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題名 Stochastic dynamical model for stock-stock correlations
作者 馬文忠;胡進錕
R. E. Amritkar
貢獻者 應物所
日期 2004.08
上傳時間 29-九月-2014 15:08:27 (UTC+8)
摘要 We propose a model of coupled random walks for stock-stock correlations. The walks in the model are coupled via a mechanism that the displacement (price change) of each walk (stock) is activated by the price gradients over some underlying network. We assume that the network has two underlying structures, describing the correlations among the stocks of the whole market and among those within individual groups, respectively, each with a coupling parameter controlling the degree of correlation. The model provides the interpretation of the features displayed in the distribution of the eigenvalues for the correlation matrix of real market on the level of time sequences. We verify that such modeling indeed gives good fitting for the market data of US stocks.
關聯 Physical Review E,70,026101
資料類型 article
dc.contributor 應物所en_US
dc.creator (作者) 馬文忠;胡進錕zh_TW
dc.creator (作者) R. E. Amritkaren_US
dc.date (日期) 2004.08en_US
dc.date.accessioned 29-九月-2014 15:08:27 (UTC+8)-
dc.date.available 29-九月-2014 15:08:27 (UTC+8)-
dc.date.issued (上傳時間) 29-九月-2014 15:08:27 (UTC+8)-
dc.identifier.uri (URI) http://nccur.lib.nccu.edu.tw/handle/140.119/70185-
dc.description.abstract (摘要) We propose a model of coupled random walks for stock-stock correlations. The walks in the model are coupled via a mechanism that the displacement (price change) of each walk (stock) is activated by the price gradients over some underlying network. We assume that the network has two underlying structures, describing the correlations among the stocks of the whole market and among those within individual groups, respectively, each with a coupling parameter controlling the degree of correlation. The model provides the interpretation of the features displayed in the distribution of the eigenvalues for the correlation matrix of real market on the level of time sequences. We verify that such modeling indeed gives good fitting for the market data of US stocks.en_US
dc.format.extent 1026474 bytes-
dc.format.mimetype application/pdf-
dc.language.iso en_US-
dc.relation (關聯) Physical Review E,70,026101en_US
dc.title (題名) Stochastic dynamical model for stock-stock correlationsen_US
dc.type (資料類型) articleen