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Analysis of dynamical impacts of interest rate on expected housing price

  • Andrew Y.T. Leung
  • , Jiana Xu
  • , Janet X. Ge

    Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review

    Abstract

    The first interest rate hike in China during the last decade aiming to cool the seemly overheated real estate market arouses debate on whether financial policy is indeed effective for housing price adjustment. Different real estate markets have different scenarios during a sudden change (shock) of interest rate. A cobweb model is built to analyze the after-shock oscillations. Consideration includes the heterogeneous expectations of agents, supply lag and deprecation rate. In particular, user cost demand model and stock-flow supply model are used. The results show that the dynamics of the expected housing price varies substantially with these factors. Financial policies should be chosen carefully in consistence with each unique real estate market, since some portfolio parameters can increase or suppress the price oscillations.
    Original languageEnglish
    Title of host publicationAssociation of Researchers in Construction Management, ARCOM 2005 - Proceedings of the 21st Annual Conference
    Pages645-654
    Volume2
    Publication statusPublished - 2005
    Event21st Annual Conference on Association of Researchers in Construction Management, ARCOM 2005 - London, United Kingdom
    Duration: 7 Sept 20059 Sept 2005

    Publication series

    Name
    Volume2

    Conference

    Conference21st Annual Conference on Association of Researchers in Construction Management, ARCOM 2005
    PlaceUnited Kingdom
    CityLondon
    Period7/09/059/09/05

    Research Keywords

    • Cobweb model
    • Expected housing price oscillations
    • Heterogeneous expectations

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