基于多目標(biāo)決策與數(shù)據(jù)挖掘融合方法的主權(quán)信用風(fēng)險評估研究
[Abstract]:In early 2007, the U. S. outbreak of the largest subprime mortgage crisis since the century, the crisis spread rapidly to the countries of the European continent, and the early warning system, the credit evaluation system and the credit rating agencies were collectively failing in the face of the crisis. The financial innovation makes the main body of the globalization not to see any financial risks, especially the structured financial products. The global trading system has delivered the crisis to the world, covering all the institutions in the financial system. From the regional perspective, the crisis has spread rapidly from the United States to Europe, Japan and the world, presenting global and systematic features. The traditional economics theory holds that the financial crisis is more easily regulated and the financial market has a clearly mismatched emerging market country with its own economic structure, and the crisis has come from the most market-oriented United States in the financial industry. It can be seen that the complex structured financial products and the innovation of financial supervision have put forward higher requirements for the crisis early warning in the modern complex financial environment. There is no effective early-warning method for innovation-induced financial crisis, so we need to change the research thinking and find a new way to solve this old problem. The study attempts to introduce the results of the emerging cross-discipline and improve the ability of the risk of national sovereignty credit default after the outbreak of the innovative financial crisis. In view of the complexity of the subprime mortgage crisis and the characteristics of globalization, our study on the risk of national sovereignty is defined as the quantitative sequencing of the risk of national sovereignty credit default. In this paper, by means of the multi-objective decision-making method, the paper provides the method support for the national sovereignty credit default risk sorting after the innovative financial crisis; by means of the data mining technology, the national sovereignty credit default risk of the quantitative ordering is graded and evaluated. The purpose of this study is to explore the national sovereignty credit default risk identification and prevention problems arising from the globalization of the new financial crisis, to provide the scientific side of the research and avoidance of the national sovereignty credit default risk for trade and investment in the global scope Based on the above considerations, the present study includes the following First, it reviews the step-by-step development of the subprime mortgage crisis as the financial crisis The whole process, and points out the innovative finance brought about by the financial innovation of globalization and the modern complex financial products, and the new problems arising from it, put forward the research method to introduce the new cross-discipline to deal with the new problems. The second, the subprime mortgage crisis is considered a credit risk. In this paper, the related concepts of credit risk assessment model and credit rating are reviewed. The development of the secondary mortgage crisis has become the financial crisis and leads to the sovereign credit default of the national sovereignty, and points out the existing method of national sovereignty credit rating. The traditional method of econometrics has been used to predict the risk of the sovereign credit default caused by the sub-loan crisis, and it is concluded that the traditional econometrics method is not able to predict and identify the state-owned enterprises caused by the financial innovation. Third, the development of data mining and multi-objective decision-making is a new way to solve the problem of sovereign credit default. In this paper, a multi-objective risk early-warning model based on time dimension is put forward based on the combination of data mining and multi-objective decision-making methods, and the quantitative ordering of the risk of sovereign credit default is presented. The fourth, the last of the research, the quantitative ranking result of the national sovereignty credit default risk is classified and evaluated by the data mining method, and the model is sensitive by using the thought of the financial pressure test. inductive analysis and entry The results of one-step results show that the model of national sovereignty credit default risk assessment presented in this paper has a good prediction effect, and it is proved that the model has a good model by means of model test and sensitivity analysis. Robustness and stability. The risk of national sovereignty credit default is a multi-level research object involving macro and micro, the content of the study is broad and the data type is diverse, which belongs to the research field of complex system, and has not been widely accepted in the existing research. This study, as one of the exploratory studies in this field, has tried to introduce the research methods of emerging cross-disciplines into one of them, and to raise the risk of default of the ancient national sovereignty
【學(xué)位授予單位】:電子科技大學(xué)
【學(xué)位級別】:博士
【學(xué)位授予年份】:2012
【分類號】:F224;F831
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