Intrinsic Quasi-Periodicity in Hong Kong Housing Price and Its Prediction
Housing price time series is worth studying as it is closely related to the well-being of society. In the Hong Kong housing market from 1992 to 2010, signs of quasi-periodicity in housing price and transaction volume can be observed. We find that there is an overall periodicity of approximately 30 m...
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Veröffentlicht in: | New mathematics and natural computation 2020-11, Vol.16 (3), p.645-655 |
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description | Housing price time series is worth studying as it is closely related to the well-being of society. In the Hong Kong housing market from 1992 to 2010, signs of quasi-periodicity in housing price and transaction volume can be observed. We find that there is an overall periodicity of approximately 30 months in housing price changes and a strong lead–lag relationship between housing price and transaction volume. Analysis of the cross-covariance of the housing price, transaction volume and prime lending rate reveals that this quasi-periodicity is potentially driven by prime lending rates. Incorporation of quasi-periodicity into the kernel of Gaussian processes further enables us to construct a predictive model of the Hong Kong housing price trends that outperforms other traditional kernel functions. |
doi_str_mv | 10.1142/S1793005720500398 |
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Y.</creator><creatorcontrib>Yam, Wun Kwan ; Fong, Kin Long ; Wang, Juntao ; Cheong, Siew Ann ; Michael Wong, K. Y.</creatorcontrib><description>Housing price time series is worth studying as it is closely related to the well-being of society. In the Hong Kong housing market from 1992 to 2010, signs of quasi-periodicity in housing price and transaction volume can be observed. We find that there is an overall periodicity of approximately 30 months in housing price changes and a strong lead–lag relationship between housing price and transaction volume. Analysis of the cross-covariance of the housing price, transaction volume and prime lending rate reveals that this quasi-periodicity is potentially driven by prime lending rates. Incorporation of quasi-periodicity into the kernel of Gaussian processes further enables us to construct a predictive model of the Hong Kong housing price trends that outperforms other traditional kernel functions.</description><identifier>ISSN: 1793-0057</identifier><identifier>EISSN: 1793-7027</identifier><identifier>DOI: 10.1142/S1793005720500398</identifier><language>eng</language><publisher>Singapore: World Scientific Publishing Company</publisher><subject>Covariance ; Gaussian process ; Housing ; Kernel functions ; Periodic variations ; Prediction models</subject><ispartof>New mathematics and natural computation, 2020-11, Vol.16 (3), p.645-655</ispartof><rights>2020, The Author(s)</rights><rights>2020. The Author(s). This is an Open Access article published by World Scientific Publishing Company. 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Y.</creatorcontrib><title>Intrinsic Quasi-Periodicity in Hong Kong Housing Price and Its Prediction</title><title>New mathematics and natural computation</title><description>Housing price time series is worth studying as it is closely related to the well-being of society. In the Hong Kong housing market from 1992 to 2010, signs of quasi-periodicity in housing price and transaction volume can be observed. We find that there is an overall periodicity of approximately 30 months in housing price changes and a strong lead–lag relationship between housing price and transaction volume. Analysis of the cross-covariance of the housing price, transaction volume and prime lending rate reveals that this quasi-periodicity is potentially driven by prime lending rates. Incorporation of quasi-periodicity into the kernel of Gaussian processes further enables us to construct a predictive model of the Hong Kong housing price trends that outperforms other traditional kernel functions.</description><subject>Covariance</subject><subject>Gaussian process</subject><subject>Housing</subject><subject>Kernel functions</subject><subject>Periodic variations</subject><subject>Prediction models</subject><issn>1793-0057</issn><issn>1793-7027</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>ADCHV</sourceid><recordid>eNplkE1LxDAQhoMouK7-AG8Fz9VM0jbNURZ1iwuuqOcyzYdkWZM1aZH997bs4sXLvPPxPjMwhFwDvQUo2N0bCMkpLQWjJaVc1idkNrVyQZk4PebT_JxcpLQZLYJzOSNN4_vofHIqex0wuXxtogvaKdfvM-ezZfCf2fMUlmFIbtR1dMpk6HXW9GmszGjuXfCX5MziNpmro87Jx-PD-2KZr16emsX9Klecyjq3SFHzQpUF1lUJkiNY0JYK7HjBQGLXqaorkaNRupMSSwoSLGUaleQc-JzcHPbuYvgeTOrbTRiiH0-2rKgqEEVds9EFB5eKIaVobLuL7gvjvgXaTh9r_31sZOiB-Qlxq5NyxvfOOvWH_kd-Ad43bMI</recordid><startdate>202011</startdate><enddate>202011</enddate><creator>Yam, Wun Kwan</creator><creator>Fong, Kin Long</creator><creator>Wang, Juntao</creator><creator>Cheong, Siew Ann</creator><creator>Michael Wong, K. 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subjects | Covariance Gaussian process Housing Kernel functions Periodic variations Prediction models |
title | Intrinsic Quasi-Periodicity in Hong Kong Housing Price and Its Prediction |
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