Clustering Evolutionary Stock Market Model

dc.creatorWang, Jie
dc.creatorYang, Chun-Xia
dc.creatorZhou, Pei-Ling
dc.creatorJin, Ying-Di
dc.creatorZhou, Tao
dc.creatorWang, Bing-Hong
dc.date2004-12-04
dc.date.accessioned2026-07-07T03:02:29Z
dc.date.available2026-07-07T03:02:29Z
dc.descriptionAs a typical representation of complex networks studied relatively thoroughly, financial market presents some special details, such as its nonconservation and opinions spreading. In this model, agents congregate to form some clusters, which may grow or collapse with the evolution of the system. To mimic an open market, we allow some ones participate in or exit the market suggesting that the number of the agents would fluctuate. Simulation results show that the large events are frequent in the fluctuations of the stock price generated by the artificial stock market when compared with a normal process and the price return distribution is a \emph{lévy} distribution in the central part followed by an approximately exponential truncation.
dc.description9 pages, 8 figures
dc.identifierhttps://arxiv.org/abs/cond-mat/0412097
dc.identifierhttp://arxiv.org/abs/cond-mat/0412097
dc.identifierPhysica A 354, 505-517(2005)
dc.identifierdoi:10.1016/j.physa.2005.02.035
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/25410
dc.subjectOther Condensed Matter
dc.titleClustering Evolutionary Stock Market Model
dc.typetext

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