@inproceedings{fbb4f4eefb624ee2a2de1a7b84c24e47,

title = "Bilateral Trade with Correlated Values",

abstract = "We study the bilateral trade problem where a seller owns a single indivisible item, and a potential buyer seeks to purchase it. Previous mechanisms for this problem only considered the case where the values of the buyer and the seller are drawn from independent distributions. In contrast, this paper studies bilateral trade mechanisms when the values are drawn from a joint distribution. We prove that the buyer-offering mechanism guarantees an approximation ratio of e/e-1 ≈ 1.582 to the social welfare even if the values are drawn from a joint distribution. The buyer-offering mechanism is Bayesian incentive compatible, but the seller has a dominant strategy. We prove the buyer-offering mechanism is optimal in the sense that no Bayesian mechanism where one of the players has a dominant strategy can obtain an approximation ratio better than e/e-1. We also show that no mechanism in which both sides have a dominant strategy can provide any constant approximation to the social welfare when the values are drawn from a joint distribution. Finally, we prove some impossibility results on the power of general Bayesian incentive compatible mechanisms. In particular, we show that no deterministic Bayesian incentive-compatible mechanism can provide an approximation ratio better than 1+ln2/2≈ 1.346.",

author = "Shahar Dobzinski and Ariel Shaulker",

note = "Publisher Copyright: {\textcopyright} 2024 Owner/Author.; 56th Annual ACM Symposium on Theory of Computing, STOC 2024 ; Conference date: 24-06-2024 Through 28-06-2024",

year = "2024",

month = jun,

day = "10",

doi = "https://doi.org/10.1145/3618260.3649659",

language = "الإنجليزيّة",

series = "Proceedings of the Annual ACM Symposium on Theory of Computing",

pages = "237--246",

editor = "Bojan Mohar and Igor Shinkar and Ryan O�Donnell",

booktitle = "STOC 2024 - Proceedings of the 56th Annual ACM Symposium on Theory of Computing",

}