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Analysis of Chinese Commercial Banks' Risk Management Efficiency Based on the PCA-DEA Approach

机译:基于PCA-DEA方法的中国商业银行风险管理效率分析

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摘要

As a special type of enterprises with high risks, Chinese commercial banks' risk management plays an important role in banks' business process. Measuring and improving the risk management efficiency of the Chinese commercial banking system has recently attracted increasing interest. Previous studies analyze the business performance of commercial banks from the perspective of the overall management level of banks, and few articles focus on the risk management ability of banks. This paper evaluates the technical efficiencies of Chinese commercial banks' risk management by the DEA-BCC model with window analysis to come up with some recommendations for policy makers. The technical efficiency is then decomposed into pure technology efficiency and scale efficiency. According to the banking risk supervision indicators released by the China Banking Regulatory Commission, we choose the indicators of 26 commercial banks' risk management during the period of 2011 to 2019. Principal component analysis (PCA) is applied to delete redundant input indicators. The paper gives a dynamic evaluation of technology efficiency, pure technology efficiency, and scale efficiency. The main empirical results are as follows: (1) the technical efficiency of Chinese commercial banks' risk management is low, and the differences among three different types of banks are large. (2) The pure technology inefficiency of Chinese commercial banks' risk management has become a key factor restricting the improvement of the risk management of the Chinese banking industry. (3) The Chinese commercial banks' risk management faces a serious problem which is economies of scale. (4) The technical efficiencies of Chinese commercial banks' risk management fluctuate greatly, and management capabilities need to be enhanced urgently.
机译:作为高风险的特殊企业类型,中国商业银行的风险管理在银行业务流程中发挥着重要作用。衡量和提高中国商业银行体系的风险管理效率最近引起了越来越多的关注。以往研究从银行整体管理水平的角度分析了商业银行的经营业绩,很少有文章关注银行的风险管理能力。本文利用DEA-BCC模型对中国商业银行风险管理的技术效率进行评估,并进行窗口分析,为政策制定者提供建议。然后将技术效率分解为纯技术效率和规模效率。根据中国银监会发布的银行业风险监管指标,我们选取了2011-2019年期间26家商业银行的风险管理指标。主成分分析 (PCA) 用于删除冗余输入指示器。本文对技术效率、纯技术效率和规模效率进行了动态评价。主要实证结果如下:(1)中国商业银行风险管理技术效率较低,3种不同类型银行间差异较大。(2)中国商业银行风险管理的纯技术低效率已成为制约中国银行业风险管理水平提升的关键因素。(3)中国商业银行的风险管理面临一个严重的问题,即规模经济。(4)中国商业银行风险管理技术效率波动较大,管理能力亟待提升。

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