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Computer Science > Distributed, Parallel, and Cluster Computing

Title: Measuring Arbitrage Losses and Profitability of AMM Liquidity

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 providers on automated market makers (AMMs). We show that those losses exceed the fees earned by liquidity providers across many of the largest AMM liquidity pools (on Uniswap). Remarkably, we also find that the Uniswap v2 pools are more profitable for passive LPs than their Uniswap v3 counterparts. We also investigate how arbitrage losses change with block times. As expected, arbitrage losses decrease when block production is faster. However, the rate of the decline varies significantly 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.
Subjects: Distributed, Parallel, and Cluster Computing (cs.DC); Trading and Market Microstructure (q-fin.TR)
Cite as: arXiv:2404.05803 [cs.DC]
  (or arXiv:2404.05803v2 [cs.DC] for this version)

Submission history

From: Robin Fritsch [view email]
[v1] Mon, 8 Apr 2024 18:06:10 GMT (731kb,D)
[v2] Mon, 22 Apr 2024 16:27:54 GMT (731kb,D)

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