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        <identifier>oai:drops-oai.dagstuhl.de:27867</identifier>
        <datestamp>2026-10-02T17:40:22Z</datestamp>
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          <dc:title>Multi-Currency AMMs for Decentralized FOREX Markets: Feasibility &amp; Optimal Design</dc:title>
          <dc:creator>Li, Reina Ke Xin</dc:creator>
          <dc:creator>Park, Andreas</dc:creator>
          <dc:creator>Veneris, Andreas</dc:creator>
          <dc:creator>Singh, Srisht Fateh</dc:creator>
          <dc:subject>automated market makers</dc:subject>
          <dc:subject>decentralized finance</dc:subject>
          <dc:subject>currency foreign exchange</dc:subject>
          <dc:description>Most currency pairs lack a direct liquid market, so international foreign exchange relies on routing transactions through a dominant vehicle currency. Multi-currency automated market makers (AMMs) offer an alternative by sharing liquidity across many currency pairs, facilitating direct cross-currency trade while exploiting liquidity consolidation. This paper studies a multi-currency pool design that minimizes trading cost. Under a constant-mean AMM architecture, equilibrium trading costs reflect the trade-off between reduced price impact from consolidated liquidity and increased impermanent loss from joint return risk. This work derives closed-form costs, characterizes optimal pool weights, and shows that the optimized multi-currency pool dominates the status quo over a range of market parameters. It then formulates the system-level problem of partitioning currencies into multi-currency pools, which is solved using a hierarchical agglomerative clustering algorithm. Empirically, using exchange rate and trade data for 43 currencies over 2008-2023, the algorithm runs in 1.6 seconds and produces pools with geographic and economic structure. Notably, this reduces realized costs by 13% relative to the status quo of vehicle-currency routing, with gains stable through episodes of global financial stress.</dc:description>
          <dc:publisher>Schloss Dagstuhl – Leibniz-Zentrum für Informatik</dc:publisher>
          <dc:contributor>Reina Ke Xin Li and Andreas Park and Andreas Veneris and Srisht Fateh Singh</dc:contributor>
          <dc:date>2026</dc:date>
          <dc:relation>Is Part Of LIPIcs, Volume 395, 8th Conference on Advances in Financial Technologies (AFT 2026)</dc:relation>
          <dc:type>InProceedings</dc:type>
          <dc:type>Text</dc:type>
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          <dc:identifier>doi:10.4230/LIPIcs.AFT.2026.13</dc:identifier>
          <dc:identifier>urn:nbn:de:0030-drops-278671</dc:identifier>
          <dc:identifier>https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.AFT.2026.13</dc:identifier>
          <dc:language>eng</dc:language>
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