{"title":"Measuring Arbitrage Losses and Profitability of AMM Liquidity","authors":"Robin Fritsch, Andrea Canidio","doi":"arxiv-2404.05803","DOIUrl":null,"url":null,"abstract":"This paper presents the results of a comprehensive empirical study of losses\nto arbitrageurs (following the formalization of loss-versus-rebalancing by\n[Milionis et al., 2022]) incurred by liquidity on automated market makers\n(AMMs). Through a systematic comparison between historical earnings from\ntrading fees and losses to arbitrageurs, our findings indicate an insufficient\ncompensation from fees for arbitrage losses across many of the largest AMM\nliquidity pools (on Uniswap). Remarkably, we identify a higher profitability\namong less capital-efficient Uniswap v2 pools compared to their Uniswap v3\ncounterparts. Moreover, we investigate a possible LVR mitigation by quantifying\nhow arbitrage losses reduce with shorter block times. We observe notable\nvariations in the manner of decline of arbitrage losses across different\ntrading pairs. For instance, when comparing 100ms block times to Ethereum's\ncurrent 12-second block times, the decrease in losses to arbitrageurs ranges\nbetween 20% to 70%, depending on the specific trading pair.","PeriodicalId":501478,"journal":{"name":"arXiv - QuantFin - Trading and Market Microstructure","volume":"56 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-04-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"arXiv - QuantFin - Trading and Market Microstructure","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/arxiv-2404.05803","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
This paper presents the results of a comprehensive empirical study of losses
to arbitrageurs (following the formalization of loss-versus-rebalancing by
[Milionis et al., 2022]) incurred by liquidity on automated market makers
(AMMs). Through a systematic comparison between historical earnings from
trading fees and losses to arbitrageurs, our findings indicate an insufficient
compensation from fees for arbitrage losses across many of the largest AMM
liquidity pools (on Uniswap). Remarkably, we identify a higher profitability
among less capital-efficient Uniswap v2 pools compared to their Uniswap v3
counterparts. Moreover, we investigate a possible LVR mitigation by quantifying
how arbitrage losses reduce with shorter block times. We observe notable
variations in the manner of decline of arbitrage losses across different
trading pairs. For instance, when comparing 100ms block times to Ethereum's
current 12-second block times, the decrease in losses to arbitrageurs ranges
between 20% to 70%, depending on the specific trading pair.