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Finance  2023 

退回率视角下的农业银行云南省分行信贷风险内部控制研究
Research on Credit Risk Internal Control of Yunnan Branch of Agricultural Bank of China from the Perspective of Return Rate

DOI: 10.12677/FIN.2023.133060, PP. 586-593

Keywords: 信贷风险,内部控制,退回率,农业银行云南省分行
Credit Risk
, Internal Control, Return Rate, Agricultural Bank of China Yunnan Branch

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Abstract:

经典的商业银行信贷风险内部控制研究方法缺乏微观基础。信贷业务退回率分析抓住了信贷审批中的各类具体操作问题,为信贷风险内部控制研究提供了一个更微观具体的研究视角。文章在退回率视角下,以“贷前–贷中–贷后”为主线,探讨了2021年上半年农业银行云南省分行信贷风险内部控制的问题和原因,并给出了具体的改进举措和方向。文章为商业银行内部控制研究提供了退回率分析的新的微观视角,但互联网金融科技对内部控制的冲击如何在退回率分析中体现,仍是该领域后续研究的主要内容和方向。
The classical research method of internal control of credit risk of commercial banks lacks micro foundation. The analysis of credit business return rate grasps various specific operational issues in credit approval, and provides a more microscopic and specific research perspective for the research of credit risk internal control. From the perspective of return rate, this paper discusses the problems and reasons of the internal control of credit risk of Yunnan Branch of Agricultural Bank of China in the first half of 2021, taking “pre-loan-loan-post-loan” as the main line, and gives specific improvement measures and directions. This paper provides a new micro perspective for the analysis of return rate for the research of internal control of commercial banks, but how the impact of Internet financial technology on internal control is reflected in the analysis of return rate is still the main content and direction of follow-up research in this field.

References

[1]  Arrow, K.J. (1964) The Role of Securities in the Optimal Allocation of Risk Bearing. The Review of Economic Studies, 232, 91-96.
https://doi.org/10.2307/2296188
[2]  Diamond, W. (1989) Acquisition in Debt Market. Journal of Po-litical Economy, 332, 55-64.
[3]  Guner, S. (2008) Bank Lending Opportunities and Credit Standards. Journal of Fi-nancial Stability, 224, 62-87.
https://doi.org/10.1016/j.jfs.2007.11.001
[4]  Marie-Sophie, G. (2014) Bank Characteristics and Procyclicality. A Theoretical Approach. Journal of Financial Risk Management, 7, 57-66.
https://doi.org/10.4236/jfrm.2014.33007
[5]  Lee, I. and Shin, Y.J. (2018) Fintech: Ecosystem, Business Models, Investment Decisions and Challenges. Business Horizons, 1, 35-46.
https://doi.org/10.1016/j.bushor.2017.09.003
[6]  Sutherland, A. (2018) Does Credit Reporting Lead to a Decline in Relationship Lending? Evidence from Information Sharing Technology. Journal of Accounting and Economics, 1, 123-141.
https://doi.org/10.1016/j.jacceco.2018.03.002
[7]  Jagtiani, J. and Lemieux, C. (2019) The Roles of Al-ternative Data and Machine Learning in Fintech Lending: Evidence from the Lending Club Consumer Platform. Financial Management, 4, 1009-1029.
https://doi.org/10.1111/fima.12295
[8]  王蕾, 张向丽, 池国华. 内部控制对银行信贷风险的影响——信息不对称与代理成本的中介效应[J]. 金融论坛, 2019, 24(11): 14-23.
[9]  林競, 黄志霞. 我国商业银行内部控制执行力影响因素实证研究[J]. 金融监管研究, 2012(8): 86-110.
[10]  张从海. 我国内部控制发展战略与路径选择研究[J]. 安徽工业大学学报(社会科学版), 2014, 31(4): 18-20.
[11]  刘星, 杨羚璇. 信用评级变动能反映企业真实财务信息吗?——基于财务重述的视角[J]. 金融研究, 2022(2): 98-116.
[12]  杨子晖, 陈雨恬, 张平淼. 重大突发公共事件下的宏观经济冲击、金融风险传导与治理应对[J]. 管理世界, 2020, 36(5): 41-59.
[13]  刘少波, 梁晋恒, 张友泽. 大数据技术视阈下银行信贷风险防控研究[J]. 贵州社会科学, 2020(12): 121-128.
[14]  李建, 金田林, 窦尔翔. 农村商业银行小微企业信贷治理问题研究——基于TIF视角的分析[J]. 上海金融, 2020(6): 49-55.
[15]  章梦虹. 大数据在商业银行信贷风险防控应用中存在的问题研究[J]. 时代金融, 2021(3): 59-65.
[16]  徐立平. 网络金融风险的监督模式构建[J]. 管理世界, 2014(11): 168-169.
[17]  顾恒枭. 中小企业贷款风险评估体系及控制机制研究——兼论银行信贷风险防控机制设计[J]. 区域金融研究, 2021(7): 50-57.
[18]  吴林, 韩江波. 中小银行信贷经营的困境透视及风险治理——基于供给侧结构性改革背景[J]. 福建金融, 2020(6): 3-11.

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