{"title":"美国与亚太经济体证券化房地产市场的合作","authors":"K. Liow, Xiaoxiao Zhou, Qiang Li, Yuting Huang","doi":"10.1080/09599916.2019.1568283","DOIUrl":null,"url":null,"abstract":"ABSTRACT The novelty of this study is the use of continuous wavelet transform analysis of wavelet coherence, as well as its partial and multiple forms, to revisit the co-movements of Asian-Pacific public real estate markets among themselves and with the US, for a time span which covers the 12 January 1995–23 June 2016 period. Earlier research does not have satisfactory results because traditional methods average different relationships in time domain only. From the wavelet analysis, investors can extract the time-scale that most interests them. We find that the co-movement relationship across the real estate markets increases during the two major crisis period, as well as becomes stronger as the scale increases. Hong Kong and Singapore have the strongest time-scale co-movement relationship. Finally, the influence of domestic macroeconomic factors on real estate return co-movement appears to be greater at the long-term horizons than at the short-term horizons.","PeriodicalId":45726,"journal":{"name":"Journal of Property Research","volume":null,"pages":null},"PeriodicalIF":2.1000,"publicationDate":"2019-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/09599916.2019.1568283","citationCount":"3","resultStr":"{\"title\":\"Co-movement between the US and the securitised real estate markets of the Asian-Pacific economies\",\"authors\":\"K. Liow, Xiaoxiao Zhou, Qiang Li, Yuting Huang\",\"doi\":\"10.1080/09599916.2019.1568283\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"ABSTRACT The novelty of this study is the use of continuous wavelet transform analysis of wavelet coherence, as well as its partial and multiple forms, to revisit the co-movements of Asian-Pacific public real estate markets among themselves and with the US, for a time span which covers the 12 January 1995–23 June 2016 period. Earlier research does not have satisfactory results because traditional methods average different relationships in time domain only. From the wavelet analysis, investors can extract the time-scale that most interests them. We find that the co-movement relationship across the real estate markets increases during the two major crisis period, as well as becomes stronger as the scale increases. Hong Kong and Singapore have the strongest time-scale co-movement relationship. Finally, the influence of domestic macroeconomic factors on real estate return co-movement appears to be greater at the long-term horizons than at the short-term horizons.\",\"PeriodicalId\":45726,\"journal\":{\"name\":\"Journal of Property Research\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":2.1000,\"publicationDate\":\"2019-01-02\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.1080/09599916.2019.1568283\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Property Research\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1080/09599916.2019.1568283\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"URBAN STUDIES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Property Research","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1080/09599916.2019.1568283","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"URBAN STUDIES","Score":null,"Total":0}
Co-movement between the US and the securitised real estate markets of the Asian-Pacific economies
ABSTRACT The novelty of this study is the use of continuous wavelet transform analysis of wavelet coherence, as well as its partial and multiple forms, to revisit the co-movements of Asian-Pacific public real estate markets among themselves and with the US, for a time span which covers the 12 January 1995–23 June 2016 period. Earlier research does not have satisfactory results because traditional methods average different relationships in time domain only. From the wavelet analysis, investors can extract the time-scale that most interests them. We find that the co-movement relationship across the real estate markets increases during the two major crisis period, as well as becomes stronger as the scale increases. Hong Kong and Singapore have the strongest time-scale co-movement relationship. Finally, the influence of domestic macroeconomic factors on real estate return co-movement appears to be greater at the long-term horizons than at the short-term horizons.
期刊介绍:
The Journal of Property Research is an international journal. The title reflects the expansion of research, particularly applied research, into property investment and development. The Journal of Property Research publishes papers in any area of real estate investment and development. These may be theoretical, empirical, case studies or critical literature surveys.