Impermanent Loss Conditions: An Analysis of Decentralized Exchange Platforms

Authors

DOI:

https://doi.org/10.5195/ledger.2026.384

Keywords:

Decentralized Finance, Decentralized Exchanges, Automated Market Makers, Platform Economics

Abstract

Decentralized exchanges are widely-used platforms for trading cryptoassets. The most fundamental and openly-accessible type of decentralized exchange is based on automated market makers (AMMs), where traders transact against asset reserves managed by smart contracts. These assets are provided by liquidity providers in exchange for a fee. Unlike traditional markets, AMMs pool liquidity from numerous retail participants, and prices are determined by publicly-known mathematical functions. Static analysis shows that small price changes in one of the assets result in losses for passive liquidity providers due to arbitrage trading. However, most existing literature focuses on static effects and does not adequately address the dynamic impact of fees from arbitrageurs over time. Therefore, we investigate the impermanent loss problem in a dynamic setting using Monte Carlo simulations. We contribute to the literature by demonstrating that arbitrage fees may constitute the primary revenue driver for passive liquidity providers. Arbitrageurs exert opposing effects on profitability: they impose rebalancing costs but generate fee revenue. For passive liquidity providers, rebalancing costs are independent of the number of arbitrage trades, while fees are directly proportional to trading volume. Consequently, increased arbitrage activity enhances the profitability of passive liquidity providers. Moreover, we show that this effect is amplified when trading barriers are low and arbitrage competition is intense. As a result, in the absence of barriers,
arbitrageurs emerge as the disproportionately predominant source of fee revenue.

References

Aigner, A., Dhaliwal, G. “UNISWAP: Impermanent Loss and Risk Profile of a Liquidity Provider.” arXiv (2021) (accessed 12 June 2026) https://arxiv.org/abs/2106.14404.

Angeris, G., Chitra, T., Evans, A. “When Does The Tail Wag The Dog? Curvature and Market Making.” Cryptoeconomic Systems 2.1 (2022) https://doi.org/10.21428/58320208.e9e6b7ce.

Angeris, G., Kao, H.-T., Chiang, R., Noyes, C., Chitra, T. “An Analysis of Uniswap Markets.” Cryptoeconomic Systems 1.1 (2021) https://doi.org/10.21428/58320208.c9738e64.

Capponi, A., Jia, R., Yu, S. “Price Discovery on Decentralized Exchanges.” The Review of Financial Studies (2026) https://doi.org/10.1093/rfs/hhag002.

Chang, S. S., Wang, F. A. “Adverse Selection and the Presence of Informed Trading.” Journal of Empirical Finance 33 19–33 (2015) https://doi.org/10.1016/j.jempfin.2015.05.005.

Clark, J. “The Replicating Portfolio of a Constant Product Market with Bounded Liquidity.” SSRN preprint https://dx.doi.org/10.2139/ssrn.3898384.

Davison, M. Quantitative Finance. Boca Raton, FL: CRC Press (2014).

Deng, J., Zong, H., Wang, Y. “Static Replication of Impermanent Loss for Concentrated Liquidity Provision in Decentralised Markets.” Operations Research Letters 51.3 206–211 (2023) https://doi.org/10.1016/j.orl.2023.03.002.

Dixit, A. K., Pindyck, R. S. Investment Under Uncertainty. Princeton, NJ: Princeton University Press (1994).

Dune Ethereum address labels (accessed 5 June 2022) https://github.com/duneanalytics/spellbook/blob/main/models/labels/addresses/infrastructure/persona/mev/labels_mev_ethereum.sql.

Dune on-chain data (accessed 5 June 2022) https://dune.com/queries/2448496?time+length_n26d66=12.

Egorov, M. “StableSwap — Efficient Mechanism for Stablecoin Liquidity.” (2019) (accessed 17 November 2021) https://classic.curve.fi/files/stableswap-paper.pdf.

Etherscan Ethereum address labels (accessed 5 June 2022) https://etherscan.io/accounts/label/mev-bot.

Evans, A. “Liquidity Provider Returns in Geometric Mean Markets.” Cryptoeconomic Systems 1.2 (2021) https://doi.org/10.21428/58320208.56ddae1b.

Fudenberg, D., Tirole, J. “Preemption and Rent Equalization in the Adoption of New Technology.” The Review of Economic Studies 52.3 383–401 (1985) https://doi.org/10.2307/2297660.

Fukasawa, M., Maire, B., Wunsch, M. “Model-Free Hedging of Impermanent Loss in Geometric Mean Market Makers with Proportional Transaction Fees.” Applied Mathematical Finance 31 108–129 (2024) https://doi.org/10.1080/1350486X.2024.2404058.

Fukasawa, M., Maire, B., Wunsch, M. “Weighted Variance Swaps Hedge against Impermanent Loss.” SSRN (2022) (accessed 12 July 2026) https://dx.doi.org/10.2139/ssrn.4095029.

Glosten, L. R., Milgrom, P. R. “Bid, Ask and Transaction Prices in a Specialist Market with Heterogeneously Informed Traders.” Journal of Financial Economics 14.1 71–100 (1985) https://doi.org/10.1016/0304-405X(85)90044-3.

Gromb, D., Vayanos, D. “Limits of Arbitrage.” Annual Review of Financial Economics 2 251–275 (2010) https://doi.org/10.1146/annurev-financial-073009-104107.

Krishnamachari, B., Feng, Q., Grippo, E. “Dynamic Curves for Decentralized Autonomous Cryptocurrency Exchanges.” In V. Gramoli, M. Saodghi (Eds.), 4th International Symposium on Foundations and Applications of Blockchain 2021 (FAB 2021) 5:1–5:14 (2021) https://doi.org/10.4230/OASIcs.FAB.2021.5.

Labadie, M. “Impermanent Loss and Slippage in Automated Market Makers (AMMs) with Constant-Product Formula.” (2022) (accessed 12 July 2026) https://dx.doi.org/10.2139/ssrn.4053924.

Lehar, A., Parlour, C. A. “Decentralized Exchange: The Uniswap Automated Market Maker.” The Journal of Finance 80.1 (2025) https://doi.org/10.1111/jofi.13405.

Milionis, J., Moallemi, C. C., Roughgarden, T. “Automated Market Making and Arbitrage Profits in the Presence of Fees.” arXiv (2023) (accessed 12 July 2026) https://doi.org/10.48550/arXiv.2305.14604.

Milionis, J., Moallemi, C. C., Roughgarden, T., Zhang, A. L. “Automated Market Making and Loss-Versus-Rebalancing.” arXiv (2023) (accessed 12 July 2026) https://doi.org/10.48550/arXiv.2208.06046.

No Author. “Bancor V3 Documentation.” Bancor (accessed 10 October 2022) https://docs.bancor.network/about-bancor-network/bancor-v3.

No Author. “DEFI Exchange.” The Block (accessed 6 October 2022) https://www.theblockcrypto.com/data/decentralized-finance/dex-non-custodial.

Oehmke, M. “Gradual Arbitrage.” SSRN (2009) (accessed 12 July 2026) http://dx.doi.org/10.2139/ssrn.1364126.

Shen, T. “DEX Volume Hits All-Time High in October as Traders Reposition Funds.” https://www.theblock.co/post/377197/dex-volume-all-time-high-october.

Takayama, S. “Price Manipulation, Dynamic Informed Trading, and the Uniqueness of Equilibrium in Sequential Trading.” Journal of Economic Dynamics and Control 125 104086 (2021) https://doi.org/10.1016/j.jedc.2021.104086.

VanticaTrading. “DeFi Impermanent Loss: The Industry’s Silent Killer.” Vantica Trading https://www.vanticatrading.com/post/defi-impermanent-loss-the-industry-s-silent-killer.

Xu, J., Paruch, K., Cousaert, S., Feng, Y. “SoK: Decentralized Exchanges (DEX) with Automated Market Maker (AMM) Protocols.” ACM Computing Surveys 55.11 1–50 (2022) https://doi.org/10.1145/3570639.

Zhang, Y., Chen, X., Park, D. “Formal Specification of Constant Product (x × y = k) Market Maker Model and Implementation.” (2018) (accessed 15 Novemeber 2023) https://github.com/runtimeverification/verified-smart-contracts/blob/uniswap/uniswap/x-y-k.pdf.

Zigrand, J.-P. “Endogenous Market Integration, Manipulation and Limits to Arbitrage.” Journal of Mathematical Economics 42.3 301–314 (2006) https://doi.org/10.1016/j.jmateco.2004.12.010.

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Published

2026-08-10

How to Cite

Hafner, M., & Dietl, H. (2026). Impermanent Loss Conditions: An Analysis of Decentralized Exchange Platforms. Ledger, 11, 7–30. https://doi.org/10.5195/ledger.2026.384

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Review Articles