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Partially Active Automated Market Makers

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  • Sunghun Ko

Abstract

We introduce a new class of automated market maker (AMM), the \emph{partially active automated market maker} (PA-AMM). PA-AMM divides its reserves into two parts, the active and the passive parts, and uses only the active part for trading. At the top of every block, such a division is done again to keep the active reserves always being \(\lambda\)-portion of total reserves, where \(\lambda \in (0, 1]\) is an activeness parameter. We show that this simple mechanism reduces adverse selection costs, measured by loss-versus-rebalancing (LVR), and thereby improves the wealth of liquidity providers (LPs) relative to plain constant-function market makers (CFMMs). As a trade-off, the asset weights within a PA-AMM pool may deviate from their target weights implied by its invariant curve. Motivated by the optimal index-tracking problem literature, we also propose and solve an optimization problem that balances such deviation and the reduction of LVR.

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  • Sunghun Ko, 2026. "Partially Active Automated Market Makers," Papers 2602.09887, arXiv.org.
    • Handle: RePEc:arx:papers:2602.09887
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    References listed on IDEAS

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