Automated market maker (AMM) fee rules are often evaluated by liquidity-provider (LP) welfare, but that objective mixes fee revenue, adverse-selection loss (loss-versus-rebalancing, LVR), routing response, and liquidity supply. Fixed-fee Uniswap v3 history cannot separate these channels or identify counterfactual trader-facing dynamic-fee rules. Real fee-related variation nonetheless exists: the Uniswap protocol-fee switch cut LP take-rates with tier-differentiated intensity while leaving trader-facing fees unchanged. Using a pre-specified matched-overlap event-study difference-in-differences design, we estimate the liquidity-supply response to take-rate cuts, the kernel K_L that simulator-based fee-controller evaluations routinely freeze, while reconstructing treatment, event time, unit roles, and outcomes from public logs into a frozen, hash-checked panel before any estimate. We detect no large short-run average response in active liquidity or local depth; LP participation and composition, more precisely estimated, likewise show none, so the result is a non-detection at the design's resolution rather than a precise zero. Token-1 volume and native fee income fail the parallel-trends gate and are reported descriptively. A channel-admissibility audit delimits the estimand: the LP-side response K_L is design-based, while trader-facing dynamic-fee protection is a model-conditioned boundary, not a second estimand.
Intent-based decentralized exchanges delegate execution to a competitive class of agents -- solvers -- whose behavior is shaped by protocol-designed reward rules. We measure how a change to those rules reshapes who captures value, using a governance-dated natural experiment: CoW Protocol CIP-74 (effective 8 December 20...
The Reverse Kelly Automated Market Maker (rkAMM) is introduced, the core engine of the proposed lending framework for decentralized credit and provides the foundational financial engineering required to bridge the 2 trillion global supply chain finance gap using permissionless blockchain infrastructure.
Sai Srikanth Madugula, Peplluis Esteva de la Rosa, Daya Shankar· 0 citations
The framework of loss-versus-rebalancing (LVR) is used to study how the total worst-case loss to the subsidizer is distributed across price states or over time and extended to dynamic liquidity management, showing that liquidity levels can be adjusted over time to implement a prescribed target expected cumulative loss...
C. Moallemi, D. Robinson, Brian Z. Zhu· 0 citations
Automated market makers (AMMs) are typically interpreted and evaluated as decentralized exchanges. Herein, we take the perspective envisioned by Balancer that an AMM can also be viewed as a portfolio technology that programmatically enforces an economic mandate. In particular, we follow the geometric mean market maker...
Zachary Feinstein, I. Florescu, Sean O'Leary· 0 citations
A venue-agnostic on-chain credit architecture for that capital layer and an endogenous model of its capital market are developed, showing that layered protection reduces but does not eliminate Senior loss, that 5x leverage materially increases capital pressure, and that market-maker capacity can raise aggregate shortfa...
Decentralized lending lacks a credit bureau: a borrower's capacity to repay must be inferred entirely from public on-chain activity, without income verification or a liability record. This paper presents zLend, a deployed cash-flow underwriting framework that reconstructs a wallet's daily balance history from raw token...
N. GirishG, Ashutosh Sahoo, S. Akshay et al.· 1 citation
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