Bi-directional double auction for financial market simulation

Chang, Meng, He, Minghua, Ekárt, Aniko, Luo, Xudong and Zhang, Shichao Bi-directional double auction for financial market simulation. IN: 12th International Conference on Autonomous Agents and Multiagent Systems 2013, AAMAS 2013. ACM.


Typical Double Auction (DA) models assume that trading agents are one-way traders. With this limitation, they cannot directly reflect the fact individual traders in financial markets (the most popular application of double auction) choose their trading directions dynamically. To address this issue, we introduce the Bi-directional Double Auction (BDA) market which is populated by two-way traders. Based on experiments under both static and dynamic settings, we find that the allocative efficiency of a static continuous BDA market comes from rational selection of trading directions and is negatively related to the intelligence of trading strategies. Moreover, we introduce Kernel trading strategy designed based on probability density estimation for general DA market. Our experiments show it outperforms some intelligent DA market trading strategies.

Divisions: Engineering & Applied Sciences > Computer science
Engineering & Applied Sciences > Computer science research group
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Event Title: 12th international conference on Autonomous Agents and Mult-Agent Systems 2013
Event Type: Other
Event Dates: 2013-05-06 - 2013-05-10
Uncontrolled Keywords: artificial market,double auction,Kernel,multi-agent,Artificial Intelligence


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