Balanced trade reduction for dual-role exchange markets
File(s)AAAI15-Zhao.pdf (280.39 KB)
Accepted version
Author(s)
Zhao, Dengji
Ramchurn, Sarvapali D
Gerding, Enrico H
Jennings, Nicholas R
Type
Conference Paper
Abstract
We consider dual-role exchange markets, where traders can offer to both buy and sell the same commodity in the exchange but, if they transact, they can only be either a buyer or a seller, which is determined by the market mechanism. To design desirable mechanisms for such exchanges, we show that existing solutions may not be incentive compatible, and more importantly, cause the market maker to suffer a significant deficit. Hence, to combat this problem, following McAfee’s trade reduction approach, we propose a new trade reduction mechanism, called balanced trade reduction, that is incentive compatible and also provides flexible trade-offs between efficiency and deficit
Date Issued
2015-01
Date Acceptance
2015-01-25
Citation
The Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015, pp.1064-1070
ISBN
9781577357001
Publisher
AAAI Press
Start Page
1064
End Page
1070
Journal / Book Title
The Twenty-Ninth AAAI Conference on Artificial Intelligence
Volume
2
Copyright Statement
© 2015, Association for the Advancement of Artificial Intelligence (www.aaai.org). All rights reserved.
Source
The Twenty-Ninth AAAI Conference on Artificial Intelligence
Publication Status
Unpublished
Start Date
2015-01-25
Finish Date
2015-01-30
Coverage Spatial
Austin, Texas