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Data-Oriented Early Warning Indicators of Financial Crisis

机译:数据导向的金融危机预警指标

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摘要

Early 2007, the subprime crisis emerged in Wall Street of the United States, which gradually developed into the biggest credit crunch and credit crisis since the Great Depression in 1930s. The scale, the impact and the loss of the crisis has been far more than expectation. However, traditional warning indicators of economy are not able to reflect the financial status of credit market in crisis. By a thorough analysis of origins and impact of credit crisis, this paper showed the complexity and uncertainty of the derived financial instruments, and established a new Early Warning System (EWS) model by data mining techniques.
机译:2007年初,次贷危机在美国华尔街出现,逐渐发展成为自1930年代大萧条以来最大的信贷紧缩和信贷危机。危机的规模,影响和损失远远超出了预期。但是,传统的经济预警指标无法反映危机中信贷市场的财务状况。通过对信用危机的成因和影响进行透彻的分析,表明衍生金融工具的复杂性和不确定性,并通过数据挖掘技术建立了新的预警系统(EWS)模型。

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