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

机译:通过复杂网络和随机矩阵理论方法的中国FirmsMarket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:正如我们所知,经济政策对股票市场产生了重大影响。所以,它应该是有趣的是检测股市与经济的相关结构与经济学之间的关系策略。要实现此目标,请通过组件分析分析相关性Matrix方法首先,检测相关矩阵组分的经济含义。这是发现,市场行为的最大驱动力会影响整个股票市场而不是个人股票或板块和第二组分重要板的演变涉及密切关注经济政策。然后,普通网络,去噪网络和噪声网络在不同网络的结构中构建不同的时期和区别在Sameperiod分析。结果表明,对应的经济因素第一和第二个组件股票市场对敏感性敏感并导致采集效果普通和去噪网络。最后,根据本文的推论,形成股票网络中权力法与危机对股票网络结构的影响讨论过。

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