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Examination of property forecasting models - accuracy and its improvement through combination forecasting

Author

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  • Arvydas Jadevicius
  • Brian Sloan
  • Andrew Brown

Abstract

This paper investigates property forecasting accuracy and its improvement. As it suggests, despite increased sophistication of property market modelling and forecasting, there still remains a degree of inaccuracy between model outputs and actual property market performance. Subsequently, the paper presents the principle of combination forecasting as a medium helping to achieve greater predictive accuracy. The research implements combination forecasting principle. It assesses whether combination forecasts from different forecasting techniques are better than single model outputs. It examines which of them - combination or single forecast - fits the UK property market better, and which of these options forecasts best.

Suggested Citation

  • Arvydas Jadevicius & Brian Sloan & Andrew Brown, 2012. "Examination of property forecasting models - accuracy and its improvement through combination forecasting," ERES eres2012_082, European Real Estate Society (ERES).
  • Handle: RePEc:arz:wpaper:eres2012_082
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    References listed on IDEAS

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    Cited by:

    1. Glennon, Dennis & Kiefer, Hua & Mayock, Tom, 2018. "Measurement error in residential property valuation: An application of forecast combination," Journal of Housing Economics, Elsevier, vol. 41(C), pages 1-29.

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    JEL classification:

    • R3 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Real Estate Markets, Spatial Production Analysis, and Firm Location

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