Market Resilience Unveiled: Insights from Quantile Time Frequency Connectedness into Emerging Countries Stock Indices

IF 4 3区 经济学 Q1 ECONOMICS
İhsan Erdem Kayral, Melike Aktaş Bozkurt, Sahar Loukil, Ahmed Jeribi
{"title":"Market Resilience Unveiled: Insights from Quantile Time Frequency Connectedness into Emerging Countries Stock Indices","authors":"İhsan Erdem Kayral, Melike Aktaş Bozkurt, Sahar Loukil, Ahmed Jeribi","doi":"10.1007/s13132-024-02188-1","DOIUrl":null,"url":null,"abstract":"<p>This study provides an in-depth analysis of the dynamic connectedness among BRICS-plus stock indices, focusing on three distinct periods: pre-COVID-19 era, during the COVID-19 pandemic, and the Russia-Ukraine conflict. Utilizing the Quantile Vector Autoregressive (QVAR) connectivity approach, our methodology starts with the median quantile and systematically expands to various quantiles. This systematic progression allows us to comprehensively examine the temporal risk characteristics and interconnections across specific quantiles, enhancing our understanding through frequency domain analysis. Our findings reveal significant changes in the total connectedness index (TCI) and the roles of individual indices as either net transmitters or receivers of shocks during different crises. Particularly noteworthy is the resilience demonstrated by indices such as JTOPI, BVSP, TASI, and RTSI against risk transmission amidst the pandemic. Conversely, during the Russia-Ukraine conflict, BSE30, JTOPI, and ADX exhibited varying level of resilience. These insights underscore the sensitivity of financial markets to geopolitical events and highlight the importance of tailored risk management and investment strategies. The implications of our study are crucial for financial entities and policymakers aiming to optimize frameworks for market stability and risk mitigation in the face of global crises.</p>","PeriodicalId":47435,"journal":{"name":"Journal of the Knowledge Economy","volume":"23 1","pages":""},"PeriodicalIF":4.0000,"publicationDate":"2024-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of the Knowledge Economy","FirstCategoryId":"96","ListUrlMain":"https://doi.org/10.1007/s13132-024-02188-1","RegionNum":3,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ECONOMICS","Score":null,"Total":0}
引用次数: 0

Abstract

This study provides an in-depth analysis of the dynamic connectedness among BRICS-plus stock indices, focusing on three distinct periods: pre-COVID-19 era, during the COVID-19 pandemic, and the Russia-Ukraine conflict. Utilizing the Quantile Vector Autoregressive (QVAR) connectivity approach, our methodology starts with the median quantile and systematically expands to various quantiles. This systematic progression allows us to comprehensively examine the temporal risk characteristics and interconnections across specific quantiles, enhancing our understanding through frequency domain analysis. Our findings reveal significant changes in the total connectedness index (TCI) and the roles of individual indices as either net transmitters or receivers of shocks during different crises. Particularly noteworthy is the resilience demonstrated by indices such as JTOPI, BVSP, TASI, and RTSI against risk transmission amidst the pandemic. Conversely, during the Russia-Ukraine conflict, BSE30, JTOPI, and ADX exhibited varying level of resilience. These insights underscore the sensitivity of financial markets to geopolitical events and highlight the importance of tailored risk management and investment strategies. The implications of our study are crucial for financial entities and policymakers aiming to optimize frameworks for market stability and risk mitigation in the face of global crises.

Abstract Image

市场复原力揭开面纱:新兴国家股票指数的量化时间频率关联性透视
本研究深入分析了 "金砖五国+"股票指数之间的动态关联性,重点关注三个不同时期:前 COVID-19 时代、COVID-19 大流行期间以及俄罗斯-乌克兰冲突期间。利用量值矢量自回归(QVAR)连通性方法,我们的方法从中位数量值开始,系统地扩展到各个量值。这种系统性的渐进方法使我们能够全面考察特定量级的时间风险特征和相互联系,并通过频域分析加深我们的理解。我们的研究结果表明,在不同危机期间,总关联指数(TCI)和单个指数作为冲击的净传播者或接收者的角色发生了重大变化。尤其值得注意的是,在大流行病期间,JTOPI、BVSP、TASI 和 RTSI 等指数表现出了抵御风险传播的弹性。相反,在俄乌冲突期间,上证 30 指数、JTOPI 指数和 ADX 指数则表现出不同程度的弹性。这些见解凸显了金融市场对地缘政治事件的敏感性,并强调了有针对性的风险管理和投资策略的重要性。我们研究的意义对于金融实体和政策制定者来说至关重要,他们的目标是在全球危机面前优化市场稳定和风险缓解框架。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
CiteScore
5.90
自引率
27.30%
发文量
228
期刊介绍: In the context of rapid globalization and technological capacity, the world’s economies today are driven increasingly by knowledge—the expertise, skills, experience, education, understanding, awareness, perception, and other qualities required to communicate, interpret, and analyze information. New wealth is created by the application of knowledge to improve productivity—and to create new products, services, systems, and process (i.e., to innovate). The Journal of the Knowledge Economy focuses on the dynamics of the knowledge-based economy, with an emphasis on the role of knowledge creation, diffusion, and application across three economic levels: (1) the systemic ''meta'' or ''macro''-level, (2) the organizational ''meso''-level, and (3) the individual ''micro''-level. The journal incorporates insights from the fields of economics, management, law, sociology, anthropology, psychology, and political science to shed new light on the evolving role of knowledge, with a particular emphasis on how innovation can be leveraged to provide solutions to complex problems and issues, including global crises in environmental sustainability, education, and economic development. Articles emphasize empirical studies, underscoring a comparative approach, and, to a lesser extent, case studies and theoretical articles. The journal balances practice/application and theory/concepts.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信