宏观不确定性、金融压力和资产市场之间的时间和频率不确定性溢出效应

IF 2.3 Q2 BUSINESS, FINANCE Studies in Economics and Finance Pub Date : 2023-01-20 DOI:10.1108/sef-11-2022-0518
Ujjawal Sawarn, Pradyumna Dash
{"title":"宏观不确定性、金融压力和资产市场之间的时间和频率不确定性溢出效应","authors":"Ujjawal Sawarn, Pradyumna Dash","doi":"10.1108/sef-11-2022-0518","DOIUrl":null,"url":null,"abstract":"\nPurpose\nThis study aims to examine the uncertainty spillover among eight important asset classes (cryptocurrencies, US stocks, US bonds, US dollar, agriculture, metal, oil and gold) using weekly data from 2014 to 2020. This study also examines the US macro uncertainty and US financial stress spillover on these assets.\n\n\nDesign/methodology/approach\nThe authors use time–frequency connectedness method to study the uncertainty spillover among the asset classes.\n\n\nFindings\nThis study’s findings revealed that the uncertainty spillover is time-varying and peaked during the 2016 oil supply glut and COVID-19 pandemic. US stocks are the highest transmitter of uncertainty to all other assets, followed by the US dollar and oil. US stocks (US dollar and oil) transmit uncertainty in long (short) term. Furthermore, US macro uncertainty is the net transmitter of uncertainty to the US stocks, industrial metals and oil markets. In contrast, US financial stress is the net transmitter of uncertainty to the US bonds, cryptocurrencies, the US dollar and gold markets. US financial stress (US macro uncertainty) has long (short)-term effects on asset price volatility.\n\n\nOriginality/value\nThis study complements the studies on volatility spillover among the important asset classes. This study also includes recently financialized asset classes such as cryptocurrencies, agricultural and industrial commodities. This study examines the macro uncertainty and financial stress spillover on these assets.\n","PeriodicalId":45607,"journal":{"name":"Studies in Economics and Finance","volume":null,"pages":null},"PeriodicalIF":2.3000,"publicationDate":"2023-01-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Time and frequency uncertainty spillover among macro uncertainty, financial stress and asset markets\",\"authors\":\"Ujjawal Sawarn, Pradyumna Dash\",\"doi\":\"10.1108/sef-11-2022-0518\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"\\nPurpose\\nThis study aims to examine the uncertainty spillover among eight important asset classes (cryptocurrencies, US stocks, US bonds, US dollar, agriculture, metal, oil and gold) using weekly data from 2014 to 2020. This study also examines the US macro uncertainty and US financial stress spillover on these assets.\\n\\n\\nDesign/methodology/approach\\nThe authors use time–frequency connectedness method to study the uncertainty spillover among the asset classes.\\n\\n\\nFindings\\nThis study’s findings revealed that the uncertainty spillover is time-varying and peaked during the 2016 oil supply glut and COVID-19 pandemic. US stocks are the highest transmitter of uncertainty to all other assets, followed by the US dollar and oil. US stocks (US dollar and oil) transmit uncertainty in long (short) term. Furthermore, US macro uncertainty is the net transmitter of uncertainty to the US stocks, industrial metals and oil markets. In contrast, US financial stress is the net transmitter of uncertainty to the US bonds, cryptocurrencies, the US dollar and gold markets. US financial stress (US macro uncertainty) has long (short)-term effects on asset price volatility.\\n\\n\\nOriginality/value\\nThis study complements the studies on volatility spillover among the important asset classes. This study also includes recently financialized asset classes such as cryptocurrencies, agricultural and industrial commodities. This study examines the macro uncertainty and financial stress spillover on these assets.\\n\",\"PeriodicalId\":45607,\"journal\":{\"name\":\"Studies in Economics and Finance\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":2.3000,\"publicationDate\":\"2023-01-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Studies in Economics and Finance\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1108/sef-11-2022-0518\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"BUSINESS, FINANCE\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Studies in Economics and Finance","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1108/sef-11-2022-0518","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"BUSINESS, FINANCE","Score":null,"Total":0}
引用次数: 1

摘要

目的本研究旨在利用2014年至2020年的每周数据,检验八种重要资产类别(加密货币、美国股票、美国债券、美元、农业、金属、石油和黄金)之间的不确定性溢出。本研究还考察了美国宏观不确定性和美国金融压力对这些资产的溢出效应。设计/方法论/方法作者使用时频连通性方法来研究资产类别之间的不确定性溢出。发现这项研究的发现表明,不确定性溢出是随时间变化的,在2016年石油供应过剩和新冠肺炎大流行期间达到峰值。美国股市是所有其他资产不确定性的最高传导者,其次是美元和石油。美国股市(美元和石油)在长期(短期)传递不确定性。此外,美国宏观不确定性是美国股市、工业金属和石油市场不确定性的净传导者。相比之下,美国的金融压力是美国债券、加密货币、美元和黄金市场不确定性的净传递者。美国金融压力(美国宏观不确定性)对资产价格波动具有长期(短期)影响。原创性/价值本研究补充了重要资产类别之间波动溢出的研究。这项研究还包括最近金融化的资产类别,如加密货币、农业和工业商品。本研究考察了宏观不确定性和金融压力对这些资产的溢出效应。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Time and frequency uncertainty spillover among macro uncertainty, financial stress and asset markets
Purpose This study aims to examine the uncertainty spillover among eight important asset classes (cryptocurrencies, US stocks, US bonds, US dollar, agriculture, metal, oil and gold) using weekly data from 2014 to 2020. This study also examines the US macro uncertainty and US financial stress spillover on these assets. Design/methodology/approach The authors use time–frequency connectedness method to study the uncertainty spillover among the asset classes. Findings This study’s findings revealed that the uncertainty spillover is time-varying and peaked during the 2016 oil supply glut and COVID-19 pandemic. US stocks are the highest transmitter of uncertainty to all other assets, followed by the US dollar and oil. US stocks (US dollar and oil) transmit uncertainty in long (short) term. Furthermore, US macro uncertainty is the net transmitter of uncertainty to the US stocks, industrial metals and oil markets. In contrast, US financial stress is the net transmitter of uncertainty to the US bonds, cryptocurrencies, the US dollar and gold markets. US financial stress (US macro uncertainty) has long (short)-term effects on asset price volatility. Originality/value This study complements the studies on volatility spillover among the important asset classes. This study also includes recently financialized asset classes such as cryptocurrencies, agricultural and industrial commodities. This study examines the macro uncertainty and financial stress spillover on these assets.
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
4.30
自引率
10.50%
发文量
43
期刊介绍: Topics addressed in the journal include: ■corporate finance, ■financial markets, ■money and banking, ■international finance and economics, ■investments, ■risk management, ■theory of the firm, ■competition policy, ■corporate governance.
期刊最新文献
Unraveling exogenous shocks, financial stress and US economic performance Influence of Ukrainian refugees on the exchange rate and stock market in neighboring countries How do commodity futures respond to Ukraine–Russia, Taiwan Strait and Hamas–Israel crises? – An analysis using event study approach How do commodity futures respond to Ukraine–Russia, Taiwan Strait and Hamas–Israel crises? – An analysis using event study approach The ups and downs of oil prices: asymmetric impacts of oil price volatility on corporate environmental responsibility
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1