Please use this identifier to cite or link to this item:
https://ah.lib.nccu.edu.tw/handle/140.119/50663
DC Field | Value | Language |
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dc.contributor | 政治大學經濟系 | en_US |
dc.creator | 陳樹衡 | zh_TW |
dc.creator | Chen, Shu-Heng ;\r\nKampouridis, Michael ;\r\nTsang, Edward | - |
dc.date | 2009.09 | en_US |
dc.date.accessioned | 2011-07-28T03:34:20Z | - |
dc.date.available | 2011-07-28T03:34:20Z | - |
dc.date.issued | 2011-07-28T03:34:20Z | - |
dc.identifier.uri | http://nccur.lib.nccu.edu.tw/handle/140.119/50663 | - |
dc.description.abstract | One of the essential features of the agent-based financial models is to show how price dynamics is affected by the evolving microstructure. Empirical work on this microstructure dynamics is, however, built upon highly simplified and unrealistic behavioral models of financial agents. Using genetic programming as a rule-inference engine and self-organizing maps as a clustering machine, we are able to reconstruct the possible underlying microstructure dynamics corresponding to the underlying asset. In light of the agent-based financial models, we further examine the microstructure both in terms of its short-term dynamics and long-term distribution. The time series of the TAIEX is employed as an illustration of the implementation of the idea. | - |
dc.language.iso | en_US | - |
dc.relation | Workshop on Multi-Agent Systems and Agent-Based Simulation - MABS , pp. 121-135 | en_US |
dc.title | Microstructure Dynamics and Agent-Based Financial Markets | en_US |
dc.type | conference | en |
dc.identifier.doi | 10.1007/978-3-642-18345-4_9 | en_US |
dc.doi.uri | http://dx.doi.org/10.1007/978-3-642-18345-4_9 | en_US |
item.fulltext | With Fulltext | - |
item.grantfulltext | open | - |
item.languageiso639-1 | en_US | - |
item.openairetype | conference | - |
item.openairecristype | http://purl.org/coar/resource_type/c_18cf | - |
item.cerifentitytype | Publications | - |
Appears in Collections: | 會議論文 |
Files in This Item:
File | Description | Size | Format | |
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18345-4_9.pdf | 515.46 kB | Adobe PDF2 | View/Open |
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