Automated Market Makers: Mean-Variance Analysis of LPs Payoffs and Design of Pricing Functions - Archive ouverte HAL
Pré-Publication, Document De Travail Année : 2023

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

Louis Bertucci
  • Fonction : Auteur
David Bouba
  • Fonction : Auteur
Olivier Guéant
  • Fonction : Auteur

Résumé

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.

Dates et versions

hal-03941578 , version 1 (16-01-2023)

Identifiants

Citer

Philippe Bergault, Louis Bertucci, David Bouba, Olivier Guéant. Automated Market Makers: Mean-Variance Analysis of LPs Payoffs and Design of Pricing Functions. 2023. ⟨hal-03941578⟩
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