印度银行业的银行风险、银行竞争和货币政策:面板分位数回归方法

K. Salva, Sunny Kumar Singh
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摘要

本研究考察了2005年至2022年间印度69家商业银行的货币政策(MP)、银行竞争和冒险行为之间的关系。据我们所知,我们的研究是第一个检验国会议员和银行竞争对印度银行冒险行为的综合和差异影响的研究。此外,我们在2019冠状病毒病危机后重新审视了这一关系,从而扩展了我们的分析。基于面板分位数回归模型,我们的主要发现表明,印度银行体系集中度的提高削弱了央行的风险承担渠道。此外,新冠肺炎危机显著影响了MP、银行竞争和银行风险之间的关系。最后,我们还发现MP和银行竞争对银行风险承担行为的影响在高风险银行和低风险银行之间存在差异。我们的研究结果对于银行风险和MP的替代措施是稳健的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
BANK RISK, BANK COMPETITION AND MONETARY POLICY IN THE INDIAN BANKING INDUSTRY: A PANEL QUANTILE REGRESSION APPROACH
This study examines the relationship between monetary policy (MP), bank competition and risk-taking behavior for 69 commercial banks in India between 2005 and 2022. To the best of our knowledge, ours is the first study to examine the combined and differential effects of MP and bank competition on the risk-taking behavior of Indian banks. Furthermore, we extend our analysis by re-examining this relationship after the COVID-19 crisis. Based on the panel quantile regression model, our main findings suggest that increased concentration in the Indian banking system weakens the risk-taking channel of MP. Furthermore, the COVID-19 crisis has significantly impacted the relationship between MP, bank competition and bank risk. Finally, we also find that the effect of MP and bank competition on banks’ risk-taking behavior differs between high- and low-risk banks. Our findings are robust to alternative measures of bank risk and MP.
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