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Modeling the Dependence Structure of Share Prices among Three Chinese City Banks

机译:中国三大城市银行之间的股价依存结构建模

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We study the dependence structure of share price returns among the Beijing Bank, Ningbo Bank, and Nanjing Bank using copula models. We use the normal, Student’s t, rotated Gumbel, and symmetrized Joe-Clayton (SJC) copula models to estimate the underlying dependence structure in two periods: one covering the global financial crisis and the other covering the domestic share market crash in China. We show that Beijing Bank is less dependent on the other two city banks than Nanjing Bank, which is dependent on the other two in share price extreme returns. We also observe a major decrease of dependency from 2007 to 2018 in three one-to-one dependence structures. Interestingly, contrary to recent literatures, Ningbo Bank and Nanjing Bank tend to be more dependent on each other in positive returns than in negative returns during the past decade. We also show the dynamic dependence structures among three city banks using time-varying copula.
机译:我们使用copula模型研究了北京银行,宁波银行和南京银行之间的股价收益依存关系结构。我们使用普通的,Student t,旋转的Gumbel和对称的Joe-Clayton(SJC)copula模型来估计两个阶段的潜在依存关系结构:一个涵盖全球金融危机,另一个涵盖中国国内股市崩盘。我们发现,与南京银行相比,北京银行对其他两家城市银行的依赖程度要低,而南京银行对股价极端收益的依赖程度则取决于南京银行。我们还观察到从2007年到2018年,在三个一对一的依存结构中,依存度显着下降。有趣的是,与最近的文献相反,在过去的十年中,宁波银行和南京银行在正收益上比在负收益上更相互依赖。我们还显示了使用时变copula的三个城市银行之间的动态依赖结构。

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