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A Regret Analysis of Bilateral Trade

Nicolo Cesa-Bianchi, Tommaso R. Cesari, Roberto Colomboni, Federico Fusco, Stefano Leonardi

Research output: Chapter in Book/Report/Conference proceedingConference Contribution (Conference Proceeding)

21 Citations (Scopus)

Abstract

Bilateral trade, a fundamental topic in economics, models the problem of intermediating between two strategic agents, a seller and a buyer, willing to trade a good for which they hold private valuations. Despite the simplicity of this problem, a classical result by Myerson and Satterthwaite (1983) affirms the impossibility of designing a mechanism that is simultaneously efficient, incentive compatible, individually rational, and budget balanced. This impossibility result fostered an intense investigation of meaningful trade-offs between these desired properties. Much work has focused on approximately efficient fixed-price mechanisms, e.g., Blumrosen and Dobzinski (2014, 2016), Colini-Baldeschi et al. (2016), which have been shown to fully characterize strong budget balanced and ex-post individually rational direct revelation mechanisms. All these results, however, either assume some knowledge on the priors of the seller/buyer valuations, or black-box access to some samples of the distributions, as in Dutting et al. (2021). In this paper, we cast for the first time the bilateral trade problem in a regret minimization framework over rounds of seller/buyer interactions, with no prior knowledge on their private valuations. Our main contribution is a complete characterization of the regret regimes for fixed-price mechanisms with different feedback models and private valuations, using as a benchmark the best fixed-price in hindsight.
Original languageEnglish
Title of host publicationEC 2021 - Proceedings of the 22nd ACM Conference on Economics and Computation
PublisherAssociation for Computing Machinery
Pages289-309
Number of pages21
ISBN (Electronic)9781450385541
DOIs
Publication statusPublished - 18 Jul 2021
Event22nd ACM Conference on Economics and Computation, EC 2021 - Virtual, Online, Hungary
Duration: 18 Jul 202123 Jul 2021

Publication series

NameEC 2021 - Proceedings of the 22nd ACM Conference on Economics and Computation

Conference

Conference22nd ACM Conference on Economics and Computation, EC 2021
Country/TerritoryHungary
CityVirtual, Online
Period18/07/2123/07/21

Bibliographical note

Publisher Copyright:
© 2021 Copyright held by the owner/author(s).

Keywords

  • online learning
  • partial monitoring.
  • posted-price mechanisms
  • Two-sided markets

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