A Structural Model of Automated Market Making
This paper proposes a model combining market microstructure and decentralized finance to assess fee impacts on AMM trading and liquidity.
What it examines
The paper introduces a structural model of Automated Market Making that bridges traditional market microstructure theory and decentralized finance. It rigorously analyzes the impact of trading fees on liquidity and trading behavior within AMM protocols, aiming to deepen understanding of fee dynamics and market efficiency.
What it concludes
The study finds that trading fees play a key role in shaping liquidity and trading patterns in AMM platforms. Results imply that better-designed fee structures can enhance market efficiency and stability. Future research could test these findings under diverse market conditions, benefiting protocol design and strategies in decentralized finance.
Evidence objects
Researchers from the University of Pennsylvania and Boston University developed a model merging market microstructure with decentralized finance, revealing small fee changes produce unforeseen effects on market makers and stability.
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Using rigorous modeling, empirical analysis, and simulations, the study introduces an analytical framework with new terminology that redefines automated market maker fee structures, guiding innovation and design in decentralized finance.
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Emphasizing that strategic fee calibration improves liquidity and efficiency, the study notes inherent model limitations from simplifications, yet delivers actionable insights for policymakers and market designers in decentralized trading sectors.
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This paper uniquely integrates classical market microstructure theory with automated market making in DeFi by rigorously modeling fee impacts on trading and liquidity. Its novel framework highlights unexplored intersections between traditional finance and decentralized systems, offering fresh insights for academics and practitioners, suggesting considerable influence on theoretical research and applications.
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Raw abstract and provenance
- … First, we bridge traditional market microstructure theory and decentralized finance by rigorously modeling the impact of fees on trading and liquidity in AMMs. Second, we …
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