Please use this identifier to cite or link to this item: https://ah.nccu.edu.tw/handle/140.119/64745


Title: An Order-Driven Agent-Based Artificial Stock Market to Analyze Liquidity Costs of Market Orders in the Taiwan Stock Market
Authors: 陳樹衡
Huang, Yi-Ping;Chen, Shu-Heng;Hung, Min-Chin;Yu, Tina
Contributors: 經濟系
Date: 2011
Issue Date: 2014-03-20 16:24:20 (UTC+8)
Abstract: We developed an order-driven agent-based artificial stock market to analyze the liquidity costs of market orders in the Taiwan Stock Market (TWSE). The agent-based stock market was based on the DFGIS model proposed by Daniels, Farmer, Gillemot, Iori and Smith [2]. When tested on 10 stocks and securities in the market, the model-simulated liquidity costs were higher than those of the TWSE data. We identified some possible factors that have contributed to this result: 1) the overestimated effective market order size; 2) the random market orders arrival time designed in the DFGIS model; and 3) the zero-intelligence of the artificial agents in our model. We continued improving the model so that it could be used to study liquidity costs and to devise liquidation strategies for stocks and securities traded in the Taiwan Stock Market.
Relation: Natural Computing in Computational Finance Studies in Computational Intelligence Volume 380, 2012, pp 163-179
Data Type: book/chapter
DOI 連結: http://dx.doi.org/10.1007/978-3-642-23336-4_9
Appears in Collections:[經濟學系] 專書/專書篇章

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