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Pricing and hedging for liquidity provision in Constant Function Market Making

Author

Listed:
  • Jimmy Risk
  • Shen-Ning Tung
  • Tai-Ho Wang

Abstract

This paper develops a robust mathematical framework for Constant Function Market Makers (CFMMs) by transitioning from traditional token reserve analyses to a coordinate system defined by price and intrinsic liquidity. We establish a canonical parametrization of the bonding curve that ensures dimensional consistency across diverse trading functions, such as those employed by Uniswap and Balancer, and demonstrate that asset reserves and value functions exhibit a linear dependence on this intrinsic liquidity. This linear structure facilitates a streamlined approach to arbitrage-free pricing, delta hedging, and systematic risk management. By leveraging the Carr-Madan spanning formula, we characterize Impermanent Loss (IL) as a weighted strip of vanilla options, thereby defining a fine-grained implied volatility structure for liquidity profiles. Furthermore, we provide a path-dependent analysis of IL using the last-passage time. Empirical results from Uniswap v3 ETH/USDC pools and Deribit option markets confirm a volatility smile consistent with crypto-asset dynamics, validating the framework's utility in characterizing the risk-neutral fair value of liquidity provision.

Suggested Citation

  • Jimmy Risk & Shen-Ning Tung & Tai-Ho Wang, 2026. "Pricing and hedging for liquidity provision in Constant Function Market Making," Papers 2603.01344, arXiv.org.
  • Handle: RePEc:arx:papers:2603.01344
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    References listed on IDEAS

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    1. Alex Lipton & Vladimir Lucic & Artur Sepp, 2025. "Unified approach for hedging impermanent loss of liquidity provision," Digital Finance, Springer, vol. 7(3), pages 429-477, September.
    2. Guillermo Angeris & Alex Evans & Tarun Chitra, 2023. "Replicating market makers," Digital Finance, Springer, vol. 5(2), pages 367-387, June.
    3. Shen-Ning Tung & Tai-Ho Wang, 2024. "A mathematical framework for modelling CLMM dynamics in continuous time," Papers 2412.18580, arXiv.org.
    4. Srisht Fateh Singh & Reina Ke Xin Li & Samuel Gaskin & Yuntao Wu & Jeffrey Klinck & Panagiotis Michalopoulos & Zissis Poulos & Andreas Veneris, 2025. "Modeling Loss-Versus-Rebalancing in Automated Market Makers via Continuous-Installment Options," Papers 2508.02971, arXiv.org.
    5. Jimmy Risk & Shen-Ning Tung & Tai-Ho Wang, 2025. "Dynamics of Liquidity Surfaces in Uniswap v3," Papers 2509.05013, arXiv.org.
    6. Samuel N. Cohen & Christoph Reisinger & Sheng Wang, 2020. "Detecting and repairing arbitrage in traded option prices," Papers 2008.09454, arXiv.org.
    7. Masaaki Fukasawa & Basile Maire & Marcus Wunsch, 2023. "Weighted variance swaps hedge against impermanent loss," Quantitative Finance, Taylor & Francis Journals, vol. 23(6), pages 901-911, June.
    8. Guillermo Angeris & Tarun Chitra, 2020. "Improved Price Oracles: Constant Function Market Makers," Papers 2003.10001, arXiv.org, revised Jun 2020.
    9. Egami, Masahiko & Kevkhishvili, Rusudan, 2025. "On decomposition of the last passage time of diffusions," Stochastic Processes and their Applications, Elsevier, vol. 182(C).
    10. Samuel N. Cohen & Christoph Reisinger & Sheng Wang, 2020. "Detecting and Repairing Arbitrage in Traded Option Prices," Applied Mathematical Finance, Taylor & Francis Journals, vol. 27(5), pages 345-373, September.
    11. Maxim Bichuch & Zachary Feinstein, 2025. "The Price of Liquidity: Implied Volatility of Automated Market Maker Fees," Papers 2509.23222, arXiv.org.
    12. Agostino Capponi & Ruizhe Jia, 2021. "The Adoption of Blockchain-based Decentralized Exchanges," Papers 2103.08842, arXiv.org, revised Jul 2021.
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