:sp0001
    as

    Download full text from publisher

    File URL: https://www.nes.ru/files/Preprints-resh/SP001.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Alfred Lehar & Christine Parlour, 2025. "Decentralized Exchange: The Uniswap Automated Market Maker," Journal of Finance, American Finance Association, vol. 80(1), pages 321-374, February.
    2. Yi He & Liang Peng & Dabao Zhang & Zifeng Zhao, 2022. "Risk Analysis via Generalized Pareto Distributions," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 40(2), pages 852-867, April.
    3. Tristan Lim, 2024. "Predictive crypto-asset automated market maker architecture for decentralized finance using deep reinforcement learning," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 10(1), pages 1-29, December.
    4. Ibragimov, Marat & Ibragimov, Rustam & Kattuman, Paul, 2013. "Emerging markets and heavy tails," Journal of Banking & Finance, Elsevier, vol. 37(7), pages 2546-2559.
    5. 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.
    6. Black, Fischer & Scholes, Myron S, 1973. "The Pricing of Options and Corporate Liabilities," Journal of Political Economy, University of Chicago Press, vol. 81(3), pages 637-654, May-June.
    7. 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. Grigoriy Korolev, 2026. "Liquidity provider position analysis and pricing in automated market making systems," Digital Finance, Springer, vol. 8(1), pages 1-28, March.
    2. Carol Alexander & Xi Chen & Jun Deng & Qi Fu, 2025. "Price Discovery and Efficiency in Uniswap Liquidity Pools," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 45(8), pages 1023-1048, August.
    3. Parvin Malekzadeh & Zissis Poulos & Jacky Chen & Zeyu Wang & Konstantinos N. Plataniotis, 2024. "EX-DRL: Hedging Against Heavy Losses with EXtreme Distributional Reinforcement Learning," Papers 2408.12446, arXiv.org, revised Aug 2024.
    4. Niccol`o Bardoscia & Alessandro Nodari, 2023. "Liquidity Providers Greeks and Impermanent Gain," Papers 2302.11942, arXiv.org, revised Mar 2023.
    5. Chu, Gang & Dowling, Michael & Li, Xiao, 2026. "Impermanent loss in cryptocurrency," Journal of International Money and Finance, Elsevier, vol. 160(C).
    6. Werner Brönnimann & Pascal Egloff & Thomas Krabichler, 2024. "Automated market makers and their implications for liquidity providers," Digital Finance, Springer, vol. 6(3), pages 573-604, September.
    7. 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.
    8. Trung H. Le, 2024. "Forecasting VaR and ES in emerging markets: The role of time‐varying higher moments," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 43(2), pages 402-414, March.
    9. Ben Abdallah, Skander & Lasserre, Pierre, 2016. "Asset retirement with infinitely repeated alternative replacements: Harvest age and species choice in forestry," Journal of Economic Dynamics and Control, Elsevier, vol. 70(C), pages 144-164.
    10. Kirill Ilinski, 1999. "How to account for virtual arbitrage in the standard derivative pricing," Papers cond-mat/9902047, arXiv.org.
    11. Zhao, Yingxue & Yang, Liu & Cheng, T.C.E. & Ma, Lijun & Shao, Xinjian, 2013. "A value-based approach to option pricing: The case of supply chain options," International Journal of Production Economics, Elsevier, vol. 143(1), pages 171-177.
    12. Tang, Cheng Yong & Chen, Song Xi, 2009. "Parameter estimation and bias correction for diffusion processes," Journal of Econometrics, Elsevier, vol. 149(1), pages 65-81, April.
    13. Eaton, Gregory W. & Green, T. Clifton & Roseman, Brian S. & Wu, Yanbin, 2026. "Retail option traders and the implied volatility surface," Journal of Financial Economics, Elsevier, vol. 177(C).
    14. Mustafa Siti Aisyah & Nor Safwan Mohd & Halim Zairihan Abdul & Zawawi Nur Haiza Muhammad, 2025. "Estimating Short-term Default Probabilities Conditional to Economic Conditions: Applications of Regularisation Approach and Economic Adjustment Coefficients," Business Systems Research, Paradigm, vol. 16(1), pages 178-197.
    15. d’Amato, Maurizio & Zrobek, Sabina & Renigier Bilozor, Malgorzata & Walacik, Marek & Mercadante, Giuseppe, 2019. "Valuing the effect of the change of zoning on underdeveloped land using fuzzy real option approach," Land Use Policy, Elsevier, vol. 86(C), pages 365-374.
    16. Audrino, Francesco & Fengler, Matthias R., 2015. "Are classical option pricing models consistent with observed option second-order moments? Evidence from high-frequency data," Journal of Banking & Finance, Elsevier, vol. 61(C), pages 46-63.
    17. Kau, James B. & Keenan, Donald C., 1999. "Patterns of rational default," Regional Science and Urban Economics, Elsevier, vol. 29(6), pages 765-785, November.
    18. Domagoj Demeterfi & Kathrin Glau & Linus Wunderlich, 2025. "Function approximations for counterparty credit exposure calculations," Papers 2507.09004, arXiv.org.
    19. Bertomeu, Jeremy & Martin, Xiumin & Sall, Ibrahima, 2024. "Measuring DeFi risk," Finance Research Letters, Elsevier, vol. 63(C).
    20. Carol Alexandra & Leonardo M. Nogueira, 2005. "Optimal Hedging and Scale Inavriance: A Taxonomy of Option Pricing Models," ICMA Centre Discussion Papers in Finance icma-dp2005-10, Henley Business School, University of Reading, revised Nov 2005.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;
    ;

    JEL classification:

    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets
    • G23 - Financial Economics - - Financial Institutions and Services - - - Non-bank Financial Institutions; Financial Instruments; Institutional Investors
    • G29 - Financial Economics - - Financial Institutions and Services - - - Other

    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:abo:neswpt:sp0001. 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: Vladimir Ivanyukhin The email address of this maintainer does not seem to be valid anymore. Please ask Vladimir Ivanyukhin to update the entry or send us the correct address (email available below). General contact details of provider: https://edirc.repec.org/data/nerasru.html .

    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.