• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

探究印度尼西亚银行业货币政策、宏观审慎政策与信用风险之间的关系。

Investigating the relationship between monetary policy, macro-prudential policy and credit risk in Indonesia banking industry.

作者信息

Anwar Cep Jandi, Suhendra Indra, Purwanda Eka, Salim Agus, Rakhmawati Nur Annisa, Jie Ferry

机构信息

Department of Economics, Faculty of Economics and Business, University of Sultan Ageng Tirtayasa, Banten, 42118, Indonesia.

STIE STEMBI, Bandung Business School, Bandung, Indonesia.

出版信息

Heliyon. 2023 Jul 17;9(7):e18229. doi: 10.1016/j.heliyon.2023.e18229. eCollection 2023 Jul.

DOI:10.1016/j.heliyon.2023.e18229
PMID:37519658
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10375795/
Abstract

Using a novel panel data set we study the influence of monetary and macro-prudential policies on non-performing loans as a measure of credit risk in Indonesian banking industry from Q1 2010 to Q4 2022. The panel homogeneity assumption was verified through the utilization of the Chow and Roy-Zellner tests. The findings showed that the model was not homogenous, necessitating the use of the Pooled Mean Group (PMG) estimator. The results indicated that monetary and macro-prudential policies significantly impacted credit risk. Furthermore, tight monetary and macro-prudential policies increased and reduced credit risk in the long run, respectively. The findings also showed that a loosening monetary policy reduced credit risk in the short run. Therefore, higher authorities must establish effective monetary and macro-prudential policies to reduce the non-performing loan ratio and maintain credit risk in Indonesia's banking industry.

摘要

利用一个全新的面板数据集,我们研究了2010年第一季度至2022年第四季度期间,货币和宏观审慎政策对印度尼西亚银行业不良贷款的影响,以此作为信用风险的衡量指标。通过运用Chow检验和Roy-Zellner检验对面板同质性假设进行了验证。结果表明该模型并非同质,因此有必要使用聚合平均组(PMG)估计量。结果显示,货币和宏观审慎政策对信用风险有显著影响。此外,从长期来看,紧缩的货币和宏观审慎政策分别增加和降低了信用风险。研究结果还表明,宽松的货币政策在短期内降低了信用风险。因此,上级当局必须制定有效的货币和宏观审慎政策,以降低不良贷款率并维持印度尼西亚银行业的信用风险。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9a90/10375795/b942550be400/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9a90/10375795/b942550be400/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9a90/10375795/b942550be400/gr1.jpg

相似文献

1
Investigating the relationship between monetary policy, macro-prudential policy and credit risk in Indonesia banking industry.探究印度尼西亚银行业货币政策、宏观审慎政策与信用风险之间的关系。
Heliyon. 2023 Jul 17;9(7):e18229. doi: 10.1016/j.heliyon.2023.e18229. eCollection 2023 Jul.
2
Allocation of Credit Resources and "Borrow to Lend" Activities: Evidence From Chinese-Listed Companies.信贷资源配置与“借转贷”行为:来自中国上市公司的证据
Front Psychol. 2022 Mar 31;13:856056. doi: 10.3389/fpsyg.2022.856056. eCollection 2022.
3
Does country risk impact the banking sectors' non-performing loans? Evidence from BRICS emerging economies.国家风险会影响银行业的不良贷款吗?来自金砖国家新兴经济体的证据。
Financ Innov. 2023;9(1):86. doi: 10.1186/s40854-023-00494-2. Epub 2023 May 7.
4
Banks' credit risk, systematic determinants and specific factors: recent evidence from emerging markets.银行的信用风险、系统性决定因素和特定因素:来自新兴市场的最新证据。
Heliyon. 2022 Feb 15;8(2):e08960. doi: 10.1016/j.heliyon.2022.e08960. eCollection 2022 Feb.
5
Did the policy responses influence credit and business cycle co-movement during the COVID-19 crisis? Evidence from Indonesia.政策应对措施是否在新冠疫情危机期间影响了信贷与商业周期的协同变动?来自印度尼西亚的证据。
Econ Anal Policy. 2023 Jun;78:243-255. doi: 10.1016/j.eap.2023.02.007. Epub 2023 Mar 5.
6
Firm-level trade credit responses to COVID-19-induced monetary and fiscal policies: International evidence.企业层面贸易信贷对新冠疫情引发的货币和财政政策的反应:国际证据
Res Int Bus Finance. 2022 Apr;60:101568. doi: 10.1016/j.ribaf.2021.101568. Epub 2021 Oct 29.
7
Research on Monetary Policy Implementation and Industrial Structure Transformation Under COVID-19-Evidence From Eight Economic Zones in Mainland China.新冠疫情下货币政策实施与产业结构转型研究——来自中国内地八大经济区的证据。
Front Public Health. 2022 May 20;10:865699. doi: 10.3389/fpubh.2022.865699. eCollection 2022.
8
Investigating the monetary policy risk channel based on the dynamic stochastic general equilibrium model: Empirical evidence from Iran.基于动态随机一般均衡模型的货币政策风险渠道研究:来自伊朗的经验证据。
PLoS One. 2023 Oct 5;18(10):e0291934. doi: 10.1371/journal.pone.0291934. eCollection 2023.
9
The impact of COVID-19 pandemic on transmission of monetary policy to financial markets.新冠疫情对货币政策向金融市场传导的影响。
Int Rev Financ Anal. 2021 Mar;74:101705. doi: 10.1016/j.irfa.2021.101705. Epub 2021 Feb 6.
10
Renewable energy and non-renewable energy consumption: assessing the asymmetric role of monetary policy uncertainty in energy consumption.可再生能源和不可再生能源消费:评估货币政策不确定性在能源消费中的不对称作用。
Environ Sci Pollut Res Int. 2021 Jun;28(24):31575-31584. doi: 10.1007/s11356-021-12867-0. Epub 2021 Feb 19.

本文引用的文献

1
Banks' credit risk, systematic determinants and specific factors: recent evidence from emerging markets.银行的信用风险、系统性决定因素和特定因素:来自新兴市场的最新证据。
Heliyon. 2022 Feb 15;8(2):e08960. doi: 10.1016/j.heliyon.2022.e08960. eCollection 2022 Feb.
2
Macroprudential policy and the probability of a banking crisis.宏观审慎政策与银行业危机的可能性。
J Policy Model. 2020 Nov-Dec;42(6):1169-1186. doi: 10.1016/j.jpolmod.2020.05.007. Epub 2020 Jul 6.