Don't Let MEV Slip: The Costs of Swapping on the Uniswap Protocol
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We present the first in-depth empirical characterization of the costs of trading on a decentralized exchange (DEX). Using quoted prices from the Uniswap Labs interface for two pools -- USDC-ETH (5bps) and PEPE-ETH (30bps) -- we evaluate the efficiency of trading on DEXs. Our main tool is slippage -- the difference between the realized execution price of a trade, and its quoted price -- which we breakdown into its benign and adversarial components. We also present an alternative way to quantify and identify slippage due to adversarial reordering of transactions, which we call reordering slippage, that does not require quoted prices or mempool data to calculate. We find that the composition of transaction costs varies tremendously with the trade's characteristics. Specifically, while for small swaps, gas costs dominate costs, for large swaps price-impact and slippage account for the majority of it. Moreover, when trading PEPE, a popular 'memecoin', the probability of adversarial slippage is about 80% higher than when trading a mature asset like USDC. Overall, our results provide preliminary evidence that DEXs offer a compelling trust-less alternative to centralized exchanges for trading digital assets.
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Forward citations
Cited by 2 Pith papers
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A new discrete-time AMM model with diffusive plus jump price processes shows CEX-DEX arbitrage requires volumes comparable to major liquidity pools and produces profits on the scale of total MEV.
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The Origins of MEV: Systematic Attribution of Arbitrage Opportunity Creation at Scale
Four attribution methods applied to over one million Polygon blocks show that most atomic arbitrage MEV opportunities trace to single source transactions from a small set of protocols.
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