• 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

全球银行网络中的驱动国家

Driver Countries in Global Banking Network.

作者信息

Atyabi Farzaneh, Buchel Olha, Hedayatifar Leila

机构信息

Department of Physics, North Tehran Branch, Islamic Azad University, Tehran 1477893855, Iran.

New England Complex Systems Institute, 277 Broadway, Cambridge, MA 02139, USA.

出版信息

Entropy (Basel). 2020 Jul 23;22(8):810. doi: 10.3390/e22080810.

DOI:10.3390/e22080810
PMID:33286581
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7818103/
Abstract

We analyze the network of cross-border bank lending connections among countries from 1977 to 2018. The network includes core countries that lend money and peripheral countries that borrow money from core countries. In nowadays highly connected banking network, financial crisis that start from a country can spread to other countries very fast and cause global affects. We use principal component analysis (PCA) to find the influential lending (core) countries in this network over the years and clusters of borrowing (peripheral) countries related to these impactful core countries. We find three clusters of peripheral countries, with some constant and some changing members over time. This can be a sign of changes in the financial or political interactions among countries. The changes in the role of core countries and how these roles get affected by the important financial crisis in the past decades is investigated. Among 31 of core countries, 7 countries have a partially or constantly important role in the network including France, United Kingdom, United States, Japan, Germany, Chinese Taipei and Switzerland.

摘要

我们分析了1977年至2018年各国之间跨境银行贷款联系网络。该网络包括放贷的核心国家和从核心国家借款的外围国家。在当今高度互联的银行网络中,始于一个国家的金融危机能够非常迅速地蔓延到其他国家并造成全球影响。我们使用主成分分析(PCA)来找出这些年来该网络中有影响力的放贷(核心)国家以及与这些有影响力的核心国家相关的借款(外围)国家集群。我们发现了三类外围国家集群,其成员有些随时间保持不变,有些则发生变化。这可能是国家间金融或政治互动发生变化的一个迹象。我们研究了核心国家角色的变化以及这些角色在过去几十年中如何受到重大金融危机的影响。在31个核心国家中,有7个国家在该网络中具有部分或持续重要的作用,包括法国、英国、美国、日本、德国、中国台北和瑞士。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/de9f/7818103/b60097bb2f48/entropy-22-00810-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/de9f/7818103/debaa733208d/entropy-22-00810-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/de9f/7818103/9da5a9f56254/entropy-22-00810-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/de9f/7818103/08b4d5d6e6c4/entropy-22-00810-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/de9f/7818103/b60097bb2f48/entropy-22-00810-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/de9f/7818103/debaa733208d/entropy-22-00810-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/de9f/7818103/9da5a9f56254/entropy-22-00810-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/de9f/7818103/08b4d5d6e6c4/entropy-22-00810-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/de9f/7818103/b60097bb2f48/entropy-22-00810-g004.jpg

相似文献

1
Driver Countries in Global Banking Network.全球银行网络中的驱动国家
Entropy (Basel). 2020 Jul 23;22(8):810. doi: 10.3390/e22080810.
2
US vs. euro area: Who drives cross-border bank lending to EMs?美国与欧元区:谁推动了对新兴市场的跨境银行贷款?
J Jpn Int Econ. 2020 Sep;57:101090. doi: 10.1016/j.jjie.2020.101090. Epub 2020 Jul 11.
3
Correlation and network analysis of global financial indices.全球金融指数的相关性与网络分析
Phys Rev E Stat Nonlin Soft Matter Phys. 2012 Aug;86(2 Pt 2):026101. doi: 10.1103/PhysRevE.86.026101. Epub 2012 Aug 2.
4
Lobbying and lending by banks around the financial crisis by.银行在金融危机前后的游说与放贷行为。 (原句表述不完整,推测补充完整后翻译如上)
Public Choice. 2022;192(3-4):377-397. doi: 10.1007/s11127-022-00991-5. Epub 2022 Sep 4.
5
Research elevation of bank lending and technological innovation in the excess liquidity countries.研究流动性过剩国家银行贷款与技术创新的提升情况。
Heliyon. 2024 Jun 22;10(13):e33462. doi: 10.1016/j.heliyon.2024.e33462. eCollection 2024 Jul 15.
6
Monetary policy spillovers under COVID-19: Evidence from lending by U.S. foreign bank subsidiaries.新冠疫情下的货币政策溢出效应:来自美国外国银行子公司贷款业务的证据
J Int Money Finance. 2022 Apr;122:102550. doi: 10.1016/j.jimonfin.2021.102550. Epub 2021 Nov 13.
7
GenSo-EWS: a novel neural-fuzzy based early warning system for predicting bank failures.GenSo-EWS:一种基于神经模糊的新型银行破产预测预警系统。
Neural Netw. 2004 May;17(4):567-87. doi: 10.1016/j.neunet.2003.11.006.
8
The politics of bailouts: Estimating the causal effects of political connections on corporate bailouts during the 2008-2009 US financial crisis.救助政策的政治因素:估算2008 - 2009年美国金融危机期间政治关联对企业救助的因果效应。
Public Choice. 2021;189(1-2):213-238. doi: 10.1007/s11127-020-00871-w. Epub 2021 Feb 6.
9
The Accounting Network: How Financial Institutions React to Systemic Crisis.会计网络:金融机构对系统性危机的反应。
PLoS One. 2016 Oct 13;11(10):e0162855. doi: 10.1371/journal.pone.0162855. eCollection 2016.
10
Modifiable risk factors for prescription medicine sharing behaviours.可改变的处方药共享行为风险因素。
Res Social Adm Pharm. 2019 Feb;15(2):154-163. doi: 10.1016/j.sapharm.2018.04.005. Epub 2018 Apr 6.

本文引用的文献

1
CBOL: Cross-Bank Over-Loan Prevention, Revisited.跨银行过度贷款防范:再探讨
Entropy (Basel). 2020 Jun 3;22(6):619. doi: 10.3390/e22060619.
2
Information Transfer between Stock Market Sectors: A Comparison between the USA and China.股票市场板块间的信息传递:美国与中国的比较
Entropy (Basel). 2020 Feb 7;22(2):194. doi: 10.3390/e22020194.
3
Identifying Systemically Important Companies by Using the Credit Network of an Entire Nation.利用全国信用网络识别具有系统重要性的公司。
Entropy (Basel). 2018 Oct 16;20(10):792. doi: 10.3390/e20100792.
4
US social fragmentation at multiple scales.美国社会在多个层面上出现了碎片化。
J R Soc Interface. 2019 Oct 31;16(159):20190509. doi: 10.1098/rsif.2019.0509. Epub 2019 Oct 9.
5
Data-driven, voxel-based analysis of brain PET images: Application of PCA and LASSO methods to visualize and quantify patterns of neurodegeneration.基于数据驱动的脑 PET 图像体素分析:PCA 和 LASSO 方法在可视化和量化神经退行性变模式中的应用。
PLoS One. 2018 Nov 5;13(11):e0206607. doi: 10.1371/journal.pone.0206607. eCollection 2018.
6
Principal component analysis: a review and recent developments.主成分分析:综述与最新进展
Philos Trans A Math Phys Eng Sci. 2016 Apr 13;374(2065):20150202. doi: 10.1098/rsta.2015.0202.
7
Standardization of radiological evaluation of dynamic contrast enhanced MRI: application in breast cancer diagnosis.动态对比增强磁共振成像的放射学评估标准化:在乳腺癌诊断中的应用
Technol Cancer Res Treat. 2014 Oct;13(5):445-54. doi: 10.7785/tcrtexpress.2013.600263. Epub 2013 Aug 31.
8
Metabolic Syndrome Derived from Principal Component Analysis and Incident Cardiovascular Events: The Multi Ethnic Study of Atherosclerosis (MESA) and Health, Aging, and Body Composition (Health ABC).基于主成分分析的代谢综合征与心血管事件的相关性:动脉粥样硬化多民族研究(MESA)和健康、衰老与身体组成研究(Health ABC)。
Cardiol Res Pract. 2012;2012:919425. doi: 10.1155/2012/919425. Epub 2012 Mar 21.
9
A principal-components analysis of the Narcissistic Personality Inventory and further evidence of its construct validity.自恋人格问卷的主成分分析及其结构效度的进一步证据。
J Pers Soc Psychol. 1988 May;54(5):890-902. doi: 10.1037//0022-3514.54.5.890.