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Application of Volatility Models in Region-specific House Price Forecasting

  • Korea Real Estate Review
  • 2017, 27(3), pp.41-50
  • Publisher : korea real estate research institute
  • Research Area : Social Science > Law > Law of Special Parts > Law of Real Estate
  • Published : September 30, 2017

Young-Jin Jang 1 Hong Min-Goo 2

1건국대학교 일반대학원 부동산학과
2건국대학교

Accredited

ABSTRACT

Previous studies, especially that by Lee (2014), showed how time series volatility models can be applied to the house price series. As the regional housing market trends, however, have shown significant differences of late, analysis with national data may have limited practical implications. This study applied volatility models in analyzing and forecasting regional house prices. The estimation of the AR(1)-ARCH(1), AR(1)-GARCH(1,1), and AR(1)-EGARCH(1,1,1) models confirmed the ARCH and/or GARCH effects in the regional house price series. The RMSEs of out-of-sample forecasts were then compared to identify the best-fitting model for each region. The monthly rates of house price changes in the second half of 2017 were then presented as an example of how the results of this study can be applied in practice.

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