非洲商品、股票、汇率和债券市场之间的关联性:Covid-19 大流行病案例

IF 2.7 4区 管理学 Q2 BUSINESS
Robert Owusu Boakye, Lord Mensah, Sanghoon Kang, Kofi Osei
{"title":"非洲商品、股票、汇率和债券市场之间的关联性:Covid-19 大流行病案例","authors":"Robert Owusu Boakye, Lord Mensah, Sanghoon Kang, Kofi Osei","doi":"10.1108/ijoem-03-2023-0411","DOIUrl":null,"url":null,"abstract":"<h3>Purpose</h3>\n<p>The study measures the total systemic risks and connectedness across commodities, stocks, exchange rates and bond markets in Africa during the Covid-19 pandemic.</p><!--/ Abstract__block -->\n<h3>Design/methodology/approach</h3>\n<p>The study uses the Diebold-Yilmaz spillover and connectedness measures in a generalized VAR framework. The author calculates the net transmitters or receivers of shocks between two assets and visualizes their strength using a network analysis tool.</p><!--/ Abstract__block -->\n<h3>Findings</h3>\n<p>The study found low systemic risks across all assets and countries. However, we found higher systemic risks in the forex market than in the stock and bond markets, and in South Africa than in other countries. The dynamic analysis found time-varying connectedness return shocks, which increased during the peak periods of the first and second waves of the pandemic. We found both gold and oil as net receivers of shocks. Overall, over half of all assets were net receivers, and others were net transmitters of return shocks. The network connectedness plot shows high net pairwise connectedness from Morocco to South Africa stock market.</p><!--/ Abstract__block -->\n<h3>Practical implications</h3>\n<p>The study has implications for policymakers to develop the capacities of local investors and markets to limit portfolio outflows during a crisis.</p><!--/ Abstract__block -->\n<h3>Originality/value</h3>\n<p>Previous studies have analyzed spillovers across asset classes in a single country or a single asset across countries. This paper contributes to the literature on network connectedness across assets and countries.</p><!--/ Abstract__block -->","PeriodicalId":47381,"journal":{"name":"International Journal of Emerging Markets","volume":"56 1","pages":""},"PeriodicalIF":2.7000,"publicationDate":"2024-03-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Connectedness across commodities, stocks, exchange rates and bonds markets in Africa: the Covid-19 pandemic case\",\"authors\":\"Robert Owusu Boakye, Lord Mensah, Sanghoon Kang, Kofi Osei\",\"doi\":\"10.1108/ijoem-03-2023-0411\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<h3>Purpose</h3>\\n<p>The study measures the total systemic risks and connectedness across commodities, stocks, exchange rates and bond markets in Africa during the Covid-19 pandemic.</p><!--/ Abstract__block -->\\n<h3>Design/methodology/approach</h3>\\n<p>The study uses the Diebold-Yilmaz spillover and connectedness measures in a generalized VAR framework. The author calculates the net transmitters or receivers of shocks between two assets and visualizes their strength using a network analysis tool.</p><!--/ Abstract__block -->\\n<h3>Findings</h3>\\n<p>The study found low systemic risks across all assets and countries. However, we found higher systemic risks in the forex market than in the stock and bond markets, and in South Africa than in other countries. The dynamic analysis found time-varying connectedness return shocks, which increased during the peak periods of the first and second waves of the pandemic. We found both gold and oil as net receivers of shocks. Overall, over half of all assets were net receivers, and others were net transmitters of return shocks. The network connectedness plot shows high net pairwise connectedness from Morocco to South Africa stock market.</p><!--/ Abstract__block -->\\n<h3>Practical implications</h3>\\n<p>The study has implications for policymakers to develop the capacities of local investors and markets to limit portfolio outflows during a crisis.</p><!--/ Abstract__block -->\\n<h3>Originality/value</h3>\\n<p>Previous studies have analyzed spillovers across asset classes in a single country or a single asset across countries. This paper contributes to the literature on network connectedness across assets and countries.</p><!--/ Abstract__block -->\",\"PeriodicalId\":47381,\"journal\":{\"name\":\"International Journal of Emerging Markets\",\"volume\":\"56 1\",\"pages\":\"\"},\"PeriodicalIF\":2.7000,\"publicationDate\":\"2024-03-05\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Emerging Markets\",\"FirstCategoryId\":\"91\",\"ListUrlMain\":\"https://doi.org/10.1108/ijoem-03-2023-0411\",\"RegionNum\":4,\"RegionCategory\":\"管理学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"BUSINESS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Emerging Markets","FirstCategoryId":"91","ListUrlMain":"https://doi.org/10.1108/ijoem-03-2023-0411","RegionNum":4,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"BUSINESS","Score":null,"Total":0}
引用次数: 0

摘要

目的本研究衡量了科威德-19 大流行病期间非洲商品、股票、汇率和债券市场的总体系统风险和关联性。作者计算了两种资产之间冲击的净传播者或接收者,并使用网络分析工具直观地显示了其强度。然而,我们发现外汇市场的系统性风险高于股票和债券市场,南非的系统性风险高于其他国家。动态分析发现了随时间变化的关联性回报冲击,这种冲击在大流行病的第一波和第二波高峰期有所增加。我们发现黄金和石油都是冲击的净接收者。总体而言,一半以上的资产是回报冲击的净接收者,而其他资产则是回报冲击的净传播者。网络连通性图显示,从摩洛哥到南非股票市场之间的净连通性很高。 研究对政策制定者在危机期间发展当地投资者和市场限制投资组合外流的能力具有重要意义。本文为有关跨资产和跨国家网络关联性的文献做出了贡献。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Connectedness across commodities, stocks, exchange rates and bonds markets in Africa: the Covid-19 pandemic case

Purpose

The study measures the total systemic risks and connectedness across commodities, stocks, exchange rates and bond markets in Africa during the Covid-19 pandemic.

Design/methodology/approach

The study uses the Diebold-Yilmaz spillover and connectedness measures in a generalized VAR framework. The author calculates the net transmitters or receivers of shocks between two assets and visualizes their strength using a network analysis tool.

Findings

The study found low systemic risks across all assets and countries. However, we found higher systemic risks in the forex market than in the stock and bond markets, and in South Africa than in other countries. The dynamic analysis found time-varying connectedness return shocks, which increased during the peak periods of the first and second waves of the pandemic. We found both gold and oil as net receivers of shocks. Overall, over half of all assets were net receivers, and others were net transmitters of return shocks. The network connectedness plot shows high net pairwise connectedness from Morocco to South Africa stock market.

Practical implications

The study has implications for policymakers to develop the capacities of local investors and markets to limit portfolio outflows during a crisis.

Originality/value

Previous studies have analyzed spillovers across asset classes in a single country or a single asset across countries. This paper contributes to the literature on network connectedness across assets and countries.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
CiteScore
5.90
自引率
14.80%
发文量
206
×
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