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A Study on Shadow Banking Scale and Risk in China

机译:阴影银行规模与中国风险研究

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摘要

In this paper, the closing price of a total of 28 listed companies including 16 traditional banks and 12 shadow banks in China are selected as the study samples to construct the GARCH model and calculate the VaR values of these 28 banks of shadow banks on traditional banks. The empirical results show that risks faced by China's shadow banks are up to three times higher than those faced by traditional banks. On the other hand, as shadow banks and traditional banks are highly correlated and risks are contagious, the shadow banks will have risk spillover effects on other financial subjects. Accordingly, we should improve the shadow banking legal system and supervision framework to adapt to the financial system reform; the non-traditional credit creation mechanism within the banking system is the focus of the supervision of the shadow banking system in the future; we should adjust the financial supervision model in a timely manner and gradually change from separate supervision to comprehensive supervision; we should improve the internal control mechanism of shadow banking based on supervision improvement.
机译:在本文中,共享了总共28家上市公司,包括16家传统银行和12家中国的12个影子银行被选为研究样本,以构建加速模型,并计算在传统银行上这28家影子银行的造型造型群体的var价值。实证结果表明,中国影子银行面临的风险高出三倍高于传统银行面临的风险。另一方面,随着影子银行和传统银行的高度相关性和风险具有传染性,影子银行将对其他财务科目有风险溢出影响。因此,我们应该改善影子银行法律制度和监督框架,以适应金融体系改革;银行系统内的非传统信贷制定机制是未来阴影银行系统监督的重点;我们应及时调整金融监管模型,并从单独的监督逐步改变全面监督;基于监督改善,我们应该提高影子银行的内部控制机制。

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