Dynamic Returns Connectedness: Portfolio Hedging Implications During the COVID-19 Pandemic and the Russia–Ukraine War

IF 1.8 4区 经济学 Q2 BUSINESS, FINANCE
Ghulame Rubbaniy, Ali Awais Khalid, Konstantinos Syriopoulos, Efstathios Polyzos
{"title":"Dynamic Returns Connectedness: Portfolio Hedging Implications During the COVID-19 Pandemic and the Russia–Ukraine War","authors":"Ghulame Rubbaniy,&nbsp;Ali Awais Khalid,&nbsp;Konstantinos Syriopoulos,&nbsp;Efstathios Polyzos","doi":"10.1002/fut.22539","DOIUrl":null,"url":null,"abstract":"<div>\n \n <p>We apply a Time-Varying Parameter Vector Auto Regressive (TVP-VAR) connectedness approach on global assets to investigate time-varying dynamic connectedness, portfolio performance, and hedge effectiveness during COVID-19 and the Russia–Ukraine war. With increased connectedness and the changing role of energy and soft commodities during these two events, we find the minimum correlation (connectedness) portfolio performing better during COVID-19 and the Russia–Ukraine war and that cumulative returns of portfolios are higher during COVID-19. Additionally, we find varying (stable) hedge effectiveness of equity market indices and soft commodities (cryptocurrencies). This paper provides specific insights to investors about using optimal portfolios and hedging during pandemics and military conflicts.</p>\n </div>","PeriodicalId":15863,"journal":{"name":"Journal of Futures Markets","volume":"44 10","pages":"1613-1639"},"PeriodicalIF":1.8000,"publicationDate":"2024-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Futures Markets","FirstCategoryId":"96","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/fut.22539","RegionNum":4,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"BUSINESS, FINANCE","Score":null,"Total":0}
引用次数: 0

Abstract

We apply a Time-Varying Parameter Vector Auto Regressive (TVP-VAR) connectedness approach on global assets to investigate time-varying dynamic connectedness, portfolio performance, and hedge effectiveness during COVID-19 and the Russia–Ukraine war. With increased connectedness and the changing role of energy and soft commodities during these two events, we find the minimum correlation (connectedness) portfolio performing better during COVID-19 and the Russia–Ukraine war and that cumulative returns of portfolios are higher during COVID-19. Additionally, we find varying (stable) hedge effectiveness of equity market indices and soft commodities (cryptocurrencies). This paper provides specific insights to investors about using optimal portfolios and hedging during pandemics and military conflicts.

动态回报关联性:COVID-19 大流行和俄乌战争期间的投资组合对冲影响
我们对全球资产采用时变参数向量自动回归(TVP-VAR)关联性方法,研究 COVID-19 和俄乌战争期间的时变动态关联性、投资组合表现和对冲效果。在这两个事件中,随着连通性的增加以及能源和软商品角色的变化,我们发现最小相关性(连通性)投资组合在 COVID-19 和俄乌战争期间表现更好,并且在 COVID-19 期间投资组合的累计收益更高。此外,我们还发现股票市场指数和软商品(加密货币)的对冲效果各不相同(稳定)。本文为投资者在大流行病和军事冲突期间使用最优投资组合和对冲提供了具体见解。
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
Journal of Futures Markets
Journal of Futures Markets BUSINESS, FINANCE-
CiteScore
3.70
自引率
15.80%
发文量
91
期刊介绍: The Journal of Futures Markets chronicles the latest developments in financial futures and derivatives. It publishes timely, innovative articles written by leading finance academics and professionals. Coverage ranges from the highly practical to theoretical topics that include futures, derivatives, risk management and control, financial engineering, new financial instruments, hedging strategies, analysis of trading systems, legal, accounting, and regulatory issues, and portfolio optimization. This publication contains the very latest research from the top experts.
×
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