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Analysis of Factors Affecting Liquidity Risk of Listed Commercial Banks in China-- Based on the Panel Data Model

机译:基于面板数据模型分析影响我国商业银行流动资金风险的因素

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In this paper, 16 commercial banks listed on Shanghai and Shenzhen A-shares are selected as research samples and data from 2010 to 2019 are adopted. According to their mechanism of operation, scale of asset and etc, the research samples are divided into three groups. They are 16 listed commercial banks as a whole, 5 large state-owned listed commercial banks and 11 other medium and large listed commercial banks. The study makes an empirical analysis on the factors affecting the liquidity risk of listed commercial banks. Firstly, the factors affecting liquidity risk of listed commercial banks are divided into external and internal levels, and then descriptive analysis carried out on the factors at two levels. Then the stability of data is tested. After the data is tested, the panel data models applicable to 16 listed commercial banks as a whole, 5 large state-owned listed commercial banks and 11 other medium and large listed commercial banks are established through Hausman test and F test. The regression analysis of groups are conducted. Finally, according to regression analysis results, some reasonable recommendations are put forward.
机译:在本文中,在上海和深圳A股上市的16个商业银行被选为2010年至2019年的研究样本和数据。根据其运作机制,资产等级等,研究样品分为三组。他们是16个上市的商业银行,整体,5个大型国有上市商业银行和其他11名中型和大型上市商业银行。该研究对影响上市商业银行流动性风险的因素进行了实证分析。首先,影响上市商业银行流动资金风险的因素分为外部和内部水平,然后对两个层面的因素进行了描述性分析。然后测试数据的稳定性。测试数据后,通过Hausman Test和F测试建立,适用于16个上市商业银行的面板数据模型,5个大型国有上市商业银行和其他11名其他媒体和大型上市商业银行。进行组的回归分析。最后,根据回归分析结果,提出了一些合理的建议。

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