IF 5.5 2区 经济学 Q1 BUSINESS, FINANCE
Saswat Patra , Kunjana Malik
{"title":"Return and volatility connectedness among US and Latin American markets: A QVAR approach with implications for hedging and portfolio diversification","authors":"Saswat Patra ,&nbsp;Kunjana Malik","doi":"10.1016/j.gfj.2025.101094","DOIUrl":null,"url":null,"abstract":"<div><div>This study examines return and volatility connectedness among major Latin American markets and the US using the Quantile Vector Autoregression (QVAR) approach. We analyze spillovers at the median and extreme tails. Results reveal moderate integration at the median, with higher interconnectedness at both tails. We find that volatility spillovers are slightly greater at right tails, and spillovers peaked during the 2008 Global Financial Crisis. Return spillovers generally exceed volatility spillovers. Argentina and Chile are net receivers, while Brazil, Mexico, and the US are net transmitters. Based on the Minimum Connectedness Portfolio and the dynamic hedge ratio, Chile offers the cheapest hedge, while US is the most effective for risk reduction.</div></div>","PeriodicalId":46907,"journal":{"name":"Global Finance Journal","volume":"65 ","pages":"Article 101094"},"PeriodicalIF":5.5000,"publicationDate":"2025-02-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Global Finance Journal","FirstCategoryId":"96","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1044028325000213","RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"BUSINESS, FINANCE","Score":null,"Total":0}
引用次数: 0

摘要

本研究采用量子向量自回归(QVAR)方法研究了拉美主要市场与美国之间的收益率和波动率关联性。我们分析了中位数和极端尾数的溢出效应。结果显示,中位数的整合程度适中,两个尾部的相互关联度较高。我们发现,右侧尾部的波动溢出效应略大,溢出效应在 2008 年全球金融危机期间达到顶峰。收益溢出效应通常超过波动溢出效应。阿根廷和智利是净接受者,而巴西、墨西哥和美国则是净传播者。根据最小关联度组合和动态对冲比率,智利的对冲成本最低,而美国对降低风险最有效。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Return and volatility connectedness among US and Latin American markets: A QVAR approach with implications for hedging and portfolio diversification
This study examines return and volatility connectedness among major Latin American markets and the US using the Quantile Vector Autoregression (QVAR) approach. We analyze spillovers at the median and extreme tails. Results reveal moderate integration at the median, with higher interconnectedness at both tails. We find that volatility spillovers are slightly greater at right tails, and spillovers peaked during the 2008 Global Financial Crisis. Return spillovers generally exceed volatility spillovers. Argentina and Chile are net receivers, while Brazil, Mexico, and the US are net transmitters. Based on the Minimum Connectedness Portfolio and the dynamic hedge ratio, Chile offers the cheapest hedge, while US is the most effective for risk reduction.
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
Global Finance Journal
Global Finance Journal BUSINESS, FINANCE-
CiteScore
7.30
自引率
13.50%
发文量
106
审稿时长
53 days
期刊介绍: Global Finance Journal provides a forum for the exchange of ideas and techniques among academicians and practitioners and, thereby, advances applied research in global financial management. Global Finance Journal publishes original, creative, scholarly research that integrates theory and practice and addresses a readership in both business and academia. Articles reflecting pragmatic research are sought in areas such as financial management, investment, banking and financial services, accounting, and taxation. Global Finance Journal welcomes contributions from scholars in both the business and academic community and encourages collaborative research from this broad base worldwide.
×
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