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首页> 外文期刊>International Journal of Economics and Finance >An Empirical Study about Influence of China’s Shadow Banking on the Stability of the Financial System
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An Empirical Study about Influence of China’s Shadow Banking on the Stability of the Financial System

机译:中国影子银行对金融体系稳定性影响的实证研究

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摘要

With the rapid development of the financial system in recent years, all kinds of financial derivatives teem and the size of the shadow banking is becoming more and bigger. It has become an important factor affecting the stability of China’s financial system. The influence of shadow banks on the financial system has two sides, on the one hand it is advantageous to the development and expansion of small and medium-sized enterprises as lubricant of corporate financing, on the other hand, features of shadow banking that highly leveraged and term mismatch also bring uncertainty to China’s financial system. Firstly, this paper calculates the size of the shadow banking in China, and then builds a fuzzy comprehensive evaluation system to evaluate the risk of China’s financial system. When determining the evaluation index, this paper apply KMV model to calculate the credit risk of China’s securities market, and the maximum entropy method to determine the index weight. After getting China’s financial system risk index and the size of shadow banking, this paper constructs the VAR model and makes the parameter estimation and impulse response analysis. Analysis results show that in a certain degree, the increase of the scale of shadow banks can reduce the risk of the financial system, but if it is over some certain threshold, it will increase the overall risk of the financial system.
机译:随着近年来金融体系的快速发展,各种金融衍生品Teem和影子银行的规模变得越来越大。它已成为影响中国金融体系稳定的重要因素。影子银行对金融体系的影响有双方,一方面有利于中小型企业作为企业融资的润滑剂的开发和扩展,另一方面,影子银行的功能高度杠杆化术语不匹配也为中国的金融体系带来不确定性。首先,本文计算了中国阴影银行的大小,然后建立了一个模糊的综合评价体系,以评估中国金融体系的风险。在确定评估指标时,本文应用KMV模型来计算中国证券市场的信用风险,以及确定指数重量的最大熵方法。在获得中国的金融体系风险指数和影子银行的规模之后,本文构建了VAR模型,使参数估计和脉冲响应分析。分析结果表明,在一定程度上,阴影库等级的增加可以降低金融体系的风险,但如果它超过一些门槛,它将增加金融体系的总体风险。

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