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The network structure of Chinese financemarket through the method of complex network and random matrix theory

机译:复杂网络与随机矩阵理论相结合的中国金融市场网络结构

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As we know, economic policy has a significant influence on the stock market. So, it should beinteresting to detect the relation between the correlation structure of the stock market and economicpolicy.To achieve this target, the correlationmatrix is analyzed through component analysismethod first, to detect the economic implication of the components of correlation matrix. It isfound that the biggest driving force ofmarket behavior affects the whole stock market instead ofindividual stock or plate and the evolution of important plates of the second component relatesclosely to economic policies. Then, ordinary networks, denoising networks, and noise networksare constructed for different periods and distinction among the structures of different networksin the sameperiod is analyzed. The result suggests that the economic factors corresponding to thefirst and second componentsmake the stockmarket be sensitive and lead to a gathering effect inordinary and denoising networks. At last, based on the inferences from this paper, the formationof power law in the stock network and the influence of crisis on the structure of stock networkare discussed.
机译:众所周知,经济政策对股票市场具有重大影响。因此,检测股票市场的相关结构与经济 r n政策之间的关系应该是 r n有趣的。为了实现这一目标,首先通过成分分析来分析相关矩阵 r n方法,以检测经济状况。相关矩阵的成分的含义。人们发现,市场行为的最大驱动力影响着整个股票市场,而不是单个股票或板块,而第二部分的重要板块的演变与经济政策密切相关。然后,分析了针对不同时期构造的普通网络,降噪网络和噪声网络,并分析了同一时期不同网络的结构之间的区别。结果表明,与第一和第二部分相对应的经济因素使股票市场变得敏感,并导致普通和去噪网络的聚集效应。最后,基于本文的推论,讨论了股票网络中幂律的形成以及危机对股票网络结构的影响。

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