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央行沟通、影子银行与银行风险承担:理论模型与面板向量自回归实证检验

Central bank communication, shadow banking, and bank risk-taking: Theoretical model and PVAR empirical evidence.

机构信息

School of Finance, Shandong University of Finance and Economics, Jinan, Shandong, P.R. China.

出版信息

PLoS One. 2022 Sep 28;17(9):e0275110. doi: 10.1371/journal.pone.0275110. eCollection 2022.

Abstract

The rapid development of Chinese shadow banking, which relies on the banking system, significantly impacts nonneutral bank risk-taking. Central bank communication also plays a vital role in risk prevention and mitigation in the banking system in a modern central banking system. To address the issues of central bank communication, shadow banking, and bank risk-taking, we construct a new theoretical model that includes shadow banking based on the M-S model. Based on the central bank written communication index measured by the Monetary Policy Implementation Report 2009-2019 and balanced panel data of 35 listed banks, we design an empirical PVAR model. This study finds that central bank communication regarding domestic easing economy and policy positively affects bank risk-taking, while central bank communication and mechanism exists in China. Moreover, the growth rate of shadow banking size also positively encourages bank risk-taking. Furthermore, central bank communication regarding foreign policy is negatively related to bank risk-taking in the robustness test, supporting the above findings. The analysis of equity heterogeneity shows that the positive effect of central bank communication on bank risk-taking in shadow banking is more pronounced in small and medium-sized shareholdings. Further analyzing the economic consequences of central bank communication and shadow banking on bank risk-taking, we find that banks' risk-taking positively affects their share of noninterest income and total asset size.

摘要

中国影子银行的快速发展依赖于银行体系,这对银行的非中性风险承担有显著影响。在现代中央银行制度下,央行沟通在银行体系的风险防范和化解中也起着至关重要的作用。为了解决央行沟通、影子银行和银行风险承担的问题,我们在 M-S 模型的基础上构建了一个新的包含影子银行的理论模型。基于 2009-2019 年《货币政策执行报告》中衡量的央行书面沟通指数和 35 家上市银行的平衡面板数据,我们设计了一个实证 PVAR 模型。研究发现,央行关于国内经济宽松和政策的沟通对银行风险承担有积极影响,而央行沟通和机制在中国是存在的。此外,影子银行规模的增长率也正向鼓励银行承担风险。此外,在稳健性检验中,关于外国政策的央行沟通与银行风险承担呈负相关,支持了上述发现。股权异质性分析表明,央行沟通对影子银行中银行风险承担的积极影响在中小股东中更为明显。进一步分析央行沟通和影子银行对银行风险承担的经济后果,我们发现银行的风险承担会正向影响其非利息收入占比和总资产规模。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ced7/9518906/798f2f712086/pone.0275110.g001.jpg

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