Towards Optimal Prior-Free Permissionless Rebate Mechanisms, with applications to Automated Market Makers & Combinatorial Orderflow Auctions
Bruno Mazorra, Nicol\'as Della Penna

TL;DR
This paper proposes a formal framework for fair compensation of users affected by MEV in blockchain systems, utilizing rebate mechanisms and auctions to reduce block producer influence, with applications to AMMs and orderflow auctions.
Contribution
It introduces a novel, prior-free, permissionless rebate mechanism framework for MEV compensation, applicable to automated market makers and combinatorial orderflow auctions.
Findings
Shapley value offers a fair solution for MEV compensation
Rebate mechanisms can mitigate MEV extraction
Applications to AMMs and orderflow auctions demonstrate effectiveness
Abstract
Maximal Extractable Value (MEV) has become a critical issue for blockchain ecosystems, as it enables validators or block proposers to extract value by ordering, including or censoring users' transactions. This paper aims to present a formal approach for determining the appropriate compensation for users whose transactions are executed in bundles, as opposed to individually. We explore the impact of MEV on users, discuss the Shapley value as a solution for fair compensation, and delve into the mechanisms of MEV rebates and auctions as a means to undermine the power of the block producer.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Code & Models
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsAuction Theory and Applications · Blockchain Technology Applications and Security · Game Theory and Applications
