• 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

风险、不确定性与杠杆作用。

Risk, uncertainty, and leverage.

作者信息

Istiak Khandokar, Serletis Apostolos

机构信息

Department of Economics and Finance, University of South Alabama Mobile, Alabama, 36688, USA.

Department of Economics, University of Calgary Calgary, Alberta, T2N 1N4, USA.

出版信息

Econ Model. 2020 Sep;91:257-273. doi: 10.1016/j.econmod.2020.06.010. Epub 2020 Jun 26.

DOI:10.1016/j.econmod.2020.06.010
PMID:32834331
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7317297/
Abstract

Using mostly theoretical models and traditional risk/uncertainty measures (VIX index, panic, precaution, scary bad news, etc.), the current literature tries to clarify the risk/uncertainty-deleveraging pattern. The findings are not sufficient to explain the dynamic empirical relationship between modern risk/uncertainty indicators and leverage. We fill this gap in the literature by using US quarterly data, from 1985:1 to 2018:4, Granger causality tests, and a structural vector autoregression model. We find that commercial bank leverage rises when geopolitical risk and macroeconomic, policy, and equity uncertainty increase. Client-based business relationships of banks and high government borrowing from banks during crises periods are responsible for this relationship. We find that the leverage of broker-dealers and shadow banks declines when Chicago risk and macroeconomic, policy, financial, and equity uncertainty increase. We argue that the vulnerability of broker-dealers and shadow banks to the risk/uncertainty of the entire market system is responsible for this relationship.

摘要

当前的文献大多使用理论模型和传统的风险/不确定性度量方法(波动率指数、恐慌情绪、预防措施、可怕的坏消息等)来试图阐明风险/不确定性与去杠杆化的模式。这些研究结果不足以解释现代风险/不确定性指标与杠杆率之间的动态实证关系。我们利用1985年第1季度至2018年第4季度的美国季度数据、格兰杰因果检验以及结构向量自回归模型填补了文献中的这一空白。我们发现,当地缘政治风险以及宏观经济、政策和股市不确定性增加时,商业银行的杠杆率会上升。银行基于客户的业务关系以及危机期间政府大量从银行借款是造成这种关系的原因。我们发现,当芝加哥风险以及宏观经济、政策、金融和股市不确定性增加时,经纪交易商和影子银行的杠杆率会下降。我们认为,经纪交易商和影子银行对整个市场系统的风险/不确定性较为脆弱是造成这种关系的原因。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8377/7317297/7c65cb6fa22a/gr18_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8377/7317297/42c0f0893082/gr1_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8377/7317297/f81942775aae/gr2_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8377/7317297/9193def9473a/gr3_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8377/7317297/eb63d7abd152/gr4_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8377/7317297/781e2180703e/gr5_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8377/7317297/e78ae1a5ef52/gr6_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8377/7317297/1b452abbcb73/gr7_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8377/7317297/eb00bf823359/gr8_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8377/7317297/35b5e756af90/gr9_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8377/7317297/c6cc43f1f630/gr10_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8377/7317297/3aa03fda4e05/gr11_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8377/7317297/d7cd669cd703/gr12_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8377/7317297/cf5e00e8bbc7/gr13_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8377/7317297/b8ae0621d0f9/gr14_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8377/7317297/b45e8d9c3aa8/gr15_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8377/7317297/ea2dffe486aa/gr16_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8377/7317297/4933fd34083c/gr17_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8377/7317297/7c65cb6fa22a/gr18_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8377/7317297/42c0f0893082/gr1_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8377/7317297/f81942775aae/gr2_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8377/7317297/9193def9473a/gr3_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8377/7317297/eb63d7abd152/gr4_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8377/7317297/781e2180703e/gr5_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8377/7317297/e78ae1a5ef52/gr6_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8377/7317297/1b452abbcb73/gr7_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8377/7317297/eb00bf823359/gr8_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8377/7317297/35b5e756af90/gr9_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8377/7317297/c6cc43f1f630/gr10_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8377/7317297/3aa03fda4e05/gr11_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8377/7317297/d7cd669cd703/gr12_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8377/7317297/cf5e00e8bbc7/gr13_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8377/7317297/b8ae0621d0f9/gr14_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8377/7317297/b45e8d9c3aa8/gr15_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8377/7317297/ea2dffe486aa/gr16_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8377/7317297/4933fd34083c/gr17_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8377/7317297/7c65cb6fa22a/gr18_lrg.jpg

相似文献

1
Risk, uncertainty, and leverage.风险、不确定性与杠杆作用。
Econ Model. 2020 Sep;91:257-273. doi: 10.1016/j.econmod.2020.06.010. Epub 2020 Jun 26.
2
Asia-Pacific stock market return and volatility in the uncertain world: Evidence from the nonlinear autoregressive distributed lag approach.亚太地区股票市场收益与波动在不确定世界中的表现:来自非线性自回归分布滞后方法的证据。
PLoS One. 2023 May 5;18(5):e0285279. doi: 10.1371/journal.pone.0285279. eCollection 2023.
3
Evaluating the impact of uncertainty and risk on the operational efficiency of credit business of commercial banks in China based on dynamic network DEA and Malmquist Index Model.基于动态网络DEA和Malmquist指数模型评估不确定性和风险对中国商业银行信贷业务运营效率的影响
Heliyon. 2023 Dec 2;10(1):e22850. doi: 10.1016/j.heliyon.2023.e22850. eCollection 2024 Jan 15.
4
Uncertainty and bank risk in an emerging market: The moderating role of business models.新兴市场中的不确定性与银行风险:商业模式的调节作用。
PLoS One. 2024 Feb 15;19(2):e0297973. doi: 10.1371/journal.pone.0297973. eCollection 2024.
5
Economic policy uncertainty, investor sentiment and financial stability-an empirical study based on the time varying parameter-vector autoregression model.经济政策不确定性、投资者情绪与金融稳定——基于时变参数向量自回归模型的实证研究
J Econ Interact Coord. 2022;17(3):779-799. doi: 10.1007/s11403-021-00342-5. Epub 2021 Dec 28.
6
Central bank communication, shadow banking, and bank risk-taking: Theoretical model and PVAR empirical evidence.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
PLoS One. 2022 Sep 28;17(9):e0275110. doi: 10.1371/journal.pone.0275110. eCollection 2022.
7
Recurrent Financial Crises and the U.S. Federal Reserve: Bubbles and Blisters.周期性金融危机与美国联邦储备委员会:泡沫与水疱
Nonlinear Dynamics Psychol Life Sci. 2024 Apr;28(2):301-318.
8
Assessing the impact of macroeconomic uncertainties on bank stability: Insights from ASEAN-8 countries.评估宏观经济不确定性对银行稳定性的影响:来自东盟八国的见解。
Heliyon. 2024 May 22;10(11):e31711. doi: 10.1016/j.heliyon.2024.e31711. eCollection 2024 Jun 15.
9
Shadow Banks and the Collateral Multiplier.影子银行与抵押乘数。
East Econ J. 2023;49(2):156-175. doi: 10.1057/s41302-022-00224-z. Epub 2022 Jul 18.
10
Energy market uncertainty and the impact on the crude oil prices.能源市场的不确定性及其对原油价格的影响。
J Environ Manage. 2021 Nov 15;298:113403. doi: 10.1016/j.jenvman.2021.113403. Epub 2021 Aug 6.

引用本文的文献

1
Financial uncertainty and interest rate movements: is Asian bond market volatility different?金融不确定性与利率变动:亚洲债券市场的波动性是否不同?
Ann Oper Res. 2021 Nov 1:1-29. doi: 10.1007/s10479-021-04314-7.