no code implementations • 15 Jun 2023 • Jason Milionis, Xin Wan, Austin Adams
To illustrate how both flow toxicity, accounting for the sophistication of the counterparty of LPs, as well as LP competitiveness, accounting for the sophistication of the competition among LPs, affect individual LP returns, we propose a quadrant interpretation where all of these characteristics may be readily visualized.
no code implementations • 24 May 2023 • Jason Milionis, Ciamac C. Moallemi, Tim Roughgarden
We consider the impact of trading fees on the profits of arbitrageurs trading against an automated marker marker (AMM) or, equivalently, on the adverse selection incurred by liquidity providers due to arbitrage.
no code implementations • 11 Aug 2022 • Jason Milionis, Ciamac C. Moallemi, Tim Roughgarden, Anthony Lee Zhang
Quantitatively, we illustrate how our model's expressions for LP returns match actual LP returns for the Uniswap v2 WETH-USDC trading pair.
no code implementations • 26 Mar 2022 • Jason Milionis, Christos Papadimitriou, Georgios Piliouras, Kelly Spendlove
We also prove a stronger result for $\epsilon$-approximate Nash equilibria: there are games such that no game dynamics can converge (in an appropriate sense) to $\epsilon$-Nash equilibria, and in fact the set of such games has positive measure.
no code implementations • 19 Feb 2022 • Jason Milionis, Alkis Kalavasis, Dimitris Fotakis, Stratis Ioannidis
We provide computationally efficient, differentially private algorithms for the classical regression settings of Least Squares Fitting, Binary Regression and Linear Regression with unbounded covariates.