油价动态、不确定性指标和失业率:时间和频率方法

IF 9 1区 经济学 Q1 BUSINESS, FINANCE China Finance Review International Pub Date : 2023-01-30 DOI:10.1108/cfri-06-2022-0094
O. Adeosun, R. O. Olayeni, M. Tabash, S. Anagreh
{"title":"油价动态、不确定性指标和失业率:时间和频率方法","authors":"O. Adeosun, R. O. Olayeni, M. Tabash, S. Anagreh","doi":"10.1108/cfri-06-2022-0094","DOIUrl":null,"url":null,"abstract":"PurposeThis study investigates the nexus between the returns on oil prices (OP) and unemployment (UR) while taking into account the influences of two of the most representative measures of uncertainty, the Baker et al. (2016) and Caldara and Iacovello (2021) indexes of economic policy uncertainty (EP) and geopolitical risks (GP), in the relationship.Design/methodology/approachThe authors use data on the US, Canada, France, Italy, Germany and Japan from January 2000 to February 2022 and the UK from January 2000 to December 2021. The authors then apply the continuous wavelet transform (CWT), wavelet coherence (WC), partial wavelet coherence (PWC) and multiple wavelet coherence (MWC) to examine the returns within a time and frequency framework.FindingsThe CWT tracks the movement and evolution of individual return series with evidence of high variances and heterogenous tendencies across frequencies that also align with critical events such as the GFC and COVID-19 pandemic. The WC reveals the presence of a bidirectional relationship between OP and UR across economies, showing that the two variables affect each other. The authors’ findings establish the predictive influence of oil price on unemployment in line with theory and also show that the variation in UR can impact the economy and alter the dynamics of OP. The authors employ the PWC and MWC to capture the impact of uncertainty indexes in the co-movement of oil price and unemployment in line with the theory of “investment under uncertainty”. Taking into account the common effects of EP and GP, PWC finds that uncertainty measures significantly drive the co-movement of oil prices and unemployment. This result is robust when the authors control for the influence of economic activity (proxied by the GDP) in the co-movement. Furthermore, the MWC reveals the combined intensity, strength and significance of both oil prices and the uncertainty measures in predicting unemployment across countries.Originality/valueThis study investigates the relationship between oil prices, uncertainty measures and unemployment under a time and frequency approach.HighlightsWavelet approaches are used to examine the relationship between oil prices and unemployment in the G7.We account for uncertainty measures in the dynamics of oil prices and unemployment.We observe a bidirectional relationship between oil prices and unemployment.Uncertainty measures significantly drive oil prices and unemployment co-movement.Both oil prices and uncertainty measures significantly drive unemployment.","PeriodicalId":44440,"journal":{"name":"China Finance Review International","volume":null,"pages":null},"PeriodicalIF":9.0000,"publicationDate":"2023-01-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"The dynamics of oil prices, uncertainty measures and unemployment: a time and frequency approach\",\"authors\":\"O. Adeosun, R. O. Olayeni, M. Tabash, S. Anagreh\",\"doi\":\"10.1108/cfri-06-2022-0094\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"PurposeThis study investigates the nexus between the returns on oil prices (OP) and unemployment (UR) while taking into account the influences of two of the most representative measures of uncertainty, the Baker et al. (2016) and Caldara and Iacovello (2021) indexes of economic policy uncertainty (EP) and geopolitical risks (GP), in the relationship.Design/methodology/approachThe authors use data on the US, Canada, France, Italy, Germany and Japan from January 2000 to February 2022 and the UK from January 2000 to December 2021. The authors then apply the continuous wavelet transform (CWT), wavelet coherence (WC), partial wavelet coherence (PWC) and multiple wavelet coherence (MWC) to examine the returns within a time and frequency framework.FindingsThe CWT tracks the movement and evolution of individual return series with evidence of high variances and heterogenous tendencies across frequencies that also align with critical events such as the GFC and COVID-19 pandemic. The WC reveals the presence of a bidirectional relationship between OP and UR across economies, showing that the two variables affect each other. The authors’ findings establish the predictive influence of oil price on unemployment in line with theory and also show that the variation in UR can impact the economy and alter the dynamics of OP. The authors employ the PWC and MWC to capture the impact of uncertainty indexes in the co-movement of oil price and unemployment in line with the theory of “investment under uncertainty”. Taking into account the common effects of EP and GP, PWC finds that uncertainty measures significantly drive the co-movement of oil prices and unemployment. This result is robust when the authors control for the influence of economic activity (proxied by the GDP) in the co-movement. Furthermore, the MWC reveals the combined intensity, strength and significance of both oil prices and the uncertainty measures in predicting unemployment across countries.Originality/valueThis study investigates the relationship between oil prices, uncertainty measures and unemployment under a time and frequency approach.HighlightsWavelet approaches are used to examine the relationship between oil prices and unemployment in the G7.We account for uncertainty measures in the dynamics of oil prices and unemployment.We observe a bidirectional relationship between oil prices and unemployment.Uncertainty measures significantly drive oil prices and unemployment co-movement.Both oil prices and uncertainty measures significantly drive unemployment.\",\"PeriodicalId\":44440,\"journal\":{\"name\":\"China Finance Review International\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":9.0000,\"publicationDate\":\"2023-01-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"China Finance Review International\",\"FirstCategoryId\":\"96\",\"ListUrlMain\":\"https://doi.org/10.1108/cfri-06-2022-0094\",\"RegionNum\":1,\"RegionCategory\":\"经济学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"BUSINESS, FINANCE\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"China Finance Review International","FirstCategoryId":"96","ListUrlMain":"https://doi.org/10.1108/cfri-06-2022-0094","RegionNum":1,"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: 3

摘要

目的本研究调查了油价回报率(OP)和失业率(UR)之间的关系,同时考虑了两种最具代表性的不确定性指标Baker等人的影响。(2016)以及Caldara和Iacovello(2021)关于经济政策不确定性(EP)和地缘政治风险(GP)的指数。设计/方法论/方法作者使用了2000年1月至2022年2月美国、加拿大、法国、意大利、德国和日本以及2000年1日至2021年12月英国的数据。然后,作者应用连续小波变换(CWT)、小波相干(WC)、部分小波相干(PWC)和多重小波相干(MWC)在时间和频率框架内检验回波。发现CWT跟踪个人回报序列的运动和演变,有证据表明,频率之间的高方差和异质性趋势也与GFC和新冠肺炎大流行等关键事件一致。WC揭示了各经济体OP和UR之间存在双向关系,表明这两个变量相互影响。作者的研究结果建立了符合理论的油价对失业率的预测影响,并表明UR的变化可以影响经济并改变OP的动态。作者采用PWC和MWC来捕捉不确定性指数在油价和失业率共同运动中的影响,符合“不确定性下的投资”理论。考虑到EP和GP的共同影响,普华永道发现,不确定性措施显著推动了油价和失业率的共同波动。当作者控制了共同运动中经济活动(以GDP为代表)的影响时,这一结果是稳健的。此外,MWC揭示了油价和不确定性指标在预测各国失业率方面的综合强度、强度和重要性。原创性/价值本研究采用时间和频率方法调查了油价、不确定性指标和失业率之间的关系。亮点小波方法用于研究七国集团中油价和失业率之间的关系。我们考虑了油价和失业动态中的不确定性指标。我们观察到油价和失业之间存在双向关系。不确定性措施显著推动了油价和失业率的联动。石油价格和不确定性措施都大大推动了失业。
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
The dynamics of oil prices, uncertainty measures and unemployment: a time and frequency approach
PurposeThis study investigates the nexus between the returns on oil prices (OP) and unemployment (UR) while taking into account the influences of two of the most representative measures of uncertainty, the Baker et al. (2016) and Caldara and Iacovello (2021) indexes of economic policy uncertainty (EP) and geopolitical risks (GP), in the relationship.Design/methodology/approachThe authors use data on the US, Canada, France, Italy, Germany and Japan from January 2000 to February 2022 and the UK from January 2000 to December 2021. The authors then apply the continuous wavelet transform (CWT), wavelet coherence (WC), partial wavelet coherence (PWC) and multiple wavelet coherence (MWC) to examine the returns within a time and frequency framework.FindingsThe CWT tracks the movement and evolution of individual return series with evidence of high variances and heterogenous tendencies across frequencies that also align with critical events such as the GFC and COVID-19 pandemic. The WC reveals the presence of a bidirectional relationship between OP and UR across economies, showing that the two variables affect each other. The authors’ findings establish the predictive influence of oil price on unemployment in line with theory and also show that the variation in UR can impact the economy and alter the dynamics of OP. The authors employ the PWC and MWC to capture the impact of uncertainty indexes in the co-movement of oil price and unemployment in line with the theory of “investment under uncertainty”. Taking into account the common effects of EP and GP, PWC finds that uncertainty measures significantly drive the co-movement of oil prices and unemployment. This result is robust when the authors control for the influence of economic activity (proxied by the GDP) in the co-movement. Furthermore, the MWC reveals the combined intensity, strength and significance of both oil prices and the uncertainty measures in predicting unemployment across countries.Originality/valueThis study investigates the relationship between oil prices, uncertainty measures and unemployment under a time and frequency approach.HighlightsWavelet approaches are used to examine the relationship between oil prices and unemployment in the G7.We account for uncertainty measures in the dynamics of oil prices and unemployment.We observe a bidirectional relationship between oil prices and unemployment.Uncertainty measures significantly drive oil prices and unemployment co-movement.Both oil prices and uncertainty measures significantly drive unemployment.
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
12.40
自引率
1.20%
发文量
112
期刊介绍: China Finance Review International publishes original and high-quality theoretical and empirical articles focusing on financial and economic issues arising from China's reform, opening-up, economic development, and system transformation. The journal serves as a platform for exchange between Chinese finance scholars and international financial economists, covering a wide range of topics including monetary policy, banking, international trade and finance, corporate finance, asset pricing, market microstructure, corporate governance, incentive studies, fiscal policy, public management, and state-owned enterprise reform.
期刊最新文献
The valuation demand for accounting conservatism: evidence from firm-level climate risk measures Who gains favor with green investors amidst climate risk? Do green economy stocks matter for the carbon and energy markets? Evidence of connectedness effects and hedging strategies Exploring interconnections and risk evaluation of green equities and bonds: fresh perspectives from TVP-VAR model and wavelet-based VaR analysis Institutional ownership and cost of equity of Chinese firms
×
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