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    题名: Agent-Based Modeling of the Prediction Markets for Political Elections
    作者: 陳樹衡
    Yu, Tongkui;Chen, Shu-Heng
    贡献者: 經濟系
    关键词: Prediction market;Agent-based simulation;Information aggregation mechanism;Prediction accuracy;Zero-intelligence agents;Favorite-longshot bias
    日期: 2012
    上传时间: 2014-03-20 16:24:07 (UTC+8)
    摘要: We propose a simple agent-based model of the political election prediction market which reflects the intrinsic feature of the prediction market as an information aggregation mechanism. Each agent has a vote, and all agents’ votes determine the election result. Some of the agents participate in the prediction market. Agents form their beliefs by observing their neighbors’ voting disposition, and trade with these beliefs by following some forms of the zero-intelligence strategy. In this model, the mean price of the market is used as a forecast of the election result. We study the effect of the radius of agents’ neighborhood and the geographical distribution of information on the prediction accuracy. In addition, we also identify one of the mechanisms which can replicate the favorite-longshot bias, a stylized fact in the prediction market. This model can then provide a framework for further analysis on the prediction market when market participants have more sophisticated trading behavior.
    關聯: Multi-Agent-Based Simulation XII Lecture Notes in Computer Science Volume 7124, 2012, pp 31-43
    数据类型: book/chapter
    显示于类别:[經濟學系] 專書/專書篇章

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