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    Please use this identifier to cite or link to this item: https://nccur.lib.nccu.edu.tw/handle/140.119/60919


    Title: Reinforcement Learning in Experimental Asset Markets
    Authors: Chen,Shu-Heng;Hsieh,Yi-Lin
    陳樹衡
    Contributors: 政大經濟系
    Keywords: reinforcement learning;prediction market experiments;limit order;market order;zero intelligence
    Date: 2011
    Issue Date: 2013-09-16 16:05:39 (UTC+8)
    Abstract: In this paper, we study the learning behavior possibly emerging in six series of prediction market experiments. We first find, from the experimental outcomes, that there is a general positive correlation between subjects’ earning performance and their reliance on using limit orders to trade. We therefore focus on the subjects’ learning behavior in terms of their use of limit orders or market orders by estimating a three-parameter Roth–Erev reinforcement learning model. The results of the estimated parameters show not just their great heterogeneity, but also the sharp contrasts among subjects, which in turn impact the subjects’ earning performance.
    Relation: Eastern Economic Journal, 37, 109-133
    Data Type: article
    DOI link: http://dx.doi.org/10.1057/eej.2010.57
    DOI: 10.1057/eej.2010.57
    Appears in Collections:[Department of Economics] Periodical Articles

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