全球经济政策不确定性与区域房地产市场的时变联系:来自TVP-VAR扩展联合联系方法的证据

Haobo Zou, Mansoora Ahmed, Q. Tariq, K. Khan
{"title":"全球经济政策不确定性与区域房地产市场的时变联系:来自TVP-VAR扩展联合联系方法的证据","authors":"Haobo Zou, Mansoora Ahmed, Q. Tariq, K. Khan","doi":"10.1108/ijhma-12-2022-0176","DOIUrl":null,"url":null,"abstract":"\nPurpose\nThe real estate markets may be significantly influenced by the uncertainty in global economic policy. This paper aims to evaluate the time-varying connectedness between global economic policy uncertainty and regional real estate markets to understand how regional real estate markets and uncertainty in global economic policy are related throughout time.\n\n\nDesign/methodology/approach\nThe current study includes the monthly data from April 2007 to August 2022 of major regions (i.e. Asia Pacific, Europe, Africa, North America and Latin America). Moreover, the authors use the time-varying parameter vector auto-regression (TVP-VAR) approach for the analysis.\n\n\nFindings\nThe finding revealed a significant level of connectedness among global economic policy uncertainty and selected regional real estate markets. The result highlights more than 80% connectivity between the two variables, which makes the current study valuable. Furthermore, results determine Africa and North America are the shock transmitters; thus, they are considered safe-haven for investors to invest in these markets.\n\n\nOriginality/value\nThe main novelty is that this research highlights the time-varying connectedness between global economic policy uncertainty and five regional real estate markets (Africa, Asian Pacific, Europe, Latin America and North America) using TVP-VAR. Furthermore, the authors used the standard and poor daily real estate investment trust (REIT) indices for the selected REIT markets. Finally, this research suggests practical implications for real estate investors, property developers, stakeholders, policymakers and managers to revise their current policies to maintain the real estate market stability during economic and political uncertainty or in other uncertain situations.\n","PeriodicalId":14136,"journal":{"name":"International Journal of Housing Markets and Analysis","volume":" ","pages":""},"PeriodicalIF":1.5000,"publicationDate":"2023-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Time-varying connectedness between global economic policy uncertainty and regional real estate markets: evidence from TVP-VAR extended joint connectedness approach\",\"authors\":\"Haobo Zou, Mansoora Ahmed, Q. Tariq, K. Khan\",\"doi\":\"10.1108/ijhma-12-2022-0176\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"\\nPurpose\\nThe real estate markets may be significantly influenced by the uncertainty in global economic policy. This paper aims to evaluate the time-varying connectedness between global economic policy uncertainty and regional real estate markets to understand how regional real estate markets and uncertainty in global economic policy are related throughout time.\\n\\n\\nDesign/methodology/approach\\nThe current study includes the monthly data from April 2007 to August 2022 of major regions (i.e. Asia Pacific, Europe, Africa, North America and Latin America). Moreover, the authors use the time-varying parameter vector auto-regression (TVP-VAR) approach for the analysis.\\n\\n\\nFindings\\nThe finding revealed a significant level of connectedness among global economic policy uncertainty and selected regional real estate markets. The result highlights more than 80% connectivity between the two variables, which makes the current study valuable. Furthermore, results determine Africa and North America are the shock transmitters; thus, they are considered safe-haven for investors to invest in these markets.\\n\\n\\nOriginality/value\\nThe main novelty is that this research highlights the time-varying connectedness between global economic policy uncertainty and five regional real estate markets (Africa, Asian Pacific, Europe, Latin America and North America) using TVP-VAR. Furthermore, the authors used the standard and poor daily real estate investment trust (REIT) indices for the selected REIT markets. Finally, this research suggests practical implications for real estate investors, property developers, stakeholders, policymakers and managers to revise their current policies to maintain the real estate market stability during economic and political uncertainty or in other uncertain situations.\\n\",\"PeriodicalId\":14136,\"journal\":{\"name\":\"International Journal of Housing Markets and Analysis\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":1.5000,\"publicationDate\":\"2023-03-27\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Housing Markets and Analysis\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1108/ijhma-12-2022-0176\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"URBAN STUDIES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Housing Markets and Analysis","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1108/ijhma-12-2022-0176","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"URBAN STUDIES","Score":null,"Total":0}
引用次数: 0

摘要

房地产市场可能会受到全球经济政策不确定性的显著影响。本文旨在评估全球经济政策不确定性与区域房地产市场之间的时变连通性,以了解区域房地产市场与全球经济政策的不确定性如何在整个时间内相互关联。目前的研究包括2007年4月至2022年8月主要地区(即亚太、欧洲、非洲、北美和拉丁美洲)的月度数据。此外,作者采用时变参数向量自回归(TVP-VAR)方法进行分析。研究结果表明,全球经济政策的不确定性与特定区域房地产市场之间存在显著的联系。结果表明,这两个变量之间有80%以上的连通性,这使得当前的研究具有价值。此外,研究结果表明,非洲和北美是冲击的传递地;因此,它们被投资者视为投资这些市场的避风港。独创性/价值主要的新颖之处在于,本研究使用ttv -var强调了全球经济政策不确定性与五个区域房地产市场(非洲、亚太、欧洲、拉丁美洲和北美)之间的时变联系。此外,作者使用标准和差每日房地产投资信托(REIT)指数为选定的REIT市场。最后,本研究对房地产投资者、房地产开发商、利益相关者、政策制定者和管理者在经济和政治不确定或其他不确定情况下修改其现行政策以保持房地产市场稳定提出了实际意义。
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-varying connectedness between global economic policy uncertainty and regional real estate markets: evidence from TVP-VAR extended joint connectedness approach
Purpose The real estate markets may be significantly influenced by the uncertainty in global economic policy. This paper aims to evaluate the time-varying connectedness between global economic policy uncertainty and regional real estate markets to understand how regional real estate markets and uncertainty in global economic policy are related throughout time. Design/methodology/approach The current study includes the monthly data from April 2007 to August 2022 of major regions (i.e. Asia Pacific, Europe, Africa, North America and Latin America). Moreover, the authors use the time-varying parameter vector auto-regression (TVP-VAR) approach for the analysis. Findings The finding revealed a significant level of connectedness among global economic policy uncertainty and selected regional real estate markets. The result highlights more than 80% connectivity between the two variables, which makes the current study valuable. Furthermore, results determine Africa and North America are the shock transmitters; thus, they are considered safe-haven for investors to invest in these markets. Originality/value The main novelty is that this research highlights the time-varying connectedness between global economic policy uncertainty and five regional real estate markets (Africa, Asian Pacific, Europe, Latin America and North America) using TVP-VAR. Furthermore, the authors used the standard and poor daily real estate investment trust (REIT) indices for the selected REIT markets. Finally, this research suggests practical implications for real estate investors, property developers, stakeholders, policymakers and managers to revise their current policies to maintain the real estate market stability during economic and political uncertainty or in other uncertain situations.
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
2.80
自引率
29.40%
发文量
68
期刊最新文献
Comparative analysis of machine learning models in predicting housing prices: a case study of Prishtina's real estate market The exchange rates volatilities impact on the stock and real estate markets in South Africa Housing affordability and housing demand assessment for urban poor in India using the hedonic model Short-run dynamics and long-run effects of monetary policy on residential property prices in South Africa Relationship between housing, oil, gold and stock markets: evidence from UK and Norway
×
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