DocumentCode
2733838
Title
Event Study Approach for Validating Agent-Based Trading Simulations
Author
Cheng, Shih-Fen
Author_Institution
Sch. of Inf. Syst., Singapore Manage. Univ., Singapore, Singapore
Volume
2
fYear
2010
fDate
Aug. 31 2010-Sept. 3 2010
Firstpage
465
Lastpage
469
Abstract
In this paper, we introduce how one can validate an event-centric trading simulation platform that is built with multi-agent technology. The issue of validation is extremely important for agent-based simulations, but unfortunately, so far there is no one universal method that would work in all domains. The primary contribution of this paper is a novel combination of event-centric simulation design and event study approach for market dynamics generation and validation. In our event-centric design, the simulation is progressed by announcing news events that affect market prices. Upon receiving these events, event-aware software agents would adjust their views on the market and act accordingly. Their actions would be based on their roles and also their private information, and collectively the market dynamics will be shaped. The generated market dynamics can then be validated by a variant of the event study approach. We demonstrate how the methodology works with several numerical experiments and conclude by highlighting the practical significance of such simulation platform.
Keywords
financial data processing; multi-agent systems; software agents; stock markets; agent-based trading simulation; event study approach; event-aware software agent; event-centric simulation design; event-centric trading simulation platform; market dynamics generation; multiagent technology; Analytical models; Biological system modeling; Computational modeling; Economics; Humans; Numerical models; Security; Agent-based Computational Economy; Simulation Validation; Trading Simulation;
fLanguage
English
Publisher
ieee
Conference_Titel
Web Intelligence and Intelligent Agent Technology (WI-IAT), 2010 IEEE/WIC/ACM International Conference on
Conference_Location
Toronto, ON
Print_ISBN
978-1-4244-8482-9
Electronic_ISBN
978-0-7695-4191-4
Type
conf
DOI
10.1109/WI-IAT.2010.212
Filename
5614162
Link To Document