数字化转型能降低银行流动性风险吗?——基于A股上市银行的实证分析
Can Digital Transformation Reduce the Liquidity Risk of Banks?—Empirical Analysis Based on A-Share Listed Banks
DOI: 10.12677/ecl.2024.133971, PDF,    科研立项经费支持
作者: 宋 浪, 刘永文:贵州大学经济学院,贵州 贵阳
关键词: 数字化转型流动性风险资本充足率随机森林模型Digital Transformation Liquidity Risk Capital Adequacy Ratio Random Forest Model
摘要: 随着数字技术的广泛应用,银行业也正进行数字化转型。本文以2010~2021年38家A股上市银行为研究样本,实证分析上市银行数字化转型对其流动性风险的影响及其作用机制。结果表明:数字化转型能降低银行流动性风险;机制分析发现,盈利能力发挥中介作用,数字化转型通过提高银行盈利能力而降低流动性风险;调节效应分析发现,资本充足率对数字化转型降低银行流动性风险有正向调节作用;异质性分析发现,银行数字化转型降低流动性风险的作用显著存在于城商行和国有行;考虑到2015年股市冲击以及2020年、2021年新冠疫情对上市银行流动性风险存在影响,通过调整样本时间区间进行稳健性检验,结果仍然成立。进一步研究发现,通过运用随机森林模型,银行的管理数字化转型对流动性风险的降低影响更大。
Abstract: With the wide application of digital technology, the banking industry is also undergoing digital transformation. Taking 38 A-share listed banks from 2010 to 2021 as research samples, this paper empirically analyzes the impact of digital transformation of listed banks on their liquidity risk and its mechanism. The results show that digital transformation can reduce the liquidity risk of banks; Mechanism analysis shows that profitability plays an intermediary role, and digital transformation reduces liquidity risk by improving bank profitability; The regulatory effect analysis shows that the capital adequacy ratio has a positive regulatory effect on reducing the liquidity risk of banks in digital transformation; Heterogeneity analysis shows that the role of digital transformation of banks in reducing liquidity risk exists significantly in city commercial banks and state-owned banks; Considering the impact of the stock market shock in 2015 and the COVID-19 epidemic in 2020 and 2021 on the liquidity risk of listed banks, the results are still valid by adjusting the sample time interval for robustness test. Further research shows that by using the stochastic forest model, the digital transformation of bank management has a greater impact on reducing liquidity risk.
文章引用:宋浪, 刘永文. 数字化转型能降低银行流动性风险吗?——基于A股上市银行的实证分析[J]. 电子商务评论, 2024, 13(3): 7913-7922. https://doi.org/10.12677/ecl.2024.133971

参考文献

[1] 余明桂, 马林, 王空. 商业银行数字化转型与劳动力需求: 创造还是破坏? [J]. 管理世界, 2022, 38(10): 212-230.
[2] 谢绚丽, 王诗卉. 中国商业银行数字化转型: 测度、进程及影响[J]. 经济学(季刊), 2022, 22(6): 1937-1956.
[3] Lapavitsas, C. and Dos Santos, P.L. (2008) Globalization and Contemporary Banking: On the Impact of New Technology. Contributions to Political Economy, 27, 31-56. [Google Scholar] [CrossRef
[4] Turk Ariss, R. (2010) On the Implications of Market Power in Banking: Evidence from Developing Countries. Journal of Banking & Finance, 34, 765-775. [Google Scholar] [CrossRef
[5] 汪可, 吴青. 金融科技对我国银行业系统性风险影响研究[J]. 管理现代化, 2018, 38(3): 112-116.
[6] 郭品, 沈悦. 互联网金融、存款竞争与银行风险承担[J]. 金融研究, 2019(8): 58-76.
[7] 吴永钢, 张晓彤, 郭静. 绿色金融对银行风险承担影响的研究——基于数字化转型的调节效应[J]. 金融监管研究, 2024(3): 100-113.
[8] Hauswald, R. and Marquez, R. (2006) Competition and Strategic Information Acquisition in Credit Markets. Review of Financial Studies, 19, 967-1000. [Google Scholar] [CrossRef
[9] 陈加才. 互联网金融对商业银行风险承担的影响研究——基于16家上市银行数据的实证[J]. 经济研究导刊, 2019(27): 67-69, 104.
[10] 王升, 李亚, 郜如明. 互联网金融对商业银行风险承担的影响研究——基于中国30家商业银行的实证分析[J]. 金融发展研究, 2021(1): 56-62.
[11] 刘慧超, 王书华. 数字化转型对中小银行风险水平影响研究[J]. 江西财经大学学报, 2023(4): 23-37.
[12] 何英, 华桂宏. 跨境资本流动对中国商业银行流动性风险的影响——兼论经济政策不确定性的调节作用[J]. 亚太经济, 2024(3): 51-62.
[13] 李硕, 侯晓辉. 流动性风险、信用风险与商业银行流动性创造[J]. 经济经纬, 2020, 37(4): 168-176.
[14] 江艇. 因果推断经验研究中的中介效应与调节效应[J]. 中国工业经济, 2022(5): 100-120.
[15] 李靖宇, 郭湘媛, 谢启伟, 郑晓龙. 基于随机森林融合的金融机构风险关联影响因素研究[J]. 系统工程理论与实践, 2024, 44(1): 296-319.