REVIEW 4 cited by
Equilibrium Reward for Liquidity Providers in Automated Market Makers
Not yet reviewed by Pith; the record is open.
This paper has not been read by Pith yet. Machine review is queued; the pith claim, tier, and objections will appear here once it completes.
SPECIMEN: schema-true, not a live event
T0 review · schema-true
One-sentence machine reading of the paper's core claim.
pith:XXXXXXXX · record.json · timestamp
Signed reviews
read the original abstract
We find the equilibrium contract that an automated market maker (AMM) offers to their strategic liquidity providers (LPs) in order to maximize the order flow that gets processed by the venue. Our model is formulated as a leader-follower stochastic game, where the venue is the leader and a representative LP is the follower. We derive approximate closed-form equilibrium solutions to the stochastic game and analyze the reward structure. Our findings suggest that under the equilibrium contract, LPs have incentives to add liquidity to the pool only when higher liquidity on average attracts more noise trading. The equilibrium contract depends on the external price, the pool reference price, and the pool reserves. Our framework offers insights into AMM design for maximizing order flow while ensuring LP profitability.
Forward citations
Cited by 4 Pith papers
-
Strategic Analysis of Just-In-Time Liquidity Provision in Concentrated Liquidity Market Makers
A transaction-level optimization model shows that JIT liquidity providers on Uniswap V3 could raise profits by up to 69% by accounting for price impact, but optimized JIT activity would cut passive LP fee income by up...
-
Optimal Fees for Liquidity Provision in Automated Market Makers
Optimal AMM fees sit just below all-in CEX trading costs in normal markets, rise with volatility, and become effectively infinite (halt trading) in extreme volatility.
-
Competition and Incentives in a Shared Order Book
In a two-exchange shared order book model, incentive provision by one exchange improves liquidity for both, creating a free-rider problem that the paper claims can eliminate incentives entirely.
-
Optimal Dynamic Fees in Automated Market Makers
In a constant-function market maker, optimal dynamic fees balance arbitrage deterrence against noise-trader attraction, and a fee that is linear in inventory and external price is a near-optimal approximation.
Discussion (0). Continue with ORCID to comment.