《国际房地产评论》

IF 0.4 Q4 ECONOMICS
K. Liow, Zhuo Lee
{"title":"《国际房地产评论》","authors":"K. Liow, Zhuo Lee","doi":"10.53383/100168","DOIUrl":null,"url":null,"abstract":"The main contribution of this study is to examine the extreme dependence between the real estate securities and stock markets in Australia, China, Hong Kong, Japan, Malaysia, the Philippines, Singapore and Taiwan between January 1995 and March 2011. For each market, we derive time series tail dependence coefficients (TDC) which measure how likely financial returns move in extreme market conditions by using the dynamic conditional correlation (DCC) methodology provided by Engle (2002). Overall, our results indicate that Singapore, the Philippines and Hong Kong have the highest extreme real estate–stock market co-movement of at least 50%. In addition, during the global financial crisis (GFC) period, the securitized real estate and common stock markets in China, Hong Kong, Japan, the Philippines and Singapore displayed the highest extreme dependence to react together to financial turmoil. The results in this paper also show that the extreme dependence patterns of real estate stock markets are similar for many of the Asia-Pacific economies. Finally, correlation coefficients are not adequate for explaining extreme co-movements between the securitized real estate and common stock markets in the longer period, as well as in the two-year GFC periods. Our TDC modeling with Asia-Pacific securitized real estate and stock markets provide useful information and advice to international investors and risk management personnel in tactical asset allocation so as to manage the extreme dependence between securitized real estate and common stock market.","PeriodicalId":44050,"journal":{"name":"International Real Estate Review","volume":"41 1","pages":""},"PeriodicalIF":0.4000,"publicationDate":"2013-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"International Real Estate Review\",\"authors\":\"K. Liow, Zhuo Lee\",\"doi\":\"10.53383/100168\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The main contribution of this study is to examine the extreme dependence between the real estate securities and stock markets in Australia, China, Hong Kong, Japan, Malaysia, the Philippines, Singapore and Taiwan between January 1995 and March 2011. For each market, we derive time series tail dependence coefficients (TDC) which measure how likely financial returns move in extreme market conditions by using the dynamic conditional correlation (DCC) methodology provided by Engle (2002). Overall, our results indicate that Singapore, the Philippines and Hong Kong have the highest extreme real estate–stock market co-movement of at least 50%. In addition, during the global financial crisis (GFC) period, the securitized real estate and common stock markets in China, Hong Kong, Japan, the Philippines and Singapore displayed the highest extreme dependence to react together to financial turmoil. The results in this paper also show that the extreme dependence patterns of real estate stock markets are similar for many of the Asia-Pacific economies. Finally, correlation coefficients are not adequate for explaining extreme co-movements between the securitized real estate and common stock markets in the longer period, as well as in the two-year GFC periods. Our TDC modeling with Asia-Pacific securitized real estate and stock markets provide useful information and advice to international investors and risk management personnel in tactical asset allocation so as to manage the extreme dependence between securitized real estate and common stock market.\",\"PeriodicalId\":44050,\"journal\":{\"name\":\"International Real Estate Review\",\"volume\":\"41 1\",\"pages\":\"\"},\"PeriodicalIF\":0.4000,\"publicationDate\":\"2013-08-31\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Real Estate Review\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.53383/100168\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"ECONOMICS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Real Estate Review","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.53383/100168","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"ECONOMICS","Score":null,"Total":0}
引用次数: 0

摘要

本研究的主要贡献是考察了1995年1月至2011年3月期间澳大利亚、中国、香港、日本、马来西亚、菲律宾、新加坡和台湾房地产证券与股票市场之间的极端依赖关系。对于每个市场,我们推导出时间序列尾部相关系数(TDC),该系数通过使用Engle(2002)提供的动态条件相关(DCC)方法来衡量金融回报在极端市场条件下移动的可能性。总体而言,我们的研究结果表明,新加坡、菲律宾和香港的房地产-股票市场共同波动幅度最高,至少达到50%。此外,在全球金融危机期间,中国、香港、日本、菲律宾和新加坡的证券化房地产和普通股市场对共同应对金融动荡表现出最高的极端依赖性。本文的研究结果还表明,房地产股票市场的极端依赖模式在许多亚太经济体中是相似的。最后,相关系数不足以解释证券化房地产和普通股市场在较长时期以及两年全球金融危机期间的极端共同走势。我们基于亚太地区证券化房地产和股票市场的TDC模型为国际投资者和风险管理人员在策略性资产配置方面提供了有用的信息和建议,以管理证券化房地产与普通股市场之间的极度依赖。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
International Real Estate Review
The main contribution of this study is to examine the extreme dependence between the real estate securities and stock markets in Australia, China, Hong Kong, Japan, Malaysia, the Philippines, Singapore and Taiwan between January 1995 and March 2011. For each market, we derive time series tail dependence coefficients (TDC) which measure how likely financial returns move in extreme market conditions by using the dynamic conditional correlation (DCC) methodology provided by Engle (2002). Overall, our results indicate that Singapore, the Philippines and Hong Kong have the highest extreme real estate–stock market co-movement of at least 50%. In addition, during the global financial crisis (GFC) period, the securitized real estate and common stock markets in China, Hong Kong, Japan, the Philippines and Singapore displayed the highest extreme dependence to react together to financial turmoil. The results in this paper also show that the extreme dependence patterns of real estate stock markets are similar for many of the Asia-Pacific economies. Finally, correlation coefficients are not adequate for explaining extreme co-movements between the securitized real estate and common stock markets in the longer period, as well as in the two-year GFC periods. Our TDC modeling with Asia-Pacific securitized real estate and stock markets provide useful information and advice to international investors and risk management personnel in tactical asset allocation so as to manage the extreme dependence between securitized real estate and common stock market.
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
0.80
自引率
14.30%
发文量
10
×
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