Automated Market Makers: Mean-Variance Analysis of LPs Payoffs and Design of Pricing Functions

Philippe Bergault (bergault@ceremade.dauphine.fr), Louis Bertucci, David Bouba and Olivier Guéant
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Philippe Bergault: CMAP - Centre de Mathématiques Appliquées de l'Ecole polytechnique - Inria - Institut National de Recherche en Informatique et en Automatique - X - École polytechnique - IP Paris - Institut Polytechnique de Paris - CNRS - Centre National de la Recherche Scientifique

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Abstract: We analyze the performance of Liquidity Providers (LPs) providing liquidity to different types of Automated Market Makers (AMMs). This analysis is carried out using a mean / standard deviation viewpoint \`a la Markowitz, though based on the PnL of LPs compared to that of agents holding coins outside of AMMs. We show that LPs tend to perform poorly in a wide variety of CFMMs under realistic market conditions. We then explore an alternative AMM design in which an oracle feeds the current market exchange rate to the AMM which then quotes a bid/ask spread. This allows us to define an efficient frontier for the performance of LPs in an idealized world with perfect information and to show that the smart use of oracles greatly improves LPs' risk / return profile, even in the case of a lagged oracle.

Date: 2023-01-16
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Related works:
Journal Article: Automated market makers: mean-variance analysis of LPs payoffs and design of pricing functions (2024)
Working Paper: Automated market makers: mean-variance analysis of LPs payoffs and design of pricing functions (2023)
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