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Growth rate of liquidity provider's wealth in G3Ms

Published 27 Mar 2024 in q-fin.MF, q-fin.PR, and q-fin.TR | (2403.18177v2)

Abstract: We study how trading fees and continuous-time arbitrage affect the profitability of liquidity providers (LPs) in Geometric Mean Market Makers (G3Ms). We use stochastic reflected diffusion processes to analyze the dynamics of a G3M model under the arbitrage-driven market. Our research focuses on calculating LP wealth and extends the findings of Tassy and White related to the constant product market maker (Uniswap v2) to a wider range of G3Ms, including Balancer. This allows us to calculate the long-term expected logarithmic growth of LP wealth, offering new insights into the complex dynamics of AMMs and their implications for LPs in decentralized finance.

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References (14)
  1. Improved price oracles: Constant function market makers. AFT ’20, page 80–91, New York, NY, USA, 2020. Association for Computing Machinery.
  2. Uniswap v2 Core, 2020.
  3. The Adoption of Blockchain-based Decentralized Exchanges. arXiv e-prints, page arXiv:2103.08842, March 2021.
  4. Alex Evans. Liquidity Provider Returns in Geometric Mean Markets. Cryptoeconomic Systems, 1(2), oct 22 2021. https://cryptoeconomicsystems.pubpub.org/pub/evans-g3m-returns.
  5. E. Robert Fernholz. Stochastic portfolio theory, volume 48 of Applications of Mathematics (New York). Springer-Verlag, New York, 2002. Stochastic Modelling and Applied Probability.
  6. Decentralized Finance & Blockchain Technology. In SIAM Financial Mathematics and Engineering 2023, Philadelphia, United States, June 2023.
  7. J. Michael Harrison. Brownian models of performance and control. Cambridge University Press, Cambridge, 2013.
  8. Charles S Kahane. On the asymptotic behavior of solutions of parabolic equations. Czechoslovak Mathematical Journal, 33(2):262–285, 1983.
  9. Stochastic portfolio theory: an overview. In Alain Bensoussan and Qiang Zhang, editors, Special Volume: Mathematical Modeling and Numerical Methods in Finance, volume 15 of Handbook of Numerical Analysis, pages 89–167. Elsevier, 2009.
  10. Balancer: A non-custodial portfolio manager, liquidity provider, and price sensor, 2019.
  11. Automated Market Making and Arbitrage Profits in the Presence of Fees. arXiv e-prints, page arXiv:2305.14604, May 2023.
  12. Automated Market Making and Loss-Versus-Rebalancing. arXiv e-prints, page arXiv:2208.06046, August 2022.
  13. An arbitrage driven price dynamics of Automated Market Makers in the presence of fees. arXiv e-prints, page arXiv:2401.01526, January 2024.
  14. Growth rate of a liquidity provider’s wealth in x⁢y=c𝑥𝑦𝑐xy=citalic_x italic_y = italic_c automated market makers, 2020.

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