Pools as Portfolios: Observed arbitrage efficiency & LVR analysis of dynamic weight AMMs

Battle Count: 50

Highly relevant to quantitative trading in the DeFi/crypto space. The paper directly addresses execution efficiency for portfolio rebalancing, a core concern for quantitative fund managers. It provides empirical evidence that dynamic-weight AMMs can match or exceed CEX-based rebalancing (LVR/RVR benchmarks), identifies the Dutch reverse auction mechanism as the execution engine, and quantifies how arbitrage ecosystem maturation reduces costs over time. The findings on L2 incidental routing (near-zero rebalancing cost) are particularly actionable for fund managers considering on-chain execution. The paper bridges AMM mechanics, MEV, and portfolio management.

Understanding the paper requires knowledge of G3M/AMM mechanics, no-arb bands, Dutch reverse auctions, MEV infrastructure (PBS, Flashbots), and on-chain data analysis. The empirical methodology involves scraping block-level data, matching reserve changes to transactions, constructing profitability thresholds, and computing LVR/RVR benchmarks. Implementing the analysis requires blockchain data access, understanding of Balancer V3 vault mechanics, and familiarity with multi-DEX routing. The theoretical framework (closed-form arb solutions, quadratic cost scaling) is mathematically moderate but the practical on-chain data pipeline is non-trivial.

The paper uses live on-chain data from publicly accessible blockchains (Ethereum mainnet and Base L2), and the QuantAMM protocol is operational. The methodology is described in detail including the profitability threshold formula, allocation drift metric, and LVR/RVR benchmarking approach. However, the specific scraped datasets, calibration parameters (e.g., markup mu=1.50), and exact time windows are not provided as downloadable artifacts. The closed-form optimal arbitrage trade formula references prior work [3]. Reproduction would require access to the same on-chain data and the QuantAMM protocol's Balancer V3 vault structure.