互联网银行信用风险管理研究——以浙江网商银行为例
Research on Credit Risk Management of Internet Banks—Taking Zhejiang E-Commerce Bank as an Example
摘要: 2015年,网商银行得到批准成立,标志着在区块链、人工智能、大数据和云计算等关键核心技术的底层算法研究和应用方面的技术攻关下,国内互联网银行金融踏进了起步阶段。然而由于网商银行发展时间较短正处于起步阶段,在风险管理方面存在着一定的不足。因此本文以网商银行为例,首先对网商银行的基本情况和其主要的信贷产品进行介绍;其次分析网商银行对信贷业务及客户群体的信用风险管理现状,发现尽管前几年网商银行的信用风险管理成效良好,但2023年以来逐渐暴露出其存在的一些问题。最后基于网商银行信用风险管理现状以及存在的问题提出了一些建议和对策,以期为互联网银行发展以及加强互联网金融的监管规范提供借鉴。
Abstract: In 2015, Zhejiang E-Commerce Bank was approved to be established, marking the domestic Internet banking and finance stepped into the starting stage under the technical research and application of the underlying algorithm research and application of key core technologies such as blockchain, artificial intelligence, big data and cloud computing. However, due to the short development time of Zhejiang E-Commerce Bank is in the starting stage, there are certain deficiencies in risk management. Therefore, this paper takes Zhejiang E-Commerce Bank as an example, firstly, introduces the basic situation of Internet bank and its main credit products; secondly, analyzes the current situation of Zhejiang E-Commerce Bank credit risk management for credit business and customer groups, and finds that although Zhejiang E-Commerce Bank’s credit risk management has been effective in the first few years, some of its existing problems have been gradually exposed since 2023. Finally, some suggestions and countermeasures are put forward based on the current situation of credit risk management and existing problems of Bank Zhejiang E-Commerce, with a view to providing reference for the development of Internet banks and strengthening the regulatory norms of Internet finance.
参考文献
|
[1]
|
曾圣钧, 关振球. 大湾区互联网银行发展现状与同业合作策略研究[J]. 国际金融, 2022(11): 75-80.
|
|
[2]
|
兰明业. 基于金融科技的W互联网银行信贷风险管理案例研究[D]: [硕士学位论文]. 北京: 中国财政科学研究院, 2024.
|
|
[3]
|
徐立军, 刘洋岐, 张爽, 等. 纯网络民营银行信用风险研究[J]. 时代金融, 2017(29): 135-136.
|
|
[4]
|
Arora, R. (2021) Driving Excellence in Credit Risk Management Practices in Commercial Lending—An Empirical Analysis of Indian Public Sector Banks. International Journal of Business Continuity and Risk Management, 11, 1-24. [Google Scholar] [CrossRef]
|
|
[5]
|
朱丹, 陈茜, 王皓. 对我国互联网银行信用风险管理的研究[J]. 金融经济, 2016(8): 125-126.
|
|
[6]
|
钱智通. 银行信贷互联网化的博弈行为研究——以线上个人消费信贷为例[J]. 金融监管研究, 2017(6): 95-109.
|
|
[7]
|
Manzira, F. and Bankole, F. (2018) Application of Social Media Analytics in the Banking Sector to Drive Growth and Sustainability: A Proposed Integrated Framework. 2018 Open Innovations Conference (OI), Johannesburg, 3-5 October 2018, 223-233. [Google Scholar] [CrossRef]
|
|
[8]
|
吴北. 论互联网银行业务创新的信用风险与防范[J]. 北方金融, 2019(2): 56-59.
|
|
[9]
|
杨若谦, 李晓娜, 刘磊. 利率市场化下国外银行风控模式对我国民营银行发展的借鉴与思考[J]. 价值工程, 2020, 34(27): 11-13.
|
|
[10]
|
Altman, E.I. (1968) Financial Ratios, Discriminant Analysis and the Prediction of Corporate Bankruptcy. The Journal of Finance, 23, 589-609. [Google Scholar] [CrossRef]
|
|
[11]
|
雍波. 后疫情时代的银行风险管理[J]. 重庆理工大学学报(社会科学), 2021, 35(10): 73-80.
|
|
[12]
|
Olabamiji, O. and Michael, O. (2018) Credit Management Practices and Bank Performance: Evidence from First Bank. South Asian Journal of Social Studies and Economics, 1, 1-10. [Google Scholar] [CrossRef]
|
|
[13]
|
郭敏. 新常态下商业银行信贷风险管理问题研究[J]. 价值工程, 2018, 37(6): 99-100.
|
|
[14]
|
Bussmann, N., Giudici, P., Marinelli, D. and Papenbrock, J. (2020) Explainable Machine Learning in Credit Risk Management. Computational Economics, 57, 203-216. [Google Scholar] [CrossRef]
|