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Combinatorial Auctions without a Numeraire: The Case of Blockchain Trade-Intent Auctions

Blockchain trade intent auctions currently intermediate approximately USD 5 billion monthly. Due to production complementarities, the auction is combinatorial: when multiple trade intents from different traders are auctioned off simultaneously, a bid

Externí odkaz: http://arxiv.org/abs/2408.12225

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Measuring Arbitrage Losses and Profitability of AMM Liquidity

Autor: Fritsch, Robin, Canidio, Andrea

This paper presents the results of a comprehensive empirical study of losses to arbitrageurs (following the formalization of loss-versus-rebalancing by [Milionis et al., 2022]) incurred by liquidity providers on automated market makers (AMMs). We sho

Externí odkaz: http://arxiv.org/abs/2404.05803

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Arbitrageurs' profits, LVR, and sandwich attacks: batch trading as an AMM design response

Autor: Canidio, Andrea, Fritsch, Robin

We study a novel automated market maker design: the function maximizing AMM (FM-AMM). Our central assumption is that trades are batched before execution. Because of competition between arbitrageurs, the FM-AMM eliminates arbitrage profits (or LVR) an

Externí odkaz: http://arxiv.org/abs/2307.02074

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Auctions with Tokens: Monetary Policy as a Mechanism Design Choice

Autor: Canidio, Andrea

I study mechanism design with blockchain-based tokens, that is, tokens that can be used within a mechanism but can also be saved and traded outside of the mechanism. I do so by considering a repeated, private-value auction, in which the auctioneer ac

Externí odkaz: http://arxiv.org/abs/2301.13794

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Commitment Against Front Running Attacks

Autor: Canidio, Andrea, Danos, Vincent

We provide a game-theoretic analysis of the problem of front-running attacks. We use it to distinguish attacks from legitimate competition among honest users for having their transactions included earlier in the block. We also use it to introduce an

Externí odkaz: http://arxiv.org/abs/2301.13785

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Private-Yet-Verifiable Contact Tracing

Autor: Canidio, Andrea, Costa, Gabriele, Galletta, Letterio

We propose PrYVeCT, a private-yet-verifiable contact tracing system. PrYVeCT works also as an authorization framework allowing for the definition of fine-grained policies, which a certain facility can define and apply to better model its own access r

Externí odkaz: http://arxiv.org/abs/2010.09303

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