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Modelling house price volatility states in the UK by switching ARCH models

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  • I-Chun Tsai
  • Ming-Chi Chen
  • Tai Ma
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    Abstract

    This article analyses investment risk in the housing market by examining volatility properties of house prices for the UK. We use both ARCH and GARCH models to estimate price conditional heteroscedasticity and find evidence of a time-varying property in the volatilities of the house price series. We then use the SWARCH model and find there are three volatility states in the price series. Our estimations suggest the UK housing markets are relatively stable and different states do not switch very often. The magnitude of high price volatility is as high as 20.99 times of the low volatility for the older housing market and 14 times of the low volatility for the new housing market. In addition, the older housing market is less efficient than the new housing market, since the impacts of events on the volatility state of the older house prices is more lasting than in new housing market.

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    File URL: http://www.tandfonline.com/doi/abs/10.1080/00036840701721133
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    Bibliographic Info

    Article provided by Taylor & Francis Journals in its journal Applied Economics.

    Volume (Year): 42 (2010)
    Issue (Month): 9 ()
    Pages: 1145-1153

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    Handle: RePEc:taf:applec:v:42:y:2010:i:9:p:1145-1153

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    Web page: http://www.tandfonline.com/RAEC20

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