Measuring Arbitrage Losses and Profitability of AMM Liquidity

Robin Fritsch, Andrea Canidio
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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.
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衡量套利损失和 AMM 流动性的盈利能力
本文介绍了对自动做市商(AMM)的流动性给套利者造成的损失(按照 Milionis 等人[Milionis et al., 2022]对损失与平衡的正式定义)进行全面实证研究的结果。通过系统比较历史交易费用收益和套利者损失,我们的研究结果表明,在许多最大的自动做市商流动性池(Uniswap)中,费用对套利损失的补偿不足。值得注意的是,与资本效率较低的 Uniswap v2 池相比,Uniswap v3 池的盈利能力更高。此外,我们还通过量化套利损失是如何随着区块时间的缩短而减少的,研究了一种可能的 LVR 缓解方法。我们观察到不同交易对的套利损失下降方式存在明显差异。例如,将 100 毫秒的区块链时间与以太坊当前的 12 秒区块链时间相比,套利者的损失减少了 20% 到 70%,这取决于具体的交易对。
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